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A revisit of NRCS-CN inspired models coupled with RS and GIS for runoff estimation
Authors:S Verma  S K Mishra  A Singh  G K Jayaraj
Institution:1. Environmental Engineering and Management Group, National Institute of Industrial Engineering, Mumbai, Maharashtra, India;2. Water Resource Development and Management, Indian Institute of Technology, Roorkee, Uttarakhand, India;3. Department of Civil Engineering, Yasgoankar Institute of Engineering &4. Technology, Karjat Maharashtra, India
Abstract:The Natural Resource Conservation Service – Curve Number (NRCS-CN) methodology is a widely used tool for estimating surface runoff, which is of prime importance in hydrological engineering, agricultural planning and management, environmental impact assessment, flood forecasting, and others fields. This article reviews the methodology and associated hydrological models used for runoff estimation along with their advantages and limitations. Furthermore, discussion focuses on the potential applications of Remote Sensing (RS) and Geographical Information System (GIS) techniques for estimating hydrological variables, such as rainfall, soil moisture and CN required for the NRCS-CN methodology, as well as future research and opportunities for improved runoff estimation at the macro scale.
EDITOR D. Koutsoyiannis

ASSOCIATE EDITOR A. Efstratiadis
Keywords:curve number  surface runoff  hydrological model  remote sensing  geographical information system
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