To ensure the ecological operation of the proposed C hydropower stations of the Upper Yellow River, the suitable minimum ecological flow of the study reach after the completion of hydropower station is studied. The native plateau fish was considered as an indicator species of the reach downstream of the dam for ecological conservation. The study is based on a 2D shallow water model with high-precision solution methods and GPU-accelerated performance, combined with Tennant, hydraulics method and habitat suitability models to obtain habitat conditions of river for fish survival during non-spawning periods and effective habitat areas during spawning period under different discharges. The results indicated that the suitable minimum ecological flow downstream of the C hydropower station was 87.5 m³/s to protect fish downstream. This achievement not only provides basic data for the optimal operation of C hydropower station based on the ecological response, but also some reference value for the actual operation management of water conservancy projects. Besides, it is of great ecological significance for the protection of native fish habitat in the Yellow River Basin.

Graphical Abstract

Graphical Abstract
Graphical Abstract

In recent decades, with the continuous development of industrialization and urbanization, the requirements for water resources and energy have increased dramatically (Qiu & Hu 2018; Hough et al. 2022). Human beings have built dams, weirs, and different structures in the rivers for water supply and power generation to fully exploit and utilize water resources. However, the presence of these hydraulic projects modified the hydrological regimes of the natural river (Bednarek 2001; Zhao et al. 2018; Homsi et al. 2020; Gălie et al. 2021; Yan et al. 2021), and thus threaten the health and sustainability of the riverine ecosystems (Anderson et al. 2017; Ostad-Ali-Askari et al. 2019; Shamshirband et al. 2019). To balance the contradiction between the economic and social water use and the ecological environment, and further ensure the health of river ecosystem and habitat integrity, ecological flow came into being (Poff & Matthews 2013; Gates et al. 2015). The science and practice of the ecological flow as an approach for protecting important ecological services and ensuring the sustainable development of human socioeconomics by managing water flow regimes is of great practical significance (Arthington et al. 2018; Wu et al. 2022). Especially, for the increasingly constructed hydropower stations, the determination of ecological flow is not only the premise and basis for studying their ecological operation, but also one of the core requirements of sustainable hydropower development (Qiu & Hu 2018; Zhang et al. 2019; Yu et al. 2021).

It is predicted that, by 2050, the global water demand will increase by 55% (Lucinda et al. 2016), the growing large dams and hydropower stations worldwide will be built to meet the demand for water (ICOLD 2020), which further aggravates the contradiction between water use inside and outside the river (Li et al. 2013; Salik et al. 2016). Thus, ecological flow, which can reflect the flow-ecology relationships within river systems, has become a hot issue in the study of how to better manage water resources and protect riverine ecosystems (Mezger et al. 2021). Relevant experts and scholars have performed numerous studies on ecological flow assessment over time, and many methods have emerged, which have mainly been differentiated into hydrological methods, hydraulic methods, habitat simulation methods, etc. (Jowett 1997; Ahmadi-Nedushan et al. 2010; Pastor et al. 2014; Bussettini & Vezza 2019).

The hydrological method is widely used because of the availability of hydrological data (Hughes & Hannart 2003), included in, Tennant, Texas, etc., and it is considered as the simplest approach (Li & Xu 2012; Bussettini & Vezza 2019). But the obtained ecological flow value is small and can only support the short-term basic survival of fish and other aquatic organisms (Zou & Wang 2007). The hydraulic method measures the changes in simple hydraulic variables of single sections of a particular river, to substitute habitat factors known or assumed to be target biological limiting factors, aimed at determining the minimum or preservation flows required (Caissie & El-Jabi 2003; McDonough et al. 2017), the wetted perimeter and R2-Cross method are widely employed. In the case of complete filed data, more detailed hydraulic data can be provided for the habitat simulation method (Dunbar et al. 1997). The habitat simulation method, the second most widely adopted method worldwide, determines ecological flow based on the hydraulic conditions required by indicator species, which includes IFIM and CASiMiR (Noack et al. 2013; Ma et al. 2020). As a natural extension of the hydraulic method, the habitat simulation method is considered a valuable tool for assessing instream flows, but it tends to be applied for targeted species and for specific life stages (Jowett & Davey 2007).

To obtain a more reasonable ecological flow, it is important not to rely on only one method, but rather on the best available knowledge pertaining to all instream flow approaches (Caissie & El-Jabi 2003). Hence, the combined approach is adopted to evaluate ecological flow, such as the combination of two or more methods of hydrological, hydraulic, and habitat simulation (Zhao et al. 2020), aimed at providing a more suitable physical habitat for aquatic organisms.

With the increasing awareness of ecological protection, we should not only pursue efficient utilization of water resources and maximization of economic benefits for the numerous water conservancy projects in the Upper Yellow River, but also pay attention to the protection of the health and sustainability of river ecosystems. In the proposed C hydropower stations, native fish were considered as indicator species of the reach downstream of the dam for ecological conservation through field surveys. The 2D shallow water model with high-efficiency and high-resolution, the ecological flow calculation methods combined with Tennant, the hydraulics method, and habitat suitability model were applied. Habitat conditions, such as hydraulics, flow patterns, and river morphology of the reach during non-spawning periods and effective habitat areas of native fish during the spawning period under different discharges were analyzed. Through the detailed analysis, a more reasonable and suitable minimum ecological flow downstream of the dam was obtained to construct and develop eco-friendly hydropower projects.

