[1]陈绍河,李艳兰,谢敏,等.广西台风灾害的暴露度和脆弱性特征[J].气象研究与应用,2024,45(03):50-56.[doi:10.19849/j.cnki.CN45-1356/P.2024.3.07]
 CHEN Shaohe,LI Yanlan,XIE Min,et al.Exposure and vulnerability characteristics of typhoon disaster in Guangxi[J].Journal of Meteorological Research and Application,2024,45(03):50-56.[doi:10.19849/j.cnki.CN45-1356/P.2024.3.07]
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广西台风灾害的暴露度和脆弱性特征()
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气象研究与应用[ISSN:1673-8411/CN:45-1356/P]

卷:
第45卷
期数:
2024年03期
页码:
50-56
栏目:
研究论文
出版日期:
2024-09-15

文章信息/Info

Title:
Exposure and vulnerability characteristics of typhoon disaster in Guangxi
作者:
陈绍河1 李艳兰2 谢敏2 李高卓3 李祖敏4 王云琳1
1. 防城港市气象局, 广西 防城港 538000;
2. 广西壮族自治区气候中心, 南宁 530022;
3. 东兴市气象局, 广西 东兴 538100;
4. 贵港市气象局, 广西 贵港 537110
Author(s):
CHEN Shaohe1 LI Yanlan2 XIE Min2 Li Gaozhuo3 Li Zhumin4 WANG Yunlin1
1. Fangchenggang Meteorological Bureau, Guangxi Fangchenggang 538000, China;
2. Guangxi Climate Center, Nanning 530022, China;
3. Dongxing Meteorological Bureau, Guangxi Dongxing 538100, China;
4. Guigang Meteorological Bureau, Guangxi Guigang 537110, China
关键词:
台风灾害暴露度脆弱性特征
Keywords:
typhoon disasterexposurevulnerabilitycharacteristics
分类号:
P429
DOI:
10.19849/j.cnki.CN45-1356/P.2024.3.07
文献标志码:
10.19849/j.cnki.CN45-1356/P.2024.3.07
摘要:
利用2001—2020年广西台风灾害灾情和人口、社会经济数据,统计分析广西台风灾害农作物、人口和经济的暴露度和脆弱性特征。结果表明:(1)2011—2020年,广西年均台风灾害受灾人口、农作物受灾面积、直接经济损失分别比上一个10 a平均减少57.3%、6.7%、1.7%,但极端灾害时有发生。(2)2011—2020年,广西台风灾害暴露度地域差异性较大。年均农作物暴露度高值区主要分布在桂中,桂西北最低。年均人口暴露度高值区主要分布在南宁、柳州、桂林和北海等人口密集的城市中心及桂东南地区,桂西北较低。经济暴露度分布特征与人口暴露度相似。(3)2011—2020年广西台风灾害的多年平均农作物、人口和经济脆弱性分别为4.4%、5.19%和0.21%。农作物和经济脆弱性较高的地区分布在沿海地区和崇左市,人口脆弱性较高的区域分布在桂南地区。2016—2020年与2011—2015年相比,整体均在减小。沿海地区和崇左市需重点防范台风灾害,提高防灾减灾能力,降低灾害风险。
Abstract:
Based on the data of typhoon disaster, population and social economy in Guangxi from 2001 to 2020, the exposure and vulnerability characteristics of crops, population and economy in typhoon disaster in Guangxi were statistically analyzed. The results showed that: (1) from 2011 to 2020, the annual average typhoon disaster-affected population, crop-affected area and direct economic loss in Guangxi decreased by 57.3%, 6.7% and 1.7%, respectively, compared with the previous 10 years, but extreme disasters occurred from time to time. (2) The geographical variability of typhoon disaster exposure were large in Guangxi from 2011 to 2020. The areas of high annual average crop exposure were mainly distributed in central Guangxi, and the lowest in northwest Guangxi. The areas of high average annual population exposure were mainly distributed in densely populated urban centers such as Nanning, Liuzhou, Guilin and Beihai and southeastern Guangxi, and the lower in Northwest Guangxi. The distribution characteristics of economic exposure were similar to that of population exposure. (3) The multi-year average crop, population and economic vulnerability to typhoon disasters in Guangxi from 2011 to 2020 were 4.4%, 5.19% and 0.21%, respectively. The areas with the high vulnerability of crops and economy were distributed in coastal areas and Chongzuo City, and the areas with high population vulnerability were distributed in southern Guangxi. All of them were decreasing in 2016—2020 compared with 2011—2015. Therefore, coastal areas and Chongzuo need to focus on preventing typhoon disasters, improve disaster prevention and mitigation capabilities, and reduce disaster risks.

