[1]杨 柳,牟鑫亮,李 晨,等.延安市宝塔区地质灾害风险评价[J].山地学报,2020,(5):679-690.[doi:10.16089/j.cnki.1008-2786.000545]
　YANG Liu,MU Xinliang,LI Chen,et al.Risk Assessment of Geological Hazards in Baota District, Yan'an City, Shanxi, China[J].Mountain Research,2020,(5):679-690.[doi:10.16089/j.cnki.1008-2786.000545]
点击复制

延安市宝塔区地质灾害风险评价
分享到：

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2020年第5期
页码:
679-690
栏目:
出版日期:
2020-11-10

文章信息/Info

Title:
Risk Assessment of Geological Hazards in Baota District, Yan'an City, Shanxi, China
文章编号:
1008-2786-(2020)5-679-12
作者:
杨 柳; 牟鑫亮; 李 晨; 郑 续; 岳东霞*
兰州大学 资源环境学院,兰州730000
Author(s):
YANG Liu;  MU Xinliang;  LI Chen;  ZHENG Xu;  YUE Dongxia*
College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
关键词:
地质灾害;  宝塔区;  危险性;  易损性
Keywords:
geo-hazard;  Baota District;  fatalness assessment;  vulnerability assessment
分类号:
P642.2
DOI:
10.16089/j.cnki.1008-2786.000545
文献标志码:
A
摘要:
延安市宝塔区地处黄土高原地区,滑坡、崩塌等地质灾害频发,严重威胁当地居民生命和财产。本文在地质灾害历史统计资料基础上,基于现代遥感和GIS技术,并结合SBAS-InSAR监测数据,将不稳定斜坡危害区域面积占比引入危险性评价指标体系,不稳定斜坡危害区域内居民点数纳入易损性评价指标体系,构建了较为完善的、适用于宝塔区的地质灾害风险评价指标体系,以30 m栅格为单元对宝塔区进行了高分辨率的地质灾害风险评价。结果显示:宝塔区可划分为极高风险区、高风险区、中等风险区、低风险区、极低风险区,分别占全区面积的1.02%、9.24%、21.60%、32.62%、35.50%; 极高风险区和高风险区主要分布于宝塔区中部延河流域地区及北部地区; 极低风险区主要分布于宝塔区北部及南部汾川河流域地区。本次评价结果有效提高了该研究区地质灾害风险评价的精度,可为宝塔区地质灾害风险预防和国土空间规划提供依据。
Abstract:
Baota District of Yanan city lies on the Loess Plateau, where landslides, collapses and other geohazards occur quite often, posing serious threat to the safety of local communities. Based on modern remote sensing and GIS technology, this research was conducted by using SBAS-InSAR surface deformation monitoring data with reference to historical data analysis of geohazards and past research achievements. The optimized index systems for evaluation of geohazard risk particularly suitable for Baota District were established by taking account of the significance of potential threat of unstable slopes to settlements, where the percentage of unstable slope area to total areas of the study was introduced into the improved risk index system, and further the number of residents living in unstable slope areas was included into the vulnerability evaluation index system. Consequently, a geohazard risk assessment with a higher resolution of 30m grid as a unit was completed in Baota District for verification of compliance with observation. The results show: The risk of geohazard was higher in the central part of Baota District, lower in the south and north; Baota District can be delineated into five danger zones, extremely high risk, high risk, medium risk, low risk and very low risk, accounting for 1.02%, 9.24%, 21.60%, 32.62% and 35.50% of the total study area respectively. The area with medium risk and above in the study area was 1062.07 km2, and the area of extremely high-risk and high-risk areas was 33.92 km2 and 307.95 km2 respectively, which were mainly distributed in the middle of Yanhe River basin as well as northern areas of Baota District. The extremely low-risk areas were mainly distributed in the northern part of Baoda District and southern Fenchuan River basin. The optimization of risk evaluation of geohazards in Baoda District by this study has improved the accuracy of risk management in the area, and it would provide a basis for risk prevention and land space planning in Baota District and provide an appropriate approach to risk assessment of geohazard in similar areas.