Study site

To further develop the rich hydropower resources in the Upper Yellow River, the C hydropower station is proposed to be built at the junction of Xinghai County and Guinan County, Hainan Prefecture, Qinghai Province. This hydropower station is about 75 km away from Banduo hydropower station and is connected to Longyangxia hydropower station about 100 km away downstream, the regulated storage of which is 239 million m3. The area where the proposed dam site of C Hydropower Station is located has an average annual temperature of 2.3 °C, an average annual precipitation of 403.8 mm, and an average altitude of 2,625 m. While this area is involved in the Sanjiangyuan National Nature Reserve of China, the development of hydropower resources should be based on ecological environment protection and reasonable development. The reach downstream the dam of C hydropower station is mainly composed of two wide valleys upstream and downstream of Yehuxia Gorge and is the main habitat and breeding area of native fish on the plateau. To protect the habitats of native fish and unique fish on Qinghai plateau, and alleviate the impact of hydropower project on fish resources and the aquatic ecological environment, it is vital to determine the reasonable minimum ecological flow after the completion of the hydropower station. The location of the study area is shown in Figure 1.
Figure 1

Location of the study area.

Figure 1

Location of the study area.

Close modal

Survey on aquatic ecological environment

The survey results of fish resources in 2017 are shown in Table 1. It is found that most native fish belong to the key protected aquatic wildlife and the economic fish species in Qinghai province, some fish resources are vulnerable or endangered. Meanwhile, it can be seen from Table 1 that the native fish resources captured are large in the study area, among which Gymnocypris eckloni and Triplophysa siluroides are the dominant species. As a natural fish spawning ground, the typical habitat characteristics of Yehuxia spawning ground are shown in Figure 2. This figure shows that the river bed is wide and shallow, gentle water flows, the substrate is gravel and sand, which indicates habitat conditions of the reach are suitable for native fish spawning. Thus, native fish can be taken as indicator species of ecological conservation.
Table 1

Statistical investigation of native fishery resource in 2017

FamilySpeciesSite (tails)
Downstream of the damStudy area
Cyprinidae Gymnocypris eckloni 259 137 
Acanthogobioguentheri 54 99 
Platypharodonextremus 48 
Gymnodiptychuspachycheilus – 
Schizopygopsispylzovi 29 62 
Chuanchialabiosa 33 
Cobitidae Triplophysa siluroides 168 47 
Triplophysa pseudoscleroptera 101 68 
Triplophysa pappenhaimi 10 36 
FamilySpeciesSite (tails)
Downstream of the damStudy area
Cyprinidae Gymnocypris eckloni 259 137 
Acanthogobioguentheri 54 99 
Platypharodonextremus 48 
Gymnodiptychuspachycheilus – 
Schizopygopsispylzovi 29 62 
Chuanchialabiosa 33 
Cobitidae Triplophysa siluroides 168 47 
Triplophysa pseudoscleroptera 101 68 
Triplophysa pappenhaimi 10 36 
Figure 2

Typical habitat characteristics of Yehuxia spawning ground.

Figure 2

Typical habitat characteristics of Yehuxia spawning ground.

Close modal

Numerical models

2D Shallow water model

The 2D shallow water model, called the GPU-accelerated surface water flow and associated transport model (GAST), is adopted in this paper, in which the kinetic and turbulent viscous terms, wind stresses, and Coriolis effects are neglected (Liang & Borthwick 2009). The cell-centered finite volume (CCFV) method of the Godunov scheme is applied to solve this model (Hou et al. 2014). In addition, GPU high-speed parallel computing based on CUDA architecture is introduced into the model to improve the calculation efficiency (Yang et al. 2021). The governing equations in a matrix form of the model can be written as,
(1)
(2)
where t is the time, s; x and y are the and direction coordinates, respectively; is the vectors of flow variables; is the direction fluxes; is the direction fluxes; is the source vector, which includes bed slope source and friction source . h is the depth of water, m; u, v are the velocity in the and directions, respectively, m/s; is the bottom elevation of the river bed, m; is the bed roughness coefficient, , in which n is the Manning coefficient, and g is the gravitational acceleration, m/s2.

Combined approaches

The Tennant method is representative of hydrological methodology often used as preliminary flow targets (Tharme 1997; Dunbar et al. 1998). In this paper, the minimum ecological flow 10% the mean annual flow considered to maintain survival habitat for aquatic biota in the Tennant method as a preliminary flow target to provide the basis for other methods. Meanwhile, an assumed direct relation between hydraulic characteristics and fish habitat, wetted perimeter, and R2-Cross method are considered to achieve basic hydraulic parameters, flow pattern, and river morphology of cross-section during non-spawning periods, thus further reflecting habitat availability of target fish throughout the life cycle. Besides, based on IFIM, the habitat suitability method considering the habitat suitability index (HSI) is developed. A composite suitability index (CSI) and a weighted used area (WUA) are obtained (Yi et al. 2014; Ma et al. 2020). The details are as follows:
(3)
(4)
where i is the number of control cell; is the area of control cell i, m2; , , are the suitability indices of water depth, velocity, the substrate in the control cell i, respectively, which are from 0 to 1; is the comprehensive habitat suitability index, which is a value between 0 and 1.

