Escalating water scarcity threatens to sustainable food production, necessitating enhanced water use efficiency through effective water management practices. The present study aims to conduct water accounting in the groundwater-depleted districts of Haryana and Punjab, India, analysing the potential irrigation water savings achievable through the implementation of efficient management techniques in these selected districts. The study area encompasses Kaithal and Karnal districts in Haryana and Patiala and Sangrur districts in Punjab with water availability assessment for 2015. Results showed that there is a mismatch between the annual groundwater pumped and replenishable groundwater recharge in all selected districts indicating a need for improved water management. Adjusting the timing of rice sowing to align with the onset of the rainy season can significantly save water and reduce groundwater extraction. For instance, delaying rice transplanting from May 21st to June 15th can reduce crop water demand by 10.89%. Similarly, transplanting rice on June 15th can reduce water demand by 9.03%, 6.23%, 4.31%, and 2.46% compared to transplanting on May 26th, May 31st, June 5th, and June 10th, respectively. Shifting of a rice-wheat cropping system to a maize-wheat system can substantially decrease crop water demand. Replacing rice with maize can result in a 54.66% reduction in crop water demand per hectare.

  • Water accounting of Kaithal, Karnal, Patiala, and Sangrur was carried out.

  • Water demand was found to be more than the annual replenishable groundwater.

  • Delaying rice transplanting can save a significant amount of water.

  • Maize-wheat cropping pattern saves 54.66% more water than the rice-wheat cropping pattern.

  • Rice water demand is significantly influenced by the date of the transplanting.

CT

conventional tillage

ZT

zero-till

LLL

laser land levelling

RCTs

resource conservation technologies

RCBD

randomized complete block design

PTR

puddled transplanted rice

DSR

direct-seeded rice

ZTDSR

zero-till direct seeding of rice

LULC

land use and land cover

ETc

crop evapotranspiration

Kc

crop coefficient

ETo

reference evapotranspiration

FAO

Food and Agriculture Organization

Pe

green water storage

ABW

available water

AWsw

available surface water

AWgw

available ground water

CGWRuse

crop green water use

CBWuse

crop blue water use

GWabs

groundwater abstractions

Dos

water need for other sectors

NRW

unmet demand

IMD

India Meteorological Department

DIP

district irrigation plan

MCM

million cubic metres

CSA

climate-smart agriculture

CHCs

custom-hiring centres

IWMI

International Water Management Institute

Irrigated agriculture is a crucial component of the food production system, playing a vital role in fulfilling the current and future needs of the ever-increasing population (Rajput et al. 2017; Kushwaha et al. 2022). The world's population is projected to be 9.2 billion by 2050, necessitating increased food and water demand, prompting researchers to achieve higher irrigation efficiency and more production per unit volume of water use (Islam & Karim 2019). To meet our demand for food and fibre production, irrigated agriculture is crucial. The agriculture sector uses the most water around 80% of the total amount used annually in the nation. Irrigation water management promotes water delivery in a quantity that satisfies the needs of the developing plant while avoiding runoff and prolonged soil saturation. Water and energy can be conserved by improving application precision and decreasing unused applications (Rajput et al. 2022). Access to high-quality natural resources like land, water, and air is vital for life. However, overuse and contamination are depleting these resources. Conservation and sustainable practices are crucial to preserve these resources for future generations (Kushwaha et al. 2016; Kumar et al. 2022).

One of the largest food grain-producing regions in the world is the Indo-Gangetic Plain, India. Indian states like West Bengal, Punjab, Haryana, Uttar Pradesh, Himachal Pradesh, and Bihar cover about 10.5 million hectares of arable area and produce the majority of the nation's rice and wheat (Kumar & Sharma 2020). Due to the wide implementation of Green Revolution technology, which led to crop yield improvement and then area expansion, agricultural output growth in this region has been able to keep up with national food demand over the past 30 years. However, the potential for increasing the supply of arable land and natural resources is now diminishing rapidly (Eliazer Nelson et al. 2019). The conservation of the resources, namely, land and water, in the Indo-Gangetic Plain is another limitation for agriculture sustainability. The natural resources in this region are said to have been stressed by the rice–wheat system, and additional inputs are needed to achieve the same production levels (Shiferaw et al. 2013; Bhatt et al. 2021). Irrigation water saving and crop yield improvement can be enhanced by shifting from traditional farming practices.

The traditional methods of farming rice–wheat cropping system involve frequent ploughing (six to eight ploughings), cultivating, planking, and soil pulverization. In recent times, field preparation has been replaced with direct seeding of wheat utilizing zero-till (ZT) seed drills (Gupta & Seth 2007). Over 1 million ha of the Indo-Gangetic Plains' water requirement for rice–wheat farming systems has been successfully decreased by ZT. Laxmi et al. (2003) reported that ZT consumed 13–33% less irrigation water compared with conventional tillage (CT) for wheat crops. Other benefits that ZT offers over CT include better soil health, fuel savings of 75%, and increased levels of organic carbon (Malik et al. 2002). Compared to CT, reduced-tillage or No Tillage (NT), as a Conservation Agriculture (CA) component may enhance soil carbon.

Another technique for saving irrigation water and improving crop yield is the utilization of laser land levelling (LLL) (Chen et al. 2022). According to several studies, LLL in Pakistan reduced the amount of irrigation water used by around 25% and increased wheat yields by nearly 30% compared with traditional methods (Memon 2015). In the case of zero tillage wheat with LLL, a similar increase in yield and a decrease in irrigation water application were recorded in India and China. Saleem et al. (2023) experimented on 3 acres of farmland in south Punjab, Pakistan, to assess LLL with 0 and 0.05% gradients compared with traditional levelling. Results showed that LLL with a 0.05% gradient significantly reduced irrigation water use and increased water use efficiency and crop yield, followed by the 0% gradient. In addition, bolls per plant and final cotton yield were higher with a 0.05% gradient. This method resulted in higher net benefits due to the increased yield and the reduced irrigation water use. This study suggests that LLL with a 0.05% gradient offers significant advantages over 0% gradient and traditional levelling practices. The study by Kahlown et al. (2006) concluded that the adoption of resource conservation technologies (RCTs), such as ZT, laser levelling, and bed and furrow planting, decreased irrigation water applications by 23–45% while boosting yield. The advantages in agricultural productivity are often multiplied by the LLL conservation technique. LLL directly increases the advantages by eliminating any negative consequences of uneven fields. Ali et al. (2024) assessed the performance of chickpea (Cicer arietinum L.) under three levelling implements: planker, iron blade, and laser leveller. Conducted at Sindh Agriculture University, Tandojam, Pakistan, during the 2021–22 winter season, the field experiment used a randomized complete block design with three replications. Results showed that the laser leveller (T3) produced the best growth and yield traits, including days to 50% germination (18.0), flowering (47.53), and pod formation (77.53), plant height (72.63 cm), pods per plant (71.8), seed index (193.33 g), biological yield (4,226.66 kg/ha), grain yield (2,550.0 kg/ha), and harvest index (59.64%). The planker (T1) followed in performance, while the iron blade (T2) had the lowest results. Laser levelling ensures uniform water and fertilizer distribution and ease in field operations, leading to higher seed yields. Therefore, LLL of irrigated areas can also result in the following advantages either directly or indirectly. The land receives an even distribution of water, which increases irrigation effectiveness. In laser levelled fields, about 30% of the water is conserved; as a result, more land can be watered. The levelled field will yield 20% more because of more consistent germination (Jat et al. 2006). Equal fertilizer distribution increases its effectiveness and efficiency. Land levelling reduces erosion risks, enhances machine usage, and can expand crop area by reducing undesirable watercourses. It also reduces irrigation water needs, lowering tube well operation, electricity, and energy costs, while improving groundwater quality.

