Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR026028 |
Examining Observed Rainfall, Soil Moisture, and River Network Variabilities on Peak Flow Scaling of Rainfall-Runoff Events with Implications on Regionalization of Peak Flow Quantiles | |
Perez, Gabriel; Mantilla, Ricardo; Krajewski, Witold F.; Quintero, Felipe | |
2019-12-12 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:12页码:10707-10726 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The scaling of peak flows associated with a probability of exceedance (Q(p)) or a specific rainfall-runoff event (Q(R)) with respect to drainage area (A) is known as flood scaling and it has been widely used in peak flow regionalization. The attenuation and aggregation processes within the hillslopes and river network in a rainfall-runoff event, provide a framework to test the scaling of Q(R). Although scaling of Q(p) has been reported in empirical studies, its physical interpretation is compromised, since Q(p) at each site could come from different rainfall-runoff events. To address this problem, the authors explored the effect of actual variabilities of rainfall and soil moisture fields, and the effect of the river network structure, in the scaling of peak flows of 85 rainfall-runoff events and peak flow quantiles that were observed in the Iowa River Basin at 43 streamflow gauges. The authors established empirical evidence that addresses two questions: (1) What does control the performance of the scaling of observed Q(R)? (2) What is the interplay between sampling errors and the selection of explanatory variables in the construction of regional regression models for Q(R) and Q(p)? For the first question, the authors found that the slope magnitude in the scaling of the rainfall intensity fields with respect to A controls the scaling' performance of Q(R). Regarding the second question, the authors demonstrate that the inclusion of river network descriptors should improve the regional equations to estimate peak flow quantiles unless stream gauging sampling errors affect the analysis. |
英文关键词 | peak flow scaling rainfall variability soil moisture variability regional regression rainfall-runoff event peak flow quantile |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000502271000001 |
WOS关键词 | SPATIAL VARIABILITY ; EXCESS RAINFALL ; BASIN ; DISCHARGES |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/223980 |
专题 | 资源环境科学 |
作者单位 | Univ Iowa, Dept Civil & Environm Engn, IIHR Hydrosci & Engn, Iowa City, IA 52242 USA |
推荐引用方式 GB/T 7714 | Perez, Gabriel,Mantilla, Ricardo,Krajewski, Witold F.,et al. Examining Observed Rainfall, Soil Moisture, and River Network Variabilities on Peak Flow Scaling of Rainfall-Runoff Events with Implications on Regionalization of Peak Flow Quantiles[J]. WATER RESOURCES RESEARCH,2019,55(12):10707-10726. |
APA | Perez, Gabriel,Mantilla, Ricardo,Krajewski, Witold F.,&Quintero, Felipe.(2019).Examining Observed Rainfall, Soil Moisture, and River Network Variabilities on Peak Flow Scaling of Rainfall-Runoff Events with Implications on Regionalization of Peak Flow Quantiles.WATER RESOURCES RESEARCH,55(12),10707-10726. |
MLA | Perez, Gabriel,et al."Examining Observed Rainfall, Soil Moisture, and River Network Variabilities on Peak Flow Scaling of Rainfall-Runoff Events with Implications on Regionalization of Peak Flow Quantiles".WATER RESOURCES RESEARCH 55.12(2019):10707-10726. |
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