Publication | Closed Access
A revisit of NRCS-CN inspired models coupled with RS and GIS for runoff estimation
94
Citations
225
References
2017
Year
EngineeringGeographical Information SystemHydrologic EngineeringLand DegradationEarth ScienceCatchment ScaleSoil MoistureHydrological ModelingHydrometeorologyHydrogeologySurface RunoffGeographyRunoff EstimationHydrologyWater BalanceHydrologic Remote SensingWater ResourcesCivil EngineeringSurface-water HydrologyNrcs-cn Inspired ModelsRemote SensingHydrological ScienceFlood Risk Management
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. KoutsoyiannisASSOCIATE EDITOR A. Efstratiadis
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