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

• Other Authors: Soulis, Konstantinos X. (Editor)
• Format: Electronic Book Chapter
• Language: English
• 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.