The scientific report assessed the impact of Nalla Lai wastewater on the groundwater quality of Rawalpindi city, Pakistan. A total of 19 wastewater and 49 groundwater samples were collected during September and October 2016 and have been analyzed in the laboratory to detect different water quality parameters. The results revealed that BOD (biological oxygen demand), COD (chemical oxygen demand), iron, and cadmium values in many wastewater samples were beyond the recommended value of the National Environmental Quality Standards 1997 (NEQs, 1997). In groundwater samples, the results of iron, cadmium, manganese, zinc, TDS (total dissolved solids), pH, color, and hardness were found elevated from the standard values in one or more samples as compared with the National Standard for Drinking Water Quality, 2010 (NSDWQ, 2010). The decreasing metal concentration order in groundwater samples was iron > zinc > manganese > copper > cadmium. Very interestingly, hardness was found at elevated levels in 75% of investigated groundwater samples. Microbiological contamination was detected in 83% of the analyzed groundwater samples. The study revealed the percolation of heavy metals and microbial contamination in the bore water, tube wells, hand pumps, springs, and hand-dug wells located nearby the Nalla Lai wastewater stream.

  • This scientific study evaluates the impact of Nalla Lai wastewater stream on the groundwater quality.

  • BOD, COD, iron and cadmium, manganese, zinc, TDS, pH, color, and hardness concentration were detected elevated in one or more samples as compared with the National Standards.

  • Hardness was elevated in 75% samples and microbial contamination was investigated in 85% of the analyzed groundwater samples.

Groundwater is the drinking water source of one-third of the global population. It is a valuable freshwater resource used for household, farming, and industrial purposes (Li et al. 2013; International Association of Hydrogeologists 2020). The freshwater of Earth is about 2.5 and 30% of this resource exists in groundwater (USGS 2016). The world is facing a crisis of water quality due to the contamination of freshwater resources from rapid urbanization and industrialization (Poonia et al. 2021). Groundwater contamination is a very noteworthy environmental concern of the time (Momodu & Anyakora 2010). Regardless of its importance, water resource is not properly managed on earth (Fakayode 2005). As compared with other water resources, groundwater can be less polluting by open discarding of waste (Tariq et al. 2008). Various researches have been conducted to determine the fate of emerging organic pollutants in the subsurface through the downward movement of wastewater and industrial effluents (Lapworth et al. 2012). Groundwater contamination can be resulting from the leakage of sewage (Eiswirth & Hötzl 1997). The primary source of groundwater contamination in Lahore, Pakistan is leakage of sewer lines and landfill sites where percolation of leachate and sewage contaminates the groundwater quality (Akhtar et al. 2014). The main sources of groundwater pollution in Pakistan are the discharging of waste effluents into water bodies by many industrial units including textiles, fertilizers, pesticides, steel, dying chemicals, cement, leather, etc. (Tariq et al. 2006). The groundwater quality deterioration resulting from leachate percolation mainly occurs during monsoon season and escalates the diseases related to groundwater contamination. Groundwater contamination occurs mostly in the vicinity of landfill and municipal waste disposal sites and increases the chances of percolation in aquifers (Butt & Ghaffar 2012). The organic pollutants such as oil and pesticides in groundwater are present mostly due to anthropogenic activities whereas geological sources are the cause of inorganic pollutants in groundwater (Memon et al. 2011). In groundwater, heavy metals can be present from natural and anthropogenic sources (Singh & Kamal 2017; Reza & Singh 2019). Environmental contaminants including heavy metals, pesticides, trace organic contaminants, nanoparticles, hydrocarbons, and microplastic are a menace to both human health and ecological services, and also to sustainable social and economic development (Li & Wu 2019; Li 2020). Groundwater contamination is a well-known topic in research studies which is a huge challenge to human populations (Lin 2010). Groundwater remediation is challenging as well as costly because it is found in surface geological strata (Su et al. 2020; Wang et al. 2020). Due to the presence of groundwater in subsurface geological strata, its remediation is challenging as well as expensive. The sources of groundwater pollution in metropolitan areas include point sources, non-point sources, and linear sources (Choi et al. 2005). The natural remediation process of groundwater can take 10 years to hundreds of years, even if the contamination source is removed (Tatti et al. 2019). Heavy metals and metalloids are a danger to both human health and the natural environment. The metals present in groundwater include zinc, mercury, chromium, lead, cadmium, and metalloids such as arsenic and selenium. Although a small concentration of these elements is a necessary micronutrient, exposure to these chemical substances can cause severe poisoning (Hashim et al. 2011). Groundwater used for irrigation if contaminated with heavy metals can results in health risks due to the accumulation of toxic elements in vegetables and cereals (Jenifer & Jha 2018; Njuguna et al. 2019; Yuan et al. 2019). Groundwater contamination is an environmental as well as a social issue. Therefore, a mutual collaboration between the natural scientist and social scientist is mandatory (Ciner et al. 2021). The rapid economic development and population growth have built pressure on groundwater resources. There are 2.8 million wells only in China (Han 2003) and the heavy extractions of groundwater have dropped their level. Groundwater contamination is the most important concern because it is connected to the survival of humans. The identification, remediation, and assessment of groundwater contamination are the most significant topics these years (Domínguez-Mariani et al. 2004). Globally 3.4 million deaths occur due to waterborne diseases (Berman 2009). In developing countries, 2.2 million people lose their lives each year because of drinking contaminated water and inappropriate sanitation system (WHO & UNICEF 2000; UNESCO 2003). Water contamination is the paramount health and environmental issue in Pakistan. Waterborne disease such as hepatitis, diarrhea, typhoid, dysentery, and cholera occupies 20–40% of the beds in the hospital and become a cause of one-third of all mortalities in Pakistan (Farooq et al. 2008; Azizullah et al. 2011). Drinking water contaminated with heavy metals can affect vital human organs like the liver, kidney, and central nervous system (Khan et al. 2011). The surface and groundwater quality is polluted by microbial and a variety of toxic chemicals (Azizullah et al. 2011). The underground lithological environment is the principal influencing factor of contaminant migration to groundwater (Rahman 2008). The research study is conducted along the Nalla Lai which is a perennial wastewater stream containing both domestic and industrial effluents. It is an open sewer of twin cities (Rawalpindi and Islamabad). The study has been conducted by keeping the given prime objective to evaluate the impact of the Nalla wastewater stream on groundwater quality in its proximity.

Description of the study area

Rawalpindi is a city in Punjab province and it is located near the capital city of Islamabad. The population of the city is 2.09 million with an area of 259 km2 (Atta et al. 2020). The latitude of Rawalpindi city is 33.5984°N and the longitude of the city is 73.0441°E (Shahid et al. 2019). Due to rapid urbanization, the city is facing extreme environmental conditions (Mehmood et al. 2019). Five different seasons are experienced by Rawalpindi city such as winter, summer, spring, autumn, and monsoon. June is the hottest month and January is the coldest month in Rawalpindi city with the highest and lowest recorded temperatures of 48 and −3.9 °C (Asghar et al. 2012; Khan et al. 2019). Water pollution, inappropriate sanitation facilities, and solid waste dumping are the most significant environmental problems in the city (Nisar et al. 2008). Energy-efficient buildings, urbanization impact on groundwater, and seismic mapping are the relevant issues in the city (Maqsoom et al. 2021).

Preliminary visit and sampling plan

A previsit of the research area was carried out to delineate the sampling boundary of the research area and to select the sampling point's location by using the Global Positioning System (GPS) from IJP road to Soan River. A weekly sampling plan was prepared for the effective implementation of the sampling strategy. The sampling plan includes the preparation of a list of pre-selected sampling points location, requisition or hiring of transportation, selection of sampling day and time, cleaning of water sampling bottles, preparation of preservative, Icebox, personal protective equipment (PPE), first aid box, DO meter, pH meter, TDS meter, notebook, permanent marker, ballpoint pen, and checklist.

Sample collection

To characterize the wastewater and groundwater quality of the research area, the samples were collected by following the internationally recognized sampling procedure ‘Standard Methods for the Examination of Water and Wastewater’ (APHA 2012). Water sampling of the study area was divided into two types:

  • I.

    Groundwater sampling

  • II.

    Wastewater sampling

  • I.

    Groundwater sampling

Groundwater samples were collected by using the grab sampling technique (Kamble 2015). Forty-nine groundwater samples were collected in pre-sterilized polypropylene bottles. Before sterilization, the bottles were properly washed with water (hot) and detergents followed by thrice rinsing with distilled water. The samples were collected from both source and consumer levels in September 2016 at least 1 week after rainfall. Thirty-six groundwater samples were collected from the proximity of Nalla Lai. Thirteen control samples were taken from at least a 1 km distance from both sites of Nalla Lai.