More than 90% of rice production and consumption takes place in Asia. Rice is typically grown in Asia using the transplanting technique. The transplanting method is used to raise rice nurseries, and after 20–30 days, the seedlings are moved into puddled soil (Chaudhary et al. 2022). This type of rice cultivation is referred to as puddled transplanted rice (PTR). Rice farming can benefit from scrubbing the soil. It makes a layer that is impervious, which reduces water loss through percolation, makes it simple to plant seeds, suppresses weeds, and fosters anaerobic conditions that increase nutrient availability (Sanchez 1973). The earliest known method of establishing rice is Direct-seeded rice (DSR). Before the 1950s, it was common, but over time, puddled transplanting took its place (Rao et al. 2007). The possibility of DSR as a substitute for PTR has been noted in numerous research. For instance, while keeping the conditions of irrigation application the same for both rice establishment procedures, on-farm testing in the Philippines showed an average of 67–104 mm (11–18%) irrigation water savings in wet-DSR than CT-PTR (Tabbal et al. 2002). As in India, where the criteria for irrigation application were either the formation of hairline cracks or tensiometer based (20 kPa at 20-cm depth), 10–15% water savings have been documented with dry-DSR compared with CT-PTR (Sudhir-Yadav et al. 2011). About 35–57% of water savings have been reported in research experiments in DSR sown into unpuddled soils.

Hossain et al. (2021) conducted a study to determine the optimal transplanting window for T. Aman rice to maximize rainfall utilization and minimize irrigation demand. Experiments were conducted over 3 years (2013–2015) in Kushtia, Bangladesh, with subsequent testing in Pabna and Rajshahi, and the field experiment involved six transplanting dates for the BR11 cultivar at 7-day intervals from July 10 to August 14. Results indicated that T. Aman rice received sufficient rainfall up to the vegetative phase across all locations and years, resulting in no irrigation demand during this phase. Early transplanting benefited from more rainfall during the reproductive phase, while delayed transplanting increased irrigation demand during this phase in all three locations. A significant relationship (R2 = 0.71) was found between reproductive phase ID and grain yield, whereas grain yield showed a weaker response to ID during the ripening phase. Yield performance identified July 10–24 as the suitable transplanting window for BR11 in Kushtia. For Pabna and Rajshahi, the optimal transplanting windows were July 10–17 and July 10–24, respectively. Kumar et al. (2024) assessed the zero-till direct seeding of rice (ZTDSR) with an optimal irrigation schedule can reduce water usage compared with PTR. Results indicated that the best schedule for ZTDSR was −15 kPa with straw mulch, saving 36.2 cm of water and increasing water productivity, but yielding 20% less grain than PTR. PTR had higher groundwater system loss (29.2 cm) compared with ZTDSR (23.6 cm). ZTDSR thus improves groundwater management, saves irrigation water, and enhances water productivity despite a lower grain yield, offering a solution to the groundwater crisis in northwest India.

Drawing upon the comprehensive literature survey presented earlier, it becomes evident that it is essential to quantify the availability of the various water resources in the for better planning and efficient utilization to make a sustainable environment. There are limited studies available in the literature that focus on the detailed computation of water balance components. The study addresses the pressing issue of water scarcity threatening sustainable food production by examining water use efficiency in groundwater-depleted districts of Haryana and Punjab, India. It highlights the potential for significant irrigation water savings through effective water management techniques. Unlike other studies, this study aimed at utilizing the finger diagram to represent the various dominant components of the water resources in a region and its comprehensive approach to water accounting and the practical solutions it offers, such as adjusting the timing of rice sowing to align with the rainy season and transitioning from traditional cropping systems to more water-efficient alternatives. In addition, the emphasis on the blue and green components of consumptive use and unmet water demand quantification are the novelties of the current study. This study discusses the different scenarios for practical solutions in the district. The study emphasizes the benefits of modern practices such as LLL and zero-till drills, which enhance water and nutrient use efficiency, improve crop yields, and facilitate proper drainage. These insights are crucial for promoting sustainable agriculture in regions facing severe water shortages. The main objectives of the present study are to conduct a comprehensive water accounting analysis in the groundwater-depleted districts of Haryana and Punjab, India, and to identify the potential savings in irrigation water that can be achieved through the implementation of efficient management techniques. The study aimed to provide valuable insights into the sustainable use of water resources, with a focus on promoting water conservation practices that support agricultural productivity in these critical regions. The implication of the findings of the current study could be to furnish valuable information about water use in the district administrative boundaries.

Study area description

The study districts are situated in the Indo-Gangetic plain in northern India. The first selected Haryana district was Kaithal, which is in the northeast of Haryana State, having geographical coordinates of north latitudes 29°31′ to 30°12′ and east longitudes 76°10′ to 76° 42′. The second selected Haryana district was Karnal, which lies on the western bank of the river Yamuna, having geographical coordinates of latitudes 29°25′05″ to 29°59′20″ and east longitudes 76°27′40″ to 77°13′08″. Another two districts were selected in Punjab State including Patiala and Sangrur. Patiala district is located in the south-eastern part of the State of Punjab in the Malwa region and lies between 29° 49′ to 30° 47′ north latitude and 75° 58′ to 76°54′ east longitude. The Sangrur district is one of the southern districts of the state and situated between 29°4′ to 30°42′ north latitude and 75°18′ to 76°13′ east longitude. The location of selected districts under the present study is shown in Figure 1.
Figure 1

Location map of the selected study area districts.

Figure 1

Location map of the selected study area districts.

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Land use and soil type

All the selected districts in both the states, namely, Haryana and Punjab, are dominated by the agriculture land use and land cover (LULC) type having more than 85.5% area under agriculture. These districts have varying areas with a minimum gross cropped area of 2,280.0 km2 in the Kaithal district and a maximum area of 3,614.52 km2 in Sangrur. The major soil types in the districts are sandy loam, loamy sand, loam, silty clay, and silt clay loam. The details of LULC and major soil texture types in different districts are presented in Table 1.

Table 1

Major land use and land cover in the selected districts

DistrictsGross cropped area (km2)Net sown area (km2)Dominant LULC (>85%)Soil texture
Kaithal (6 blocks) 2,280.00 2,020.00 Agriculture Sandy loam and loamy sand 
Karnal (5 blocks) 2,392.95 2,078.17 Agriculture Loam and silty clay 
Sangrur (10 blocks) 3,614.52 3,122.96 Agriculture Loam, loamy sand and sandy loam 
Patiala (8 blocks) 3,222.99 2,601.53 Agriculture Sandy loam, loamy sand, silt clay loam 
DistrictsGross cropped area (km2)Net sown area (km2)Dominant LULC (>85%)Soil texture
Kaithal (6 blocks) 2,280.00 2,020.00 Agriculture Sandy loam and loamy sand 
Karnal (5 blocks) 2,392.95 2,078.17 Agriculture Loam and silty clay 
Sangrur (10 blocks) 3,614.52 3,122.96 Agriculture Loam, loamy sand and sandy loam 
Patiala (8 blocks) 3,222.99 2,601.53 Agriculture Sandy loam, loamy sand, silt clay loam 

Cropping pattern

The Indo-Gangetic plain is dominated by the rice–wheat cropping pattern. Rice is the dominating crop in all the districts during the kharif season, and wheat has maximum area coverage during rabi season. In all the four districts, sugarcane is the third dominating crop having a minimum cultivation area of 3,400 ha in the Kaithal district and a maximum area of 11,100 ha in the Karnal district. Kaithal and Patiala districts have cotton area more than the sugarcane area. The net area sown with the major crops in the selected districts is displayed in Table 2.

