Evaluation of the SWAT Model for Analysing the Water Balance Components for the Upper Sabarmati Basin

Gupta, Ankit; Himanshu, Sushil Kumar; Gupta, Shivam; Singh, Raghvendra Pratap

doi:10.1007/978-981-13-8181-2_11

Cited by 18 publications

(12 citation statements)

References 25 publications

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“…Moreover, Pathak et al assessed the applicability of the Lumped Zhang model and InVEST model, together with the SWAT model, to compute water yield in scenarios before and after climate change for 1980, 1990, 2001, and 2015 [90]. Gupta et al [18] estimated the water-balance components in the Sabarmati River Basin (SRB) in India using the SWAT model, from 1999 to 2005. Gupta et al noted that SWAT is a powerful tool that very effectively evaluated hydrological components in the study of the water balance and river flow of the SRB [18].…”

Section: Discussionmentioning

confidence: 99%

“…Adeogun et al noted that the SWAT model could be a promising tool for predicting water balance and water output for sustainable water management in Nigeria [17]. Gupta et al noted that SWAT is a powerful tool that very effectively evaluated the hydrological components in a study of water balance and river flow in the Sabarmati River Basin in India [18]. Goswami et al used the SWAT model and CFSR datasets from 1984 to 2013 in the Narmada River Basin in India and suggested that the SWAT model was able to simulate the water balance components at the basin and sub-basin scales [19].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the CRU TS3.1, APHRODITE_V1101, and CFSR Datasets in Assessing Water Balance Components in the Upper Vakhsh River Basin in Central Asia

et al. 2021

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In this study, the applicability of three gridded datasets was evaluated (Climatic Research Unit (CRU) Time Series (TS) 3.1, “Asian Precipitation—Highly Resolved Observational Data Integration Toward the Evaluation of Water Resources” (APHRODITE)_V1101, and the climate forecast system reanalysis dataset (CFSR)) in different combinations against observational data for predicting the hydrology of the Upper Vakhsh River Basin (UVRB) in Central Asia. Water balance components were computed, the results calibrated with the SUFI-2 approach using the calibration of soil and water assessment tool models (SWAT–CUP) program, and the performance of the model was evaluated. Streamflow simulation using the SWAT model in the UVRB was more sensitive to five parameters (ALPHA_BF, SOL_BD, CN2, CH_K2, and RCHRG_DP). The simulation for calibration, validation, and overall scales showed an acceptable correlation between the observed and simulated monthly streamflow for all combination datasets. The coefficient of determination (R2) and Nash–Sutcliffe efficiency (NSE) showed “excellent” and “good” values for all datasets. Based on the R2 and NSE from the “excellent” down to “good” datasets, the values were 0.91 and 0.92 using the observational datasets, CRU TS3.1 (0.90 and 0.90), APHRODITE_V1101+CRU TS3.1 (0.74 and 0.76), APHRODITE_V1101+CFSR (0.72 and 0.78), and CFSR (0.67 and 0.74) for the overall scale (1982–2006). The mean annual evapotranspiration values from the UVRB were about 9.93% (APHRODITE_V1101+CFSR), 25.52% (APHRODITE_V1101+CRU TS3.1), 2.9% (CFSR), 21.08% (CRU TS3.1), and 27.28% (observational datasets) of annual precipitation (186.3 mm, 315.7 mm, 72.1 mm, 256.4 mm, and 299.7 mm, out of 1875.9 mm, 1236.9 mm, 2479 mm, 1215.9 mm, and 1098.5 mm). The contributions of the snowmelt to annual runoff were about 81.06% (APHRODITE_V1101+CFSR), 63.12% (APHRODITE_V1101+CRU TS3.1), 82.79% (CFSR), 81.66% (CRU TS3.1), and 67.67% (observational datasets), and the contributions of rain to the annual flow were about 18.94%, 36.88%, 17.21%, 18.34%, and 32.33%, respectively, for the overall scale. We found that gridded climate datasets can be used as an alternative source for hydrological modeling in the Upper Vakhsh River Basin in Central Asia, especially in scarce-observation regions. Water balance components, simulated by the SWAT model, provided a baseline understanding of the hydrological processes through which water management issues can be dealt with in the basin.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of the CRU TS3.1, APHRODITE_V1101, and CFSR Datasets in Assessing Water Balance Components in the Upper Vakhsh River Basin in Central Asia

et al. 2021

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“…The SWAT model is one of these hydrological models that is presented to simulate the effects of land management activities on water resources and sediment. This model is a physical distribution model that obtains specific information on air, soil, topography, vegetation, and land cover in the watershed, rather than using regression equations to describe the relationship of input and output variables 17 . The SWAT model divides the watershed into sub‐basins, each of which is considered as a separate unit.…”

