Estimation of rainfall-induced surface runoff for the Assam region, India, using the GIS-based NRCS-CN method

被引：17

作者：

Gupta, Laxmi ^{[1
]}

Dixit, Jagabandhu ^{[1
]}

机构：

[1] Shiv Nadar Univ, Disaster Management Lab, Delhi NCR, Greater Noida, Uttar Pradesh, India

来源：

JOURNAL OF MAPS | 2022年

关键词：

Curve number; NRCS-CN method; runoff depth; Assam; GIS; CURVE NUMBER METHOD; WATERSHED RUNOFF; SYSTEM;

D O I：

10.1080/17445647.2022.2076624

中图分类号：

P9 [自然地理学]; K9 [地理];

学科分类号：

0705 ; 070501 ;

摘要：

The NRCS-CN method, integrated with GIS and remote sensing, can be used for estimating curve numbers (CN) and surface runoff in geohydrological systems. The study area is divided into 63 sub-basins, and the land use land cover (LULC)-hydrologic soil group (HSG) complex is identified for each sub-basin. The CN values for three antecedent soil moisture (AMC) conditions are calculated and corrected for surface slope variations. The surface runoff depth is determined using the rainfall data for 16 years (2005-2020). The average runoff depth and mean annual precipitation ranges from 444.50 to 1960.55 mm and 936.99 to 3520.55 mm, respectively. For all sub-basins, strong correlations between runoff depth and rainfall (R-2 >= 0.8) as well as between simulated runoff and measured runoff (R-2 >= 0.8) are observed. The Nash-Sutcliffe model efficiency coefficient (NSE) values suggest that the model's efficiency is good to satisfactory.

引用

页码：428 / 440

页数：13

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