The water samples of (17) tube wells, (29) boreholes, (1) dug well, and (2) springs were collected from different inhabitant colonies of the study area. A 1,000 ml (1 L) sampling bottle was used to collect a water sample from each sampling point for the detection of non-metals. Similarly, a 500 ml sampling bottle was used to collect a water sample from the same point to analyze heavy metals and added preservatives of nitric acid (−HNO3) to bring the water sample to pH <2. The sampling bottles were properly tagged or labeled with sampling type, sample number, date, time/hour, location, and source.

  • II. Wastewater sampling

Wastewater samples of Nalla Lai were collected by using a composite sampling technique (Raashid & Hussain 2014). The wastewater sampling of Nalla Lai was collected in October 2016. Wastewater samples were collected in pre-sterilized polypropylene bottles properly washed with hot tap water followed by detergent, water reagent, and then thrice rinsed with distilled water. A total of 19 wastewater samples of Nalla Lai were collected from various distances. Sample (1) and sample (2) were collected from wastewater streams passing through the I-9 and I-10 Industrial sectors of Islamabad, whereas sample (3) was collected from a junction point of 1-9 and I-10 industrial wastewater streams at the point of Kataria Bridge and the remaining 15 samples were collected from various distances along with Nalla Lai till Soan River. A 1,000 ml (1 L) wastewater sampling container was used to collect samples from each sampling point to detect non-metals. Likewise, a 500 ml sampling container was used to collect wastewater from the same point to analyze heavy metals and added preservatives of nitric acid (−HNO3) to bring the pH of the wastewater sample, i.e. less than 2 pH. The sampling bottles were properly labeled with sampling type, sample number, date, time/hour, location, and source (Figure 1).
Figure 1

GIS map of sampling points location along with Nalla Lai (study area).

Figure 1

GIS map of sampling points location along with Nalla Lai (study area).

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Analytical procedure

  • I.

    In situ analysis

In situ water testing of parameters like pH (pH scale), temperature (°C), DO (mg L−1), EC (μS/cm), and TDS (mg L−1) were determined by pH meter, thermometer, DO meter, and TDS meter, respectively, and followed the ‘Standard Methods for the Examination of Water and Wastewater’ (APHA 2012).

  • II. Detection of E. coli in groundwater

Microbial samples of groundwater were collected by using the grab sampling technique (Tahir et al. 2011). A total of 36 samples were collected in October 2016 from the study area for bacteriological tests. A 50 ml water sample in a sterile container was taken for the qualitative analysis of drinking water quality by using water check kits of ‘Merck company’. First, the blister pack was placed in a sterile container with care and shook well to dissolve the granules and not touch the inner part of the container. Enough air space was left in the sampling container and the cap firmly screwed on. The container was placed at room temperature for 48 h. The color changed to blue and green showing bacterial contamination and the samples having yellow, off-white, and brownish or no change in color represented that water was fit for drinking purposes.

  • III. Physicochemical analysis

The analysis of physicochemical parameters was performed by shifting the water samples to CLEAN laboratory Pak-EPA and left in a refrigerator at 4 °C to preserve the integrity of the samples. The analysis of chemical parameters of both groundwater and wastewater samples was performed by using the instrument mentioned in Table 1.

  • IV. Data analysis

The statistical analysis and interpolation maps of wastewater and groundwater high vulnerable localities were performed by using Microsoft Excel Environment, XLSTAT, and GIS tools.

Table 1

Parameters with respective abbreviations units, holding time, preservatives, and analytical methods

ParametersAbbreviationsUnitsHolding timePreservativesAnalytical Methods/Instruments
Potential Hydrogen pH  In situ None pH Meter 
Temperature Temp °C In situ None Thermometer 
Turbidity TU NTU 4 h None Water Analyzer 
Color Col TCU 4 h None Water Analyzer 
Dissolved Oxygen DO mg L−1 In situ None DO Meter 
Electric Conductivity EC μS/cm In situ None TDS Meter 
Total Dissolved Solids TDS mg L−1 In situ None TDS Meter 
Sulfate mg L−1 4 days 4 °C UV/Visible Spectrometer 
Chloride Cl mg L−1 4 days 4 °C APHA (2012), 22nd edition, part 4500 Cl 
Hardness Ha mg L−1 5 days 4 °C APHA (2012), 22nd edition, part 2340 
Cadmium Cd mg L−1 30 days HNO3, pH < 2 (AAS) Model: A ANALYST 800 
Copper Cu mg L−1 31 days HNO3, pH < 2 (AAS) Model: A ANALYST 800 
Iron Fe mg L−1 32 days HNO3, pH < 2 (AAS) Model: A ANALYST 800 
Manganese Mn mg L−1 33 days HNO3, pH < 2 (AAS) Model: A ANALYST 800 
Lead Pb mg L−1 34 days HNO3, pH < 2 (AAS) Model: A ANALYST 800 
Zinc Zn mg L−1 35 days HNO3, pH < 2 (AAS) Model: A ANALYST 800 
ParametersAbbreviationsUnitsHolding timePreservativesAnalytical Methods/Instruments
Potential Hydrogen pH  In situ None pH Meter 
Temperature Temp °C In situ None Thermometer 
Turbidity TU NTU 4 h None Water Analyzer 
Color Col TCU 4 h None Water Analyzer 
Dissolved Oxygen DO mg L−1 In situ None DO Meter 
Electric Conductivity EC μS/cm In situ None TDS Meter 
Total Dissolved Solids TDS mg L−1 In situ None TDS Meter 
Sulfate mg L−1 4 days 4 °C UV/Visible Spectrometer 
Chloride Cl mg L−1 4 days 4 °C APHA (2012), 22nd edition, part 4500 Cl 
Hardness Ha mg L−1 5 days 4 °C APHA (2012), 22nd edition, part 2340 
Cadmium Cd mg L−1 30 days HNO3, pH < 2 (AAS) Model: A ANALYST 800 
Copper Cu mg L−1 31 days HNO3, pH < 2 (AAS) Model: A ANALYST 800 
Iron Fe mg L−1 32 days HNO3, pH < 2 (AAS) Model: A ANALYST 800 
Manganese Mn mg L−1 33 days HNO3, pH < 2 (AAS) Model: A ANALYST 800 
Lead Pb mg L−1 34 days HNO3, pH < 2 (AAS) Model: A ANALYST 800 
Zinc Zn mg L−1 35 days HNO3, pH < 2 (AAS) Model: A ANALYST 800 

The results of many analyzed samples of wastewater of Nalla Lai were beyond the standard value of NEQs, 1997. Iron was detected elevated from the recommended value in three wastewater samples, and cadmium value was higher in five wastewater samples. BOD (biological oxygen demand) results of all wastewater samples and COD (chemical oxygen demand) values of 13 samples were elevated from the standard values of NEQs, 1997. Maximum contamination was observed in the groundwater samples which were collected from the proximity of Nalla Lai. Out of the total of 49 groundwater samples, 36 groundwater samples were collected from the proximity of Nalla Lai. The analyzed results showed that iron concentration was elevated from the recommended limit value in 10 groundwater samples, cadmium was higher in five groundwater samples, manganese was detected in elevation concentration in four groundwater samples, zinc and TDS were beyond the standard limit in one groundwater sample, pH value was very low in three groundwater samples, the color value was high in one groundwater sample, hardness concentration was beyond the recommended value in 30 groundwater samples, and microbial contamination of fecal coliform was detected in 30 groundwater samples.

pH

pH stands for potential hydrogen. It determines the concentration of hydrogen ions in a solution. pH specifies the acidity and basicity of water. pH values ranging from 7 to 14 are alkaline or basic. pH values from 0 to 6 are acidic whereas 7 pH is neutral (Dohare et al. 2014). As stated by Dohare et al. (2014), both acidity and basicity are specified by the pH values. The NSDWQ, 2010 (National Environmental Quality Standards, 2010) range value of pH in drinking water is 6.5–8.5 and NEQs, 1997 (National Environmental Quality Standards, 1997) range value for pH in wastewater is 6–10.

