Reprint

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

Edited by
June 2021
172 pages
  • ISBN978-3-0365-0820-7 (Hardback)
  • ISBN978-3-0365-0821-4 (PDF)

This book is a reprint of the Special Issue Soil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives that was published in

Biology & Life Sciences
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Public Health & Healthcare
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.
Format
  • Hardback
License
© by the authors
Keywords
SCS; initial abstraction ratio; curve number; bootstrap; rainfall–runoff model; Curve Number; initial abstraction ratio; 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; SCS-CN; EBA4SUB; mountainous catchments; rainfall-runoff models; ungauged catchments; initial abstraction coefficient; slope-adjusted curve number; rainfall; precise runoff; model accuracy; curve number; direct runoff; HEC-HMS; initial abstraction coefficient; rainfall-runoff modelling; SCS-CN; SCS–CN method; Jeju Island; initial abstraction; maximum potential retention; antecedent moisture condition; n/a