TY  - GEN
AU  - Soulis,Konstantinos X.
AU  - Soulis,Konstantinos X.
TI  - Soil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives
SN  - books978-3-0365-0821-4
PY  - 2021///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Research & information: general
KW  - bicssc
KW  - SCS
KW  - initial abstraction ratio
KW  - curve number
KW  - bootstrap
KW  - rainfall–runoff model
KW  - Curve Number
KW  - direct runoff
KW  - SCS-CN method
KW  - small catchment
KW  - storm duration
KW  - soil moisture
KW  - slope
KW  - Soil Conservation Service Curve Number method
KW  - runoff prediction
KW  - runoff
KW  - SCS-CN
KW  - NRCS-CN
KW  - earth observation
KW  - LUCC
KW  - wildfire
KW  - urbanization
KW  - design hydrograph
KW  - EBA4SUB
KW  - mountainous catchments
KW  - rainfall-runoff models
KW  - ungauged catchments
KW  - initial abstraction coefficient
KW  - slope-adjusted curve number
KW  - rainfall
KW  - precise runoff
KW  - model accuracy
KW  - HEC-HMS
KW  - rainfall-runoff modelling
KW  - SCS–CN method
KW  - Jeju Island
KW  - initial abstraction
KW  - maximum potential retention
KW  - antecedent moisture condition
KW  - n/a
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/3808
UR  - https://directory.doabooks.org/handle/20.500.12854/76383
ER  -