Soil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives

Soil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives

Probably, the most well-documented, and at the same time, simple conceptual method for predicting runoff depth from rainfall depth is the Soil Conservation Service curve number (SCS-CN) method. This Special Issue presents the latest developments in the SCS-CN methodology, including, but not limited...

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Bibliographic Details
Other Authors: Soulis, Konstantinos X. (Editor)
Format: Book Chapter
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Research & information: general
SCS
initial abstraction ratio
curve number
bootstrap
rainfall-runoff model
Curve Number
direct runoff
SCS-CN method
small catchment
storm duration
soil moisture
slope
Soil Conservation Service Curve Number method
runoff prediction
runoff
SCS-CN
NRCS-CN
earth observation
LUCC
wildfire
urbanization
design hydrograph
EBA4SUB
mountainous catchments
rainfall-runoff models
ungauged catchments
initial abstraction coefficient
slope-adjusted curve number
rainfall
precise runoff
model accuracy
HEC-HMS
rainfall-runoff modelling
Jeju Island
initial abstraction
maximum potential retention
antecedent moisture condition
n/a
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Summary:Probably, the most well-documented, and at the same time, simple conceptual method for predicting runoff depth from rainfall depth is the Soil Conservation Service curve number (SCS-CN) method. This Special Issue presents the latest developments in the SCS-CN methodology, including, but not limited to, novel applications, theoretical and conceptual studies broadening the current understanding, studies extending the method's application in other geographical regions or other scientific fields, substantial evaluation studies, and ultimately, key advancements towards addressing the key remaining challenges, such as: improving the SCS-CN method runoff predictions without sacrificing its current level of simplicity; moving towards a unique generally accepted procedure for CN determination from rainfall-runoff data; improving the initial abstraction estimation; investigating the integration of SCS-CN method in long-term continuous hydrological models and the implementation of various soil moisture accounting systems; extending and adopting the existing CNs documentation in a broader range of regions, land uses and climatic conditions; and utilizing novel modeling, geoinformation systems, and remote sensing techniques to improve the performance and the efficiency of the method.
Physical Description:1 electronic resource (172 p.)
ISBN:books978-3-0365-0821-4
9783036508207
9783036508214
Access:Open Access

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