The average pH value in groundwater and wastewater samples was 7.35 and 7.8. The range values of pH in groundwater samples was 6.39–8.3, whereas the pH values in wastewater samples were in the range of 7.43–8.55, respectively. The descriptive statistics of pH in wastewater and groundwater samples are shown in Tables 2 and 3. The highest and lowest pH location points of groundwater samples are highlighted in Figure 2. The pH value in all the samples of groundwater was within the recommended range of 6.5–8.5 except for the three bore water samples where the pH value was detected below 6.5 in the analyzed results. The pH value in all wastewater samples was below the recommended limit of NEQs, 1997. pH results of all the wastewater and groundwater samples are mentioned in Tables 4 and 5. The analyzed results were comparatively similar to the work conducted by Nasrullah et al. (2006) when evaluating the impact of industrial wastewater on the groundwater chemistry of Swabi, Pakistan.
Table 2

Descriptive statistics of wastewater samples of the study area (n = 19)

VariablesUnitMaximumMinimumAverage
pH  8.55 7.43 7.8 
Temp °C 30 22 27.58 
Turbidity NTU 4,610.20 1,940.24 3,257.27 
DO mg L−1 2.80 0.20 1.06 
EC μS/cm 1,529 1,232 1,378.26 
SO4 mg L−1 30.10 21.70 24.32 
Cl mg L−1 79.6 7.6 55.55 
Cd mg L−1 0.3 0.006 0.09 
Cu mg L−1 0.204 0.012 0.08 
Fe mg L−1 4.48 0.12 1.09 
Mn mg L−1 1.48 0.15 0.35 
Pb mg L−1 0.268 0.008 0.10 
Zn mg L−1 4.20 0.05 0.68 
BOD mg L−1 194 87 120.21 
COD mg L−1 315 168 240.15 
VariablesUnitMaximumMinimumAverage
pH  8.55 7.43 7.8 
Temp °C 30 22 27.58 
Turbidity NTU 4,610.20 1,940.24 3,257.27 
DO mg L−1 2.80 0.20 1.06 
EC μS/cm 1,529 1,232 1,378.26 
SO4 mg L−1 30.10 21.70 24.32 
Cl mg L−1 79.6 7.6 55.55 
Cd mg L−1 0.3 0.006 0.09 
Cu mg L−1 0.204 0.012 0.08 
Fe mg L−1 4.48 0.12 1.09 
Mn mg L−1 1.48 0.15 0.35 
Pb mg L−1 0.268 0.008 0.10 
Zn mg L−1 4.20 0.05 0.68 
BOD mg L−1 194 87 120.21 
COD mg L−1 315 168 240.15 
Table 3

Descriptive statistics of groundwater samples of the study area (n = 49)

VariablesUnitMaximumMinimumAverage
pH  8.3 6.39 7.35 
Temp °C 28 21 23.27 
TU NTU 
Color TCU 17.89 3.66 5.83 
DO mg L−1 8.4 3.28 5.58 
EC μS/cm 1,408 222 616.83 
TDS mg L−1 1,138 201 484.24 
SO4 mg L−1 100.2 14.1 28.2 
Cl mg L−1 107 7.6 27.7 
Ha mg L−1 1,564 124 709 
Cd mg L−1 0.036 0.005 0.01 
Cu mg L−1 0.139 0.038 0.09 
Fe mg L−1 4.76 0.101 1.23 
Mn mg L−1 0.85 0.04 0.25 
Pb mg L−1 0.04 0.002 0.02 
Zn mg L−1 6.2 0.01 1.06 
VariablesUnitMaximumMinimumAverage
pH  8.3 6.39 7.35 
Temp °C 28 21 23.27 
TU NTU 
Color TCU 17.89 3.66 5.83 
DO mg L−1 8.4 3.28 5.58 
EC μS/cm 1,408 222 616.83 
TDS mg L−1 1,138 201 484.24 
SO4 mg L−1 100.2 14.1 28.2 
Cl mg L−1 107 7.6 27.7 
Ha mg L−1 1,564 124 709 
Cd mg L−1 0.036 0.005 0.01 
Cu mg L−1 0.139 0.038 0.09 
Fe mg L−1 4.76 0.101 1.23 
Mn mg L−1 0.85 0.04 0.25 
Pb mg L−1 0.04 0.002 0.02 
Zn mg L−1 6.2 0.01 1.06 
Table 4

Physicochemical results of wastewater parameters of Nalla Lai (n = 19)

S. NopHTempTurbidityDOECSO4ClCdCuFeMnPbZnBODCOD
7.44 22 4,610.20 0.94 1,271 21.9 60 0.3 0.204 4.479 1.483 0.012 1.046 168 296 
7.66 26 2,725 2.05 1,277 22.76 55.6 0.22 BDL 1.212 0.15 0.182 2.046 130 168 
7.43 27 3,113 1.03 1,365 21.70 55.6 0.016 BDL 3.134 0.176 BDL 0.066 112 243 
7.71 28 3,689 0.33 1,396 24.2 54.18 BDL 0.161 0.392 0.161 BDL 0.076 121 276 
7.48 26 1,940.24 0.74 1,529 23.3 46.62 BDL 0.012 BDL 0.189 0.021 2.214 97 229 
7.67 27 3,635.84 0.20 1,492 22.22 57.28 BDL 0.016 BDL 0.161 BDL 0.048 194 315 
8.55 26 3,645.65 1.24 1,510 23.12 55.06 BDL BDL 0.149 0.49 BDL 0.061 161 311 
7.78 28 3,459.74 1.25 1,232 23.6 57.4 0.12 BDL BDL 0.251 BDL 0.071 168 312 
7.75 29 2,313.49 0.26 1,342 23.05 49.4 BDL BDL 0.186 0.215 BDL 0.063 121 291 
10 7.91 29 2,111.69 1.04 1,349 25.9 46.62 0.159 0.013 0.125 0.315 BDL 0.057 100 175 
11 8.21 28 2,543 1.65 1,367 27.6 47.06 0.095 BDL 0.121 0.188 BDL 0.213 96 222 
12 7.79 29 3,130 0.63 1,272 22.9 46.62 0.007 BDL 0.315 0.212 0.268 4.201 100 219 
13 7.69 29 3,343.74 0.35 1,395 25.02 61.4 0.02 BDL BDL 0.312 BDL 0.059 96 228 
14 7.78 28 2,981.84 0.81 1,390 24.3 7.6 0.006 0.091 BDL 0.612 BDL 0.129 95 196 
15 8.12 29 3,399 1.14 1,397 26.3 61.72 0.015 BDL 0.357 0.215 0.008 0.059 100 168 
16 7.69 28 4,215.73 0.69 1,327 24.52 66.16 BDL 0.013 2.173 0.61 BDL 0.12 91 221 
17 7.62 27 3,386 0.26 1,430 24.23 75.06 0.143 BDL 1.635 0.219 BDL 0.204 149 272 
18 7.92 28 4,155 2.80 1,372 25.34 79.6 0.012 BDL 0.822 0.237 BDL 2.213 98 176 
19 7.95 30 3,490 2.67 1,474 30.10 72.4 0.015 BDL 0.118 0.521 BDL 0.064 87 170 
S. NopHTempTurbidityDOECSO4ClCdCuFeMnPbZnBODCOD
7.44 22 4,610.20 0.94 1,271 21.9 60 0.3 0.204 4.479 1.483 0.012 1.046 168 296 
7.66 26 2,725 2.05 1,277 22.76 55.6 0.22 BDL 1.212 0.15 0.182 2.046 130 168 
7.43 27 3,113 1.03 1,365 21.70 55.6 0.016 BDL 3.134 0.176 BDL 0.066 112 243 
7.71 28 3,689 0.33 1,396 24.2 54.18 BDL 0.161 0.392 0.161 BDL 0.076 121 276 
7.48 26 1,940.24 0.74 1,529 23.3 46.62 BDL 0.012 BDL 0.189 0.021 2.214 97 229 
7.67 27 3,635.84 0.20 1,492 22.22 57.28 BDL 0.016 BDL 0.161 BDL 0.048 194 315 
8.55 26 3,645.65 1.24 1,510 23.12 55.06 BDL BDL 0.149 0.49 BDL 0.061 161 311 
7.78 28 3,459.74 1.25 1,232 23.6 57.4 0.12 BDL BDL 0.251 BDL 0.071 168 312 
7.75 29 2,313.49 0.26 1,342 23.05 49.4 BDL BDL 0.186 0.215 BDL 0.063 121 291 
10 7.91 29 2,111.69 1.04 1,349 25.9 46.62 0.159 0.013 0.125 0.315 BDL 0.057 100 175 
11 8.21 28 2,543 1.65 1,367 27.6 47.06 0.095 BDL 0.121 0.188 BDL 0.213 96 222 
12 7.79 29 3,130 0.63 1,272 22.9 46.62 0.007 BDL 0.315 0.212 0.268 4.201 100 219 
13 7.69 29 3,343.74 0.35 1,395 25.02 61.4 0.02 BDL BDL 0.312 BDL 0.059 96 228 
14 7.78 28 2,981.84 0.81 1,390 24.3 7.6 0.006 0.091 BDL 0.612 BDL 0.129 95 196 
15 8.12 29 3,399 1.14 1,397 26.3 61.72 0.015 BDL 0.357 0.215 0.008 0.059 100 168 
16 7.69 28 4,215.73 0.69 1,327 24.52 66.16 BDL 0.013 2.173 0.61 BDL 0.12 91 221 
17 7.62 27 3,386 0.26 1,430 24.23 75.06 0.143 BDL 1.635 0.219 BDL 0.204 149 272 
18 7.92 28 4,155 2.80 1,372 25.34 79.6 0.012 BDL 0.822 0.237 BDL 2.213 98 176 
19 7.95 30 3,490 2.67 1,474 30.10 72.4 0.015 BDL 0.118 0.521 BDL 0.064 87 170 
Table 5

