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...

Full description

Bibliographic Details
Published in:Journal of Flood Risk Management
Main Authors: Wang, Yuefeng, Tabari, Hossein, Xu, Youpeng, Willems, Patrick
Other Authors: National Natural Science Foundation of China, Nanjing University, China Scholarship Council
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2019
Subjects:
Online Access: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
id crwiley:10.1111/jfr3.12539
record_format openpolar
spelling 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
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language 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