Table 2

Principal crops, net sown area in the selected districts (ha)

DistrictsWheatRiceSugarcaneCotton
Kaithal 175,200 161,400 3,400 9,400 
Karnal 171,700 172,500 11,100 – 
Sangrur 233,136 229,643 2,484 – 
Patiala 285,763 274,590 2,870 9,536 
DistrictsWheatRiceSugarcaneCotton
Kaithal 175,200 161,400 3,400 9,400 
Karnal 171,700 172,500 11,100 – 
Sangrur 233,136 229,643 2,484 – 
Patiala 285,763 274,590 2,870 9,536 

Reference evapotranspiration (ETo) and rainfall variation

The crop evapotranspiration (ETc) estimation requires the computation of the ETo and knowing the crop coefficient (Kc) values for different crops during the crop growth stages. Results showed that ETo varied spatially in the selected districts. The maximum daily ETo rate was found in the Patiala district in May. The highest ETo values were observed in May for all the districts. For the Patiala district, a minimum ETo was found in January (1.94 mm/day) and a maximum in May (10.10 mm/day). Likewise, minimum and maximum ETo values for the Sangrur district were 1.96 and 7.24 mm/day in Jan and May, respectively. Kaithal and Karnal districts showed minimum ETo of 1.90 and 1.89 mm/day, respectively, and maximum ETo of 8.54 and 8.65 mm/day, respectively. The average ETo rates were 4.65, 4.23, 4.33, and 4.23 mm/day for the Patiala, Sangrur, Karnal, and Kaithal districts, respectively. Annual rainfall in the selected districts during 2015 was 745.50, 614.60, 469.38, and 495.20 mm in Patiala, Karnak, Kaithal, and Sangrur, respectively. Monsoon months, namely, Jun, July, Aug, and Sep, received a major part of the rainfall. Monthly variation of ETo and rainfall is displayed in Figures 2 and 3, respectively, for the selected districts.
Figure 2

Variation of ETo rate in different months for the selected districts.

Figure 2

Variation of ETo rate in different months for the selected districts.

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Figure 3

Variation of monthly rainfall in the selected district.

Figure 3

Variation of monthly rainfall in the selected district.

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Water accounting

Water accounting involves conveying information about water resources and the benefits derived from their consumptive use within a defined geographical area, ranging from river basins to entire countries or specific land use categories, to stakeholders like policymakers and water authorities (Molden & Sakthivadivel 1999). To be more precise, it entails a methodical examination of the current conditions and trends in water supply, demand, accessibility, and usage within a designated area, as defined by the FAO in 2012. This accounting method is rooted in a water balance approach, which considers the inflow and outflow of water within various units, including basins, subbasins, and specific utilization zones such as irrigation systems or agricultural fields. The initial step in performing a water balance involves identifying the area of interest by specifying its spatial and temporal boundaries; for example, it could be an irrigation system defined by its headworks and command area during a particular growing season. In adherence to the principle of mass conservation, the total inflow must equal the total outflow plus any changes in storage within the defined area over the specified time period. In this study, a modified version of the water accounting framework was utilized for assessing the water availability in the selected districts. The modified water accounting framework is shown in Figure 4.
Figure 4

The modified water accounting framework.

Figure 4

The modified water accounting framework.

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Estimation of water use components

To apply water accounting performance indicators to the study area, various water components were estimated. The investigation in this study focuses on the district administrative area. The total inflow to the system comprises rainfall volume (P), surface flow from outside the study area, and sub-surface flow (groundwater) entering the study region. We calculated the mean aerial rainfall depth data for the study area using the Thiessen polygon method. The total volume of water generated due to rainfall in the district was obtained by multiplying the rainfall depth by the geographical area.

Surface water available (AWsw) in the district includes water in surface water reservoirs such as dams and ponds. Data on groundwater availability (AWgw) in this district were sourced from CGWB (Central Ground Water Board) 2013 reports, which estimate annual groundwater recharge using the water table fluctuation method. The gross inflow to the system consists of the total precipitation volume and total transfer inflow, including surface water and groundwater flow into the domain. Gridded rainfall data with a resolution of 0.25° × 0.25° obtained from India Meteorological Department (IMD), Pune, were used for this purpose. The net inflow component of water accounting comprises the gross inflow to the district and any changes in storage. On an annual scale, we assumed that changes in storage (both surface and sub-surface) were negligible, consistent with previous studies. Therefore, in this analysis, the net inflow is considered equal to the gross inflow, excluding water allotted for committed use. The remaining water volume is available for use.

The available water includes blue available water (ABW) and green water storage (Pe). Blue water available consists of surface water and groundwater in the district. Total available surface water is determined as the water available from canals or other surface water reservoirs, while the available groundwater resource of the district is the groundwater recharged from rainfall. Annual groundwater recharge, or the ‘dynamic groundwater resources,’ is typically calculated using the method outlined in GWREC 1997, as followed by CGWB. These values for available surface and groundwater resources were obtained from the district irrigation plan reports.

Green water storage is represented as ‘effective rainfall’, indicating the portion of rainfall stored in the root zone for crop use. We calculated ‘effective rainfall’ using the USDA-SCS (U.S. Department of Agriculture – Soil Conservation Service) method (Kumar et al. 2017)), which considers multiple factors, including runoff, soil storage, evapotranspiration, and rainfall, unlike other empirical methods that solely rely on rainfall for this calculation. This method utilizes an empirical equation developed by scientists of the Soil Conservation Service, USDA, based on 50 years of rainfall data from 22 locations throughout the United States. The equation is as follows:
(1)
where Pe represents effective precipitation, SF is the soil storage factor, Pinf is the precipitation or rainfall in inches per day, and ETc is the crop evapotranspiration in inches per day.
The effective precipitation (Pe) represents monthly precipitation suitable for crops. Runoff was computed using the SCS-CN (Soil Conservation Service Curve Number) method (SCS 1985). This calculation was specific to the agricultural area. The soil storage factor (SF) in Equation (1) is determined as follows:
(2)
where D represents the usable soil water storage in inches, which is calculated as the difference between field capacity and wilting point of the soil.
The net inflow either diminishes or exits the system, following Molden (1997). Depleted water is the water used in various sectors within the district, including domestic, industrial, livestock, and agricultural sectors. Reference evapotranspiration (ETo) was determined using the Hargreaves–Samani method (Hargreaves & Samani 1985) since other weather parameters such as relative humidity were not available for the area. The equation for ETo is as follows:
(3)
where ETo represents daily reference evapotranspiration in mm per day, Ra represents daily extraterrestrial radiation in MJ/m2/day (calculated based on latitude), and T is the mean air temperature in degrees Celsius, estimated as the average of the minimum (Tmin) and maximum (Tmax) daily air temperatures. The coefficient 0.408 is a conversion factor from MJ/m2/day to mm/day, and 0.0023 is an empirical constant specific to the Hargreaves–Samani equation. Reference ETo values obtained were then multiplied by corresponding crop coefficient (Kc) values obtained from FAO 56 (Allen et al. 1998) to determine crop ETc values. GWabs, CGWRuse, CBWuse, and Dos represent groundwater abstraction, crop green water use, crop blue water use and water needed for other sectors' demand. Dataset used and the methodology developed in the present study are shown in Figure 5.
Figure 5

Methodological flow diagram developed for district water accounting.

Figure 5

Methodological flow diagram developed for district water accounting.

