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220822 ||| eng |
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|a 9783036508214
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|a books978-3-0365-0821-4
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|a 9783036508207
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| 100 |
1 |
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|a Soulis, Konstantinos X.
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| 245 |
0 |
0 |
|a Soil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives
|h Elektronische Ressource
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2021
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| 300 |
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|a 1 electronic resource (172 p.)
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| 653 |
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|a storm duration
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| 653 |
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|a soil moisture
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| 653 |
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|a rainfall-runoff modelling
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| 653 |
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|a initial abstraction ratio
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| 653 |
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|a n/a
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| 653 |
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|a SCS-CN method
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| 653 |
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|a wildfire
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| 653 |
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|a precise runoff
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| 653 |
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|a Jeju Island
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| 653 |
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|a slope-adjusted curve number
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| 653 |
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|a NRCS-CN
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| 653 |
|
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|a earth observation
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| 653 |
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|a urbanization
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| 653 |
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|a model accuracy
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| 653 |
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|a initial abstraction
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| 653 |
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|a rainfall-runoff model
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| 653 |
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|a SCS
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| 653 |
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|a small catchment
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| 653 |
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|a HEC-HMS
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| 653 |
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|a runoff prediction
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| 653 |
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|a Research & information: general / bicssc
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| 653 |
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|a runoff
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| 653 |
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|a Curve Number
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| 653 |
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|a bootstrap
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| 653 |
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|a rainfall-runoff models
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| 653 |
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|a antecedent moisture condition
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| 653 |
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|a slope
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| 653 |
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|a direct runoff
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| 653 |
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|a ungauged catchments
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| 653 |
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|a curve number
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| 653 |
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|a SCS-CN
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| 653 |
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|a mountainous catchments
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| 653 |
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|a EBA4SUB
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| 653 |
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|a maximum potential retention
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| 653 |
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|a rainfall
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| 653 |
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|a initial abstraction coefficient
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| 653 |
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|a LUCC
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| 653 |
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|a design hydrograph
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| 653 |
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|a Soil Conservation Service Curve Number method
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| 700 |
1 |
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|a Soulis, Konstantinos X.
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 028 |
5 |
0 |
|a 10.3390/books978-3-0365-0821-4
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/3808
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/76383
|z DOAB: description of the publication
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| 082 |
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|a 000
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| 082 |
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|a 700
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| 520 |
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|a 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.
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