Spatial and Temporal Characteristics ofDrought and Flood Disasters in ModernTimes of Jiangsu Province, China

Drought and flood disasters (DFD) are the primary natural hazards in Jiangsu province, often occurring within the same year.This study analyzes historical DFD records to examine their spatial-temporal characteristics, causative factors, and socio-economic impacts using statistical analysis, wavelet analysis, and geographically weighted regression (GWR).Results indicate the frequency of floods slightly surpasses that of droughts, with peaks in summer and autumn.Geographically, the distribution of DFD in modern Jiangsu exhibits distinct regional disparities, with a higher prevalence in northern Jiangsu compared to the southern part of the province.Specific counties such as Gaoyou, Jiangning, Suqian, Wujin, and Xinghua have reported DFD far more frequently than others.The 2-10year quasi-periodic temporal characteristics of DFD are identified through wavelet analysis.The GWR model shows stronger drought correlations in northern regions and varying seasonal flood patterns.The causes of DFD include monsoons, topography, population density, resource exploitation, and military activities.Additionally, DFD significantly impacts population, economic development, and social stability, causing life loss, displacement, and social disorder.The results provide a methodological approach to deepen the understanding of the mechanisms and trends of DFD in Jiangsu province.

Authors

Publication Details

Journal
Polish Journal of Environmental Studies
Published
2024-11-13
DOI
https://doi.org/10.15244/pjoes/193386
Citations
1
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial and Temporal Characteristics ofDrought and Flood Disasters in ModernTimes of Jiangsu Province, China

Xiaolong Ma, Fuping Hui, Y T Ji
1 citations
Polish Journal of Environmental Studies
Regional Development and Environment
1.13
article

Spatial and Temporal Characteristics ofDrought and Flood Disasters in ModernTimes of Jiangsu Province, China

Xiaolong Ma, Fuping Hui, Y T Ji
article en
1 citations

Abstract

Drought and flood disasters (DFD) are the primary natural hazards in Jiangsu province, often occurring within the same year.This study analyzes historical DFD records to examine their spatial-temporal characteristics, causative factors, and socio-economic impacts using statistical analysis, wavelet analysis, and geographically weighted regression (GWR).Results indicate the frequency of floods slightly surpasses that of droughts, with peaks in summer and autumn.Geographically, the distribution of DFD in modern Jiangsu exhibits distinct regional disparities, with a higher prevalence in northern Jiangsu compared to the southern part of the province.Specific counties such as Gaoyou, Jiangning, Suqian, Wujin, and Xinghua have reported DFD far more frequently than others.The 2-10year quasi-periodic temporal characteristics of DFD are identified through wavelet analysis.The GWR model shows stronger drought correlations in northern regions and varying seasonal flood patterns.The causes of DFD include monsoons, topography, population density, resource exploitation, and military activities.Additionally, DFD significantly impacts population, economic development, and social stability, causing life loss, displacement, and social disorder.The results provide a methodological approach to deepen the understanding of the mechanisms and trends of DFD in Jiangsu province.

Polish Journal of Environmental StudiesVol. 34(6)
Climate action
Openalex Percentile: Top 15%
Regional Development and Environment
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.