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Details van artikel 9 van 19 gevonden artikelen
| Titel: |
Estimation of global SCS curve numbers using satellite remote sensing and geospatial data |
| Auteur: |
Hong, Y. Adler, R. F. |
| Verschenen in: |
International journal of remote sensing |
| Paginering: | Jaargang 29 (2008) nr. 2 pagina's 471-477 |
| Jaar: |
2008-01 |
| Inhoud: |
The Soil Conservation Service Curve Number (SCS CN) method is an efficient and widely used method for determining the direct runoff (effective rainfall) from a storm event for flood disaster assessment (rainfall-runoff modelling). The CN can be estimated based on the area's hydrologic soil group (HSG), land use/cover, and hydrologic condition. The two former factors are of greater importance in determining the CN value. This study reports an attempt to derive a global CN map. First, HSG was classified from digital soil maps. Second, CN was estimated as a function of HSG, land-cover classification, and hydrologic conditions according to USDA (1986) and NEH-4 (1997) standard lookup tables. Potential applications of this CN map may include real-time global flood assessment by incorporating an operational multisatellite precipitation estimation system (e.g. http://trmm.gsfc.nasa.gov). |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 9 van 19 gevonden artikelen
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