دورية أكاديمية
Consideration of vegetation interception of rainfall within the SCS-CN model: Application to the west bank of Dianchi Lake
| العنوان: | Consideration of vegetation interception of rainfall within the SCS-CN model: Application to the west bank of Dianchi Lake |
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| المؤلفون: | Jinmei Li, Jingchun Zhou, Jinliang Wang |
| المصدر: | Journal of Hydrology: Regional Studies, Vol 49, Iss , Pp 101490- (2023) |
| بيانات النشر: | Elsevier, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Physical geography LCC:Geology |
| مصطلحات موضوعية: | SCS-CN model, Mountain floods, Rainfall runoff, CN, Vegetation interception rainfall, Physical geography, GB3-5030, Geology, QE1-996.5 |
| الوصف: | Study region: The west bank of Dianchi Lake, China. Study focus: The Soil Conservation Service Curve Number (SCS-CN) model is widely used to simulate rainfall runoff of mountain floods. The determination of the CN parameter within the SCS-CN model is key to accurately simulating runoff. CN is closely related to regional land use, soil type, antecedent moisture conditions and slope. Therefore, this study established an optimized SCS-CN model by comprehensively considering the above factors, particularly the interception of rainfall by vegetation. New hydrological insights for the region: (1) The original CN value resulted in underestimation of surface runoff in the study area [Nash-Sutcliffe Efficiency Coefficient (NSE) = 0.2260], indicating that regional differences reduce the applicability of the original CN value; (2) the optimized model considering the slope, antecedent rainfall, and other single or combined factors generated simulations of runoff that were closer to observations (NSE = 0.6811); the accuracy of the CN value can be effectively improved by combining various factors; however, since the CN had not yet reached the optimal value, simulations remained inaccurate; (3) consideration of interception of rainfall by vegetation in the model greatly improved the accuracy of simulated runoff [NSE = 0.8620]; indicating that the impact of vegetation interception of rainfall on surface runoff cannot be ignored. The results demonstrated that the SCS-CN model can provide more accurate simulations of mountain flood runoff in the study area after considering multiple factors, such as vegetation interception of rainfall. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2214-5818 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2214581823001775; https://doaj.org/toc/2214-5818 |
| DOI: | 10.1016/j.ejrh.2023.101490 |
| URL الوصول: | https://doaj.org/article/b14e5c3c8c334dc58d3bb3cac6aff575 |
| رقم الأكسشن: | edsdoj.b14e5c3c8c334dc58d3bb3cac6aff575 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 22145818 |
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| DOI: | 10.1016/j.ejrh.2023.101490 |