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DOI | 10.1002/2017WR020412 |
A Statistical Graphical Model of the California Reservoir System | |
Taeb, A.1; Reager, J. T.2; Turmon, M.2; Chandrasekaran, V.1,3 | |
2017-11-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:11 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The recent California drought has highlighted the potential vulnerability of the state's water management infrastructure to multiyear dry intervals. Due to the high complexity of the network, dynamic storage changes in California reservoirs on a state-wide scale have previously been difficult to model using either traditional statistical or physical approaches. Indeed, although there is a significant line of research on exploring models for single (or a small number of) reservoirs, these approaches are not amenable to a system-wide modeling of the California reservoir network due to the spatial and hydrological heterogeneities of the system. In this work, we develop a state-wide statistical graphical model to characterize the dependencies among a collection of 55 major California reservoirs across the state; this model is defined with respect to a graph in which the nodes index reservoirs and the edges specify the relationships or dependencies between reservoirs. We obtain and validate this model in a data-driven manner based on reservoir volumes over the period 2003-2016. A key feature of our framework is a quantification of the effects of external phenomena that influence the entire reservoir network. We further characterize the degree to which physical factors (e.g., state-wide Palmer Drought Severity Index (PDSI), average temperature, snow pack) and economic factors (e.g., consumer price index, number of agricultural workers) explain these external influences. As a consequence of this analysis, we obtain a system-wide health diagnosis of the reservoir network as a function of PDSI. |
英文关键词 | water resources sustainability graphical models latent variables convex optimization |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000418736700059 |
WOS关键词 | COVARIANCE ESTIMATION ; WATER-LEVEL ; RIVER ; MANAGEMENT ; STREAMFLOW ; ALGORITHM ; SELECTION ; DROUGHT |
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/21949 |
专题 | 资源环境科学 |
作者单位 | 1.CALTECH, Dept Elect Engn, Pasadena, CA 91125 USA; 2.CALTECH, Jet Prop Lab, Pasadena, CA USA; 3.CALTECH, Dept Comp & Math Sci, Pasadena, CA 91125 USA |
推荐引用方式 GB/T 7714 | Taeb, A.,Reager, J. T.,Turmon, M.,et al. A Statistical Graphical Model of the California Reservoir System[J]. WATER RESOURCES RESEARCH,2017,53(11). |
APA | Taeb, A.,Reager, J. T.,Turmon, M.,&Chandrasekaran, V..(2017).A Statistical Graphical Model of the California Reservoir System.WATER RESOURCES RESEARCH,53(11). |
MLA | Taeb, A.,et al."A Statistical Graphical Model of the California Reservoir System".WATER RESOURCES RESEARCH 53.11(2017). |
条目包含的文件 | 条目无相关文件。 |
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