[1]裴惠娟,陈晋,李雯,等.甘肃省暴雨洪水时空分布及风险评估[J].自然灾害学报,2017,(03):167-175.[doi:10.13577/j.jnd.2017.0320]
 PEI Huijuan,CHEN Jin,LI Wen,et al.Spatiotemporal pattern and risk assessment of storm flood in Gansu Province[J].,2017,(03):167-175.[doi:10.13577/j.jnd.2017.0320]
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甘肃省暴雨洪水时空分布及风险评估
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《自然灾害学报》[ISSN:/CN:23-1324/X]

卷:
期数:
2017年03期
页码:
167-175
栏目:
出版日期:
2017-06-28

文章信息/Info

Title:
Spatiotemporal pattern and risk assessment of storm flood in Gansu Province
作者:
裴惠娟1 陈晋2 李雯2 孙艳萍2 陈文凯2
1. 中国科学院兰州文献情报中心, 甘肃 兰州 730000;
2. 中国地震局兰州地震研究所, 甘肃 兰州 730000
Author(s):
PEI Huijuan1 CHEN Jin2 LI Wen2 SUN Yanping2 CHEN Wenkai2
1. Lanzhou Library of Chinese Academy of Sciences, Lanzhou 730000, China;
2. Lanzhou Institute of Seismology, China Earthquake Administration, Lanzhou 730000, China
关键词:
甘肃省暴雨洪水时空分布灾害风险评估
Keywords:
Gansu Provincestorm floodspatiotemporal distributiondisasterrisk assessment
分类号:
P246.6;X43
DOI:
10.13577/j.jnd.2017.0320
摘要:
利用甘肃省1951-2008年的降雨资料,基于GIS平台进行了暴雨洪水灾害的时空分布特征分析,基于层次分析法建立了区域暴雨洪水灾害风险评估指标体系,对甘肃省暴雨洪水灾害进行了风险评价。研究结果表明:(1)甘肃省58 a中只有3 a没有暴雨记录,其他年份均有暴雨发生,甘肃省记录的日最大降雨量为167 mm,发生在平凉市;(2)近60 a来甘肃省暴雨量在空间上呈现从西向东逐渐增大的态势,累计暴雨量以庆阳市为最高,依次为平凉市、天水市和陇南市;(3)甘肃省暴雨洪水灾害综合风险最高的地区为临夏州、天水市、平凉市、庆阳市部分地区、兰州市局部地区和陇南市部分地区,其面积为2.95万km2,百分比为6.77%;中等及较高风险地区面积分别为6.57万km2和4.64万km2,其面积百分比为15.05%与10.62%;较低和低风险区所占面积为29.51万km2,所占面积百分比为67.56%。(4)甘肃省暴雨洪水灾害高风险区面积不大,但危害性较高,这些区域为该省主要的人口聚集地和重要的农业生产基地,对社会经济发展的影响较大,而综合风险较低的区域则多为戈壁滩和沙漠,人类活动较少,对社会经济影响较小。
Abstract:
Using rainfall data of Gansu Province from 1951 to 2008, spatiotemporal distribution characteristics analysis of rainstorm and flood disaster was carried out based on GIS platform. The index system of regional rainstorm and flood disaster risk assessment was established on the basis of analytic hierarchy process, and risk assessment of the rainstorm and flood disasters in Gansu Province was conducted. The results show that:(1)Except three years without rainstorm, the latter occurrs almost every year during past 58 years in Gansu Province. The daily maximum rainfall recorded is 167 mm, which occurrs in Pingliang City. (2)In recent 60 years, the rainstorm amount in Gansu Province increases gradually from west to east, with the highest volume in Qingyang City, then Pingliang City, Tianshui City and Longnan City in turn. (3)The comprehensive risk of rainstorm and flood disaster is highest in Linxia Prefecture, Tianshui City, Pingliang City, and parts of Qingyang City, Lanzhou City and Longnan City, their areas are 2.95×104 km2, accounting for 6.77% of total area. Regions with middle and high risk are 6.57×104 km2 and 4.64×104 km2, accounting for 15.05% and 10.62%, respectively. Regions with lower and the lowest risk covers 29.51×104 km2, accounting for 67.56%. (4)Land area with high risk of rainstorm and flood disasters in Gansu Province are limited, but the danger is higher, because these areas are main population centers and major agricultural production bases, and have large effects on the socio-economic development. Lower risk area are mainly distributed in the gobi and desert, with fewer human activities and less impact on social economy.