Numerical models

Discharges and water levels

According to the statistical analysis of the runoff series from 1919 to 2016, the mean annual runoff at the dam site of C hydropower station is 629 m3/s and the average annual discharge of the low flow year is 424 m3/s. The Tennant method is applied to propose the recommended minimum ecological flow with fixed percentages based on the average annual flow of 629 m3/s. Combined with the measured flood surface line survey, the downstream water levels of the study reach under the corresponding discharges are obtained by interpolation, as shown in Table 2.

Table 2

Proposed flows and corresponding downstream water levels

Discharges (m3/s)Percentage (%)Water levels (m)Discharges (m3/s)PercentageWater levels (m)
62.9 10.0 2,576.349 106.9 17.0 2,576.676 
75.5 12.0 2,576.433 125.8 20.0 2,576.678 
87.5 14.0 2,576.533 424.0 67.4 2,579.070 
94.4 15.0 2,576.581 629.0 100.0 2,580.247 
Discharges (m3/s)Percentage (%)Water levels (m)Discharges (m3/s)PercentageWater levels (m)
62.9 10.0 2,576.349 106.9 17.0 2,576.676 
75.5 12.0 2,576.433 125.8 20.0 2,576.678 
87.5 14.0 2,576.533 424.0 67.4 2,579.070 
94.4 15.0 2,576.581 629.0 100.0 2,580.247 

In addition, the measured water levels and the simulated water levels under the flow of 636 m3/s were used to select the comprehensive roughness, as shown in Figure 3. When the roughness is 0.040, the simulated water levels were in good agreement with the measured, so the comprehensive roughness is determined to be 0.040.
Figure 3

Comparison between simulated and measured water levels in the study area.

Figure 3

Comparison between simulated and measured water levels in the study area.

Close modal

Indicator species and their key factors

Under natural conditions, the main breeding period of Gymnocypris eckloni and Acanthogobioguentheri is from May to June, and that of Triplophysa is from late March to early June, April to May for breeding peak. It can be seen that the main spawning periods of native fish are mainly concentrated in May and June. Based on the field investigation, the suitable water depth and velocity for spawning and reproduction of native fish were determined. Meanwhile, the main substrate in this reach is a fine particle, such as medium-sized pebbles and sand gravel, which are suitable for most native fish to spawn. Hence, native fish are taken as the indicator species and May is selected as the spawning period, and water depth, velocity, and substrate as the key influencing factors in this paper. Based on the definition of the HSI (Yi et al. 2014), the suitability curves of water depth and velocity for native fish in the spawning period are determined, as shown in Figure 4. The main substrates are suitable for most native fish spawning, and the substrate suitability index is 1.0.
Figure 4

Suitability curves of major habitat factors.

Figure 4

Suitability curves of major habitat factors.

Close modal

Criteria for hydraulic parameters suitable habitat for fish based on the surveys

Through the field surveys of the habitat status of native fish under natural conditions, the cross-sectional hydraulic parameters are studied, to pay attention to the non-spawning habitat conditions of native fish. According to the living habits of native fish on the plateau, species, body length, feeding reproductive habits, etc., as well as the preferred flow pattern of fish, it is found that cross-sectional basic hydraulic parameters, such as maximum water depth , average water depth , average velocity , water width B, discharge section area A, and wetted perimeter W, have a certain impact on fish habitats. Meanwhile, the flow pattern can be divided in detail into rapids (≥1 m/s), relatively rapids (0.5–1 m/s), relatively tranquil (0.3–0.5 m/s), and tranquil flow (<0.3 m/s) based on the cross-sectional average velocity. Furthermore, on the basis of field observation and judging by the cross-sectional maximum water depth, pool and riffle are identified. When the cross-sectional maximum water depth is greater than 10 m, it is considered as a pool. While the maximum water depth is less than 0.5 m in the range of 5 m, and the bank slope near the river is less than 10°, it is treated as a riffle.

Generally, the cross-sectional maximum water depth should be considered as 2–3 times the total length of fish (the longest fish is 46.2 cm) to meet the swimming and survival requirements of the longest fish. So the maximum water depth is greater than 1.4 m. Through the field survey and analysis, compared with the average annual discharge of 424 m3/s in low flow years, minimum standards for other hydraulic parameters, flow form, and river morphology for the survival of native fish are acquired, as shown in Table 3. Here, the water surface area radio is the percentage of the cross-sectional water surface area at a certain discharge to the discharge of 424 m3/s. Meanwhile the wetted perimeter percentage is the percentage of the cross-sectional wetted perimeter at a certain discharge to the discharge of 629 m3/s. The number of cross sections M with the rapid and relatively rapid flows and the number of cross sections with riffle are also considered.

Table 3

Minimum requirements for basic hydraulic parameters, flow form, and river morphology required by native fish of the cross sections in the reach

Habitat parametersStandardPercentage of minimum river reach
(m) ≥1.4 95% 
(m) ≥0.5 95% 
(m/s) ≥0.3 95% 
(m) ≥30 95% 
(%) ≥50 95% 
(m2≥30 95% 
(%) ≥70 100% 
 No obvious change Reduction rates of river lengths with rapids and relative rapids <20% 
 No obvious change 100% 
Habitat parametersStandardPercentage of minimum river reach
(m) ≥1.4 95% 
(m) ≥0.5 95% 
(m/s) ≥0.3 95% 
(m) ≥30 95% 
(%) ≥50 95% 
(m2≥30 95% 
(%) ≥70 100% 
 No obvious change Reduction rates of river lengths with rapids and relative rapids <20% 
 No obvious change 100% 

