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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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Online dostop: | ONIX_20220111_9783036508207_119 |
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| collection | Directory of Open Access Books |
| description | 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 | Online |
| id | doab-20.500.12854ir-76383 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-763832024-03-27T16:34:41Z Soil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives Soulis, Konstantinos X. 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 SCS–CN method Jeju Island initial abstraction maximum potential retention antecedent moisture condition n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general 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. 2022-01-11T13:30:28Z 2022-01-11T13:30:28Z 2021 book ONIX_20220111_9783036508207_119 9783036508207 9783036508214 https://directory.doabooks.org/handle/20.500.12854/76383 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/3808 https://mdpi.com/books/pdfview/book/3808 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0821-4 10.3390/books978-3-0365-0821-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036508207 9783036508214 172 Basel, Switzerland open access |
| spellingShingle | 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 SCS–CN method Jeju Island initial abstraction maximum potential retention antecedent moisture condition n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Soil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives |
| title | Soil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives |
| title_full | Soil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives |
| title_fullStr | Soil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives |
| title_full_unstemmed | Soil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives |
| title_short | Soil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives |
| title_sort | soil conservation service curve number scs cn method current applications remaining challenges and future perspectives |
| topic | 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 SCS–CN method Jeju Island initial abstraction maximum potential retention antecedent moisture condition n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | 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 SCS–CN method Jeju Island initial abstraction maximum potential retention antecedent moisture condition n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20220111_9783036508207_119 |