Physicochemical and microbial results of groundwater of the study area (n = 49)

S. NopHTempTUColorDOECTDSSO4ClHaCdCuFeMnPbZnE. coli
7.25 22 4.4 5.7 356 291 24.14 12.7 616 BDL 0.11 0.26 0.038 0.003 0.52 −ve 
6.39 24 10.04 3.28 1,121 958 36.7 13.3 1,065 0.028 0.139 4.757 0.685 0.002 2.26 −ve 
7.34 24 3.66 5.83 323 267 18.34 11.32 616 BDL BDL BDL 0.036 BDL BDL −ve 
7.45 24 4.79 5.64 302 254 26.11 9.1 552 BDL BDL 0.219 BDL BDL BDL −ve 
7.35 25 4.62 4.58 619 498 45 23.5 536 BDL BDL 0.101 BDL BDL BDL −ve 
7.41 23 5.06 6.48 772 584 41.33 49.7 1,121 BDL BDL BDL BDL BDL 0.18 −ve 
7.59 21 4.39 8.4 405 319 37.18 21.1 596 BDL BDL BDL BDL 0.004 0.131 −ve 
7.23 22 4.72 5.8 407 322 46.24 19 656 BDL BDL BDL BDL BDL BDL −ve 
7.65 21 4.11 5.87 433 293 21.4 13.1 372 BDL BDL BDL BDL BDL 0.096 −ve 
10 7.29 25 5.7 6.2 540 449 29.1 14 568 0.005 BDL 0.529 BDL BDL 2.476 −ve 
11 7.47 21 7.73 5.36 289 229 18.9 8.21 332 BDL BDL 0.345 BDL BDL BDL −ve 
12 8.19 24 5.86 6.68 1,380 996 100.2 64.4 1,528 0.009 BDL 1.512 BDL BDL 0.089 +ve 
13 7.22 22 10.24 6.19 1,408 1,138 59.64 107 1,122 0.005 0.038 BDL BDL 0.038 BDL −ve 
14 8.3 22 5.91 5.9 637 595 22.6 17.1 1,076 BDL BDL BDL 0.344 BDL 0.093 −ve 
15 6.41 27 4.84 3.85 1,019 844 28 22.7 896 BDL BDL BDL BDL BDL BDL −ve 
16 7.3 21 5.17 5.46 446 358 34 19.32 564 0.021 BDL BDL BDL BDL 0.014 −ve 
17 7.65 23 5.78 4.39 722 419 20.1 12.21 124 0.007 BDL 0.786 BDL BDL 0.23 +ve 
18 7.7 22 4.74 6.93 442 360 14.7 25.1 556 0.009 BDL 0.134 BDL BDL 0.404 −ve 
19 7.35 22 4.63 5.61 731 551 16.8 17.32 976 BDL BDL 0.396 BDL BDL 0.071 −ve 
20 6.86 26 6.22 3.73 549 451 22.2 29.1 604 BDL BDL BDL BDL BDL 0.092 −ve 
21 7.25 21 4.96 5.46 905 691 44.34 28.2 1,144 BDL BDL BDL 0.162 BDL 2.413 −ve 
22 6.59 25 4.45 783 609 15.7 10.9 776 0.005 BDL 2.914 0.412 BDL 0.121 −ve 
23 7.35 22 5.39 6.33 549 439 24.45 20.43 656 0.018 BDL BDL 0.189 0.04 0.09 −ve 
24 7.41 23 4.5 5.25 794 581 30.41 37.53 1,064 BDL BDL BDL 0.218 BDL BDL −ve 
25 7.07 24 4.94 5.88 566 464 29.91 28 776 BDL BDL BDL BDL BDL 0.386  
26 7.28 25 5.13 6.41 1,173 885 37.84 74.61 1,564 BDL BDL BDL BDL BDL 0.095 −ve 
27 7.40 22 4.99 6.15 375 301 20.42 10.7 520 BDL BDL BDL 0.091 BDL BDL  
28 7.32 22 17.89 4.4 894 719 21.54 77.72 928 0.012 BDL 1.965 0.853 BDL 0.015 −ve 
29 7.25 22 6.11 5.89 907 485 31.4 36.64 680 0.009 BDL BDL 0.321 BDL 5.108  
30 7.68 24 5.75 5.35 222 201 14.5 7.6 384 BDL BDL BDL 0.085 BDL 3.95  
31 7.61 25 5.77 6.71 306 346 19.63 13.8 372 BDL BDL BDL 0.418 BDL BDL −ve 
32 7.16 28 5.18 4.36 762 611 28.65 59.73 1,132 BDL BDL 1.249 0.195 BDL BDL −ve 
33 7.48 23 6.16 5.63 593 482 17.9 34.64 724 0.019 BDL BDL 0.131 BDL 1.821 −ve 
34 7.53 22 6.4 5.16 494 325 33.17 12 720 BDL BDL BDL 0.629 BDL 2.981 +ve 
35 6.45 26 7.45 4.09 868 691 38.31 34.2 1,044 0.009 BDL 2.933 0.512 BDL 1.251 −ve 
36 7.53 25 5.39 6.56 472 383 25.6 17.54 480 BDL  BDL BDL 0.091 BDL BDL  
37 7.54 24 5.63 6.34 332 272 23.9 12.21 452 BDL BDL BDL 0.089 BDL 0.018 +ve 
38 7.48 23 5.36 5.23 445 366 20.4 18.7 464 BDL BDL BDL 0.091 BDL BDL  
39 7.76 22 4.74 6.43 376 391 17.44 13.1 564 BDL BDL BDL 0.082 BDL 1.036  
40 7.47 25 5.94 5.31 387 301 18.09 10 480 0.016 BDL BDL 0.149 BDL 0.785 +ve 
41 7.64 21 6.56 6.08 473 288 14.21 8.43 524 0.021 BDL BDL 0.164 BDL 0.25  
42 7.52 23 4.9 5.75 468 392 21.36 28 412 0.023 BDL BDL 0.301 BDL 0.018  
43 7.29 24 5.26 5.15 327 375 15.07 10.7 628 0.036 BDL BDL 0.12 0.025 1.337  
44 7.44 22 4.9 6.78 462 378 20.37 19.32 408 0.008 BDL BDL 0.104 BDL 0.041 −ve 
45 7.26 22 8.17 4.53 701 597 25.52 50 448 0.009 BDL 0.316 0.569 BDL 3.242  
46 7.49 24 5.31 5.49 524 435 32.19 24.2 576 0.007 BDL BDL 0.098 BDL 0.051 −ve 
47 7.19 23 4.43 5.17 705 503 37.17 36.2 844 0.021 BDL BDL 0.161 BDL 0.01 +ve 
48 7.12 23 5.21 5.75 653 535 27.86 43.74 788 BDL BDL BDL 0.17 BDL 6.195  
49 7.13 24 5.81 5.56 807 506 17.7 68.17 732 BDL BDL BDL 0.269 BDL 0.2  
S. NopHTempTUColorDOECTDSSO4ClHaCdCuFeMnPbZnE. coli
7.25 22 4.4 5.7 356 291 24.14 12.7 616 BDL 0.11 0.26 0.038 0.003 0.52 −ve 
6.39 24 10.04 3.28 1,121 958 36.7 13.3 1,065 0.028 0.139 4.757 0.685 0.002 2.26 −ve 
7.34 24 3.66 5.83 323 267 18.34 11.32 616 BDL BDL BDL 0.036 BDL BDL −ve 
7.45 24 4.79 5.64 302 254 26.11 9.1 552 BDL BDL 0.219 BDL BDL BDL −ve 
7.35 25 4.62 4.58 619 498 45 23.5 536 BDL BDL 0.101 BDL BDL BDL −ve 
7.41 23 5.06 6.48 772 584 41.33 49.7 1,121 BDL BDL BDL BDL BDL 0.18 −ve 
7.59 21 4.39 8.4 405 319 37.18 21.1 596 BDL BDL BDL BDL 0.004 0.131 −ve 
7.23 22 4.72 5.8 407 322 46.24 19 656 BDL BDL BDL BDL BDL BDL −ve 
7.65 21 4.11 5.87 433 293 21.4 13.1 372 BDL BDL BDL BDL BDL 0.096 −ve 
10 7.29 25 5.7 6.2 540 449 29.1 14 568 0.005 BDL 0.529 BDL BDL 2.476 −ve 
11 7.47 21 7.73 5.36 289 229 18.9 8.21 332 BDL BDL 0.345 BDL BDL BDL −ve 
12 8.19 24 5.86 6.68 1,380 996 100.2 64.4 1,528 0.009 BDL 1.512 BDL BDL 0.089 +ve 
13 7.22 22 10.24 6.19 1,408 1,138 59.64 107 1,122 0.005 0.038 BDL BDL 0.038 BDL −ve 
14 8.3 22 5.91 5.9 637 595 22.6 17.1 1,076 BDL BDL BDL 0.344 BDL 0.093 −ve 
15 6.41 27 4.84 3.85 1,019 844 28 22.7 896 BDL BDL BDL BDL BDL BDL −ve 
16 7.3 21 5.17 5.46 446 358 34 19.32 564 0.021 BDL BDL BDL BDL 0.014 −ve 
17 7.65 23 5.78 4.39 722 419 20.1 12.21 124 0.007 BDL 0.786 BDL BDL 0.23 +ve 
18 7.7 22 4.74 6.93 442 360 14.7 25.1 556 0.009 BDL 0.134 BDL BDL 0.404 −ve 
19 7.35 22 4.63 5.61 731 551 16.8 17.32 976 BDL BDL 0.396 BDL BDL 0.071 −ve 
20 6.86 26 6.22 3.73 549 451 22.2 29.1 604 BDL BDL BDL BDL BDL 0.092 −ve 
21 7.25 21 4.96 5.46 905 691 44.34 28.2 1,144 BDL BDL BDL 0.162 BDL 2.413 −ve 
22 6.59 25 4.45 783 609 15.7 10.9 776 0.005 BDL 2.914 0.412 BDL 0.121 −ve 
23 7.35 22 5.39 6.33 549 439 24.45 20.43 656 0.018 BDL BDL 0.189 0.04 0.09 −ve 
24 7.41 23 4.5 5.25 794 581 30.41 37.53 1,064 BDL BDL BDL 0.218 BDL BDL −ve 
25 7.07 24 4.94 5.88 566 464 29.91 28 776 BDL BDL BDL BDL BDL 0.386  
26 7.28 25 5.13 6.41 1,173 885 37.84 74.61 1,564 BDL BDL BDL BDL BDL 0.095 −ve 
27 7.40 22 4.99 6.15 375 301 20.42 10.7 520 BDL BDL BDL 0.091 BDL BDL  
28 7.32 22 17.89 4.4 894 719 21.54 77.72 928 0.012 BDL 1.965 0.853 BDL 0.015 −ve 
29 7.25 22 6.11 5.89 907 485 31.4 36.64 680 0.009 BDL BDL 0.321 BDL 5.108  
30 7.68 24 5.75 5.35 222 201 14.5 7.6 384 BDL BDL BDL 0.085 BDL 3.95  
31 7.61 25 5.77 6.71 306 346 19.63 13.8 372 BDL BDL BDL 0.418 BDL BDL −ve 
32 7.16 28 5.18 4.36 762 611 28.65 59.73 1,132 BDL BDL 1.249 0.195 BDL BDL −ve 
33 7.48 23 6.16 5.63 593 482 17.9 34.64 724 0.019 BDL BDL 0.131 BDL 1.821 −ve 
34 7.53 22 6.4 5.16 494 325 33.17 12 720 BDL BDL BDL 0.629 BDL 2.981 +ve 
35 6.45 26 7.45 4.09 868 691 38.31 34.2 1,044 0.009 BDL 2.933 0.512 BDL 1.251 −ve 
36 7.53 25 5.39 6.56 472 383 25.6 17.54 480 BDL  BDL BDL 0.091 BDL BDL  
37 7.54 24 5.63 6.34 332 272 23.9 12.21 452 BDL BDL BDL 0.089 BDL 0.018 +ve 
38 7.48 23 5.36 5.23 445 366 20.4 18.7 464 BDL BDL BDL 0.091 BDL BDL  
39 7.76 22 4.74 6.43 376 391 17.44 13.1 564 BDL BDL BDL 0.082 BDL 1.036  
40 7.47 25 5.94 5.31 387 301 18.09 10 480 0.016 BDL BDL 0.149 BDL 0.785 +ve 
41 7.64 21 6.56 6.08 473 288 14.21 8.43 524 0.021 BDL BDL 0.164 BDL 0.25  
42 7.52 23 4.9 5.75 468 392 21.36 28 412 0.023 BDL BDL 0.301 BDL 0.018  
43 7.29 24 5.26 5.15 327 375 15.07 10.7 628 0.036 BDL BDL 0.12 0.025 1.337  
44 7.44 22 4.9 6.78 462 378 20.37 19.32 408 0.008 BDL BDL 0.104 BDL 0.041 −ve 
45 7.26 22 8.17 4.53 701 597 25.52 50 448 0.009 BDL 0.316 0.569 BDL 3.242  
46 7.49 24 5.31 5.49 524 435 32.19 24.2 576 0.007 BDL BDL 0.098 BDL 0.051 −ve 
47 7.19 23 4.43 5.17 705 503 37.17 36.2 844 0.021 BDL BDL 0.161 BDL 0.01 +ve 
48 7.12 23 5.21 5.75 653 535 27.86 43.74 788 BDL BDL BDL 0.17 BDL 6.195  
49 7.13 24 5.81 5.56 807 506 17.7 68.17 732 BDL BDL BDL 0.269 BDL 0.2  