参考文献/References:

[1] 王慧民.福建省近500a台风灾害多尺度时空数据库构建及动态分析[D].福州:福建师范大学,2013.
[2] 廖梦祺,李广桃.2008—2019年影响南宁市台风灾害特征分析[J].气象研究与应用,2021,42(4):62-67.
[3] 牛海燕,刘敏,陆敏,等.中国沿海地区近20年台风灾害风险评价[J].地理科学,2011,31(6):764-768.
[4] 徐庆娟,潘金兰,刘合香. 基于二维云信息扩散和三维信息扩散的台风灾害风险估计[J]. 气象研究与应用, 2021,42(3):23-30.
[5] 岳心阳,管长龙. 基于1985—2010年历史资料的山东省台风灾害风险评估[J].中国海洋大学学报(自然学科版),2014,44(8):1-10.
[6] 陈燕璇,刘合香,倪增华. 基于Copula熵因子选取的PSO-ELM台风灾情预测模型[J]. 气象研究与应用, 2019,40(2):7-11,55.
[7] 李艳兰,金龙,史旭明,等.基于遗传—神经网络方法的广西台风灾害评估模型研究[J]. 气象与环境学报, 2021,37(3):139-144.
[8] 李明华,王书欣,徐婷,等.深圳台风灾害综合风险预报预警服务探索与实践[J]. 气象研究与应用,2024,45(2):68-72.
[9] 徐良炎,高歌. 近50年台风变化特征及灾害年景评估[J].气象,2005,31(3):42-45.
[10] 李广桃,廖梦祺,卢耀健,等.2007-2019年桂南县域台风灾害特征统计分析[J].南宁师范大学学报(自然科学版),2021,38(3):44-53.
[11] 李菁,陈建伟,祁丽燕. 基于灰色关联分析的不同路径台风灾害研究[J].灾害学,2017,32(2):48-53.
[12] 郑菲,孙诚,李建平. 从气候变化的新视角理解灾害风险、暴露度、脆弱性和恢复力[J]. 气候变化研究进展, 2012,8(2):79-83.
[13] 陈楷俊,陈艺仪,陈菁.近30年粤东地区台风灾害风险评估与分析[J]. 水土保持研究,2019,26(3):362-366, 372.
[14] 叶金玉,王舒凡,丁凤. 基于空间参数的中国沿海地区台风灾害暴露性分析[J].防灾科技学院学报,2019,21(1):82-88.
[15] 莫建飞,黄思琦,钟仕全,等.基于GIS的精细化广西台风灾害承灾体脆弱性评价[J]. 暴雨灾害,2017,36(2): 177-181.
[16] 史培军.气候变化风险及其综合防范[J].保险理论与实践,2016(1):69-85.
[17] 石勇,许世远,石纯,等.沿海区域水灾脆弱性及风险的初步分析[J].地理科学,2009,29(6):853-857.
[18] 顾流碗,王春,李伟涛. 安徽省淮河流域水灾脆弱性特征及影响因素[J].水土保持通报,2012,32(5):71-74.
[19] 葛全胜,邹铭,郑景云,等.中国自然灾害风险综合评估初步研究[M].北京:科学出版社,2008.
[20] 王艳君,高超,王安乾,等.中国暴雨洪涝灾害的暴露度与脆弱性时空变化特征[J].气候变化研究进展,2014, 10(6):391-398.
[21] 陈见,孙红梅,高安宁,等.超强台风“威马逊”与“达维” 进入北部湾强度变化的对比分析[J].暴雨灾害,2014, 33(4):392-400.

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备注/Memo

备注/Memo:
收稿日期:2023-12-9。
基金项目:广西气象科研计划项目(桂气科2023ZL04)、广西自然科学基金(2020GXNSFAA297122)、广西气象科研计划创新平台专项(BNCO-N202302)、广西台风与海洋预报服务创新团队项目
作者简介:陈绍河(1986-),高级工程师,主要从事短期天气预报及气候分析。E-mail:csh2005nuist@163.com
通讯作者:李艳兰(1972-),正高级工程师,主要从事气候监测评价、评估和气候变化研究。E-mail:gxnnyanlan@163.com
更新日期/Last Update: 2024-09-15