Ecological flow during the non-fish spawning period

Basic hydraulic parameters

The distribution of water depth and velocity in the study area under different discharges was obtained by the 2D shallow water model, as shown in Figure 5 and Table 4. As can be seen from Figure 5 and Table 4, the average water depth and velocity increased with the discharge increasing. While when the proposed discharges were from 62.9 to 125.8 m3/s, water flows were mainly distributed in the main channel, and there was little difference in the variation of water depth and velocity.
Table 4

Average water depth and velocity in the study area under different discharges

Discharges (m3/s) (m) (m/s)Discharges (m3/s) (m) (m/s)
62.9 0.814 0.102 106.9 0.946 0.130 
75.5 0.839 0.113 125.8 1.066 0.131 
87.5 0.887 0.122 424.0 1.898 0.205 
94.4 0.908 0.125 629.0 2.204 0.242 
Discharges (m3/s) (m) (m/s)Discharges (m3/s) (m) (m/s)
62.9 0.814 0.102 106.9 0.946 0.130 
75.5 0.839 0.113 125.8 1.066 0.131 
87.5 0.887 0.122 424.0 1.898 0.205 
94.4 0.908 0.125 629.0 2.204 0.242 
Figure 5

Distribution of water depth and velocity under different discharges. (a) Discharge of 62.9 m3/s. (b) Discharge of 75.5 m3/s. (c) Discharge of 87.5 m3/s. (d) Discharge of 94.4 m3/s. (e) Discharge of 106.9 m3/s. (f) Discharge of 125.8 m3/s. (g) Discharge of 424 m3/s. (h) Discharge of 629 m3/s. Please refer to the online version of this paper to see this figure in colour: https://dx.doi.org/10.2166/hydro.2022.136.

Figure 5

Distribution of water depth and velocity under different discharges. (a) Discharge of 62.9 m3/s. (b) Discharge of 75.5 m3/s. (c) Discharge of 87.5 m3/s. (d) Discharge of 94.4 m3/s. (e) Discharge of 106.9 m3/s. (f) Discharge of 125.8 m3/s. (g) Discharge of 424 m3/s. (h) Discharge of 629 m3/s. Please refer to the online version of this paper to see this figure in colour: https://dx.doi.org/10.2166/hydro.2022.136.

Close modal

Moreover, basic hydraulic parameters of the selected cross sections of the study reach were calculated through the hydraulic method. According to the calculation results, the percentages of cumulative river length conforming to the standards are analyzed statistically (see Table 5). Combined with Table 3, it can be seen that at the discharge of 62.9 m3/s, the cumulative river length ratio that meets the minimum standard of cross-sectional maximum water depth, average water depth, average velocity, and wetted perimeter percentage was 92.12, 93.76, 93.83, and 93.43%, respectively. Because these percentages should not be less than 95% as required, it showed that the above cross-sectional hydraulic parameters did not meet the requirements at this discharge. While the discharge is 75.5 m3/s, all basic hydraulic parameters met the requirements of minimum standard and the proportions of cumulative river length. As the discharge increased, all basic hydraulic parameters were also suitable for native fish.

Table 5

Statistical results for cross-sectional basic hydraulic parameters in the reach

Discharge (m3/s)Ratio of river reach of habitat parameters (%)
(%)
62.9 92.12 93.76 93.83 96 93.43 100 75.1 
75.5 96.27 98.24 96.23 97 100 100 78.8 
87.5 98.64 99.35 98.63 98.90 100 100 78.8 
94.4 100 100 100 100 100 100 78.8 
106.9 100 100 100 100 100 100 85.8 
125.8 100 100 100 100 100 100 87.2 
Discharge (m3/s)Ratio of river reach of habitat parameters (%)
(%)
62.9 92.12 93.76 93.83 96 93.43 100 75.1 
75.5 96.27 98.24 96.23 97 100 100 78.8 
87.5 98.64 99.35 98.63 98.90 100 100 78.8 
94.4 100 100 100 100 100 100 78.8 
106.9 100 100 100 100 100 100 85.8 
125.8 100 100 100 100 100 100 87.2 

Flow pattern and river morphology

Based on the cross-sectional average velocity, the number of cross sections, and the cumulative river lengths with different flow patterns, the number of cross sections of riffles under different discharges were counted, as shown in Tables 6 and 7. Compared with the discharge of 424 m3/s in the low flow year, it could be seen that when the discharge was greater than 62.9 m3/s, the reduction rates of cumulative river lengths with rapids and relatively rapids flow were less than 20%, and the number of cross sections of riffle did not much vary. Thus, it was concluded that flow pattern and riffle habitat suitable for survival of native fish in the non-spawning periods could be satisfied when the discharge was greater than 62.9 m3/s.