−ve, E. coli is detected in the analyzed water sample.

+ve, E. coli is not detected in the analyzed water sample.

Figure 2

Interpolation map showing highest and lowest pH location points of groundwater.

Figure 2

Interpolation map showing highest and lowest pH location points of groundwater.

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Temperature

As reported by Ahmed et al. (2013), temperature plays a key role to detect microbial contamination and it has a significant role in the survival of aquatic life (Akbari et al. 2017). The NEQs, 1997 standard value of temperature in wastewater is 40 °C.

The average temperature value in groundwater and wastewater samples was 23.27 and 27.58 °C. The range value of temperature in groundwater samples was 21–28 °C, whereas temperature values in wastewater samples were in the range of 22–30 °C, respectively. The descriptive statistics of temperature in wastewater and groundwater samples are shown in Tables 2 and 3. The highest and lowest temperature location points of groundwater samples are highlighted in Figure 3. The analyzed results of temperature in all wastewater samples were detected below the standard limit value of NEQs, 1997. Low temperature is not favorable for the growth of thermotolerant coliform (E. coli) bacteria. Temperature values of all the wastewater and groundwater samples are mentioned in Tables 4 and 5. The wastewater temperature of Nalla Lai almost resembled the ambient air temperature. According to the scientific study conducted by Nicholson et al. (2016), air temperature has a significant effect on surface water of low velocity but a minor effect on groundwater. The increased temperature in the summer season gives a favorable environment for fecal coliform (E. coli) to grow in the wastewater stream which finally contaminates the groundwater quality by the action of percolation.
Figure 3

Interpolation map showing highest and lowest temperature location points of groundwater.

Figure 3

Interpolation map showing highest and lowest temperature location points of groundwater.

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Turbidity

Turbidity in water is the cloudiness that happens due to pollutants such as silt, wood ash, coal, chemicals, colloidal dispersions, and microorganisms (Srivastava & Pandey 2012; Akhtar et al. 2014). According to WHO and NSDWQ, 2010, the standard value of turbidity in drinking water is <5 NTU.

Turbidity was detected at zero in all groundwater samples. In wastewater samples, the average turbidity value was 3,257.27 NTU. The turbidity values in wastewater samples of Nalla Lai were in the range of 1,940.24–4,610.20 NTU. The descriptive statistics of turbidity in wastewater and groundwater samples are shown in Tables 2 and 3. Turbidity values of all the groundwater and wastewater samples are mentioned in Tables 4 and 5. The analyzed wastewater samples of Nalla Lai showed that turbidity value was very high in sample number 1 which was collected from the wastewater stream carrying industrial wastewater of sector I-9, Islamabad and finally merged with the main wastewater stream of Nalla. The analyzed results resembled the work done by Tariq et al. (2006) on groundwater contamination due to the discharge of wastewater from the industrial locality in Hayatabad, Peshawar. Because of the high load of organic matter and various kinds of effluents, very high turbidity was observed in the wastewater of Nalla Lai. The elevated level of turbidity ultimately decreases the dissolved oxygen level in the water stream. Aquatic life cannot survive in such an environment.

Color

According to Tiwari (2015), color of the water is very important for domestic and industrial uses and they generally prefer colorless water. The WHO standard value of color in drinking water is <15 TCU.