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Water accounting for the districts was estimated for an average rainfall year, 2015. Non-availability of temporal data on surface and groundwater resources (taken from District Irrigation Plans (DIPs) and CGWB reports) limits a more detailed water accounting considering variability in rainfall and will be carried out at the implementation stage of the project.

District level water accounting of selected districts

Kaithal district

The current research illustrates the water management analysis for four districts situated in Haryana and Punjab. These districts were deliberately chosen based on their water scarcity conditions and the state of groundwater utilization. All of the selected districts were classified as over-exploited regions due to the existing high levels of groundwater extraction. The water assessment for the Kaithal district is depicted using a visual representation in Figure 3. In the year 2015, the district received a total of 1,769.5 million cubic metres (MCM) of net ABW from rainfall. This net ABW comprises three main components: surface water (AWsw), groundwater (AWgw), and green water (Pe), with volumes of 174.8, 594.5, and 348.9 MCM, respectively. The primary crops cultivated in the district include rice (CDp), wheat (CDw), sugarcane (CDs), and cotton (CDc). Their respective water requirements for the crop season in 2015–2016 were 1,281.40, 500.90, 150.70, and 27.20 MCM. In addition to crop needs, other sector demands (Dos) such as domestic consumption, livestock, industrial usage, and hydropower generation were assessed for the year 2015 and totalled 62.43 MCM. Consequently, the overall water demand in the district comprises both crop water requirements and demands from other sectors, amounting to an estimated 2,158.4 MCM.

This leads to a significant disparity between the district's water demand for various purposes and the available renewable water resources within the district, resulting in a shortfall of 807.30 MCM. To meet this unmet demand, there has been an excessive reliance on groundwater extraction, which, unfortunately, has resulted in a decline in the local water table. A breakdown of water balance components is provided in Figure 6 for a more comprehensive understanding of the situation.
Figure 6

Water accounting of the Kaithal district.

Figure 6

Water accounting of the Kaithal district.

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Analysing the water accounting diagram for the Kaithal district, it becomes evident that a substantial portion of the water demand, totalling 807 MCM, remains unmet despite the utilization of the district's annual replenishable green and blue water resources. This shortfall has led to an excessive reliance on non-renewable groundwater extraction, resulting in a continuous decline in the district's water table. However, it is worth noting that a measurable amount of precipitation, amounting to 651.3 MCM, flows out of the district as outflows. This presents an opportunity for intervention through scientific methods to harness this water resource effectively. It can be employed to recharge groundwater reserves and can also be stored in surface water structures as blue water, which can be subsequently used for supplementary irrigation and to fulfil the water requirements of various other sectors within the region.

Karnal district

The water assessment of the Karnal district is visually represented in Figure 7 using a schematic diagram. In the year 2015, the district had a total net ABW resource of 2,398.3 MCM. This ABW can be categorized into three components: AWsw amounting to 283.1 MCM, AWgw accounting for 780.6 MCM, and Pe which contributes 450.0 MCM. The Karnal district predominantly cultivates rice (CDp), wheat (CDw), and cotton (CDc) as its major crops. For the crop period of 2015–2016, the water requirements for these crops were determined to be 1,393.0 MCM for rice, 503.1 MCM for wheat, and 172.4 MCM for cotton. In addition, the district had other sectoral demands (Dos) encompassing domestic, livestock, industrial, and hydropower needs, which totalled 66.7 MCM. When considering the cumulative water demands of crops and other sectors, the district's total water demand was estimated to be 2,446.4 MCM. This analysis reveals a deficit of 482.7 MCM, highlighting an unmet demand for water in the district. To compensate for this shortfall, there has been an excessive reliance on groundwater extraction, leading to a decline in the district's water table.
Figure 7

Water accounting of the Karnal district.

Figure 7

Water accounting of the Karnal district.

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Based on the water assessment block diagram of Karnal, it can be deduced that a substantial portion of the district's water demand, amounting to 482.7 MCM, remains unmet despite the availability of annual renewable green and blue water resources. Consequently, there is an excessive reliance on the extraction of non-renewable groundwater, resulting in a decline in the district's water table. However, it is noteworthy that a measurable portion of precipitation exits the district as surface outflows, totalling 884.6 MCM. This presents an opportunity for harnessing these outflows through scientific interventions, enabling the recharge of groundwater and the storage of blue water in surface reservoirs.

Patiala district

The water availability analysis of Patiala district, as depicted in the graphical representation in Figure 8, reveals that the total ABW in the district for the year 2015 amounted to 2,379.3 MCM. This ABW can be broken down into three main components: AWsw, AWgw, Pe, with respective magnitudes of 605.5, 1,490.8, and 571.0 MCM. Rice (CDp), wheat (CDw), and sugarcane (CDs) are the primary crops cultivated in the district, with water requirements during the 2015–2016 crop period measured at 1,840.2, 652.1, and 36.7 MCM, respectively. In addition to crop needs, other demands from various sectors such as domestic use, livestock, industrial activities, and hydropower generation were estimated for the year 2015 and totalled 175.8 MCM. Consequently, the overall water demand in the district encompasses both crop and sector-specific requirements, summing up to 2,704.8 MCM. However, there exists a notable deficit of 37.5 MCM between the district's water demand for various purposes and the renewable water resources available within the district. This unmet demand is currently met through the excessive extraction of groundwater, leading to a gradual decline in the district's water table.
Figure 8

Water accounting of the Patiala district.

Figure 8

Water accounting of the Patiala district.

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Based on the water availability analysis schematic for the Patiala district, it can be deduced that a significant portion of the water demand, amounting to 37.5 MCM, is not satisfied by utilizing the yearly renewable green and blue water resources accessible in the district. Consequently, there is an excessive extraction of non-renewable groundwater, leading to a gradual decline in the district's water table. In the year 2015, the net groundwater extraction in the district totalled 2,936.6 MCM, far surpassing the annual renewable replenishable groundwater resource of 1,490.8 MCM. This situation signifies that the district's groundwater development has reached a staggering 197%, indicating an overexploitation of groundwater resources.

Sangrur district

The water availability assessment for the Patiala district is visually presented in Figure 9. In 2015, the total accessible water in the district amounted to 1,704.0 MCM. This ABW is composed of three main components: AWsw, AWgw, and Pe, with respective quantities of 943.2, 1,440.5, and 253.0 MCM. The primary crops cultivated in the district include rice (CDp), wheat (CDw), sugarcane (CDs), and cotton (CDc). For the crop period of 2015–2016, the water requirements for these crops were determined as 2 436.5, 859.7, 48.3, and 74.4 MCM, respectively. In addition, other sector demands (Dos), encompassing domestic consumption, livestock, industrial activities, and hydropower generation, were estimated for the year 2015, totalling 115.3 MCM. Taking into account both crop and other sector demands, the overall water demand in the district was assessed at 3,534.2 MCM. This results in a substantial deficit of 897.5 MCM between the water demand for various purposes and the sustainable water resources available in the district. To compensate for this unmet demand, there is an excessive reliance on groundwater extraction, leading to a decline in the district's water table.
Figure 9

Water accounting of the Sangrur district.

Figure 9

Water accounting of the Sangrur district.

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The water assessment diagram for Sangrur indicates that a significant portion of the water demand, amounting to 897.5 MCM, is not met by utilizing the annual replenishable green and blue water resources available in the district. Consequently, there is an excessive reliance on non-replenishable groundwater extraction, which is leading to a decline in the district's water table. In such a scenario of declining groundwater levels, it is imperative to implement effective water management strategies to mitigate further depletion. This can be achieved through a variety of interventions, including adjusting the timing of rice crop planting to align with the onset of the rainy season, adopting LLL techniques, employing zero-till drills for wheat and direct-seeded rice, and replacing water-intensive rice crops with maize to reduce overall crop water demand.