Table 6

Flow patterns of the study reach under different discharges

Flow patternDischarge (m3/s)
62.975.587.594.4106.9125.8
Rapids and relatively rapids flow  10 11 11 11 12 12 
River length (km) 7.16 7.91 7.91 7.91 8.55 8.55 
Reduction rates of river lengths 12.86 5.92 5.92 5.92 
Flow patternDischarge (m3/s)
62.975.587.594.4106.9125.8
Rapids and relatively rapids flow  10 11 11 11 12 12 
River length (km) 7.16 7.91 7.91 7.91 8.55 8.55 
Reduction rates of river lengths 12.86 5.92 5.92 5.92 
Table 7

River morphology of the study reach under different discharges

River morphologyDischarge (m3/s)
62.975.587.594.4106.9125.8
Riffles  
River morphologyDischarge (m3/s)
62.975.587.594.4106.9125.8
Riffles  

Ecological flow during the fish spawning period

Comprehensive habitat index distribution

CSI distributions of the study area under the proposed discharges are shown in Figure 5. The CSI was classified into high (0.6–1.0), medium (0.4–0.6), low (0.2–0.4), poor (0–0.2), and no habitat (0) through blue and cyan, green, yellow, red and no color to display, respectively. As can be seen from Figure 6, under the discharges from 62.9 to 125.8 m3/s, the effective spawning habitats of native fish were mainly concentrated in the reach close to the dam site and the downstream reach of Yehuxia Gorge. The spawning habitat quality of the lower reaches of Yehuxia was higher in the center of the river, but was worse near a river bank or even no longer existed, while it was higher near the right bank of the river close to the dam site. As the discharges increased, the distribution regions of the spawning habitat reach had been expanded, especially when the discharge was greater than 87.5 m3/s.
Figure 6

CSI distribution of the study reach under different discharges. (a) Discharge of 62.9 m3/s. (b) Discharge of 75.5 m3/s. (c) Discharge of 87.5 m3/s. (d) Discharge of 94.4 m3/s. (e) Discharge of 106.9 m3/s. (f) Discharge of 125.8 m3/s.

Figure 6

CSI distribution of the study reach under different discharges. (a) Discharge of 62.9 m3/s. (b) Discharge of 75.5 m3/s. (c) Discharge of 87.5 m3/s. (d) Discharge of 94.4 m3/s. (e) Discharge of 106.9 m3/s. (f) Discharge of 125.8 m3/s.

Close modal

Effective habitat area

To further obtain the change law of effective spawning habitat area, the weighted used areas being suitable for native fish spawning were calculated under different discharges. The Yehuxia spawning ground is divided into parts: the spawning ground upstream and downstream. The spawning ground of Yehuxia downstream becomes the concentrated spawning ground of native fish due to favorable current conditions. The weighted used areas of the study reach and the concentrated spawning reach were achieved under different discharges, as shown in Table 8. Based on the results, the trends of effective habitat areas of both the entire study reach and the concentrated spawning reach in spawning periods under different discharges are shown in Figure 7.
Table 8

WUA of native fish in the study area in the spawning periods

Discharge (m3/s)WUA (m²)
Discharge (m3/s)WUA (m²)
Concentrated spawning reachStudy reachConcentrated spawning reachStudy reach
62.9 172298.524 190778.787 377.4 241436.952 289484.484 
75.5 205203.479 228152.155 424.0 250023.551 300262.386 
87.5 235618.487 262836.598 503.2 264601.299 322659.074 
88.1 238219.931 265645.613 527.0 251392.181 308168.158 
94.4 239097.771 268611.979 629.0 212664.332 260676.295 
106.9 241010.275 274832.225 943.5 139022.662 170405.064 
125.8 239258.200 272251.235 1258 113212.621 138760.886 
251.6 233042.334 265170.147 377.4 241436.952 289484.484 
Discharge (m3/s)WUA (m²)
Discharge (m3/s)WUA (m²)
Concentrated spawning reachStudy reachConcentrated spawning reachStudy reach
62.9 172298.524 190778.787 377.4 241436.952 289484.484 
75.5 205203.479 228152.155 424.0 250023.551 300262.386 
87.5 235618.487 262836.598 503.2 264601.299 322659.074 
88.1 238219.931 265645.613 527.0 251392.181 308168.158 
94.4 239097.771 268611.979 629.0 212664.332 260676.295 
106.9 241010.275 274832.225 943.5 139022.662 170405.064 
125.8 239258.200 272251.235 1258 113212.621 138760.886 
251.6 233042.334 265170.147 377.4 241436.952 289484.484 
Figure 7

Trends of effective habitat area under different discharges in the spawning periods.

Figure 7

Trends of effective habitat area under different discharges in the spawning periods.

Close modal

As can be seen from Table 8 and Figure 7, at low discharge, effective habitat areas both in the concentrated spawning reach and the entire study reach began to increase with the increase of discharge. When the discharge increased to a certain value, effective habitat areas decreased to some extent with the continuous increase of the discharge. Then, it began to increase again and showed a decreasing trend after reaching the maximum values as the discharge further increased. Combined with hydraulic parameters of several sections obtained by the hydraulic method, it was found that the reason for this phenomenon was the existence of some pools and riffles in the study reach, affecting the flow conditions. Thus, it was indicated that pool and riffle had a certain impact on fish habitat. Table 8 shows that when the discharge was 503.2 m3/s, the effective habitat area (WUA) suitable for spawning and breeding of native fish has reached its maximum, which was 322,659.074 m2 in the study reach and 264,601.299 m2 in the concentrated spawning reach, respectively. It showed that the physical habitat of river is very suitable for fish spawning under this discharge.

Meanwhile, according to the results in Table 8, the percentages of effective habitat areas under different discharges were calculated based on the maximum effective habitat area. It can be seen from Figure 7 that when the discharge was 87.5–629 m3/s, the effective habitat area of the whole study reach accounted for more than 80% of the maximum. In which, the effective habitat area of the concentrated spawning reach also reached more than 90% when the discharge was 87.5–139 and 338–562.5 m3/s, which put the spawning and breeding habitat of native fish in a better state.