The average color value in groundwater samples was 5.83 TCU. Color values in groundwater samples were in a range of 3.66–17.89 TCU. The descriptive statistics of color in groundwater samples are shown in Table 3. The highest and lowest location points of color in groundwater samples are highlighted in Figure 4. Color values of all the groundwater samples are mentioned in Table 5. Color values of all the groundwater samples were below the recommended limit except sample number 28 which was dug well water. Sample 28 was located less than a hundred meters distance from the proximity of the wastewater stream (Nalla Lai). The elevated color value in this sample shows different dissolved chemicals and it also represents the percolation of wastewater pollutants from Nalla Lai into dug well water. Water quality in this location is not safe for drinking purposes because it also contains trace metals in high concentrations along with an elevated level of hardness and bacterial contamination. Drinking water in this locality can cause adverse health impacts.
Figure 4

Interpolation map showing highest and lowest color location points of groundwater.

Figure 4

Interpolation map showing highest and lowest color location points of groundwater.

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Dissolved oxygen

Dissolved oxygen is an important marker to judge the quality of water (Subramani et al. 2005). It represents the physical and biological processes occurring in the aquatic environment. DO concentration is the indicator of pollution level in the water. It is the dissolved concentration of gaseous oxygen in water (Prajapati & Dwivedi 2016).

The groundwater and wastewater samples have average DO values of 5.58 and 1.06 mg L−1. The range value of DO in groundwater samples was 3.28–8.4 mg L−1, whereas DO values in wastewater samples were in the range of 0.20–2.80 mg L−1, respectively. The descriptive statistics of DO in wastewater and groundwater samples are shown in Tables 2 and 3. The highest and lowest DO location points of groundwater samples are highlighted in Figure 5. DO values of all the wastewater and groundwater samples are mentioned in Tables 4 and 5. Due to the elevated level of pollutants in the wastewater of Nalla Lai, the dissolved concentration of oxygen was low in the analyzed results.
Figure 5

Interpolation map showing highest and lowest DO location points of groundwater.

Figure 5

Interpolation map showing highest and lowest DO location points of groundwater.

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Electric conductivity

Electric conductivity (EC) is the capability to pass an electric current. EC in water estimates the amount of TDS or ions (Pal et al. 2015).

The average EC value in groundwater and wastewater samples was 616.83 and 1,378.26 μS/cm. The range value of EC in groundwater samples was 222–1,408 μS/cm, whereas EC level in wastewater samples was in the range of 1,232–1,529 μS/cm, respectively. The descriptive statistics of EC in wastewater and groundwater samples are shown in Tables 2 and 3. The highest and lowest EC location points of groundwater samples are highlighted in Figure 6. EC values of all the wastewater and groundwater samples are mentioned in Tables 4 and 5. The buffer zones of EC values in groundwater samples are highlighted with color in Figure 7. The average values of EC in groundwater and wastewater samples were comparatively higher than the research results of Tariq et al. (2006) on groundwater contamination in Hayatabad Industrial Estate, Peshawar. The elevated concentration of EC in the analyzed samples revealed the higher concentration of dissolved ions in the wastewater stream of Nalla Lai. The capacity of water to pass an electric current is measured by the EC value because it depends on the presence of free ions in water (Nasrullah et al. 2006).
Figure 6

Interpolation map showing highest and lowest EC location points of groundwater.

Figure 6

Interpolation map showing highest and lowest EC location points of groundwater.

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Figure 7

Interpolation map showing highest and lowest TDS location points of groundwater.

Figure 7

Interpolation map showing highest and lowest TDS location points of groundwater.

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TDS

TDS include minerals, salts, or metals dissolved in water (Sagar et al. 2015). The WHO standard value of TDS in drinking water is <1,000 mg L−1. The concentration of TDS elevated from 1,000 mg L−1 is not fit for drinking purposes (Akhtar et al. 2014). The TDS value indicates both salinity and quality of water and a high concentration of TDS alters the taste and hardness of water (Akhtar et al. 2014; Pande et al. 2015).

In groundwater samples, the average value of TDS was 484.24 mg L−1. The range value of TDS in groundwater samples was between 201 and 1,138 mg L−1, respectively. The descriptive statistics of TDS in groundwater samples are shown in Table 3. The highest and lowest EC location points of groundwater samples are highlighted in Figure 8 and the buffer zones of TDS values are highlighted with color in Figure 7. TDS values of all the groundwater samples are mentioned in Table 5. TDS concentration in one bore water sample was elevated from the standard value which was collected from the proximity of Nalla Lai. A high level of TDS may be due to the percolation of the pollutants from the wastewater of Nalla Lai. As mentioned by Choi et al. (2005), the average values of TDS in groundwater are increasing due to differences in land use and the average values are escalating from forest vicinity (151 mg L−1), agricultural territory (446 mg L−1), residential region (374 mg L−1), traffic site (446 mg L−1), and industrial sector (585 mg L−1). The average values reflect anthropogenic pollution.
Figure 8

Interpolation map showing highest and lowest (−SO4) location points of groundwater.

Figure 8

Interpolation map showing highest and lowest (−SO4) location points of groundwater.

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Sulfate

The mineral sulfur occurs in different valence states, i.e. S2−, S0, S4+, and S6+. Sulfate (S6+) has six electrons in its valence shell for chemical bonding and exists in tetrahedral coordination with oxygen (Hawthorne et al. 2000). The US EPS standard value of sulfate in drinking water is 250 mg L−1 and the NEQs, 1997 wastewater standard of sulfate is 600 mg L−1.

The groundwater and wastewater samples have average sulfate values of 28.2–24.32 mg L−1. The range value of sulfate in groundwater samples was 14.1–100.2 mg L−1, whereas the value of sulfate in wastewater samples was in the range of 21.70–30.10 mg L−1, respectively. The descriptive statistics of sulfate in wastewater and groundwater samples are shown in Tables 2 and 3. The highest and lowest sulfate location points of groundwater samples are highlighted in Figure 9. The analyzed results of sulfate in the groundwater and wastewater samples were detected below the recommended standard of NSDWQ, 2010 and NEQs, 1997 as mentioned in Tables 4 and 5. The results of wastewater are in contrast with the study conducted by Raashid & Hussain (2014) on industrial effluents of two pulp and paper industries in Punjab. The results showed that the values of sulfate were beyond the recommended value of NEQs, 1997. Due to the absence of any anthropogenic source in the vicinity of Nalla Lai, the concentration of sulfate was detected with the permissible limit in both surface water and groundwater in the proximity of Nalla Lai. Sulfate is found in any water supply, but its elevated level can be detected in water due to the influence of anthropogenic discharges (Miao et al. 2012; Srivastava & Pandey 2012).
Figure 9

Interpolation map showing highest and lowest Cl location points of groundwater.

Figure 9

Interpolation map showing highest and lowest Cl location points of groundwater.

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Chloride

Chloride (Cl) is one of the most important inorganic anions in sea and freshwater. Both sodium chloride and calcium chloride dissociate and form chloride in water (Alkhateeb 2014). The WHO standard value of chloride in drinking water is 250 mg L−1, whereas the NEQs, 1997 standard of chloride in wastewater is 1,000 mg L−1. The average chloride value in groundwater and wastewater samples was 27.68 and 55.55 mg L−1. The range value of chloride in groundwater samples was 7.6–107 mg L−1, whereas chloride values in wastewater samples were in the range of 7.6–79.6 mg L−1, respectively. The descriptive statistics of chloride in wastewater and groundwater samples are shown in Tables 2 and 3. The highest and lowest chloride location points of groundwater samples are highlighted in Figure 10. Chloride values in groundwater and wastewater samples were within the permissible limit of NSDWQ, 2010 and NEQs, 1997 as mentioned in Tables 4 and 5. Chloride occurs in natural water but both agricultural and industrial activities are responsible for its elevated concentration in any water body (Dohare et al. 2014). Its high concentration indicates heavy pollution due to inorganic fertilizers, landfill leachate, and septic tank effluents (Subramani et al. 2005; Sarada & Bhushanavathi 2015). Due to the absence of a potential source of chloride in the study area, the low concentration of sulfate was detected in both surface wastewater and groundwater samples.
Figure 10

Interpolation map showing highest and lowest Ha location points of groundwater.

Figure 10

Interpolation map showing highest and lowest Ha location points of groundwater.

Close modal

Hardness

As reported by Rao (2011) and Ramya et al. (2015), water hardness primarily depends on the concentration of calcium and magnesium ions in water. The prime reason for the excess concentration of hardness in groundwater samples was the presence of high mineral contents, i.e. calcium and magnesium cations. The NSDWQ, 2010 standard value of hardness in drinking water is <500 mg L−1.