The intercomparison of district water accounting components is displayed in Table 3. As it can be seen from Table 3, the unmet demand was the least for the Patiala district (37.5 MCM) and highest for the Sangrur district (897.5 MCM). This may be due to the higher utilization of green water use/effective rainfall in the Patiala district as compared with the other three districts. Surface and groundwater availability also influenced the unmet water demand. This unmet demand forces the exploitation of groundwater resources, thus resulting in overexploitation of the groundwater resources. The unmet demand in the Kaithal, Karnal, and Sangrur districts was 20.5, 11.9, and 22.9 times higher than in the Patiala district. As this water accounting was for a normal rainfall year, i.e., 2015, long-term water accounting assessment of spatially varied scale would facilitate devising better water management strategies.

Table 3

Intercomparison of different district water accounting components

Water accounting component (MCM)Districts
KaithalKarnalPatialaSangrur
Net available water from rainfall (P1,769.5 2,398.3 2,379.3 1,704.0 
Surface water (AWsw174.8 283.1 605.5 943.2 
Groundwater available (AWgw594.5 780.6 1,490.8 1,440.5 
Green water (Pe348.9 450.0 571.0 253.0 
Unmet demand 807.30 482.7 37.5 897.5 
Water accounting component (MCM)Districts
KaithalKarnalPatialaSangrur
Net available water from rainfall (P1,769.5 2,398.3 2,379.3 1,704.0 
Surface water (AWsw174.8 283.1 605.5 943.2 
Groundwater available (AWgw594.5 780.6 1,490.8 1,440.5 
Green water (Pe348.9 450.0 571.0 253.0 
Unmet demand 807.30 482.7 37.5 897.5 

Manageable interventions to improve agriculture sustainability

Effect of delayed transplanting of rice on crop evapotranspiration and crop water demand in selected districts

Kaithal district
Table 4 presents the estimated rice crop evapotranspiration (ETc) in different months within the district, taking into account various transplanting dates. It is evident from Table 3 that when rice transplanting was done on May 21, the seasonal rice ETc amounts to 885.82 mm. However, following the state government's recommended transplanting date, which is later, on June 15, the seasonal crop evapotranspiration decreases to 793.89 mm. Consequently, there is a potential reduction of 10.89% in the net crop water demand for rice by opting for the June 15th transplanting date. Similarly, when rice is transplanted on June 15, it leads to reduced crop evapotranspiration by 9.03, 6.23, 4.31, and 2.46% compared with transplanting on May 26, May 31, June 5, and June 10, respectively. However, it is important to note that transplanting on June 20, while further reducing rice crop evapotranspiration by 1.92% compared with June 15, may carry the risk of reduced yields. Across these various transplanting scenarios, rice crop water demand decreases proportionally when compared with the June 15th transplanting date. This approach offers a way to reduce the water demand for rice cultivation, subsequently lowering groundwater withdrawal. This approach can contribute to sustainable crop production without depleting deep groundwater aquifers. The impact of the transplanting date on rice crop demand is shown in Figure 10, where rice crop demand varies from the highest value of 1,429.71 MCM for May 21st transplanting to the lowest value of 1,258.13 MCM for June 20th transplanting, while considering the same rice cultivation area of 161,400 ha.
Table 4

Effect of transplanting dates on monthly rice ETc

Date of transplantingMayJunJulAugSeptOctNov
May 21 108.55 217.40 191.69 184.21 140.44 29.25 0.00 
May 26 59.21 216.58 196.42 184.21 145.03 50.15 0.00 
May 31 9.87 216.27 194.34 184.21 149.63 71.04 0.00 
June 5 0.00 187.25 192.26 184.21 154.23 91.93 0.00 
June 10 0.00 151.06 190.19 184.21 158.83 112.83 0.00 
June 15 0.00 107.63 187.69 184.21 161.59 132.12 6.37 
June 20 0.00 78.93 185.82 184.21 161.59 135.57 19.12 
Date of transplantingMayJunJulAugSeptOctNov
May 21 108.55 217.40 191.69 184.21 140.44 29.25 0.00 
May 26 59.21 216.58 196.42 184.21 145.03 50.15 0.00 
May 31 9.87 216.27 194.34 184.21 149.63 71.04 0.00 
June 5 0.00 187.25 192.26 184.21 154.23 91.93 0.00 
June 10 0.00 151.06 190.19 184.21 158.83 112.83 0.00 
June 15 0.00 107.63 187.69 184.21 161.59 132.12 6.37 
June 20 0.00 78.93 185.82 184.21 161.59 135.57 19.12 
Figure 10

Rice crop demand under different transplanting dates.

Figure 10

Rice crop demand under different transplanting dates.

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Karnal district
The data presented in Table 5 display the rice ETc in different months within the district, considering various transplanting dates. A notable observation from Table 4 is that when transplantation occurs on May 21, the seasonal crop water requirement is 893.72 mm. In contrast, following the state government's recommended transplanting date on June 15th, the seasonal rice ETc decreases to 807.82 mm. Consequently, there exists the potential to reduce the crop water demand for rice by 10.89% by opting for the June 15th transplanting date. Likewise, transplanting rice on June 15 results in a reduction in rice ETc by 9.03, 6.23, 4.31, and 2.46% compared with transplanting on May 26, May 31, June 5, and June 10, respectively. Furthermore, a 1.92% reduction in rice crop evapotranspiration can be achieved by choosing the June 20th transplanting date over the June 15th date. Across different transplanting scenarios, rice crop water demand decreases proportionally when compared with the June 15th transplanting date. This approach offers a means to decrease the water demand for rice cultivation, subsequently reducing groundwater withdrawal and aiding in sustainable crop production without depleting deep groundwater aquifers. Figure 11 visually represents the impact of the transplanting date on rice crop demand.
Table 5

Effect of transplanting dates on monthly rice ETc

Date of transplantingMayJunJulAugSeptOctNov
May 21 107.19 215.81 195.23 187.68 142.38 30.22 0.00 
May 26 58.47 215.00 200.04 187.68 147.05 51.80 0.00 
May 31 9.74 214.69 197.93 187.68 151.71 73.39 0.00 
June 5 0.00 185.88 195.81 187.68 156.37 94.97 0.00 
June 10 0.00 149.96 193.69 187.68 161.03 116.55 0.00 
June 15 0.00 106.84 191.15 187.68 163.83 136.49 6.62 
June 20 0.00 78.35 189.25 187.68 163.83 140.04 19.87 
Date of transplantingMayJunJulAugSeptOctNov
May 21 107.19 215.81 195.23 187.68 142.38 30.22 0.00 
May 26 58.47 215.00 200.04 187.68 147.05 51.80 0.00 
May 31 9.74 214.69 197.93 187.68 151.71 73.39 0.00 
June 5 0.00 185.88 195.81 187.68 156.37 94.97 0.00 
June 10 0.00 149.96 193.69 187.68 161.03 116.55 0.00 
June 15 0.00 106.84 191.15 187.68 163.83 136.49 6.62 
June 20 0.00 78.35 189.25 187.68 163.83 140.04 19.87 
Figure 11

Rice crop water demand under different transplanting dates.

Figure 11

Rice crop water demand under different transplanting dates.

