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中国各省份典型高温城市的综合风险评估。

Comprehensive Risk Assessment of Typical High-Temperature Cities in Various Provinces in China.

机构信息

School of Public Administration, Hebei University of Economics and Business, Shijiazhuang 050061, China.

Collaborative Innovation Center of Urban-Rural Integration Development, Hebei University of Economics and Business, Shijiazhuang 050061, China.

出版信息

Int J Environ Res Public Health. 2022 Apr 3;19(7):4292. doi: 10.3390/ijerph19074292.

DOI:10.3390/ijerph19074292
PMID:35409974
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8998455/
Abstract

Global climate change results in an increased risk of high urban temperatures, making it crucial to conduct a comprehensive assessment of the high-temperature risk of urban areas. Based on the data of 194 meteorological stations in China from 1986 to 2015 and statistical yearbooks and statistical bulletins from 2015, we used GIS technology and mathematical statistics to evaluate high-temperature spatial and temporal characteristics, high-temperature risk, and high-temperature vulnerability of 31 cities across China. Over the past 30 years, most Chinese cities experienced 5-8 significant oscillation cycles of high-temperature days. A 15-year interval analysis of high-temperature characteristics found that 87% of the cities had an average of 5.44 more high-temperature days in the 15-year period from 2001 to 2015 compared to the period from 1986 to 2000. We developed five high-temperature risk levels and six vulnerability levels. Against the background of a warming climate, we discuss risk mitigation strategies and the importance of early warning systems.

摘要

全球气候变化导致城市高温风险增加，因此对城市高温风险进行全面评估至关重要。本研究基于中国 1986-2015 年 194 个气象站和 2015 年统计年鉴、统计公报的数据，利用 GIS 技术和数理统计方法，评估了中国 31 个城市高温的时空特征、高温风险和高温脆弱性。过去 30 年，中国大部分城市都经历了 5-8 次高温日显著震荡周期。通过 15 年时间间隔分析高温特征发现，2001-2015 年与 1986-2000 年相比，87%的城市高温日平均增加了 5.44 天。本研究划分了五个高温风险等级和六个脆弱性等级。在气候变暖的背景下，我们讨论了风险缓解策略和预警系统的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/2fddad76e9c4/ijerph-19-04292-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/9b1215a459fb/ijerph-19-04292-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/162bc3b10dc9/ijerph-19-04292-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/7b9b1b9e80b3/ijerph-19-04292-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/52ff5e0fcf5c/ijerph-19-04292-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/abb1f4008f45/ijerph-19-04292-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/a3c612f75069/ijerph-19-04292-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/6c36c7edaf0a/ijerph-19-04292-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/2fddad76e9c4/ijerph-19-04292-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/9b1215a459fb/ijerph-19-04292-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/162bc3b10dc9/ijerph-19-04292-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/7b9b1b9e80b3/ijerph-19-04292-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/52ff5e0fcf5c/ijerph-19-04292-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/abb1f4008f45/ijerph-19-04292-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/a3c612f75069/ijerph-19-04292-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/6c36c7edaf0a/ijerph-19-04292-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad32/8998455/2fddad76e9c4/ijerph-19-04292-g008.jpg

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