To realize the sustainable development of river ecosystems, the exploitation of hydropower resources should take into account water ecological protection and include reasonable planning. In this paper, for the proposed C hydropower stations of the Upper Yellow River, the 2D shallow water model and ecological flow calculation methods combined with Tennant, hydraulics method, and habitat suitability model were applied to focus on the impact of hydropower development on the survival and reproduction of native fish in the study reach. The habitat conditions of the reach considering fish survival during non-spawning periods and effective habitat areas of native fish during spawning periods under different discharges were analyzed. Through detailed analysis, the following conclusions can be drawn:

  • I.

    Based on the standards of cross-sectional habitat conditions obtained from field surveys that meet the survival requirements for native fish, the ecological flow downstream of C hydropower station should be greater than 75.5 m3/s to be suitable for native fish survival during non-spawning periods.

  • II.

    Under the proposed discharges, the effective spawning habitats of native fish are mainly concentrated in the reach close to the dam site and the downstream reach of Yehuxia Gorge. The trends of the weighted used areas of the study reach and the concentrated spawning reach were consistent and showed double peaks with the increase of the discharge. Combined with the hydraulic parameters of several sections obtained by the hydraulic method, it was found that this was due to the wide and shallow river, and the existence of some pools and riffles, which affect the flow conditions.

  • III.

    The effective habitat area of the entire study reach accounting for more than 80% of the maximum at the discharge was 87.5–629 m3/s, while the effective habitat area of the concentrated spawning reach even exceeded 90% when the discharge was 87.5–139 and 338–562.5 m3/s, fish habitat can maintain a better state under these conditions.

To sum up, the ecological flow downstream of C hydropower station should be greater than 87.5 m3/s to be suitable for the breeding and survival of native fish in whole life stages. Thus, it is suggested that the suitable minimum ecological flow was 87.5 m3/s to construct and develop the eco-friendly hydropower projects, and to take into account the health and sustainable development of water ecology while meeting human needs. This result not only provides basic data for the optimal operation of C hydropower station based on ecological response but also has important ecological significance for the protection of native fish habitat in the Yellow River Basin.

This work is partly supported by the Numerical Simulation of Flood Process in Urban Areas with Fine Terrain and Lack of Pipe Network Data (Grant No. 52079106); Chinesisch – Deutsches Mobilit taprogramm: High-Resolution Numerical Simulating and Predicting Methods for Urban Floods (Grant No. M-0427); High-Resolution Numerical Simulation of Sediment Carrying Capacity Mechanism and Erosion Process of Over surface Flow on Whole Sand Slope (Grant No. 52009104); Key R&D program of Shaan Province, China (Grant No. 2021SF-484).

Conceptualization and Methodology: L.Y., J.H., Y.T.; Software: L.Y., J.H.; Validation: L.Y., Y.T., P.W., C.S.; Formal analysis: L.Y., J.H., P.W., L.C.; Investigation: Y.L., J.L., S.X.; Data Curation: P.W., L.C., C.S.; Writing – original draft, Writing – review and editing: L.Y., J.H., Y.T.; Funding acquisition: J.H.

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

The authors declare there is no conflict.