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Patiala district
The effects of transplanting dates on rice ETc are displayed in Table 6. An important observation from this table is that when transplantation occurs on May 21st, the seasonal crop water requirement amounts to 897.60 mm. In contrast, adhering to the state government's recommended transplanting date on June 15 reduces the seasonal crop evapotranspiration to 801.35 mm. Figure 12 visually represents the impact of the transplanting date on rice crop water demand.
Table 6

Effect of transplanting dates on monthly rice ETc

Date of transplantingMayJunJulAugSeptOctNov
May 21 104.94 215.16 187.11 179.27 135.28 27.02 0.00 
May 26 57.24 214.35 191.72 179.27 139.71 46.33 0.00 
May 31 9.54 214.04 189.70 179.27 144.14 65.63 0.00 
June 5 0.00 185.33 187.67 179.27 148.57 84.93 0.00 
June 10 0.00 149.51 185.64 179.27 153.00 104.23 0.00 
June 15 0.00 106.52 183.21 179.27 155.65 122.06 5.82 
June 20 0.00 78.12 181.38 179.27 155.65 125.24 17.46 
Date of transplantingMayJunJulAugSeptOctNov
May 21 104.94 215.16 187.11 179.27 135.28 27.02 0.00 
May 26 57.24 214.35 191.72 179.27 139.71 46.33 0.00 
May 31 9.54 214.04 189.70 179.27 144.14 65.63 0.00 
June 5 0.00 185.33 187.67 179.27 148.57 84.93 0.00 
June 10 0.00 149.51 185.64 179.27 153.00 104.23 0.00 
June 15 0.00 106.52 183.21 179.27 155.65 122.06 5.82 
June 20 0.00 78.12 181.38 179.27 155.65 125.24 17.46 
Figure 12

Rice crop demand under different transplanting dates.

Figure 12

Rice crop demand under different transplanting dates.

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Sangrur district
Table 7 presents the rice ETc for different months under the influence of various transplanting dates. The impact of the transplanting date on rice water demand is illustrated in Figure 13.
Table 7

Effect of transplanting date on monthly rice ETc

Date of transplantingMayJunJulAugSeptOctNov
May 21 126.72 242.10 195.24 186.44 149.28 33.25 0.00 
May 26 69.12 241.19 200.06 186.44 154.17 57.00 0.00 
May 31 11.52 240.84 197.94 186.44 159.06 80.75 0.00 
June 5 0.00 208.53 195.82 186.44 163.95 104.50 0.00 
June 10 0.00 168.22 193.71 186.44 168.83 128.25 0.00 
June 15 0.00 119.86 191.17 186.44 171.77 150.19 7.11 
June 20 0.00 87.90 189.26 186.44 171.77 154.10 21.34 
Date of transplantingMayJunJulAugSeptOctNov
May 21 126.72 242.10 195.24 186.44 149.28 33.25 0.00 
May 26 69.12 241.19 200.06 186.44 154.17 57.00 0.00 
May 31 11.52 240.84 197.94 186.44 159.06 80.75 0.00 
June 5 0.00 208.53 195.82 186.44 163.95 104.50 0.00 
June 10 0.00 168.22 193.71 186.44 168.83 128.25 0.00 
June 15 0.00 119.86 191.17 186.44 171.77 150.19 7.11 
June 20 0.00 87.90 189.26 186.44 171.77 154.10 21.34 
Figure 13

Rice crop water demand under different transplanting dates.

Figure 13

Rice crop water demand under different transplanting dates.

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Effect of replacement of rice by maize on crop demand in selected districts

Kaithal district
Introducing maize cultivation as an alternative to rice (non-basmati) can effectively address the issue of declining groundwater levels. Maize requires significantly less water during its growth season compared with rice. By substituting rice with maize, the crop water demand per hectare can be reduced by a substantial 54.66%. Therefore, replacing rice cultivation with maize in non-basmati growing areas (40%) has the potential to conserve as much as 291.68 MCM of water that can be allocated for subsequent seasons. This proactive measure contributes to a reduction in groundwater extraction, minimizing CO2 emissions associated with groundwater pumping and alleviating pressure on aquifers. In addition, it leads to fewer instances of stubble burning, resulting in reduced environmental pollution. The net water savings achieved by replacing rice with maize in the Kaithal district across different replacement scenarios, including 10, 20, 30, and 40% of the rice crop area, amount to 72.92, 145.84, 165.64, and 220.86 MCM, respectively. Figure 14 presents an illustration of the impact of substituting rice with maize on water savings under these four replacement scenarios.
Figure 14

Effect of rice replacement by maize on water saving.

Figure 14

Effect of rice replacement by maize on water saving.

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Karnal district
Replacing rice cultivation with maize, particularly in non-basmati varieties, presents a viable solution to address the issue of declining groundwater levels. Maize requires significantly less water during its growing season when compared with rice. By substituting rice with maize, the crop water demand can be reduced by an impressive 54.66%. As a result, replacing rice cultivation with maize in non-basmati growing areas (at a rate of 40%) has the potential to conserve a substantial amount of water, totalling 347.32 MCM, which can then be utilized in subsequent seasons. This proactive measure contributes to a reduction in groundwater extraction, thereby mitigating CO2 emissions associated with groundwater pumping and alleviating pressure on aquifers. Moreover, it leads to fewer incidents of stubble burning, resulting in reduced environmental pollution. Figure 15 presents a visual representation of the impact of substituting rice with maize on water conservation.
Figure 15

Effect of rice replacement by maize on water saving.

Figure 15

Effect of rice replacement by maize on water saving.

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Patiala district
Substituting maize for rice cultivation, particularly in non-basmati varieties, offers a practical strategy to address the declining groundwater levels. Maize significantly reduces water requirements during its growing season compared with rice. Replacing rice with maize results in a remarkable 54.66% reduction in crop water demand. Consequently, substituting rice cultivation with maize in non-basmati growing areas (at a rate of 40%) has the potential to conserve a substantial amount of water, amounting to 395.57 MCM of crop demand water, which can then be utilized in subsequent seasons. This proactive measure contributes to a reduction in groundwater extraction, thus mitigating CO2 emissions associated with groundwater pumping and alleviating pressure on aquifers. Furthermore, it leads to fewer instances of stubble burning, resulting in reduced environmental pollution. Figure 16 presents a visual representation of the impact of replacing rice with maize on water savings under four replacement scenarios of 10, 20, 30, and 40%.
Figure 16

Effect of rice replacement by maize on water saving.

Figure 16

Effect of rice replacement by maize on water saving.

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Sangrur district
Replacing rice with maize, especially in non-basmati varieties, can serve as a viable strategy for addressing the declining groundwater levels. Maize cultivation demands significantly less water during its growth season compared with rice. This substitution results in a noteworthy reduction of 54.66% in crop water requirements. Consequently, replacing rice cultivation with maize in non-basmati growing regions (at a rate of 40%) has the potential to conserve a substantial amount of water, totalling 439.31 MCM of crop demand water, which can then be utilized in subsequent seasons. This proactive measure contributes to a reduction in groundwater extraction, thereby mitigating CO2 emissions associated with groundwater pumping and alleviating pressure on aquifers. In addition, it leads to fewer instances of stubble burning, resulting in reduced environmental pollution. Figure 17 presents a visual representation of the impact of replacing rice with maize on water savings under four replacement scenarios of 10, 20, 30, and 40%.
Figure 17

Effect of rice replacement by maize on water saving.

Figure 17

Effect of rice replacement by maize on water saving.