参考文献/References:

[1] 蒲金涌, 苗具全, 姚小英, 等. 甘肃省暴雨洪水灾害分布特征研究. 灾害学, 2006, 21(1):27-31. PU Jinyong, MIAO Juquan, YAO Xiaoying, et al. A study on characteristics of distribution of rainstorm and flood disasters in Gansu Province. Journal of Catastrophology, 2006, 21(1):27-31. (in Chinese)
[2] 赵映东. 甘肃省暴雨洪水灾害的特点及防治. 甘肃科学学报, 2007, 19(3):80-82. ZHAO Yingdong. Characteristics of rainstorm and flood disasters in gansu province and controlling strategies. Journal of Gansu Sciences, 2007, 19(3):80-82. (in Chinese)
[3] John W. Handmer. Flood hazard maps as public information:an assessment within the context of the Canadian flood damage reduction program. Canadian Water Resources Journal, 1980, 5(4):82-110.
[4] Shigeko Haruyama, Hiroshi Ohokura, Tongchai Simking, et al. Geomorphological zoning for flood inundation using satellite data. GeoJournal, 1996, 38(3):273-278.
[5] V.Anselmoa, G. Galeatib, S. Palmieri, et al. Flood risk assessment using an integrated hydrological and hydraulic modelling approach:a case study. Journal of Hydrology, 1996, 175(4):533-554.
[6] Gerardo Benito, Michel Lang, MarianoBarriendos, et al. Use of systematic, palaeo flood and historical data for the improvement of flood risk estimation. review of scientific methods. Natural Hazards, 2004, 31(3):623-643.
[7] 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. 自然灾害学报, 1998, 7(2):4-12. HUANG Chongfu, LIU Xinli, ZHOU Guoxian, et al. Agricultural natural disater risk assessment method according to the historic disaster data. Journal of Natural Disasters, 1998, 7(2):4-12. (in Chinese)
[8] 丁燕, 史培军. 台风灾害的模糊风险评估模型. 自然灾害学报, 2002, 11(1):34-43. DING Yan, SHIPeijun. Fuzzy risk assessment model of typhoon hazard. Journal of Natural Disasters, 2002, 11(1):34-43. (in Chinese)
[9] 蒋卫国, 李京, 陈云浩, 等. 区域洪水灾害风险评估体系(Ⅰ)-原理与方法. 自然灾害学报, 2008, 17(6):57-63. JIANG Weiguo, LI Jing, CHEN Yunhao, et al. Risk assessment system for regional flood disaster(Ⅰ):principle and method. Journal of Natural Disasters, 2008, 17(6):57-63. (in Chinese)
[10] 蒋卫国, 李京, 武建军, 等. 区域洪水灾害风险评估体系(Ⅱ)-模型与应用. 自然灾害学报, 2008, 17(6):109-113. JIANG Weiguo, LI jing, WU Jianjun, et al. Risk assessment system for regional flood disaster(Ⅱ):model and application. Journal of Natural Disasters, 2008, 17(6):109-113. (in Chinese)
[11] 文世勇, 赵冬至, 张丰收, 等. 赤潮灾害风险评估方法. 自然灾害学报, 2009, 18(1):108-113. WEN Shiyong, ZHAO Dongzhi, ZHANG Fengshou, et al. Risk assessment method of ham fulalgal bloom hazard. Journal of Natural Disasters, 2009, 18(1):108-113. (in Chinese)
[12] 彭贵芬, 余美兰, 彭勃, 等. 云南省冰冻灾害气象条件及风险评估-基于模糊信息分配方法的研究. 自然灾害学报, 2012, 21(2):150-156. PENG Guifen, YU Meilan, PENG Bo, et al. Meteorological conditions and risk assessment of frost hazards in yunnan province:research based on fuzzy information distribution method. Journal of Natural Disasters, 2012, 21(2):150-156. (in Chinese)
