WANG Tingyun,WANG Yongqian,WANG Yu,et al.GIS-based Flood Disaster Risk Assessment in Hengyang City Hunan Province[J].Journal of Chengdu University of Information Technology,2026,41(02):246-252.[doi:10.16836/j.cnki.jcuit.2026.02.016]
基于GIS的湖南省衡阳市洪涝灾害风险评价研究
- Title:
- GIS-based Flood Disaster Risk Assessment in Hengyang City Hunan Province
- 文章编号:
- 2096-1618(2026)02-0246-07
- Keywords:
- GIS; FAHP; floods; risk assessment; Hengyang City
- 分类号:
- X43; P333.2
- 文献标志码:
- A
- 摘要:
- 近年来洪涝灾害频发且造成较大损失。对洪涝灾害进行风险评估,采取相应措施减少损失已刻不容缓。以湖南省衡阳市为研究区,利用2006-2022年逐日降雨数据与经济数据,结合遥感影像与DEM高程数据等,从致灾因子危险性、孕育环境敏感性、承载体脆弱性3个准则层利用FAHP(fuzzy analytic hierarchy process)模糊层次分析法分析降雨、河网密度、土地利用类型、坡度、人口密度和地均GDP 6个影响因子对洪涝灾害的影响。结论表明:洪涝灾害风险等级最小值为0.19,最大值为0.76,发生高风险面积占9%左右。南岳区风险等级最高,平均月均降雨量近190 mm,与历史数据比对,1960-2010年任一个10年发生洪涝灾害数量最多的是南岳区。对比是否引入脆弱性因子两种结果,总体趋势一致,但前者更细致。总体来说,大部分洪涝灾害风险高的地方都是在降雨量大、海拔高等地区。研究结果为衡阳市防灾减灾提供了一些思路,对其他地区洪涝灾害风险评估方面也有借鉴意义。
- Abstract:
- In recent years, floods have occurred frequently and caused great losses. It is urgent to carry out risk assessment of flood disasters and take appropriate measures to reduce losses. Taking Hengyang City, Hunan Province as the study area, using daily rainfall data and economic data from 2006 to 2022, combined with remote sensing images and DEM elevation data, the Fuzzy analytic hierarchy process(FAHP)was used from the three criterion layers of disaster factor risk, environmental sensitivity and carrier vulnerability The fuzzy analytic hierarchy process analyzes the impact of six influencing factors, including rainfall, river network density, land use type, slope, population density and per capita GDP, on flood disasters. The results show that the minimum value of flood disaster risk level is 0.19 and the maximum value is 0.76, and the area of high risk accounts for about 9% of the total area. Nanyue District has the highest risk level, with an average monthly rainfall of nearly 190 mm, and the largest number of flood disasters in any decade from 1960 to 2010 is compared with historical data. Comparing the two results with or without the introduction of vulnerability factors, the overall trend is the same, but the former is more nuanced. In general, most of the places with high flood risk are in areas with high rainfall and high altitudes. The results provide some ideas for disaster prevention and mitigation in Hengyang City and also have reference significance for flood disaster risk assessment in other regions.
参考文献/References:
[1] 周月华,彭涛,史瑞琴.我国暴雨洪涝灾害风险评估研究进展[J].暴雨灾害,2019,38(5):494-501.
[2] 黄毅.基于多源数据的城市洪涝风险等级评估[D].上海:东华理工大学,2022.
[3] 刘安梦云,韩艳,展润青,等.基于模糊综合评价的城市暴雨洪涝风险评估——以河南省新乡市为例[J].测绘,2022,45(5):225-229.
[4] 曲丽英.闽江流域洪涝风险区划快速评估研究[J].中国农村水利水电,2023,(10):30-37+46.
[5] Julian F O,Dennis B,Miriam L S,et al.A Methodological Approach to Municipal Pluvial Flood Risk Assessment Based on a Small City Case Study[J].Sustainability,2020,12(24):10487-10487.
[6] Leis J,Kienberger S.Climate Risk and Vulnerability Assessment of Floods in Austria:Mapping Homogenous Regions,Hotspots and Typologies[J].Sustainability,2020,12(16).
[7] 邓运超,刘旭艳,毕玮,等.基于GIS的莱西市洪涝灾害风险区划[J].科技通报,2020,36(7):21-28.
[8] 刘恒.基于神经网络与遗传算法的洪水分类预报研究[J].水利水电技术,2020.
[9] 唐川,朱静.基于 GIS 的山洪灾害风险区划[J].地理学报,2015,1:87-94.
[10] 阳煜瑾,杨帆,熊素文.基于模糊综合评价的洞庭湖区洪涝灾害风险研究[J].现代信息科技,2022,6(22):116-118.
[11] 刘兰芳,邹君,刘湘南.农业洪涝灾害脆弱性成因分析及评估——以湖南省衡阳市为例[J].长江流域资源与环境,2002(3):291-295.
[12] 王亚梅.基于 GIS 的洞庭湖区洪水灾害风险评价[D].长沙:湖南大学,2009.
[13] 袁四化,王慧彦,刘晓燕,等.基于GIS的滦县地质灾害风险区划[J].然灾害学报,2013,6:142-150.
[14] 赵士鹏.中国山洪灾害系统的整体特征及其危险度区划的初步研究[J].自然灾害学 报,2006,3:95-101.
[15] 史培军.再论灾害研究的理论与实践[J].自然灾害学报,2006,5(4):44-50.
[16] 詹小国,祝国瑞,文余源.综合评价山洪灾害风险的 GIS方法[J].长江科学院院报,2013,6:48-50+64.
[17] 黄杏元,马劲松.地理信息系统概论第三版[M].北京:高等教育出版社,2007.
[18] 麻荣永,张东龙.南宁市洪涝灾害风险评价[J].自然灾害学报,2017,26(3):200-206.
[19] Pratik Dash,Jishnu Sar.Identification and validation of potential flood hazard area using GIS-based multi-criteria analysis and satellite data derived water index[J].Journal of Flood Risk Management,2020,13(3):e12620.
[20] Ziwei L,Xiangling T,Liju L,et al.GIS-based risk assessment of flood disaster in the Lijiang River Basin[J].Scientific Reports,2023,13(1):6160.
备注/Memo
收稿日期:2024-03-19
基金项目:第二次青藏高原综合科学考察研究资助项目(2019QZ KK020612-02)
