A revisit of NRCS-CN inspired models coupled with RS and GIS for runoff estimation. Issue 12 (10th September 2017)

• Record Type: Journal Article
• Authors: Verma, S.; Verma, R. K.; Mishra, S. K.; Singh, A.; Jayaraj, G. K.
• Is Part Of: Hydrological sciences journal. Volume 62:Issue 12(2017)
• Page Start: 1891
• Page End: 1930
• Publication Date: 2017-09-10
• Subjects: curve number -- surface runoff -- hydrological model -- remote sensing -- geographical information system; Hydrology -- Periodicals; 551.4805
• DOI: 10.1080/02626667.2017.1334166
• Languages: English
• ISSNs: 0262-6667

Abstract

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