[13] 董鹏捷, 王建捷. 北京地区冰雹灾害风险评估模型及风险区划. 暴雨灾害, 2012, 31(1):29-34. DONG Pengjie, WANG Jianjie. Risk assessment model and regionalization of hail disaster in Beijing area. Torrential Rain and Disasters, 2012, 31(1):29-34. (in Chinese)
[14] 莫建飞, 陆甲, 李艳兰, 等. 基于GIS的广西农业暴雨洪涝灾害风险评估. 灾害学, 2012, 27(1):38-43. MO Jianfei, LU Jia, LI Yanlan, et al. GIS-based assessment of agricultural flood and water-logging risk in guangxi. Journal of Catastrophology, 2012, 27(1):38-43. (in Chinese)
[15] 樊高峰, 何月, 顾骏强. 基于GIS的浙江省暴雨灾害及其危险性评价. 中国农学通报, 2012, 28(32):293-299. FAN Gaofeng, HE Yue, GU Junqiang. The rainstorm disaster and Its risk assessment based on GIS in zhejiang province. Chinese Agricultural Science Bulletin, 2012, 28(32):293-299. (in Chinese)
[16] 扈海波, 张艳莉. 暴雨灾害人员损失风险快速预评估模型. 灾害学, 2014, 29(1):30-36. GU Haibo, ZHANG Yanli. Quik assessing model on casualty loss in rainstorms. Journal of Natural Disasters, 2014, 29(1):30-36. (in Chinese)
[17] 曹罗丹, 李加林. 基于遥感和GIS的浙江省洪涝灾害综合风险评估研究. 自然灾害学报, 2015, 24(4):111-119. CAO Luodan, LI Jialin. Research on the assessment of flood and waterlogging risk in the zhejiang province based on remote sensing and geographic information system. Journal of Natural Disasters, 2015, 24(4):111-119. (in Chinese)
[18] 倪长健, 王杰. 再论自然灾害风险的定义. 灾害学, 2012, 27(3):1-5. NI Changjian, WANG Jie. Further discussion on the definition of natural disaster risk. Journal of Catastrophology, 2012, 27(3):1-5. (in Chinese)
[19] 于文金, 赵景旺. 唐山市暴雨特征及风险评估研究. 灾害学, 2013, 28(4):50-54. YU Wenjin, ZHAO Jingwang. Storm characteristics and risk assessment research of tangshan city. Journal of Catastrophology, 2013, 28(4):50-54. (in Chinese)
[20] 蒋卫国, 李京, 武建军, 等. 区域洪水灾害风险评估体系(Ⅱ)-模型与应用. 自然灾害学报, 2008, 17(6):105-109. JIANG Weiguo, LI Jing, WU Jianjun, et al. Risk assessment system for regional flood disaster(Ⅱ):model and application. Journal of Natural Disasters, 2008, 17(6):105-109. (in Chinese)
[21] 方建, 李梦婕, 王静爱, 等. 全球暴雨洪水灾害风险评估与制图. 自然灾害学报, 2015, 24(61):1-8. FANG Jian, LI Mengjie, WANG Jingai, et al. Assessment and mapping of global fluvial flood risk. Journal of Natural Disasters, 2015, 24(61):1-8. (in Chinese)
[22] 郭小燕, 张家武, 陈雪梅, 等. 甘肃省水旱灾害时空分布特征及其与粮食产量的关系. 干旱区资源与环境, 2011, 25(6):132-137. GUO Xiaoyan, ZHANG Jiawu, CHEN Xuemei, et al. Temporal and spatial distribution of drought-flood hazards in gansu province and its relationship with regional grain output. Journal of Arid Land Resources and Environment,2011, 25(6):132-137. (in Chinese)

相似文献/References:

[1]裴惠娟,周中红,孙艳萍,等.甘肃省地震灾害时空分布特征研究[J].自然灾害学报,2015,(03):067.[doi:10.13577/j.jnd.2015.0309]
 PEI Huijuan,ZHOU Zhonghong,SUN Yanping,et al.Spatiotemporal distribution feature of earthquake disaster in Gansu Province[J].,2015,(03):067.[doi:10.13577/j.jnd.2015.0309]

备注/Memo

备注/Memo:
收稿日期:2016-08-24;改回日期:2016-11-02。
基金项目:中国科学院"西部之光"人才培养计划博士项目l甘肃省科技支撑项目资助(1504FKCA065)
作者简介:裴惠娟(1982-),女,副研究员,主要从事自然灾害应对战略情报研究.peihj@llas.ac.cn
更新日期/Last Update: 1900-01-01