Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR022231 |
Modeling Spatial Dependence of Rainfall Extremes Across Multiple Durations | |
Phuong Dong Le; Leonard, Michael; Westra, Seth | |
2018-03-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2018 |
卷号 | 54期号:3页码:2233-2248 |
文章类型 | Article |
语种 | 英语 |
国家 | Australia |
英文摘要 | Determining the probability of a flood event in a catchment given that another flood has occurred in a nearby catchment is useful in the design of infrastructure such as road networks that have multiple river crossings. These conditional flood probabilities can be estimated by calculating conditional probabilities of extreme rainfall and then transforming rainfall to runoff through a hydrologic model. Each catchment's hydrological response times are unlikely to be the same, so in order to estimate these conditional probabilities one must consider the dependence of extreme rainfall both across space and across critical storm durations. To represent these types of dependence, this study proposes a new approach for combining extreme rainfall across different durations within a spatial extreme value model using max-stable process theory. This is achieved in a stepwise manner. The first step defines a set of common parameters for the marginal distributions across multiple durations. The parameters are then spatially interpolated to develop a spatial field. Storm-level dependence is represented through the max-stable process for rainfall extremes across different durations. The dependence model shows a reasonable fit between the observed pairwise extremal coefficients and the theoretical pairwise extremal coefficient function across all durations. The study demonstrates how the approach can be applied to develop conditional maps of the return period and return level across different durations. |
英文关键词 | max-stable process model spatial extremes duration dependence linking multiple durations conditional simulation intensity-duration-frequency relationships |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000430364900045 |
WOS关键词 | PRECIPITATION EXTREMES ; STORM-SURGE ; MULTIVARIATE ; FRAMEWORK ; INFERENCE ; VALUES |
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/21205 |
专题 | 资源环境科学 |
作者单位 | Univ Adelaide, Sch Civil Environm & Min Engn, Adelaide, SA, Australia |
推荐引用方式 GB/T 7714 | Phuong Dong Le,Leonard, Michael,Westra, Seth. Modeling Spatial Dependence of Rainfall Extremes Across Multiple Durations[J]. WATER RESOURCES RESEARCH,2018,54(3):2233-2248. |
APA | Phuong Dong Le,Leonard, Michael,&Westra, Seth.(2018).Modeling Spatial Dependence of Rainfall Extremes Across Multiple Durations.WATER RESOURCES RESEARCH,54(3),2233-2248. |
MLA | Phuong Dong Le,et al."Modeling Spatial Dependence of Rainfall Extremes Across Multiple Durations".WATER RESOURCES RESEARCH 54.3(2018):2233-2248. |
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