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Effect of laser land levelling on crop water demand in selected districts

Haryana districts
The proposed water-saving strategies encompass a 19.9% reduction in water usage for rice and a 22% reduction for wheat crops. The implementation of laser land levelling (LLL) as opposed to traditional land levelling (TLL) results in substantial irrigation water savings. To calculate the total water demand for these crops under traditional land cultivation practices, an overall irrigation efficiency of 60% for rice and 50% for wheat is considered. In the case of the Kaithal district, adopting LLL for wheat cultivation can lead to a reduction in crop water demand by approximately 183.66 MCM compared with the use of traditional levelling techniques. For rice cultivation, the adoption of LLL can yield even greater water savings, amounting to 510.00 MCM. The total gross crop water demand for rice and wheat is estimated at 2,562.80 and 834.83 MCM, respectively, under TLL, in contrast to 2,053.80 and 651.97 MCM under LLL. Similarly, for the Karnal district, adopting LLL in wheat cultivation can reduce crop water demand by approximately 184.47 MCM compared with TLLs, assuming an irrigation efficiency of 60% for rice and 50% for wheat. In the case of rice cultivation, implementing LLL can result in a significant reduction in gross crop water demand, equivalent to 554.41 MCM. Under TLL, the total gross crop water demands for rice and wheat are 2,786.0 and 838.50 MCM, respectively, as opposed to 2,231.59 and 654.03 MCM under LLL. Figure 18 shows crop water demand of rice–wheat in the Kaithal district under TLL and LLL methods.
Figure 18

Crop water demand of Rice–Wheat in the Kaithal district under TLL and LLL.

Figure 18

Crop water demand of Rice–Wheat in the Kaithal district under TLL and LLL.

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Punjab districts
In the Patiala district, opting for LLL for wheat cultivation can lead to a substantial reduction in crop water demand, amounting to 239.10 MCM, when compared with TLL. Likewise, for rice cultivation, the adoption of LLL has the potential to significantly reduce crop water demand by up to 732.42 MCM. The effects of LLL on water conservation are visually presented in Figure 19 for districts within Punjab. In the Sangrur district, choosing LLL for wheat farming has the potential to considerably decrease the crop's water requirements, resulting in a savings of 315.23 MCM compared with TLL. Similarly, when it comes to rice cultivation, adopting LLL can lead to a significant reduction in crop water demand, with potential savings of up to 969.71 MCM.
Figure 19

Crop water demand of Rice–Wheat in Punjab districts under TLL and LLL.

Figure 19

Crop water demand of Rice–Wheat in Punjab districts under TLL and LLL.

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Effect of zero-till drill and zero-till direct seed rice on crop demand in rice–wheat cropping pattern

Haryana districts
The adoption of the ZTDSR-ZTW (zero-till direct-seed rice-zero-till wheat) system over the PTR-CTW system in the Kaithal district can result in water savings of 45.92 MCM in wheat crops and 768.84 MCM in rice crops. Similarly, in the Karnal district, both wheat and rice crops can experience reductions in gross water demand. Specifically, there can be a reduction of 46.12 MCM in wheat and 835.80 MCM in rice crop demand in Karnal. The impact of the ZTDSR-ZTW system and the PTR-CTW system on crop demand for rice and wheat cropping systems in Haryana districts is depicted in Figure 20.
Figure 20

Effect of ZTDSR-ZTW and PTR-CTW on crop demand of rice and wheat.

Figure 20

Effect of ZTDSR-ZTW and PTR-CTW on crop demand of rice and wheat.

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Punjab districts
The adoption of the ZTDSR-ZTW system instead of the PTR-CTW system in the Patiala district can result in significant water savings, with 523.21 MCM saved in wheat crop and 101.21 MCM saved in rice crop. Similarly, in the Sangrur district, substantial water savings are achievable, with 257.92 MCM in wheat and 730.94 MCM in rice crop demand reductions. The impact of the ZTDSR-ZTW system and the PTR-CTW system on crop demand for rice and wheat in districts within the Punjab state is visually represented in Figure 21.
Figure 21

Effect of ZTDSR-ZTW and PTR-CTW on rice and wheat cropping system.

Figure 21

Effect of ZTDSR-ZTW and PTR-CTW on rice and wheat cropping system.

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The present study conducted water accounting for four groundwater-depleted districts (Kaithal and Karnal in Haryana, and Patiala and Sangrur in Punjab, India) and explored various resource conservation techniques. These techniques include delayed transplanting of rice, shifting rice cultivation to maize, LLL, and zero-till drilling for water saving and sustainable use of resources. The results presented in Section 3 provide valuable insights into the water management challenges faced by selected districts in Haryana and Punjab, India. These findings underscore the urgent need for sustainable water management strategies in regions grappling with over-exploitation of groundwater resources and water scarcity. The water accounting conducted for the Kaithal, Karnal, Patiala, and Sangrur districts offers a clear picture of the severity of water stress in these regions. All four districts exhibit a significant gap between water demand and the ABW resources. This unmet demand is primarily met through excessive groundwater withdrawal, leading to a decline in the water table. The consequences of such groundwater depletion are far-reaching, affecting not only agricultural sustainability but also the environment and the livelihoods of the local population. The over-exploitation of groundwater, as indicated by the excessively high stage of groundwater development (>100%), is a critical concern in these districts. Groundwater serves as a lifeline for agriculture in these regions, and its depletion jeopardizes the livelihoods of farmers who heavily rely on it for irrigation. The declining water tables exacerbate the cost of extraction, often requiring deeper and more energy-intensive borewells. This situation is economically unsustainable for small and marginal farmers who form a significant portion of the agricultural landscape in these areas.

Furthermore, the ecological impacts of groundwater depletion are significant. It leads to land subsidence, which can damage infrastructure and disrupt surface water flow patterns. Moreover, as the results highlight, excessive groundwater withdrawal contributes to the outflow of water from these districts. This lost water represents a missed opportunity for recharging groundwater aquifers or storing it for supplemental irrigation, which could mitigate the need for further groundwater extraction. The crop water demand in these districts, reveals that rice, wheat, sugarcane, and cotton are among the principal crops. The water requirements of these crops, particularly rice and sugarcane, are substantial. The results suggest that crop selection and cultivation practices play a pivotal role in water management. Encouragingly, the results show that interventions like delaying rice transplanting can significantly reduce crop water demand without sacrificing crop yield. The irrigation water demand of the rice was substantially reduced by late planting in Bangladesh (Acharjee et al. 2019). However, the delayed transplanting dates should be carefully identified to avoid the risk of heat stress which may reduce the crop yield. In our study, we have also observed that shifting the paddy transplanting date to match the onset of onset of the rainy season can save an ample quantity of water and thus reduce the irrigation demand. The delayed transplanting strategy aligns crop water demand with the onset of the rainy season, thereby reducing the reliance on groundwater for irrigation. In addition, the proposal to replace water-intensive rice with maize in a certain proportion of cultivated land is a promising intervention. Maize requires significantly less water compared with rice, and such substitutions could contribute to substantial water savings. Shifting from rice to millet (pearl millet) and wheat to sorghum reduces water requirements by 32% (Chakraborti et al. 2023). We also observed similar results for shifting from a rice–wheat cropping pattern to a maize–wheat cropping pattern. It is essential to highlight that crop diversification can enhance the resilience of agricultural systems and reduce the pressure on water resources. Kulkarni et al. (2023) showed that the main reason why Marathwada, India, faces persistent droughts, leading to farmer suicides, is erratic rainfall patterns and shifting to high-water demand crops, exacerbating groundwater depletion, outweighing rainfall variations. In another study (Davis et al. 2017), it was found that optimizing crop distribution can save water, enhance productivity, and preserve diversity. Their global analysis identified the potential to reduce blue water use by 12% and provide food for an additional 825 million people. Villalba et al. (2024) assessed the adoption of RCTs such as laser land leveller (LLL) and happy seeder in climate-smart villages, Haryana, using data from 120 farmers. Results revealed the adoption rate of 77% for laser land levellers and 52% for happy seeders, with most farmers preferring to hire rather than purchase these technologies due to financial limitations. Farmers typically seek funding from family, savings, and moneylenders instead of commercial banks to avoid bureaucratic delays. The study highlights the crucial role of custom-hiring centres in facilitating climate-smart agriculture adoption and suggests that institutional innovations are needed to enhance credit access for smallholder farmers. These findings have significant implications for policymakers aiming to improve agricultural finance and promote climate resilience. Kapuria & Banerjee (2022) examined cereal production in the lower Indo-Gangetic plains of West Bengal, India, focusing on the impact of different crop-shifting scenarios on water demand and nutrient production. The analysis revealed that replacing the summer crop (Boro rice) with maize in each district can reduce irrigation water demand and enhance the production of macronutrients and micronutrients. This shift has significant implications, as the sustainability of future crop production depends on the availability of groundwater crucial resource for maintaining grain self-sufficiency in the region.

