基于情景分析的区域洪涝灾害风险评价——以巢湖流域为例

doi:10.11870/cjlyzyyhj201508022

摘要/Abstract

摘要： 洪涝灾害是制约区域粮食安全和社会可持续发展的主要因子之一。在风险识别的基础上,从致灾因子、孕灾环境、承灾体等方面选取评价指标,建立评价指标体系。运用层次分析法确定指标权重,通过情景分析技术从降水、土地利用、人口、GDP等方面构建复合情景;应用GIS空间分析技术构建洪涝灾害风险评价模型,对巢湖流域洪涝灾害风险进行评价。研究结果表明:2020年巢湖流域洪涝灾害危险性由东南部向西北部减小;合肥市区的洪涝灾害易损性最大,和县的易损性最小。巢湖流域东南部洪涝灾害风险最大,西南部的大别山区风险较小,随着重现期的增大,流域的洪涝灾害风险也逐渐增大。模拟灾害发生的情景,并分析不同情景下的洪涝灾害风险,更能体现洪涝灾害的不确定性和变化性,为流域防洪战略决策研究提供科学依据。

关键词: 情景分析, 洪涝灾害, 风险评价, 巢湖流域

Abstract: Flood disaster is one of the main factors restricting regional food security and social sustainable development. The Chaohu Basin is suffering from frequent and severe floods. Floods often take place around rivers and plains, which indicates a higher risk of flooding in these areas. A lot of studies have been done in the field of flood disaster, including flood risk assessment. Methods of flood risk assessment mainly include probability statistics from the historical disaster data, hydrologic and hydraulic models and flood simulation, geo-spatial information technology, the index system, scenarios drivers as well as mathematical method. Based on risk identification, evaluation index is selected and evaluation index system is established from hazard factors, disaster environment and hazard bearing body in this paper. Evaluation indicators are mainly precipitation, terrain, river, flood, land use, population, GDP etc. Evaluation index weights are determined by using the analytic hierarchy process (AHP). Using the Pearson-Ⅲ model, Marko-CA model and ArcGIS spatial analyst tools, flood risk complex scenarios are proposed and presented from different return period precipitation, land use, population and GDP. Based on GIS spatial analysis technology, the analytic hierarchy process and spatial raster data, flood disaster risk assessment model is constructed to evaluate the flood risk in the Chaohu Basin. The results show that flood hazard distribution pattern is reduced from southeast to northwest. The plain area along the Yangtze River of the southeastern basin has the maximum risk. The vulnerability of flood is greater with greater return period. Economic vulnerability of Hefei City is the biggest, followed by Wuwei County but the He Countys vulnerability is smaller. The 30-year flood risk has a maximum of 4.37, the 50-year flood risk has a maximum of 4.49, and the 100-year flood risk maximum value is 4.65. The risk of flood disaster becomes greater with greater return period. Flood risk reduces from southeast to northwest in Chaohu basin in 2020. High risk is in southeast of the Chaohu Basin, and low risk areas are mainly distributed in Dabieshan mountain of southwest of the Chaohu Basin. With the increase of return period, flood disaster risk gradually increases. Through a comprehensive analysis on the influencing factors of flood disasters in the Chaohu Basin, the main causes underlying the flood disaster change is explored. Simulating disaster scenario and analyzing flood risk under different scenarios can reflect flood uncertainty and variability. It also can provide a scientific base for the policy making and implementation of flood prevention and mitigation designs.

Key words: scenario analysis, flood disaster, risk assessment, Chaohu Basin

中图分类号:

程先富, 戴梦琴, 郝丹丹, 吴庆双. 基于情景分析的区域洪涝灾害风险评价——以巢湖流域为例[J]. 长江流域资源与环境, 2015, 24(08): 1418-1424.

CHENG Xian-fu, DAI Meng-qin, HAO Dan-dan, WU Qing-shuang. REGIONAL FLOOD RISK ASSESSMENT BASED ON SCENARIO ANALYSIS——A CASE STUDY OF CHAOHU BASIN[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2015, 24(08): 1418-1424.

