LIN Xiaosong,CUI Mengrui,MOU Fengyun,et al.Assessment of Hazard of Flash Flood Disaster in Wushan County Based on Multi-Scenarios[J].Research of Soil and Water Conservation,2018,25(06):370-376.
基于多情景的巫山县山洪灾害危险评价
- Title:
- Assessment of Hazard of Flash Flood Disaster in Wushan County Based on Multi-Scenarios
- Keywords:
- environmental hydraulics; hazard assessment; scenario simulation; flash flood disaster; Wushan County
- 分类号:
- P426.616;P954
- 摘要:
- 以重庆市巫山县为研究区，构建了静态动态山洪灾害危险评价指标，按照48 h降雨量为50，100，150，200，250 mm这5种情景，模拟获取了研究区地表汇流累积量；采用空间叠加法计算了各网格单元山洪灾害危险指数值并将山洪灾害危险划分为高、中、低危险和基本安全4个等级。研究结果表明：巫山县山洪灾害以低危险和中危险等级为主，但中、高危险面积相对较大，达总面积的39%；在48 h降雨量由50 mm增加到250 mm的过程中，基本安全面积基本不变，低危险面积稍有降低，中危险面积减少10.425 1 km2，而高危险区面积则显著增加13.727 5 km2；从各乡镇来看，中、高危险面积所占比例超过40%的达10个乡镇，且危险指数相对较高的乡镇主要集中在研究区的南部和西部；从各行政村来看，评价结果与历史灾害分布情况吻合相对较好，同时危险指数值大于1.7的村占总数的54.11%。研究结果从不同尺度、多情景体现了巫山县山洪灾害的危险分布，可为研究区山洪灾害防治提供科学依据，具有一定借鉴和指导意义。
- Abstract:
- Taking Wushan County of Chongqing as the research area, we constructed static and dynamic hazard assessment index for flash flood disaster. Based on the five conditions of precipitation (50 mm, 100 mm, 150 mm, 200 mm and 250 mm in 48 hours), we took the land use and soil type factors into account and simulated the cumulative amount of surface runoff in the study area. We calculated the flash flood disaster hazard index value of each evaluation unit in the research area by using the spatial superposition method, and classified the risk of flash flood disaster into four levels of high hazard, medium hazard, low hazard and basic security based on the threshold value. The results showed that mountain flash flood disasters in Wushan County were dominated by low risk and medium risk areas, but areas with the medium and high risks were relatively large, up to 39% of the total area. while the precipitation increased from 50 mm to 250 mm within 48 hours, the area with basic security was basically unchanged, the area with low risk slightly reduced, the area with medium risk reduced by 10.425 1 km2, the area with high risk significantly increased by 13.727 5 km2. On the township scale, there were 10 townships which contained medium and high risk areas accounting for 40% of the total area. The towns which held relatively high risk indices were mainly located in the south and west of the study area. On the administrative village scale, the results of the evaluation were in good agreement with the distribution of historical disasters, while the risk index value more than 1.7 of the total number of villages accounted for 54.11%. The results from different scales and multi-scenarios reflected the hazards distribution of mountain torrents in Wushan County, which could provide the scientific basis for the prevention and control of mountain torrential disasters in the research area and had some guiding significances.
参考文献/References:
[1] Garambois P A, Larnier K, Roux H, et al. Analysis of flash flood-triggering rainfall for a process-oriented hydrological model[J]. Atmospheric Research, 2014,137:14-24.
[2] 杜俊,丁文峰,任洪玉.四川省不同类型山洪灾害与主要影响因素的关系[J].长江流域资源与环境,2015,24(11):1977-1983.
[3] 蔡维英,刘兴朋,张继权.基于分布式SCS模型的山地景区山洪灾害模拟研究[J].灾害学,2016,31(2):15-18.
[4] Azmeri, Hadihardaja I K, Vadiya R. Identification of flash flood hazard zones in mountainous small watershed of Aceh Besar Regency, Aceh Province, Indonesia[J]. Egyptian Journal of Remote Sensing & Space Sciences, 2016,19(1):143-160.
[5] 林孝松,林庆,王梅力,等.山区镇域山洪灾害危险性分区研究:以跳石镇为例[J].自然灾害学报,2015,24(3):90-96.
[6] Zhang D, Quan J, Zhang H, et al. Flash flood hazard mapping:A pilot case study in Xiapu River Basin, China[J]. Water Science and Engineering, 2015,8(3):195-204.
[7] 黄国如,冼卓雁,成国栋,等.基于GIS的清远市瑶安小流域山洪灾害风险评价[J].水电能源科学,2015,33(6):43-47.
[8] 岳琦,张林波,刘成程,等.基于GIS的福建闽江上游山洪灾害风险区划[J].环境工程技术学报,2015,5(4):293-298.
[9] 赵瑜,喻块块,张建伟.基于县域的山洪灾害风险区划研究[J].水电能源科学,2017,35(1):61-64.
[10] 刘少军,张京红,张明洁,等. DEA模型在山洪灾害危险性评价中的应用:以海南岛为例[J].自然灾害学报,2014,23(4):227-234.
[11] 叶金印,李致家,吴勇拓.一种用于缺资料地区山洪预警方法研究与应用[J].水力发电学报,2013,32(3):15-19.
[12] 唐川,朱静.基于GIS的山洪灾害风险区划[J].地理学报,2005,60(1):87-94.
[13] 杜俊,任洪玉,张平仓,等.大空间尺度山洪灾害危险评估的比较研究[J].灾害学,2016,31(3):66-72.
[14] 高展,许剑勇,王胜,等.黄山风景区暴雨山洪灾害风险区划研究[J].暴雨灾害,2015,34(3):281-285.
[15] 左倩云,林孝松,韩赜,等.山区镇域山洪灾害危险评价研究[J].绿色科技,2014(2):223-227.
[16] Weiss A. Topographic Position and Landforms Analysis[R]. San Diego, Ca:Ersi User Conference, 2001.
备注/Memo
收稿日期:2017-12-02;改回日期:2018-02-04。
基金项目:国家自然科学基金“山区县域公路洪灾形成机制研究”（41601564）；国家自然科学基金校内培育项目“中小尺度山洪灾害链复杂演化机制及综合灾情评估研究”（2018PY15）；重庆市基础研究与前沿探索项目（cstc2018jcyjAX0156）
作者简介:林孝松(1976-),男(苗族),湖南绥宁人,教授,博士,主要从事自然灾害方面的研究。E-mail:lxsgis@163.com