The average hardness value in groundwater samples was 709 mg L−1. Its value in groundwater samples was in the range of 124–1,564 mg L−1. The descriptive statistics of hardness in groundwater samples are shown in Table 3. The highest and lowest hardness location points of groundwater samples are highlighted in Figure 11. The hardness was found at elevated levels in 75% of investigated groundwater samples including (17) bore water samples, (11) tube wells, (1) spring, and (1) dug well water. The analyzed values of hardness in all the groundwater samples are mentioned in Table 5. The buffer zones of hardness values in groundwater samples are highlighted with color in Figure 7. According to the National Research Council of the US (1974), iron, zinc, strontium, magnesium, and aluminum can also contribute to water hardness, but these metals are found in very minute concentrations. Ramya et al. (2015) mentioned that water with high mineral contents is called hard water. Carbonate hardness can remove by boiling, whereas non-carbonate hardness cannot be removed by boiling.
Figure 11

Interpolation map showing highest and lowest Cd location points of groundwater.

Figure 11

Interpolation map showing highest and lowest Cd location points of groundwater.

Close modal

Cadmium

The NSDWQ, 2010 and the WHO standard value of cadmium in drinking water is 0.01 and 0.003 mg L−1. The average cadmium value in groundwater and wastewater samples was 0.01 and 0.09 mg L−1. The range value of cadmium in groundwater samples was 0.005–0.036 mg L−1, whereas the cadmium value in wastewater samples was in the range of 0.006–0.3 mg L−1, respectively. The descriptive statistics of cadmium in wastewater and groundwater samples are shown in Tables 2 and 3. The highest and lowest chloride location points of groundwater samples are highlighted in Figure 12. Cadmium results of all the wastewater and groundwater samples are mentioned in Tables 4 and 5. The cadmium value in five groundwater samples was higher than the standard value of NSDWQ, 2010 and WHO and the samples were collected from the proximity of Nalla Lai. The cadmium value in five wastewater samples was elevated above the standard of NEQS, 1997. Both surface and groundwater values of cadmium revealed that cadmium is also percolating from the surface wastewater of Nalla Lai to groundwater in its proximity. The research conducted by Nasrullah et al. (2006) on industrial effluents and groundwater quality revealed that cadmium concentration was detected above the permissible limit in one tube well water sample. Nasrullah et al. (2006) reported that the Cd high concentration in drinking water (groundwater) was analyzed due to the percolation of waste effluents in the marble, steel, and aluminum industries. The major source of cadmium in wastewater of the Nalla Lai is due to the discharge of waste effluents from iron industries, steel, and paint industries in the I-9 and I-10 industrial areas of Islamabad. Cadmium seeks attention due to its toxic nature (Azizullah et al. 2011). Cadmium can be toxic if the concentration exceeds 0.01 mg L−1 in both drinking and irrigation water (Hem 1980). Industrial and mining activities are the potential sources of cadmium in water (Taha et al. 2004). Cadmium ingestion can cause gastrointestinal diseases like vomiting and diarrhea (Nordberg 2004). Its long-term exposure can cause kidney failure (Barbier et al. 2005), reproductive diseases (Frery et al. 1993; Piasek & Laskey 1999; Johnson et al. 2006), bone damage (Kazantzis 1979), and cancer (Waalkes et al. 1988).
Figure 12

Interpolation map showing highest and lowest Fe location points of groundwater.

Figure 12

Interpolation map showing highest and lowest Fe location points of groundwater.

Close modal

Copper

The WHO standard value of copper in drinking water is 2 mg L−1. The NEQs, 1997 standard value of copper in wastewater is 1 mg L−1. The average copper value in groundwater and wastewater samples was 0.09 and 0.08 mg L−1. The range value of copper in groundwater samples was 0.038–0.139 mg L−1, whereas the copper value in wastewater samples was in the range of 0.012–0.204 mg L−1, respectively. The descriptive statistics of copper in wastewater and groundwater samples are shown in Tables 2 and 3. Copper results in all the wastewater and groundwater samples are mentioned in Tables 4 and 5. Copper was detected in seven wastewater samples and three groundwater samples, it was observed above the BDL (below detection limit) value. Nasrullah et al. (2006) analyzed the concentration of copper higher than the permissible limit in groundwater near the industrial area of Swabi as well as in the wastewater sample collected from the main drain of the marble industry. Although several marble factories are located in the industrial area of Islamabad, it was detected in low concentration because the marble factory's waste and effluents are not discharging in the wastewater stream (Nalla Lai). Although copper is a necessary element present in enzymes, its minute concentration is critical for the synthesis of hemoglobin (Tiwari et al. 2013). However, copper excess concentration can cause neurological problems, hypertension, kidney, and liver failure (Krishna & Govil 2004). In infants, its intake can cause death, vomiting of short-lived, and diarrhea (Barzilay et al. 1999).

Iron

The WHO standard value of iron in drinking water is 0.3 mg L−1. The NEQs, 1997 standard value of iron in wastewater is 1 mg L−1. The average iron value in groundwater and wastewater samples was 1.23 and 1.09 mg L−1. The range value of iron in groundwater samples was 0.101–4.76 mg L−1, whereas iron in wastewater samples was in the range of 0.12–4.48 mg L−1, respectively. The descriptive statistics of iron in wastewater and groundwater samples are shown in Tables 2 and 3. The highest and lowest iron location points of groundwater samples are highlighted in Figure 13. Iron values of all the wastewater and groundwater samples are mentioned in Tables 4 and 5. Ten groundwater samples near Nalla showed iron concentrations higher than the set standard of NSDWQ, 2010 and WHO. Iron concentration in three wastewater samples was exceeding the wastewater standards of NEQs, 1997. The analyzed results revealed that iron is percolating from the surface wastewater of Nalla Lai to groundwater in its vicinity. The major source of iron in wastewater of Nalla Lai is the discharge of waste effluents from the iron and steel industries in the I-9 and I-10 industrial areas of Islamabad. Aderemi et al. (2011) revealed that 75% of the analyzed groundwater samples (well water) collected near municipal solid waste landfill sites were contaminated with iron concentrations above the permissible limit set by WHO. Iron is an essential micronutrient but its high consumption through drinking water can lead to liver disease (Gyamfi et al. 2012). As compared with its deficiency, its excess and overexposure can cause numerous health problems such as cancer (Beckman et al. 1999; Parkkila et al. 2001), diabetes (Ellervik et al. 2001; Parkkila et al. 2001), heart and liver diseases (Yang et al. 1998; Milman et al. 2001; Rasmussen et al. 2001), and neurological problems as well (Sayre et al. 2000; Berg et al. 2001).
Figure 13

Interpolation map showing highest and lowest Mn location points of groundwater.

Figure 13

Interpolation map showing highest and lowest Mn location points of groundwater.

Close modal

Manganese

The WHO standard value of manganese in drinking water is 0.5 mg L−1. The NEQs, 1997 standard value of manganese in wastewater is 1.5 mg L−1. The average manganese value in groundwater and wastewater samples was 0.25 and 0.35 mg L−1. The range value of manganese in groundwater samples was 0.04–0.85 mg L−1, whereas manganese values in wastewater samples were in the range of 0.15–1.48 mg L−1, respectively. The descriptive statistics of manganese in wastewater and groundwater samples are shown in Tables 2 and 3. The highest and lowest manganese location points of groundwater samples are highlighted in Figure 14. Manganese values in all the groundwater and wastewater samples are mentioned in Tables 4 and 5. Manganese was detected in all the samples of wastewater within the permissible limit value of NEQs, 1997. Manganese was detected in elevated concentration in four groundwater samples which were collected from the proximity of the wastewater stream of Nalla Lai. Manganese's high concentration depicts that it may be percolated from the surface wastewater of Nalla Lai. Manganese is an important trace nutrient for all living organisms (Emsley 2003). It regulates numerous enzymes of the human body but the excess dose of manganese harms the nervous system of the brain (Crossgrove & Zheng 2004). Excess intake causes permanent neurological diseases (Barbeau 1984; Inoue 1996).
Figure 14

Interpolation map showing highest and lowest Zn location points of groundwater.

Figure 14

Interpolation map showing highest and lowest Zn location points of groundwater.

Close modal

Lead

The WHO standard value of lead in drinking water is 0.01 mg L−1 and the NEQs, 1997 standard value of lead in wastewater is 0.5 mg L−1. The average lead value in groundwater and wastewater samples was 0.02 and 0.10 mg L−1. The range value of lead in groundwater samples was 0.002–0.04 mg L−1, whereas the lead value in wastewater samples was in the range of 0.008–0.268 mg L−1, respectively. The descriptive statistics of lead in wastewater and groundwater samples are shown in Tables 2 and 3. Lead values in all the wastewater and groundwater samples are mentioned in Tables 4 and 5. A minute level of lead naturally exists in soil and water (Raviraja et al. 2008). As mentioned by Haq (2009), the concentration of lead detected in drinking water is due to industrial discharges, waste dumping, gaseous emissions from traffic sources, and domestic paints (Haq 2009). Its chronic exposure can damage human organs like the digestive and nervous system, cardiovascular system, reproductive system, hematopoietic system, skeleton, and kidney (Gidlow 2004; Venkatesh 2004).