参考文献

[1] 史培军.三论灾害研究的理论与实践[J].自然灾害学报,2002,11(3):1-9.
[2] 黄崇福,郭君,艾福利,等.洪涝灾害风险分析的基本范式及其应用[J].自然灾害学报,2013,22(4):11-23.
[3] 周成虎,万庆,黄诗峰,等.基于GIS的洪水灾害风险区划研究[J].地理学报,2000,55(1):15-24.
[4] 盛绍学,石磊,刘家福,等.沿淮湖泊洼地区域暴雨洪涝风险评估[J].地理研究,2010,29(3):416-422.
[5] 王翠莲,刘晓.随机利率下离散时间保险风险模型[J].安徽师范大学学报(自然科学版),2007,30(1):19-21.
[6] 刘家福,李京,刘荆,等.基于GIS/AHP集成的洪水灾害综合风险评价——以淮河流域为例[J].自然灾害学报,2009,17(6):110-114.
[7] 徐文莉.基于最大熵方法的DaR风险度量模型[J].安徽师范大学学报(自然科学版),2007,30(1):21-24.
[8] 张海玉,程先富,马武.洪涝灾害经济易损性模糊评价——以安徽沿长江地区为例[J].灾害学,2010,25(1):30-33.
[9] 黄崇福,刘新立,周国贤,等.以历史灾情资料为依据的农业自然灾害风险评估方法[J].自然灾害学报,1998,7(2):1-9.
[10] LUGERI N,KUNDZEWICZ Z W,GENOVESE E,et al.River flood risk and adaptation in Europe-assessment of the present status[J].Mitigation and Adaptation Strategies for Global Change,2010,15(7):621-639.
[11] SINHA R,BAPALU G V,SINGH L K,et al.Flood risk analysis in the Kosi river basin,north Bihar using multi-parametric approach of analytical hierarchy process (AHP)[J].Journal of the Indian Society of Remote Sensing,2008,36(4):335-349.
[12] PANDEY A C,SINGH S K,NATHAWAT M S.Waterlogging and flood hazards vulnerability and risk assessment in Indo Gangetic plain[J].Natural Hazards,2010,55(2):273-289.
[13] FEYEN L,DANKERS R,BÓDIS K,et al.Fluvial flood risk in Europe in present and future climates[J].Climatic Change,2012,112(1):47-62.
[14] 赵思健,黄崇福,郭树军.情景驱动的区域自然灾害风险分析[J].自然灾害学报,2012,21(1):9-17.
[15] 王义成,丁志雄,李蓉.基于情景分析技术的太湖流域洪水风险动因与响应分析研究初探[J].中国水利水电科学研究院学报,2009,7(1):7-14.
[16] 石勇,许世远,石纯,等.基于情景模拟的上海中心城区居民住宅的暴雨内涝风险评价[J].自然灾害学报,2011,20(3):177-182.
[17] 尹占娥,许世远,殷杰,等.基于小尺度的城市暴雨内涝灾害情景模拟与风险评估[J].地理学报,2010,65(5):553-562.
[18] 陈实,高超,黄银兰.巢湖流域极端降水事件的时空变化趋势分析[J].人民黄河,2014,36(5):27-30.
[19] 李祥,王心源,李玉龙,等.基于灰色一马尔科夫预测模型的巢湖流域洪涝灾害预测研究[J].水文,2006,26(4):43-46.
[20] 贾铁飞,施汶妤,郑辛酉,等.近600年来巢湖流域旱涝灾害研究[J].地理科学,2012,32(1):66-73.
[21] 袁媛,王心源,李祥,等.巢湖流域旱涝时空特性分析[J].灾害学,2007,22(2):97-100.
[22] 丁祖芬,朱必翔,吴志传.巢湖地区洪涝灾害成因及减灾抗灾对策[J].安徽农业科学,2000,28(1):39-40.

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