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[1]LIU Yihang,HAN Jianqiao,XIE Mengxia,et al.Risk Assessment of Flood Disaster on the Loess Plateau Based on Integration of GIS and AHP[J].Research of Soil and Water Conservation,2023,30(02):129-134.[doi:10.13869/j.cnki.rswc.2023.02.002]

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Risk Assessment of Flood Disaster on the Loess Plateau Based on Integration of GIS and AHP

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 02 Page number: 129-134 Column: Public date: 2023-03-10

Title:: Risk Assessment of Flood Disaster on the Loess Plateau Based on Integration of GIS and AHP

Author(s):: LIU Yihang¹, HAN Jianqiao^1,2, XIE Mengxia¹, SHANG Tianshe¹, ZHAO Xiaoli¹, GE Wenyan^1,2; (1.Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi 712100, China; 2.Institute of Soil and Water Conservation, CAS & MWR, Yangling, Shaanxi 712100, China)

Keywords:: flood disaster; hazard; vulnerability; risk; Loess Plateau

CLC:: P954

DOI:: 10.13869/j.cnki.rswc.2023.02.002

Abstract:: In order to identify the high-risk areas of flood disaster and their distribution characteristics on the Loess Plateau, based on terrain, NDVI, rainfall and socio-economic data, integrated GIS and analytic hierarchy process(AHP), the risk of flood disaster in different areas of the Loess Plateau was comprehensively evaluated on the basis of drawing flood hazard maps and vulnerability maps. The results show that:(1)the overall risk degree of Loess Plateau was medium; middle-risk areas accounted for the highest proportion, about 29.2%; the proportions of high and higher risk areas were 19.9% and 5.7%, and those of low and low risk areas were 17.5% and 27.7%;(2)the flood hazard, vulnerability and risk all showed the decreasing trend from southeast to northwest; the areas with high flood risk were mainly located in Xi'an, Xianyang, Zhengzhou and Yulin;(3)climate characteristics, NDVI and social and economic development are the key factors that determine the risk degree of flood disaster on the Loess Plateau, which should be paid more attention to in the planning and design of disaster prevention and mitigation. In conclusion, the high risk areas of flood disasters mainly concentrated in the central and southern regions of the Loess Plateau, which was roughly consistent with the results of historical flood disasters.

References:: [1] 胡畔,陈波,史培军.中国暴雨洪涝灾情时空格局及影响因素[J].地理学报,2021,76(5):1148-1162.
[2] 冉大川,齐斌,肖培青,等.佳芦河流域特大暴雨洪水对下垫面治理的响应[J].水土保持研究,2015,22(6):7-13.
[3] 王陇,宋孝玉,李蓝君,等.黄土高原沟壑区典型小流域径流变化趋势及归因分析[J].水土保持研究,2021,28(4):48-53.
[4] 姚文艺,侯素珍,郭彦,等.陕北绥德县、子洲县城区2017年“7·26”暴雨致灾成因分析[J].中国防汛抗旱,2018,28(9):27-32.
[5] 石晓静,查小春,郭永强,等.基于GIS的汉江上游安康市洪水灾害风险评价[J].山东农业科学,2017,49(6):88-94.
[6] Ntajal J, Lamptey B L, Mahamadou I B, et al. Flood disaster risk mapping in the lower Mono river basin in Togo, West Africa[J]. International Journal of Disaster Risk Reduction, 2017,23:93-103.
[7] Nguyen H D, Fox D, Dang D K, et al. Predicting future urban flood risk using land change and hydraulic modeling in a river watershed in the central province of Vietnam[J]. Remote Sensing, 2021,13(2).DOI:10.3390/rs13020262.
[8] 刘家福,张柏.暴雨洪灾风险评估研究进展[J].地理科学,2015,35(3):346-351.
[9] 哈斯也提·热合曼,阮新民,库尔班·依明,等.新疆1949—2019年洪水灾害调查与特征分析[J].中国水利水电科学研究院学报,2020,18(5):331-336.
[10] 廖丹霞,杨波,王慧彦,等.基于GIS的河北省滦县洪水灾害风险评价[J].自然灾害学报,2014,23(3):93-100.
[11] Cai T, Li X, Ding X, et al. Flood risk assessment based on hydrodynamic model and fuzzy comprehensive evaluation with GIS technique[J]. International Journal of Disaster Risk Reduction, 2019,35:101077.
[12] David A, Schmalz B. Flood hazard analysis in small catchments: Comparison of hydrological and hydrodynamic approaches by the use of direct rainfall[J]. Journal of Flood Risk Management, 2020,13(4):e12639.
[13] Xu Y, Du J, Zhang L, et al. Research on system of flood disaster control and reduction supported by gis in medium and small basins[J]. Chinese Geographical Science, 2002,12(1):30-34.
[14] 赵广举,穆兴民,田鹏,等.黄土高原植被变化与恢复潜力预测[J].水土保持学报,2021,35(1):205-212.
[15] 田小靖.黄土高原流域侵蚀产沙变化及其驱动因素[D].陕西杨凌:西北农林科技大学,2020.
[16] 焦俏,王飞,李锐,等.ERS卫星反演数据在黄土高原近地表土壤水分中的应用研究[J].土壤学报,2014,51(6):1388-1397.
[17] Han J, Ge W, Hei Z, et al. Agricultural land use and management weaken the soil erosion induced by extreme rainstorms[J]. Agriculture, Ecosystems & Environment, 2020,301:107047.
[18] 杜鹃,何飞,培军.湘江流域洪水灾害综合风险评价[J].自然灾害学报,2006,15(6):38-44.
[19] Bouaida J, Witam O, Ibnoussina M, et al. Contribution of remote sensing and GIS to analysis of the risk of flooding in the Zat basin(High Atlas-Morocco)[J]. Natural Hazards, 2021,108(2):1835-1851.
[20] 丁纪龙.渭河流域洪水灾害风险性研究[D].山东烟台:鲁东大学,2017.
[21] 王建华.基于模糊综合评判法的洪水灾害风险评估[J].水利科技与经济,2009,15(4):338-340.
[22] 李清秀.山东黄河段沿线区域洪灾风险评价与防洪措施[D].河南开封:河南大学,2012.
[23] Zhu Z, Zhang Y. Flood disaster risk assessment based on random forest algorithm[J]. Neural Computing and Applications, 2022,34(5):3443-3455.
[24] 党维勤,党恬敏,张泉,等.“7·26”暴雨调查对黄土高原水土保持工作的启示[J].中国水土保持,2021(3):24-27.
[25] 程曌,章彩霞.安徽歙县“2020·7·7”暴雨洪水过程分析[J].中国防汛抗旱,2021,31(2):17-21.
[26] 尚全民,褚明华,骆进军,等.2020年长江流域性大洪水防御[J].人民长江,2020,51(12):15-20.

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Last Update: 2023-03-10