The present study also explores the potential benefits of delayed transplanting, crop diversification, and LLL over TLL in reducing crop water demand. The results indicate that LLL can significantly decrease water requirements for both wheat and rice crops. This finding is noteworthy as it presents a practical and readily implementable solution to optimize water use in agriculture. Adopting LLL can not only save water but also improve crop yields and reduce energy consumption, as it enables more efficient irrigation practices. The advantages of employing LLL in diverse agricultural production systems have been extensively documented (Ahmad et al. 2014; Aquino et al. 2015; Ali et al. 2018). Foremost advantages encompass heightened water productivity, notably in flooded rice systems, reduced irrigation needs, and quicker water distribution across fields (Jat 2012). LLL additionally bolsters crop yield and farm profitability (Ali et al. 2018). In water-intensive flood-irrigated settings, LLL aids in optimizing land and crop management for increased food production with reduced water and energy consumption (Ahmad et al. 2014). Obtained results also suggested the potential water-saving benefits of zero-till drill and zero-till direct seed rice (ZTDSR-ZTW) systems compared with the conventional PTR-CTW system. The results indicate that adopting ZTDSR-ZTW can lead to significant reductions in crop water demand. These conservation agriculture practices, which involve minimal soil disturbance and direct seeding, can enhance soil health, increase water infiltration, and reduce evaporation, ultimately leading to water savings. Yadav et al. (2021) concluded that crop establishment innovations, like ZTDSR and machine-transplanted rice, reduce weeds, boost yields, save labour and water, and enhance soil health in India's rice–wheat cropping system, ensuring sustainable agriculture. Balasubramanian & Hill (2000) found that DSR demonstrates greater drought resilience and increased profitability in areas with reliable irrigation. DSR systems conserve 11–18% of irrigation water (Tabbal et al. 2002) and reduce labour needs by 11–66%, varying with location, season, and DSR type (Rashid et al. 2009). Tomar et al. (2020) reported that LLL saved irrigation water by 16.36, 14.54, 16.66, and 21.15% compared with traditionally levelled fields, and by 27.27, 27.27, 31.66, and 47.11% compared with unlevelled fields for wheat crop in the Morena, Madhya Pradesh. This highlights the significance of the LLL technique in conserving irrigation water, which may be utilized to bring additional land area under an assured irrigation facility. The assumptions considered in the current study include zero changes in the storage components of the water balance on an annual basis. Budyko (1974) assumed zero change in the storage within the catchment in Budyko-based water balance models. Our study also relies on a similar assumption. Also, Zhang et al. (2008) reported that for the long-term effects, the change in the storage within a catchment becomes negligible. Our finding also used the same approach for the storage water accounting component. The limitation of the present study is that the analysis was done for a single year due to the non-availability of the data sources. However, long-term assessment of water accounting components varied at spatial scales would aid in effective planning and management of the water resources.

The present investigation also concluded that crop selection and cultivation practices, LLL, and conservation agriculture techniques offer practical solutions to mitigate the water crisis. It is essential to recognize that addressing water scarcity is a multidimensional challenge that requires the collaboration of government bodies, research institutions, non-governmental organizations, and local communities.

Several water management strategies discussed in this study aim to mitigate groundwater depletion, reduce carbon emissions from excessive groundwater pumping, lower pumping costs, and minimize environmental pollution. Achieving optimal outcomes requires the integrated implementation of these interventions. The water accounting analysis of the studied districts has identified opportunities to harness water outflows through engineering solutions. The main conclusions drawn from the study are as follows:

  • The water accounting analysis of the selected districts in the Punjab and Haryana states revealed that there is a mismatch between the water supply available and water demand.

  • Patiala district showed the least unmet demand from the ABW (37.5 MCM), while Kaithal, Karnal, and Sangrur showed unmet demand of 807.3, 482.7, and 897.5 MCM, emphasizing the pressure on the groundwater resource to fulfil this unmet water demand.

  • The unmet demand in the Kaithal, Karnal, and Sangrur districts was 20.5, 11.9, and 22.9 times higher than in the Patiala district emphasizing the adoption of water management strategies.

  • Adjusting the timing of rice sowing/transplanting to align with the onset of the rainy seasons can lead to decreased crop evapotranspiration, resulting in significant water savings and reduced groundwater extraction.

  • Shifting from a rice–wheat cropping system to a maize–wheat system can substantially decrease crop water demand. Replacing rice with maize can result in a 54.66% reduction in crop water demand per hectare.

  • Another beneficial practice is the adoption of LLL. The implementation of LLL in Haryana and Punjab districts resulted in significant water savings: in the Kaithal district, water demand for wheat was reduced by 183.66 MCM and rice by 510.00 MCM, while in Karnal, wheat and rice demands dropped by 184.47 and 554.41 MCM, respectively. In Patiala, LLL reduces wheat water demand by 239.10 MCM and rice by 732.42 MCM; in Sangrur, savings are 315.23 MCM for wheat and 969.71 MCM for rice. Overall, LLL reduces water demand for rice by 19.9% and for wheat by 22%.

  • The adoption of the ZTDSR-ZTW system significantly reduces water demand in Haryana and Punjab districts. In Kaithal, water demand decreases by 45.92 MCM for wheat and 768.84 MCM for rice, while in Karnal, the reduction is 46.12 MCM for wheat and 835.80 MCM for rice. In Punjab's Patiala district, the system saves 523.21 MCM for wheat and 101.21 MCM for rice, and in Sangrur, it saves 257.92 MCM for wheat and 730.94 MCM for rice.

Future research should focus on integrating the various water management strategies discussed in this study to create a comprehensive approach to mitigate groundwater depletion, reduce carbon emissions from excessive pumping, lower pumping costs, and minimize environmental pollution. Specific areas for further investigation include the development and implementation of engineering solutions such as check dams, pond construction, and runoff diversion to enhance water storage. By pursuing these directions, future studies can provide actionable insights and practical solutions to ensure sustainable water management and agricultural productivity in water-scarce regions. The limitations of the study include the inflows and outflows of surface and groundwater components into the study domain, and thus, these components were not considered at this stage of the investigation. We assumed zero changes in the storage components of the water balance on an annual basis. Also, the assessment was done for a single year due to data unavailability and more such analysis should be done for multiple years for conclusive supply–demand analysis.

This work was done under an IWMI project. The project ‘Transforming Rice-Wheat Food Systems in India’ is financed by the Global Environment Facility (GEF) under the Food Systems, Land Use and Restoration (FOLUR) Impact Program. The IWMI, New Delhi, received the funding.

Every co-author has reviewed and consented to the submission of this article to the Journal of Water Supply.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

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