Spatiotemporal Distribution of Droughts in the Xijiang River Basin, China and Its Responses to Global Climatic Events

The Xijiang River is a main branch of the Pearl River, the largest river in South China. Droughts in this area have seriously influenced local water resource utilization, and socio-economic development. The spatiotemporal distribution of droughts and its responses to global climatic events are of cr...

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Published in:Water
Main Authors: Jizhong Qiu, Yunpeng Wang, Jie Xiao
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2017
Subjects:
Online Access:https://doi.org/10.3390/w9040265
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spelling ftmdpi:oai:mdpi.com:/2073-4441/9/4/265/ 2023-08-20T04:08:26+02:00 Spatiotemporal Distribution of Droughts in the Xijiang River Basin, China and Its Responses to Global Climatic Events Jizhong Qiu Yunpeng Wang Jie Xiao agris 2017-04-09 application/pdf https://doi.org/10.3390/w9040265 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/w9040265 https://creativecommons.org/licenses/by/4.0/ Water; Volume 9; Issue 4; Pages: 265 drought global climatic events spatiotemporal distribution teleconnection contribution Xijiang River Basin Text 2017 ftmdpi https://doi.org/10.3390/w9040265 2023-07-31T21:05:29Z The Xijiang River is a main branch of the Pearl River, the largest river in South China. Droughts in this area have seriously influenced local water resource utilization, and socio-economic development. The spatiotemporal distribution of droughts and its responses to global climatic events are of critical significance for the assessment and early warning of drought disasters. In this paper, the spatiotemporal patterns of droughts characterized by Rotated Empirical Orthogonal Function/Rotated Principal Components (REOF/RPC) in the Xijiang River Basin, China were evaluated using the Self-calibrated Palmer Drought Severity Index (Sc-PDSI). The drought responses to El Niño/Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), India Ocean Dipole (IOD), and North Atlantic Oscillation (NAO) were analysed by Pearson correlation and multiple stepwise regression. The results showed that one year earlier NAO was the dominant factor impacting the droughts in the Xijiang Basin. Its contribution for the RPC2s of the annual, the first and second half years, winter, summer, autumn, and February were −0.556, −0.419, 0.597, −0.447, 0.542, 0.600, and −0.327, respectively. Besides the two adjacent Pacific and India oceans, the droughts seem be influenced by distant Atlantic climatic events. These results offer new reference insights into the early warning of droughts as well as the planning and management of water resources in the study area. Text North Atlantic North Atlantic oscillation MDPI Open Access Publishing Pacific Water 9 4 265
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic drought
global climatic events
spatiotemporal distribution
teleconnection
contribution
Xijiang River Basin
spellingShingle drought
global climatic events
spatiotemporal distribution
teleconnection
contribution
Xijiang River Basin
Jizhong Qiu
Yunpeng Wang
Jie Xiao
Spatiotemporal Distribution of Droughts in the Xijiang River Basin, China and Its Responses to Global Climatic Events
topic_facet drought
global climatic events
spatiotemporal distribution
teleconnection
contribution
Xijiang River Basin
description The Xijiang River is a main branch of the Pearl River, the largest river in South China. Droughts in this area have seriously influenced local water resource utilization, and socio-economic development. The spatiotemporal distribution of droughts and its responses to global climatic events are of critical significance for the assessment and early warning of drought disasters. In this paper, the spatiotemporal patterns of droughts characterized by Rotated Empirical Orthogonal Function/Rotated Principal Components (REOF/RPC) in the Xijiang River Basin, China were evaluated using the Self-calibrated Palmer Drought Severity Index (Sc-PDSI). The drought responses to El Niño/Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), India Ocean Dipole (IOD), and North Atlantic Oscillation (NAO) were analysed by Pearson correlation and multiple stepwise regression. The results showed that one year earlier NAO was the dominant factor impacting the droughts in the Xijiang Basin. Its contribution for the RPC2s of the annual, the first and second half years, winter, summer, autumn, and February were −0.556, −0.419, 0.597, −0.447, 0.542, 0.600, and −0.327, respectively. Besides the two adjacent Pacific and India oceans, the droughts seem be influenced by distant Atlantic climatic events. These results offer new reference insights into the early warning of droughts as well as the planning and management of water resources in the study area.
format Text
author Jizhong Qiu
Yunpeng Wang
Jie Xiao
author_facet Jizhong Qiu
Yunpeng Wang
Jie Xiao
author_sort Jizhong Qiu
title Spatiotemporal Distribution of Droughts in the Xijiang River Basin, China and Its Responses to Global Climatic Events
title_short Spatiotemporal Distribution of Droughts in the Xijiang River Basin, China and Its Responses to Global Climatic Events
title_full Spatiotemporal Distribution of Droughts in the Xijiang River Basin, China and Its Responses to Global Climatic Events
title_fullStr Spatiotemporal Distribution of Droughts in the Xijiang River Basin, China and Its Responses to Global Climatic Events
title_full_unstemmed Spatiotemporal Distribution of Droughts in the Xijiang River Basin, China and Its Responses to Global Climatic Events
title_sort spatiotemporal distribution of droughts in the xijiang river basin, china and its responses to global climatic events
publisher Multidisciplinary Digital Publishing Institute
publishDate 2017
url https://doi.org/10.3390/w9040265
op_coverage agris
geographic Pacific
geographic_facet Pacific
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Water; Volume 9; Issue 4; Pages: 265
op_relation https://dx.doi.org/10.3390/w9040265
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/w9040265
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