Ahmadi-Nedushan
B.
,
St-Hilaire
A.
,
Bérubé
M.
,
Robichaud
L.
&
Bobée
B.
2010
A review of statistical methods for the evaluation of aquatic habitat suitability for instream flow assessment
.
River Research and Applications
22
(
5
),
503
523
.
https://doi.org/10.1002/rra.918
.
Anderson
D.
,
Moggridge
H.
,
Shucksmith
J. D.
&
Warren
P. H.
2017
Quantifying the impact of water abstraction for low head ‘run of the river’ hydropower on localized river channel hydraulics and benthic macroinvertebrates
.
River Research and Applications
33
(
2
),
202
213
.
https://doi.org/10.1002/rra.2992
.
Arthington
A. H.
,
Anik
B.
,
Bunn
S. E.
,
Jackson
S. E.
,
Tharme
R. E.
,
Dave
T.
,
Bill
Y.
,
Mike
A.
,
Natalie
B.
&
Samantha
C.
2018
The Brisbane declaration and global action agenda on environmental flows (2018)
.
Frontiers in Environmental Science
6
,
1
15
.
https://doi.org/10.3389/fenvs.2018.00045
.
Bednarek
A. T.
2001
Undamming rivers: a review of the ecological impacts of dam removal
.
Environmental Management
27
(
6
),
803
814
.
https://doi.org/10.1007/s002670010189
.
Bussettini
M.
&
Vezza
P.
2019
Guidance on Environmental Flows – Integrating E-Flow Science with Fluvial Geomorphology to Maintain Ecosystem Services
.
WMO-No. 1235. World Meteorological Organization (WMO): Geneva, Switzerland, pp. 1–52
.
Caissie
D.
&
El-Jabi
N.
2003
Instream flow assessment: from holistic approaches to habitat modelling
.
Canadian Water Resources Journal
28
(
2
),
173
183
.
https://doi.org/10.4296/cwrj2802173
.
Dunbar
M. J.
,
Gustard
A.
,
Acreman
M. C.
,
Elliott
C.
&
House
R.
1997
Review of overseas approaches to setting river flow objectives
.
Environment Agency R&D Technical Report W6B(96)4
Institute of Hydrology, Wallingford, UK
.
Dunbar
M. J. A.
,
Gustard
M. C.
&
Acreman
C.
1998
Overseas approaches to setting river flow objectives
.
Environment Agency, Swindon, UK
.
Gǎlie
A. C.
,
Mǎtreǎt
M.
,
Tǎnase
I.
&
Rǎdulescu
D.
2021
The Romanian ecological flow method, RoEflow, developed in line with the EU water framework directive
.
Concept and Case Studies Sustainability
13
(
13
),
7378
.
https://doi.org/10.3390/su13137378
.
Gates
K. K.
,
Vaughn
C. C.
&
Julian
J. P.
2015
Developing environmental flow recommendations for freshwater mussels using the biological traits of species guilds
.
Freshwater Biology
60
(
4
),
620
635
.
https://doi.org/10.1111/fwb.12528
.
Homsi
R.
,
Shiru
M. S.
,
Shahid
S.
,
Ismail
T.
,
Harun
S. B.
,
Al-Ansari
N.
,
Chau
K.-W.
&
Yaseen
Z. M.
2020
Precipitation projection using a CMIP5 GCM ensemble model: a regional investigation of Syria
.
Engineering Applications of Computational Fluid
14
,
90
106
.
https://doi.org/10.1080/19942060.2019.1683076
.
Hou
J.
,
Liang
Q.
,
Zhang
H.
&
Hinkelmannet
R.
2014
Multislope MUSCL method applied to solve shallow water equations
.
Computers & Mathematics with Applications
68
(
12
),
2012
2027
.
https://doi.org/10.1016/j.camwa.2014.09.018
.
Hough
I.
,
Moggridge
H.
,
Warren
P.
&
Shucksmith
J.
2022
Regional flow–ecology relationships in small, temperate rivers
.
Water and Environment Journal
36
(1),
142
160
.
https://doi.org/10.1111/wej.12757
.
Hughes
D. A.
&
Hannart
P.
2003
A desktop model used to provide an initial estimate of the ecological instream flow requirements of rivers in South Africa
.
Journal of Hydrology
270
,
167
181
.
https://doi.org/10.1016/S0022-1694(02)00290-1
.
Jowett
I. G.
1997
Instream flow methods: a comparison of approaches
.
Regulated Rivers: Research & Management
13
(
2
),
115
127
.
https://doi.org/10.1002/(SICI)1099-1646(199703)13:23.0.CO;2-6
.
Li
L.
&
Xu
Z. X.
2012
Development and application of software to estimate ecological baseflow based on Visual Basic 6.0
.
Bulletin of Soil and Water Conservation
32
(
03
),
145
149
(in Chinese). https://doi.org/10.13961/j.cnki.stbctb.2012.03.022
.
Li
J. P.
,
Dong
S. K.
,
Liu
S. L.
,
Yang
Z. F.
,
Peng
M. C.
&
Zhao
C.
2013
Effects of cascading hydropower dams on the composition, biomass and biological integrity of phytoplankton assemblages in the middle Lancang-Mekong River
.
Ecological Engineering
60
,
316
324
.
https://doi.org/10.1016/j.ecoleng.2013.07.029
.
Liang
Q.
&
Borthwick
A. G. L.
2009
Adaptive quadtree simulation of shallow flows with wet–dry fronts over complex topography
.
Computers & Fluids
38
(
2
),
221
234
.
https://doi.org/10.1016/j.compfluid.2008.02.008
.
Lucinda
J.
,
Report
A.
,
United
T.
,
World
N.
,
Development
W.
,
Year
S. W.
&
Educational
U. N.
2016
The United Nations World Water Development Report 2015: water for a sustainable world
.
Future of Food - Journal on Food, Agriculture and Society
4
(
2
),
64
65
.
Ma
B.
,
Dong
F.
,
Peng
W. Q.
,
Liu
X. B.
,
Huang
A. P.
&
Zhang
X. H.
2020
Evaluation of impact of spur dike designs on enhancement of aquatic habitats in urban streams using 2D habitat numerical simulations
.
Global Ecology and Conservation
24
,
e01288
.
https://doi.org/10.1016/j.gecco.2020.e01288
.
McDonough
K.
,
Casteel
K.
,
Zoller
A.
,
Wehmeyer
H.
,
Huzbelos
E.
,
Rila
J.-P.
,
Salvito
D.
&
Federle
T.
2017
Probabilistic determination of the ecological risk from OTNE in aquatic and terrestrial compartments based on US-wide monitoring data