Section: Methodsmentioning

confidence: 99%

“…This model is a physical distribution model that obtains specific information on air, soil, topography, vegetation, and land cover in the watershed, rather than using regression equations to describe the relationship of input and output variables. 17 The SWAT model divides the watershed into sub-basins, each of which is considered as a separate unit. These sub-basins are subdivided into smaller sections called hydrological response units, which is derived from a combination of topography, land use, and soil maps.…”

Section: Swat Modelmentioning

confidence: 99%

Evaluating climate changes and land use changes on water resources using hybrid Soil and Water Assessment Tool‐DEEP optimized by metaheuristics

Liu

Mizzi

2020

Concurrency and Computation

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The objective of this research is to investigate the effect of land-use and climate change on the volume of runoff produced and its impact on water resources. It is clear that the more accurate the assessment of runoff in the future, the better the evaluation of the impact of land-use and climate changes on water resources. Thus, to more accurately predict water sources in the future, runoff is estimated using two Soil and Water Assessment Tool (SWAT) and SWAT-DEEP-IFSO models. The results showed that the SWAT-DEEP-IFSO model has a better estimation than the SWAT method. Because Deep Belief Network and an improved optimization algorithm called Improved Fluid Search Optimization (IFSO) algorithm have been utilized in optimizing the hybrid SWAT model that can reduce the error of runoff simulation. After selecting the best model for estimating runoff, the effect of land-use and climate change is evaluated using different scenarios. Results show that the simulated runoff under the influence of climate and land-use changes can impact on the average yearly and monthly runoff. These factors have a significant effect on the average yearly runoff changes and are predicted an increasing trend for average yearly runoff. But climate and land-use changes have a different impact on the different months and for some months of the year the runoff has an increasing trend and for some months the runoff has a decreasing trend. Based on land-use scenarios, it is found that due to the decrease in rangelands and increase in agricultural lands, there is a possibility of severe floods and drought periods in the region, which reduces the water resources of the study area. K E Y W O R D S deep belief network, fluid search optimization algorithm, runoff, soil and water assessment tool, water resource 1 INTRODUCTION Today, all climate scientists agree that global warming causes important climatic phenomena and due to climate changes, the probability of heavy rainfall and flood risk has been increased. 1 Global warming dramatically affects rainfall characteristics, soil moisture, water levels of the seas and oceans, and airflow patterns. Also, it can cause severe floods and storms and reduce glaciers. Reducing snowfall and rain and increasing drought, thereby increasing soil salinity and reducing freshwater resources in coastal areas can be another result of global warming. 2 One of the effects of climate change can be seen in renewables resources such as water resources which have different impacts from point-to-point. This effect of

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“…We employed two models to study hydrological ecosystem services of the rangelands under study. The Soil and Water Assessment Tool (SWAT) (Arnold et al, 2012) models the system's hydrology and water balance components (Wang et al, 2019;Gupta et al, 2020).…”

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confidence: 99%

Examining the impact of rangeland condition on water conservation by using an integrated modelling approach

et al. 2020

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Rangelands in the arid and semi-arid regions of Iran are under pressure from frequent degradations and extreme climate conditions, which have affected water conservation and delivery of ecosystem services. The timely and efficient assessment of rangeland state/condition impact on water conservation is crucial in rangeland management. This work represents an integrated modelling approach by linking the Soil and Water Assessment Tool (SWAT) and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) models. SWAT simulated hydrologic components, while InVEST provided a decision support system for water conservation. The coupled SWAT-InVEST model was used to analyze the impact of different rangeland conditions on water conservation in the Atrak River basin in Iran's arid and semi-arid climatic zones. Increasing runoff is proportional to rangeland degradation. Our analysesshow a severe degradation of rangelands in Iran. We found that the basin's average runoff varies between 2 and 294.8 m 3 ha -1 yr -1 . Based on our modelling results, about 50% of the basin's runoff came from poor rangelands, 22% from moderate rangelands, and 28% from good rangelands. Thus, a significant impact on water conservation could be achieved through rangeland management in this basin. The SWAT-InVEST integrated modelling approach developed here proved useful for better decision-making under uncertainty.

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Evaluation of the SWAT Model for Analysing the Water Balance Components for the Upper Sabarmati Basin

Cited by 18 publications

References 25 publications

Evaluation of the CRU TS3.1, APHRODITE_V1101, and CFSR Datasets in Assessing Water Balance Components in the Upper Vakhsh River Basin in Central Asia

Evaluation of the CRU TS3.1, APHRODITE_V1101, and CFSR Datasets in Assessing Water Balance Components in the Upper Vakhsh River Basin in Central Asia

Evaluating climate changes and land use changes on water resources using hybrid Soil and Water Assessment Tool‐DEEP optimized by metaheuristics

Examining the impact of rangeland condition on water conservation by using an integrated modelling approach

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