| 000 | 03822naaaa2200757uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/76383 | ||
| 005 | 20220220065819.0 | ||
| 020 | _abooks978-3-0365-0821-4 | ||
| 020 | _a9783036508207 | ||
| 020 | _a9783036508214 | ||
| 024 | 7 |
_a10.3390/books978-3-0365-0821-4 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 072 | 7 |
_aGP _2bicssc |
|
| 100 | 1 |
_aSoulis, Konstantinos X. _4edt |
|
| 700 | 1 |
_aSoulis, Konstantinos X. _4oth |
|
| 245 | 1 | 0 | _aSoil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives |
| 260 |
_aBasel, Switzerland _bMDPI - Multidisciplinary Digital Publishing Institute _c2021 |
||
| 300 | _a1 electronic resource (172 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aProbably, 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. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc _4https://creativecommons.org/licenses/by/4.0/ |
||
| 546 | _aEnglish | ||
| 650 | 7 |
_aResearch & information: general _2bicssc |
|
| 653 | _aSCS | ||
| 653 | _ainitial abstraction ratio | ||
| 653 | _acurve number | ||
| 653 | _abootstrap | ||
| 653 | _arainfall–runoff model | ||
| 653 | _aCurve Number | ||
| 653 | _adirect runoff | ||
| 653 | _aSCS-CN method | ||
| 653 | _asmall catchment | ||
| 653 | _astorm duration | ||
| 653 | _asoil moisture | ||
| 653 | _aslope | ||
| 653 | _aSoil Conservation Service Curve Number method | ||
| 653 | _arunoff prediction | ||
| 653 | _arunoff | ||
| 653 | _aSCS-CN | ||
| 653 | _aNRCS-CN | ||
| 653 | _aearth observation | ||
| 653 | _aLUCC | ||
| 653 | _awildfire | ||
| 653 | _aurbanization | ||
| 653 | _adesign hydrograph | ||
| 653 | _aEBA4SUB | ||
| 653 | _amountainous catchments | ||
| 653 | _arainfall-runoff models | ||
| 653 | _aungauged catchments | ||
| 653 | _ainitial abstraction coefficient | ||
| 653 | _aslope-adjusted curve number | ||
| 653 | _arainfall | ||
| 653 | _aprecise runoff | ||
| 653 | _amodel accuracy | ||
| 653 | _aHEC-HMS | ||
| 653 | _arainfall-runoff modelling | ||
| 653 | _aSCS–CN method | ||
| 653 | _aJeju Island | ||
| 653 | _ainitial abstraction | ||
| 653 | _amaximum potential retention | ||
| 653 | _aantecedent moisture condition | ||
| 653 | _an/a | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/3808 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/76383 _70 _zDOAB: description of the publication |
| 999 |
_c71968 _d71968 |
||