.
Chemosphere
167
,
255
261
.
https://doi.org/10.1016/j.chemosphere.2016.10.006
.
Mezger
G.
,
González del Tánago
M.
&
De Stefano
L.
2021
Environmental flows and the mitigation of hydrological alteration downstream from dams: the Spanish case
.
Journal of Hydrology
598
(
0–2
),
125732
.
https://doi.org/10.1016/j.jhydrol.2020.125732
.
Noack
M.
,
Schneider
M.
&
Wieprecht
S
.
2013
The habitat modelling system CASiMiR: a multivariate fuzzy-approach and its applications
. In
Ecohydraulics: An Integrated Approach
(I. Maddock, A. Harby, P. Kemp & P. J. Wood, eds.)
John Wiley & Sons
,
Hoboken, NJ
, pp.
75
91
.
Ostad-Ali-Askari
K.
,
Kharazi
H. G.
,
Shayannejad
M.
&
Zareian
M. J.
2019
Effect of management strategies on reducing negative impacts of climate change on water resources of the Isfahan-Borkhar aquifer using MODFLOW
.
River Research and Applications
35
,
611
631
.
https://doi.org/10.1002/rra.3463
.
Pastor
A. V.
,
Ludwig
F.
,
Biemans
H.
,
Hoff
H.
&
Kabat
P.
2014
Accounting for environmental flow requirements in global water assessments
.
Hydrology and Earth System Sciences
18
,
5041
5059
.
https://doi.org/10.5194/hess-18-5041-2014
.
Poff
N. L. R.
&
Matthews
J. H.
2013
Environmental flows in the Anthropocence: past progress and future prospects
.
Current Opinion in Environment Sustainability
5
,
667
675
.
https://doi.org/10.1016/j.cosust.2013.11.006
.
Qiu
X.
&
Hu
J.
2018
Research on ecological water rights violations and protection systems in the lower reaches of the Yellow River
.
Journal of Service Science and Management
11
(
2
),
182
202
.
https://doi.org/10.4236/jssm.2018.112014
.
Salik
K. M.
,
Hashmi
M. Z. u. R.
,
Ishfaq
S.
&
Zahdi
W. u. Z.
2016
Environmental flow requirements and impacts of climate change-induced river flow changes on ecology of the Indus Delta, Pakistan
.
Regional Studies in Marine Science
7
,
185
195
.
https://doi.org/10.1016/j.rsma.2016.06.008
.
Shamshirband
S.
,
Nodoushan
E. J.
,
Adolf
J. E.
,
Manaf
A. A.
,
Mosavi
A.
&
Chau
K.
2019
Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters
.
Engineering Applications of Computational Fluid
13
,
91
101
.
https://10.1080/19942060.2018.1553742
.
Tharme
R. E.
1997
Review of IFR Methodologies. In Task 1 Report: IFR Methodology and Parameters, Consulting Services for the Establishment and Monitoring of the Instream Flow Requirements for River Courses Downstream of LHWP Dams. Metsi Consultants, Lesotho High-Lands Water Project
.
Report No. 648 ± 02
.
Lesotho Highlands Development Authority
:
Lesotho
.
Wu
H.
,
Shi
P.
,
Qu
S.
,
Zhang
H.
&
Ye
T.
2022
Establishment of watershed ecological water requirements framework: a case study of the Lower Yellow River, China
.
Science of the Total Environment
820
,
153205
.
https://doi.org/10.1016/j.scitotenv.2022.153205
.
Yan
M.
,
Fang
G.
,
Dai
L.
,
Tan
Q.
&
Huang
X.
2021
Optimizing reservoir operation considering downstream ecological demands of water quantity and fluctuation based on IHA parameters
.
Journal of Hydrology
600
,
126647
.
https://doi.org/10.1016/j.jhydrol.2021.126647
.
Yang
L.
,
Hou
J.
,
Cheng
L.
,
Wang
P.
,
Pan
Z.
,
Wang
T.
,
Ma
Y.
,
Xujun
G.
,
Jixin
S.
&
Liu
N.
2021
Application of habitat suitability model coupling with high-precision hydrodynamic processes
.
Ecological Modelling
2021
,
462
.
https://doi.org/10.1016/j.ecolmodel.2021.109792
.
Yi
Y.
,
Tang
C.
,
Yang
Z.
&
Chen
X.
2014
Influence of Manwan Reservoir on fish habitat in the middle reach of the Lancang River
.
Ecological Engineering
69
,
106
117
.
https://doi.org/10.1016/j.ecoleng.2014.03.026
.
Yu
L.
,
Wu
X.
,
Wu
S.
,
Jia
B.
&
Zhou
Z.
2021
Multi-objective optimal operation of cascade hydropower plants considering ecological flow under different ecological conditions
.
Journal of Hydrology
2021
(
6
),
126599
.
https://doi.org/10.1016/j.jhydrol.2021.126599
.
Zhang
H. X.
,
Chang
J. X.
,
Gao
C.
,
Wu
H.
,
Wang
Y.
,
Lei
K.
,
Long
R.
&
Zhang
L.
2019
Cascade hydropower plants operation considering comprehensive ecological water demands
.
Energy Conversion and Management
180
,
119
133
.
https://doi.org/10.1016/j.enconman.2018.10.072
.
Zhao
C. P.
,
Huang
Y. H.
,
Li
Z. H.
&
Chen
M. X.
2018
Drought monitoring of southwestern China using insufficient GRACE data for the long-term mean reference frame under global change
.
Journal of Climate
31
,
6897
6911
.
https://10.1175/JCLI-D-17-0869.1
.
Zhao
C.
,
Yang
Y.
,
Yang
S.
,
Xiang
H.
,
Ge
Y.
,
Zhang
Z.
,
Zhao
Y.
&
Yu
Q.
2020
Effects of spatial variation in water quality and hydrological factors on environmental flows
.
Science of the Total Environment
728
,
138695
.
https://doi.org/10.1016/j.scitotenv.2020.138695
.
Zou
T. F.
&
Wang
Z. Y.
2007
Discussion on problems and countermeasures in the development and construction of small hydropower in China
.
China Rural Water Hydropower
(
02
),
82
84
.
https://doi.org/10.3969/j.issn.1007-2284.2007.02.029
.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY-NC-ND 4.0), which permits copying and redistribution for non-commercial purposes with no derivatives, provided the original work is properly cited (http://creativecommons.org/licenses/by-nc-nd/4.0/).