Atmospheric and human‐induced impacts on temporal variability of water level extremes in the Taihu Basin, China
Abstract Understanding the variation of water level extremes with their potential drivers can provide insights for flood risk management. In this study, temporal variability of water level extremes is investigated across the plain river network region of the Taihu Basin. The driving force analysis o...
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crwiley:10.1111/jfr3.12539 2024-10-06T13:46:43+00:00 Atmospheric and human‐induced impacts on temporal variability of water level extremes in the Taihu Basin, China Wang, Yuefeng Tabari, Hossein Xu, Youpeng Willems, Patrick National Natural Science Foundation of China Nanjing University China Scholarship Council 2019 http://dx.doi.org/10.1111/jfr3.12539 https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfr3.12539 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/jfr3.12539 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Journal of Flood Risk Management volume 12, issue S1 ISSN 1753-318X 1753-318X journal-article 2019 crwiley https://doi.org/10.1111/jfr3.12539 2024-09-19T04:18:53Z Abstract Understanding the variation of water level extremes with their potential drivers can provide insights for flood risk management. In this study, temporal variability of water level extremes is investigated across the plain river network region of the Taihu Basin. The driving force analysis on water level extremes is mainly conducted for atmospheric (rainfall, climatic index, and tide) and anthropogenic forcing. The quantile perturbation method is employed to examine variability of extreme values and the Spearman correlation analysis to identify potential drivers of extreme water level variability. Considering water level extremes in all seasons, the 1990s have statistically significant positive anomalies, while the late 1960s to the 1970s and the 2000s have significant negative anomalies. The oscillation pattern of anomaly in summer has a higher variability than that in the other three seasons. Significant correlations are detected between the anomalies of water level extremes and rainfall (tide level) during summer and winter. Water level extremes in summer and winter have a strong connection to the Pacific Decadal Oscillation and North Atlantic Oscillation/Arctic Oscillation, respectively. Conversely, no consistent significant correlations between water level extremes and climatic indices are found in spring and autumn, which is mainly related to hydraulic structure construction and operation. Article in Journal/Newspaper Arctic North Atlantic North Atlantic oscillation Wiley Online Library Arctic Pacific Journal of Flood Risk Management 12 S1 |
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Wiley Online Library |
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English |
description |
Abstract Understanding the variation of water level extremes with their potential drivers can provide insights for flood risk management. In this study, temporal variability of water level extremes is investigated across the plain river network region of the Taihu Basin. The driving force analysis on water level extremes is mainly conducted for atmospheric (rainfall, climatic index, and tide) and anthropogenic forcing. The quantile perturbation method is employed to examine variability of extreme values and the Spearman correlation analysis to identify potential drivers of extreme water level variability. Considering water level extremes in all seasons, the 1990s have statistically significant positive anomalies, while the late 1960s to the 1970s and the 2000s have significant negative anomalies. The oscillation pattern of anomaly in summer has a higher variability than that in the other three seasons. Significant correlations are detected between the anomalies of water level extremes and rainfall (tide level) during summer and winter. Water level extremes in summer and winter have a strong connection to the Pacific Decadal Oscillation and North Atlantic Oscillation/Arctic Oscillation, respectively. Conversely, no consistent significant correlations between water level extremes and climatic indices are found in spring and autumn, which is mainly related to hydraulic structure construction and operation. |
author2 |
National Natural Science Foundation of China Nanjing University China Scholarship Council |
format |
Article in Journal/Newspaper |
author |
Wang, Yuefeng Tabari, Hossein Xu, Youpeng Willems, Patrick |
spellingShingle |
Wang, Yuefeng Tabari, Hossein Xu, Youpeng Willems, Patrick Atmospheric and human‐induced impacts on temporal variability of water level extremes in the Taihu Basin, China |
author_facet |
Wang, Yuefeng Tabari, Hossein Xu, Youpeng Willems, Patrick |
author_sort |
Wang, Yuefeng |
title |
Atmospheric and human‐induced impacts on temporal variability of water level extremes in the Taihu Basin, China |
title_short |
Atmospheric and human‐induced impacts on temporal variability of water level extremes in the Taihu Basin, China |
title_full |
Atmospheric and human‐induced impacts on temporal variability of water level extremes in the Taihu Basin, China |
title_fullStr |
Atmospheric and human‐induced impacts on temporal variability of water level extremes in the Taihu Basin, China |
title_full_unstemmed |
Atmospheric and human‐induced impacts on temporal variability of water level extremes in the Taihu Basin, China |
title_sort |
atmospheric and human‐induced impacts on temporal variability of water level extremes in the taihu basin, china |
publisher |
Wiley |
publishDate |
2019 |
url |
http://dx.doi.org/10.1111/jfr3.12539 https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfr3.12539 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/jfr3.12539 |
geographic |
Arctic Pacific |
geographic_facet |
Arctic Pacific |
genre |
Arctic North Atlantic North Atlantic oscillation |
genre_facet |
Arctic North Atlantic North Atlantic oscillation |
op_source |
Journal of Flood Risk Management volume 12, issue S1 ISSN 1753-318X 1753-318X |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/jfr3.12539 |
container_title |
Journal of Flood Risk Management |
container_volume |
12 |
container_issue |
S1 |
_version_ |
1812175059411795968 |