Cargando…

Increase of Elderly Population in the Rainstorm Hazard Areas of China

In light of global warming, increased extreme precipitation events have enlarged the population exposed to floods to some extent. Extreme precipitation risk assessments are of great significance in China and allow for the response to climate change and mitigation of risks to the population. China is...

Descripción completa

Detalles Bibliográficos
Autores principales: Liang, Pujun, Xu, Wei, Ma, Yunjia, Zhao, Xiujuan, Qin, Lianjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5615500/
https://www.ncbi.nlm.nih.gov/pubmed/28846596
http://dx.doi.org/10.3390/ijerph14090963
_version_ 1783266599302594560
author Liang, Pujun
Xu, Wei
Ma, Yunjia
Zhao, Xiujuan
Qin, Lianjie
author_facet Liang, Pujun
Xu, Wei
Ma, Yunjia
Zhao, Xiujuan
Qin, Lianjie
author_sort Liang, Pujun
collection PubMed
description In light of global warming, increased extreme precipitation events have enlarged the population exposed to floods to some extent. Extreme precipitation risk assessments are of great significance in China and allow for the response to climate change and mitigation of risks to the population. China is one of the countries most influenced by climate change and has unique national population conditions. The influence of extreme precipitation depends on the degree of exposure and vulnerability of the population. Accurate assessments of the population exposed to rising rainstorm trends are crucial to mapping extreme precipitation risks. Studying the population exposed to rainstorm hazard areas (RSHA) at the microscale is extremely urgent, due to the local characteristics of extreme precipitation events and regional diversity of the population. The spatial distribution of population density was mapped based on the national population census data from China in 1990, 2000 and 2010. RSHA were also identified using precipitation data from 1975 to 2015 in China, and the rainstorm tendency values were mapped using GIS in this paper. The spatial characteristics of the rainstorm tendencies were then analyzed. Finally, changes in the population in the RSHA are discussed. The results show that the extreme precipitation trends are increasing in southeastern China. From 1990 to 2010, the population in RSHA increased by 110 million, at a rate of 14.6%. The elderly in the region increased by 38 million at a rate of 86.4%. Studying the size of the population exposed to rainstorm hazards at the county scale can provide scientific evidence for developing disaster prevention and mitigation strategies from the bottom up.
format Online
Article
Text
id pubmed-5615500
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-56155002017-09-30 Increase of Elderly Population in the Rainstorm Hazard Areas of China Liang, Pujun Xu, Wei Ma, Yunjia Zhao, Xiujuan Qin, Lianjie Int J Environ Res Public Health Article In light of global warming, increased extreme precipitation events have enlarged the population exposed to floods to some extent. Extreme precipitation risk assessments are of great significance in China and allow for the response to climate change and mitigation of risks to the population. China is one of the countries most influenced by climate change and has unique national population conditions. The influence of extreme precipitation depends on the degree of exposure and vulnerability of the population. Accurate assessments of the population exposed to rising rainstorm trends are crucial to mapping extreme precipitation risks. Studying the population exposed to rainstorm hazard areas (RSHA) at the microscale is extremely urgent, due to the local characteristics of extreme precipitation events and regional diversity of the population. The spatial distribution of population density was mapped based on the national population census data from China in 1990, 2000 and 2010. RSHA were also identified using precipitation data from 1975 to 2015 in China, and the rainstorm tendency values were mapped using GIS in this paper. The spatial characteristics of the rainstorm tendencies were then analyzed. Finally, changes in the population in the RSHA are discussed. The results show that the extreme precipitation trends are increasing in southeastern China. From 1990 to 2010, the population in RSHA increased by 110 million, at a rate of 14.6%. The elderly in the region increased by 38 million at a rate of 86.4%. Studying the size of the population exposed to rainstorm hazards at the county scale can provide scientific evidence for developing disaster prevention and mitigation strategies from the bottom up. MDPI 2017-08-26 2017-09 /pmc/articles/PMC5615500/ /pubmed/28846596 http://dx.doi.org/10.3390/ijerph14090963 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liang, Pujun
Xu, Wei
Ma, Yunjia
Zhao, Xiujuan
Qin, Lianjie
Increase of Elderly Population in the Rainstorm Hazard Areas of China
title Increase of Elderly Population in the Rainstorm Hazard Areas of China
title_full Increase of Elderly Population in the Rainstorm Hazard Areas of China
title_fullStr Increase of Elderly Population in the Rainstorm Hazard Areas of China
title_full_unstemmed Increase of Elderly Population in the Rainstorm Hazard Areas of China
title_short Increase of Elderly Population in the Rainstorm Hazard Areas of China
title_sort increase of elderly population in the rainstorm hazard areas of china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5615500/
https://www.ncbi.nlm.nih.gov/pubmed/28846596
http://dx.doi.org/10.3390/ijerph14090963
work_keys_str_mv AT liangpujun increaseofelderlypopulationintherainstormhazardareasofchina
AT xuwei increaseofelderlypopulationintherainstormhazardareasofchina
AT mayunjia increaseofelderlypopulationintherainstormhazardareasofchina
AT zhaoxiujuan increaseofelderlypopulationintherainstormhazardareasofchina
AT qinlianjie increaseofelderlypopulationintherainstormhazardareasofchina