Water footprint analysis for the upper Baitarani River basin, India

被引:5
|
作者
Chintalacheruvu, Madhusudana Rao [1 ]
Bardhan, Avijit [1 ]
Pingale, Santosh Murlidhar [2 ]
Patra, Jagadish Prasad [3 ]
机构
[1] Natl Inst Technol Jamshedpur, Dept Civil Engn, Jamshedpur 831014, Jharkhand, India
[2] Natl Inst Hydrol, Hydrol Invest Div, Roorkee 247667, Uttarakhand, India
[3] Natl Inst Hydrol, Surface Water Hydrol Div, Roorkee 247667, Uttarakhand, India
关键词
Water footprints (WFs); Upper Baitarani River Basin (UBRB); SWAT; SUFI-2; Climate change; GREEN; BLUE; RESOURCES; MODEL;
D O I
10.1007/s40899-022-00769-z
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The water footprints (WFs) or freshwater availability components such as blue water flow (water yield plus deep aquifer recharge), green water flow (actual evapotranspiration), and green water storage (soil moisture) at spatial (sub-basin) level with temporal (monthly) time-steps are assessed for the Upper Baitarani River Basin (UBRB) of India. This study uses the modeling framework of the Soil Water Assessment Tool (SWAT) and the Sequential Uncertainty Fitting version 2 (SUFI-2) in SWAT-Calibration and Uncertainty Programs (SWAT-CUP) for automatic calibration of the hydrological model. In addition, the climate change impacts on the monthly soil moisture levels in the (UBRB) were assessed using five general circulation models (GCMs) under representative concentration pathways (RCPs) 4.5 and 8.5 scenarios. Model performance was evaluated using several statistical parameters. For calibration (1991-2006), the coefficient of determination (R-2) was obtained as 0.86, and for validation (2007-2011) was 0.94. The Nash-Sutcliffe (NS) efficiency in the calibration was 0.85 and was obtained as 0.93 in the validation. The percentage bias (PBIAS) for calibration was - 11 and for the validation, the period was - 10.40. A good agreement among the simulated and observed data was found in both calibration and validation of the models. The average annual amount of water resources in the UBRB was 4749.59 million m(3), of which the blue water resources were 1691 million m(3), and the green water resources were 3058 million m(3). The results summarize the spatiotemporal distribution of blue and green water resources and provide comprehensive information on water availability status in the study region for better planning management.
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页数:13
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