2015
DOI: 10.1080/02626667.2014.934248
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An integrated water balance model for assessing water scarcity in a data-sparse interfluve in eastern India

Abstract: Abstract:The objective of this study is to measure the balance of water demand versus water resource availability in an interfluve of West Bengal, India to support water resource planning, particularly of inter-basin transfers. Surface water availability was modelled using the Soil Conservation Service Curve Number (SCS-CN) model, whilst groundwater availability was modelled based on water level fluctuations and the rainfall infiltration method. Water use was modelled separately for the agricultural, industria… Show more

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Cited by 14 publications
(4 citation statements)
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“…The hydrological modeling was applied for the seven watersheds of the study area, using the rainfall-runoff model of Soil Conservation Service-Curve Number (SCS-CN) [47]. SCS-CN hydrological model is well-known and widely used in many countries [49][50][51][52][53] and also in Greece [54][55][56][57][58][59][60]. The Curve Number (CN) is a dimensionless empirical parameter used for the estimation of runoff and infiltration from rainfall excess, and ranges from 30 to 100, with the highest values indicating higher runoff potential.…”
Section: Hydrological Modelingmentioning
confidence: 99%
“…The hydrological modeling was applied for the seven watersheds of the study area, using the rainfall-runoff model of Soil Conservation Service-Curve Number (SCS-CN) [47]. SCS-CN hydrological model is well-known and widely used in many countries [49][50][51][52][53] and also in Greece [54][55][56][57][58][59][60]. The Curve Number (CN) is a dimensionless empirical parameter used for the estimation of runoff and infiltration from rainfall excess, and ranges from 30 to 100, with the highest values indicating higher runoff potential.…”
Section: Hydrological Modelingmentioning
confidence: 99%
“…The flash flood of November 2019 was reconstructed using the rainfallrunoff model of Soil Conservation Service-Curve Number (SCS-CN) (SCS 1972). SCS-CN is a well-known and widely applied hydrological model in many countries (Mitra, Wright, Abhisek, & Ghosh, 2015;Rezaei-Sadr,-2017;Steenhuis, Winchell, Rossing, Zollweg, & Walters, 1995;Van Dijk, 2010;Verma, Verma, Mishra, Singh, & Jayaraj, 2017), as well as in method, base flow method, initial abstraction, CN, impervious area, lag time, etc.) were set as following: CN (loss method), SCS unit hydrograph (transform method) and no baseflow method (ephemeral streams) was applied.…”
Section: Hydrological Simulation Of November 2019 Flash Floodmentioning
confidence: 99%
“…The flash flood of November 2019 was reconstructed using the rainfallrunoff model of Soil Conservation Service-Curve Number (SCS-CN) (SCS 1972). SCS-CN is a well-known and widely applied hydrological model in many countries (Mitra, Wright, Abhisek, & Ghosh, 2015;Rezaei-Sadr,-2017;Steenhuis, Winchell, Rossing, Zollweg, & Walters, 1995;Van Dijk, 2010;Verma, Verma, Mishra, Singh, & Jayaraj, 2017), as well as in Greece (Kaffas & Hrissanthou, 2014;Kastridis & Stathis, 2012;Kastridis & Stathis, 2020;Myronidis et al, 2009;Nalbantis & Lymperopoulos, 2012;Papaioannou et al, 2018;Soulis, 2018;Soulis, Ntoulas, Nektarios, & Kargas, 2017;Soulis, Valiantzas, Dercas, & Londra, 2009;Stathis, Sapountzis, & Myronidis, 2010;Yannopoulos, Eleftheriadou, Mpouri, & Giannopoulou, 2015). The CN is a dimensionless empirical parameter that estimates runoff and infiltration from rainfall excess, and ranges from 30 to 100, with the highest numbers to indicate high runoff potential.…”
Section: Hydrological Simulation Of November 2019 Flash Floodmentioning
confidence: 99%
“…The lag time was defined by calculating the difference between the time of the precipitation peak and the time of the observed peak discharge at the outlet point of the watershed. To estimate the hydrographs of the two rainfalls (October 2006 and February 2010) in the Vatonias watershed, the SCS-CN model was used, a well-known and widely applied model in many countries [29][30][31][32][33] and in Greece [22,[34][35][36][37][38][39][40][41][42][43]. The CN is a dimensionless empirical parameter for predicting runoff and infiltration from rainfall excess [39].…”
Section: Hydrological Modelingmentioning
confidence: 99%