Surface runoff estimation of Sind river basin using integrated SCS-CN and GIS techniques

Rainfall and runoff are the significant hydrologic component in the water resources assessment. Numerous methods are available to estimate runoff from rainfall; however, the SCS-CN method remains the most popular and frequently used method as runoff curve number (CN) is a crucial factor of the SCS-C...

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Autores principales:	Abanish Kumar, Shruti Kanga, Ajay Kumar Taloor, Suraj Kumar Singh, Bojan Đurin
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2021
Materias:	Rainfall Runoff GIS technology SCS-CN method Curve number Water supply for domestic and industrial purposes TD201-500
Acceso en línea:	https://doaj.org/article/6960b2a9192a40e4adfd86814a2114b9
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id	oai:doaj.org-article:6960b2a9192a40e4adfd86814a2114b9
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spelling	oai:doaj.org-article:6960b2a9192a40e4adfd86814a2114b92021-11-20T05:12:38ZSurface runoff estimation of Sind river basin using integrated SCS-CN and GIS techniques2589-757810.1016/j.hydres.2021.08.001https://doaj.org/article/6960b2a9192a40e4adfd86814a2114b92021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S258975782100010Xhttps://doaj.org/toc/2589-7578Rainfall and runoff are the significant hydrologic component in the water resources assessment. Numerous methods are available to estimate runoff from rainfall; however, the SCS-CN method remains the most popular and frequently used method as runoff curve number (CN) is a crucial factor of the SCS-CN method and depends on land use/land cover (LULC), soil type, and antecedent soil moisture (AMC). Besides this, various parameters, such as Hydrological Soil Characteristics (HSG), precipitation (P), Potential Maximum Retention (PMR), Antecedent Moisture Condition (AMC), Weighted Curve Number (WCN), are the mandatory inputs to the SCS-CN model. In the results, the daily runoff from the Sind river basin for ten years, i.e., 2005 to 2014, has been used. As a result, the average annual surface runoff calculated for the Sind river basin is 133.71 mm. The total average volume of runoff is 35.04 × 10 8 m 3, representing 17.21% of the total average annual rainfall.Abanish KumarShruti KangaAjay Kumar TaloorSuraj Kumar SinghBojan ĐurinKeAi Communications Co., Ltd.articleRainfallRunoffGIS technologySCS-CN methodCurve numberWater supply for domestic and industrial purposesTD201-500ENHydroResearch, Vol 4, Iss , Pp 61-74 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Rainfall Runoff GIS technology SCS-CN method Curve number Water supply for domestic and industrial purposes TD201-500
spellingShingle	Rainfall Runoff GIS technology SCS-CN method Curve number Water supply for domestic and industrial purposes TD201-500 Abanish Kumar Shruti Kanga Ajay Kumar Taloor Suraj Kumar Singh Bojan Đurin Surface runoff estimation of Sind river basin using integrated SCS-CN and GIS techniques
description	Rainfall and runoff are the significant hydrologic component in the water resources assessment. Numerous methods are available to estimate runoff from rainfall; however, the SCS-CN method remains the most popular and frequently used method as runoff curve number (CN) is a crucial factor of the SCS-CN method and depends on land use/land cover (LULC), soil type, and antecedent soil moisture (AMC). Besides this, various parameters, such as Hydrological Soil Characteristics (HSG), precipitation (P), Potential Maximum Retention (PMR), Antecedent Moisture Condition (AMC), Weighted Curve Number (WCN), are the mandatory inputs to the SCS-CN model. In the results, the daily runoff from the Sind river basin for ten years, i.e., 2005 to 2014, has been used. As a result, the average annual surface runoff calculated for the Sind river basin is 133.71 mm. The total average volume of runoff is 35.04 × 10 8 m 3, representing 17.21% of the total average annual rainfall.
format	article
author	Abanish Kumar Shruti Kanga Ajay Kumar Taloor Suraj Kumar Singh Bojan Đurin
author_facet	Abanish Kumar Shruti Kanga Ajay Kumar Taloor Suraj Kumar Singh Bojan Đurin
author_sort	Abanish Kumar
title	Surface runoff estimation of Sind river basin using integrated SCS-CN and GIS techniques
title_short	Surface runoff estimation of Sind river basin using integrated SCS-CN and GIS techniques
title_full	Surface runoff estimation of Sind river basin using integrated SCS-CN and GIS techniques
title_fullStr	Surface runoff estimation of Sind river basin using integrated SCS-CN and GIS techniques
title_full_unstemmed	Surface runoff estimation of Sind river basin using integrated SCS-CN and GIS techniques
title_sort	surface runoff estimation of sind river basin using integrated scs-cn and gis techniques
publisher	KeAi Communications Co., Ltd.
publishDate	2021
url	https://doaj.org/article/6960b2a9192a40e4adfd86814a2114b9
work_keys_str_mv	AT abanishkumar surfacerunoffestimationofsindriverbasinusingintegratedscscnandgistechniques AT shrutikanga surfacerunoffestimationofsindriverbasinusingintegratedscscnandgistechniques AT ajaykumartaloor surfacerunoffestimationofsindriverbasinusingintegratedscscnandgistechniques AT surajkumarsingh surfacerunoffestimationofsindriverbasinusingintegratedscscnandgistechniques AT bojanđurin surfacerunoffestimationofsindriverbasinusingintegratedscscnandgistechniques
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Surface runoff estimation of Sind river basin using integrated SCS-CN and GIS techniques

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