Research on Spatiotemporal Evolution and Driving Factors of Extreme Climate in Guangdong-Hong Kong-Macao Greater Bay Area

In recent years,frequent extreme climate events have become the focus of attention of the world.Studying the spatiotemporal evolution of extreme climate in the Guangdong-Hong Kong-Macao Greater Bay Area is of great significance for timely and accurate disaster prevention and mitigation forecasts and...

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Main Authors: GUO Shan, ZHANG Dawei, WANG Yadi
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2022-01-01
Series:Renmin Zhujiang
Subjects:
Online Access:http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.07.006
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author GUO Shan
ZHANG Dawei
WANG Yadi
author_facet GUO Shan
ZHANG Dawei
WANG Yadi
author_sort GUO Shan
collection DOAJ
description In recent years,frequent extreme climate events have become the focus of attention of the world.Studying the spatiotemporal evolution of extreme climate in the Guangdong-Hong Kong-Macao Greater Bay Area is of great significance for timely and accurate disaster prevention and mitigation forecasts and early warnings.On the basis of the precipitation and temperature data from 1961 to 2016,this paper uses the heuristic segmentation method,Mann-Kendall trend test,and cross wavelet method to analyze the spatiotemporal evolution of extreme climate in the Guangdong-Hong Kong-Macao Greater Bay Area and its relationship with driving factors.The results reveal that extreme precipitation and temperature changes are potentially related to sunspots and large-scale circulation factors including the multivariate ENSO index (MEI) and interdecadal Pacific oscillation (IPO),but their effects on extreme climate are different.Climate change will continue to profoundly affect urban construction and development.For future studies on the climate change in the Guangdong-Hong Kong-Macao Greater Bay Area,attention should be paid to the impact assessment of climate change in the Pearl River Basin and typical regions,and the research on the occurrence mechanism,risk assessment,countermeasures of extreme weather in the basin should be strengthened to reduce the damage of extreme climate events.
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institution Kabale University
issn 1001-9235
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publishDate 2022-01-01
publisher Editorial Office of Pearl River
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series Renmin Zhujiang
spelling doaj-art-6f55486226da4fc3873a856cc55924112025-01-15T02:27:06ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352022-01-014347644646Research on Spatiotemporal Evolution and Driving Factors of Extreme Climate in Guangdong-Hong Kong-Macao Greater Bay AreaGUO ShanZHANG DaweiWANG YadiIn recent years,frequent extreme climate events have become the focus of attention of the world.Studying the spatiotemporal evolution of extreme climate in the Guangdong-Hong Kong-Macao Greater Bay Area is of great significance for timely and accurate disaster prevention and mitigation forecasts and early warnings.On the basis of the precipitation and temperature data from 1961 to 2016,this paper uses the heuristic segmentation method,Mann-Kendall trend test,and cross wavelet method to analyze the spatiotemporal evolution of extreme climate in the Guangdong-Hong Kong-Macao Greater Bay Area and its relationship with driving factors.The results reveal that extreme precipitation and temperature changes are potentially related to sunspots and large-scale circulation factors including the multivariate ENSO index (MEI) and interdecadal Pacific oscillation (IPO),but their effects on extreme climate are different.Climate change will continue to profoundly affect urban construction and development.For future studies on the climate change in the Guangdong-Hong Kong-Macao Greater Bay Area,attention should be paid to the impact assessment of climate change in the Pearl River Basin and typical regions,and the research on the occurrence mechanism,risk assessment,countermeasures of extreme weather in the basin should be strengthened to reduce the damage of extreme climate events.http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.07.006extreme climatespatiotemporal evolutionsunspotslarge-scale circulation factorsGuangdong-Hong Kong-Macao Greater Bay Area
spellingShingle GUO Shan
ZHANG Dawei
WANG Yadi
Research on Spatiotemporal Evolution and Driving Factors of Extreme Climate in Guangdong-Hong Kong-Macao Greater Bay Area
Renmin Zhujiang
extreme climate
spatiotemporal evolution
sunspots
large-scale circulation factors
Guangdong-Hong Kong-Macao Greater Bay Area
title Research on Spatiotemporal Evolution and Driving Factors of Extreme Climate in Guangdong-Hong Kong-Macao Greater Bay Area
title_full Research on Spatiotemporal Evolution and Driving Factors of Extreme Climate in Guangdong-Hong Kong-Macao Greater Bay Area
title_fullStr Research on Spatiotemporal Evolution and Driving Factors of Extreme Climate in Guangdong-Hong Kong-Macao Greater Bay Area
title_full_unstemmed Research on Spatiotemporal Evolution and Driving Factors of Extreme Climate in Guangdong-Hong Kong-Macao Greater Bay Area
title_short Research on Spatiotemporal Evolution and Driving Factors of Extreme Climate in Guangdong-Hong Kong-Macao Greater Bay Area
title_sort research on spatiotemporal evolution and driving factors of extreme climate in guangdong hong kong macao greater bay area
topic extreme climate
spatiotemporal evolution
sunspots
large-scale circulation factors
Guangdong-Hong Kong-Macao Greater Bay Area
url http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.07.006
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AT zhangdawei researchonspatiotemporalevolutionanddrivingfactorsofextremeclimateinguangdonghongkongmacaogreaterbayarea
AT wangyadi researchonspatiotemporalevolutionanddrivingfactorsofextremeclimateinguangdonghongkongmacaogreaterbayarea