Zinc

The WHO standard value of zinc in drinking water is 3 mg L−1. The NEQs, 1997 standard value of zinc in wastewater is 5 mg L−1. The average zinc value in groundwater and wastewater samples was 1.06 and 0.68 mg L−1. The range value of zinc in groundwater was 0.01–6.2 mg L−1, whereas the zinc value in wastewater samples was in the range of 0.05–4.20 mg L−1, respectively. The descriptive statistics of zinc in wastewater and groundwater samples are shown in Tables 2 and 3. The highest and lowest zinc location points of groundwater samples are highlighted in Figure 15. Zinc values in all the wastewater and groundwater samples are mentioned in Tables 4 and 5. Zinc was detected below the permissible limit in all the wastewater samples of Nalla Lai. Zinc was analyzed in high concentration in one bore water sample which was collected from the proximity of Nalla Lai. The elevated level depicts that zinc may also be percolated from the surface wastewater of Nalla Lai. Zinc is a necessary element for human health (Solomons & Ruz 1998). Maintaining zinc concentration in body cells is vital for human survival. Zinc releases as free ions from food during digestion in the body (Roohani et al. 2013). Its high concentration can cause health problems (Fosmire 1990; Singh et al. 2006).
Figure 15

Location points of positive (+ve) and negative (−ve) results of fecal coliform (E. coli) in groundwater.

Figure 15

Location points of positive (+ve) and negative (−ve) results of fecal coliform (E. coli) in groundwater.

Close modal

Biological oxygen demand

The NEQs, 1997 standard value of BOD in wastewater is 80 mg L−1. The average BOD value in wastewater samples of Nalla Lai was 120.21 mg L−1. BOD values in wastewater samples were in the range of 87–194 mg L−1. BOD values in all wastewater samples of Nalla Lai were elevated from the recommended value of NEQs, 1997. The descriptive statistics of BOD in wastewater samples are shown in Table 2. BOD results of all the wastewater samples are mentioned in Table 4. The elevated values of BOD in the analyzed samples revealed the presence of a high load of organic pollutants in the wastewater stream of Nalla Lai. The guideline range of BOD in domestic wastewater is 100–300 mg L−1 (Abdalla & Hammam 2014). BOD measures the organic pollutants and level of gaseous oxygen in the water and BOD value reveals the microbial utilization of oxygen in the water to break down the organic substances (Bhatnagar 2015).

Chemical oxygen demand

The NEQs, 1997 standard value of COD in wastewater is 150 mg L−1. The average COD value in wastewater samples was 240.15 mg L−1. The range value of COD in groundwater samples was 186–315 mg L−1. COD results of all wastewater samples were elevated from the recommended value of NEQs 1997. The descriptive statistics of COD in wastewater samples are shown in Table 2. COD results of all the wastewater samples are mentioned in Table 4. The elevated COD values revealed the presence of a high concentration of both organic and inorganic pollutants in the wastewater stream of Nalla Lai. COD is the measure of the oxygen level required to decompose both organic and inorganic matter in water (Bhatnagar 2015). COD is the chemical breakdown of pollutants where oxygen is necessary to execute absolute oxidation to carbon dioxide and water (Dogar et al. 2013).

E. coli

Microbial contamination of E. coli was detected in 30 groundwater samples out of a total of 36 analyzed samples. E. coli in groundwater samples was analyzed by using a qualitative research method. The symbol –ve in the groundwater sample represents that E. coli is detected in the water sample, whereas the symbol +ve shows that E. coli is not detected in the analyzed water sample as shown in Figure 16. The groundwater samples were collected from the proximity of Nalla Lai. The potential source of groundwater contamination was the wastewater stream of Nalla Lai. The wastewater of Nalla Lai percolates downward and contaminates the groundwater in its surrounding area. The research conducted by Islam-Ul-Haq & Ahmed (2007) revealed that due to the discharge of untreated domestic wastewater, the bacteria can reach the groundwater because of the puncturing of rocks positioned below the soil. As mentioned by Shahid et al. (2015), microbial contaminations in drinking water can outbreak diseases such as diarrhea, gastroenteritis, dysentery, typhoid, and nausea.
Figure 16

Buffer zones of analyzed physicochemical parameter values of groundwater along Nalla Lai, Rawalpindi.

Figure 16

Buffer zones of analyzed physicochemical parameter values of groundwater along Nalla Lai, Rawalpindi.

Close modal

Correlation

The reciprocal relationship between two variables is called correlation. The increase in one variable causes the increase in another variable and is called positive correlation, whereas the increase in one variable tends to decrease in another variable and is called negative correlation. The correlation coefficient is a value that ranges from +1 to −1. A value of 0 means there is no linear correlation between the two variables. The strong correlation between the two parameters ranges from ±0.8 to ±1.0, the moderate correlation ranges from ±0.5 to ±0.8, weak correlation ranges from 0.0 to ±0.5 (Shroff et al. 2015). The correlation coefficient (r) of groundwater quality parameters is calculated in Table 6 and the values are highlighted with blue, white, and red colors.

Table 6

Correlation matrix of physicochemical parameters of groundwater of the study area

 
 

The values of the correlation coefficient ranging in blue colors represent strong, moderate, and weak positive correlation among water quality parameters and the values in white color shows no correlation, whereas the correlation coefficient values ranging in red colors represent negative correlation among water quality parameters.

The study revealed that groundwater reflects the wastewater stream of Nalla Lai in terms of heavy metals and microbial contamination. The heavy metals detected in high concentrations in the wastewater stream of Nalla Lai were also examined in an elevated concentration in the groundwater of the vicinity area, especially within a 100-m distance along both sites of Nalla Lai. Physicochemical and microbial contamination was detected in many groundwater samples collected from bore water, hand pumps, tube wells, and dug wells located in the proximity of Nalla Lai. Cadmium, iron, BOD, and COD levels were elevated from the recommended values in many wastewater samples. Nalla Lai is an open sewer and the potential anthropogenic source of groundwater contamination that also carries both domestic and commercial effluents of Rawalpindi as well as the industrial effluents of sectors I-9 and I-10, Islamabad. Iron, steel, and paints industries of Islamabad are discharging waste effluents directly into the wastewater stream of Nalla Lai without adequate treatment in wastewater treatment plants. Many drinking water quality parameters such as pH, color, hardness, TDS, manganese, and zinc were exceeding the national standards in one or more groundwater samples that were collected from the nearest distance of Nalla Lai. Microbiological contamination of fecal coliform was detected in 83% of the analyzed groundwater samples. A similar kind of study was conducted on the groundwater quality of Nalla Lai, Rawalpindi city, Pakistan. Water samples were collected from (220) tube wells from different locations in the year 2007. The analyzed results revealed that 50% of groundwater samples of tube wells showed bacterial contamination. The prime source of microbial contamination is the percolation of Lai Nalla wastewater. Nalla Lai acts as an open sewer that carries 65% sewage of the city (Islam-Ul-Haq & Ahmed 2007). Maximum contamination was observed in the 36 analyzed samples, collected from bore water and dug well located adjacent to the Nalla Lai wastewater stream and minimum contamination results were obtained from the 13 control samples that were taken from at least a 1 km distance along both sites of Nalla Lai. The study concluded that pollutants enter the wastewater stream from domestic, commercial, and industrial sources due to the unavailability of a proper wastewater treatment facility and percolate downward and finally contaminating the groundwater quality in the vicinity.

  • Tube wells, boreholes, hand pumps, and dug wells should be installed at least 300–400 m away from Nalla Lai to prevent any type of percolation and leaching from the wastewater of Nalla Lai.

  • There should be proper laboratory testing of physicochemical and microbiological parameters of newly installed tube well or bore water before water supply to the public.

  • Periodic monitoring of all tube wells and bore water should be conducted to cope with wastewater percolation issues.

  • Groundwater extraction should be promoted from the deeper aquifer and increase the depth of existing shallow water boreholes.

  • Enforce effective and efficient management plan for domestic and commercial solid waste of Rawalpindi and industrial waste effluents of sectors I-9 and I-10, Islamabad.

  • Solid waste should not be dumped on the banks of Nalla water which increases the chances of leachate formation and percolation of contaminants into groundwater.

  • Groundwater percolation can be prevented through proper management of wastewater of Nalla Lai which includes the proper sanitation system of Rawalpindi city.

  • Water filtration plants should be installed in each inhabitant colony to ensure public health.

  • The percolation of wastewater from Nalla Lai can be fully prevented through proper cementation by using concrete in the base of Nalla Lai and by the construction of concrete walls on the banks of Nalla Lai.

All relevant data are available from an online repository or repositories: https://github.com/Shahid1378567ghj/science.git.

The authors declare there is no conflict.

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