A framework for determining lowest navigable water levels with nonstationary characteristics
文献类型：期刊论文
| 作者 | Wang, Lu1; Xie, Ping1; Xu, Chong-Yu2; Sang, Yan-Fang3 ; Chen, Jie1; Yu, Tao1
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| 刊名 | STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
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| 出版日期 | 2021-08-02 |
| 页码 | 26 |
| 关键词 | Lowest navigable water level Water level processes Nonstationary hydrological design Intra-annual variability Inter-annual variability Variance variability |
| ISSN号 | 1436-3240 |
| DOI | 10.1007/s00477-021-02058-1 |
| 通讯作者 | Xie, Ping(pxie@whu.edu.cn) ; Xu, Chong-Yu(c.y.xu@geo.uio.no) |
| 英文摘要 | The Lowest navigable water level (LNWL) is an important indicator used for navigation design to balance the relationship between navigation safety and economic benefits of a waterway. However, it is a challenge of accurately estimating LNWLs due to the nonstationary characteristics of observed water level data series. In this study, a comprehensive framework was developed for handling this issue. In this framework, inter-annual variabilities in both the mean and variance of water level series were described by decomposing original series and were eliminated by composing new series. Intra-annual variability was determined by detecting indicators describing intra-annual water level distributions. Considerations of inter- and intra-annual variabilities were combined by designing annual water level processes for the past and current environments. Shipping risks during both annual and multi-annual periods were considered in the framework as well. The framework was demonstrated in estimating LNWLs at the Gaodao and Shijiao stations in the North River basin, southern China. The recommended LNWLs at the Gaodao station were 22.32 m for 95% guaranteed rate and 21.84 m for 98% guaranteed rate; LNWLs at the Shijiao station were 0.27 m for 95% guaranteed rate and 0.15 m for 98% guaranteed rate. The impact of variance variability on estimations of LNWLs was also evaluated. Results indicated that the recommended LNWLs would have errors of 0.11 similar to 0.48 m at the Gaodao station and 0.03 similar to 0.04 m at the Shijiao station if the variance variability was not considered. The proposed framework was then compared with Nonstationary synthetic duration curve (NSDC) method, and results illustrated that the duration curves plotted by NSDC method were unreasonable, leading to inaccurate design values. Overall, the developed framework is more reasonable and suitable for designing LNWLs of waterways where the variabilities of the water levels at different time scales are different or where the historical water level data contain various variations . |
| WOS关键词 | FLOOD FREQUENCY-ANALYSIS ; BEIJIANG RIVER-BASIN ; CLIMATE-CHANGE ; HYDROLOGICAL RESPONSE ; PEARL RIVER ; PRECIPITATION ; STATIONARITY ; VARIABILITY ; IMPACTS ; RISK |
| 资助项目 | National Natural Science Foundation of China[51579181] ; National Natural Science Foundation of China[91547205] ; National Natural Science Foundation of China[41971040] ; Research Council of Norway[274310] ; Youth Innovation Promotion Association CAS[2017074] |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000680337100002 |
| 出版者 | SPRINGER |
| 资助机构 | National Natural Science Foundation of China ; Research Council of Norway ; Youth Innovation Promotion Association CAS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/164831]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xie, Ping; Xu, Chong-Yu |
| 作者单位 | 1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China 2.Univ Oslo, Dept Geosci, N-0316 Oslo, Norway 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Lu,Xie, Ping,Xu, Chong-Yu,et al. A framework for determining lowest navigable water levels with nonstationary characteristics[J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,2021:26. |
| APA | Wang, Lu,Xie, Ping,Xu, Chong-Yu,Sang, Yan-Fang,Chen, Jie,&Yu, Tao.(2021).A framework for determining lowest navigable water levels with nonstationary characteristics.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,26. |
| MLA | Wang, Lu,et al."A framework for determining lowest navigable water levels with nonstationary characteristics".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2021):26. |
入库方式： OAI收割
来源：地理科学与资源研究所
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