参考文献/References:

[1] 徐继维, 张茂省, 范文. 地质灾害风险评估综述[J]. 灾害学, 2015, 30(4): 130-134. [XU Jiwei, ZHANG Maosheng, FAN Wen. An overview of geological disaster risk assessment[J]. Journal of Catastrophology, 2015,30(4):130-134]
[2] 张春山, 吴满路, 张业成. 地质灾害风险评价方法及展望[J]. 自然灾害学报, 2003,12(1):96-102. [ZHANG Chunshan, WU Manlu, ZHANG Yecheng. Method and prospect of geological disaster risk assessment [J]. Journal of Natural Disasters, 2003,12(1):96-102]
[3] 卢全中,彭建兵,赵法锁. 地质灾害风险评估(价)研究综述[J].灾害学,2003,18(4):60-64. [ LU Quanzhong, PENG Jianbing, ZHAO Fasuo. An overview on the study of risk assessment of geological hazards[J]. Journal of Catastrorhology, 2003,18(4):60-64]
[4] 齐信,唐川,陈州丰,等. 地质灾害风险评价研究[J].自然灾害学报,2012,21(5):33-40. [ QI Xin, TANG Chuan, CHEN Zhoufeng, et al. Research of geohazards risk assessment [J]. Journal of Natural Disasters,2012,21(5):33-40]
[5] OHLMACHER G C, DAVIS J C. Using multiple regression and GIS technology to predict landslide hazard in Northeast Kansas[J]. Engineering Geology, 2003, 69(3): 331-343.
[6] LEE S, CHOI J, et al. Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea[J]. International Journal of Remote Sensing, 2004, 25(11): 2037-2052.
[7] PRADHAN B, LEE S. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models[J]. Environmental Earth Sciences, 2010, 60(5): 1037-1054.
[8] 朱良峰, 殷坤龙, 张梁, 等. GIS支持下的地质灾害风险分析[J]. 长江科学院院报, 2002,19(5): 43-46. [ ZHU Liangfeng, YIN Kunlong, ZHANG Liang, et al. Risk analysis system of geo-hazards supported by GIS[J]. Journal of the Yangtze River Academy of Sciences, 2002,19(5):43-46]
[9] 吴森, 张占成, 周光红,等. 基于贡献率模型的汶川县滑坡灾害的易损性评价[J]. 三峡大学学报(自然科学版), 2013, 35(3):69-74.[ WU Sen,ZHANG Zhancheng, ZHOU Guanghong, et al. Landslide vulnerability assessment in Wenchuan County based on contributing weight model[J]. Journal of China Three Gorges University(Natural Sciences), 2013, 35(3):69-74]
[10] 赵良军, 李虎, 刘玉锋, 等. 新疆伊犁果子沟地质灾害风险评价及其致灾因子[J]. 干旱区研究, 2017, 34(3): 693-700. [ZHAO Liangjun, LI Hu, LIU Yufeng, et al. Evaluation on geological hazard risk and disaster-causing factors in the Guozigou valley in Ili, Xinjiang [J]. Arid Zone Research, 2017,34(3):693-700]
[11] 徐瑞池,李秀珍,胡凯衡,等.横断山区山地灾害的动态风险性评价[J].山地学报,2020,38(2):222-230. [ XU Ruichi, LI Xiuzhen, HU Kaiheng, et al. A dynamic risk assessment for mountain hazards in the Hengduan Mountain Region, China[J]. Mountain Research,2020,38(2):222-230]
[12] 张毅. 基于InSAR技术的地表变形监测与滑坡早期识别研究[D].兰州:兰州大学,2018:5-7. [ZHANG Yi.Detecting ground deformation and investigating landslides using InSAR technique[D].Lanzhou:Lanzhou University, 2018:5-7]
[13] CHEN Guan, ZHANG Yi, ZENG Runqiang, et al. Detection of land subsidence associated with land creation and rapid urbanization in the Chinese Loess Plateau using time series InSAR: a case study of Lanzhou New District[J]. Remote Sensing, 2018, 10(2):270.
[14] 张茂省, 校培喜, 魏兴丽. 延安市宝塔区崩滑地质灾害发育特征与分布规律初探[J]. 水文地质工程地质, 2006, 33(6):72-74,79. [ZHANG Maosheng, XIAO Peixi, WEI Xingli. A preliminary discussion of the occurrence of landslide in the Baota District of Yan 'an city, Chian[J]. Hydrogeology and Engineering Geology, 2006, 33(6):72-74,79]
[15] 薛强, 张茂省, 李林. 基于斜坡单元与信息量法结合的宝塔区黄土滑坡易发性评价[J]. 地质通报, 2015,34(11):2108-2115. [ XUE Qiang, ZHANG Maosheng, LI Lin. Loess landslide susceptibility based on slope unit and information value method in Baota District, Yan 'an city,Chian [J]. Geological Bulletin of China, 2015,34(11):2108-2115]
[16] 张晓东. 基于遥感和GIS的宁夏盐池县地质灾害风险评价研究[D].北京:中国地质大学(北京),2018:150.[ ZHANG Xiaodong, Study on geological disaster risk assessment based on RS and GIS in Yanchi County, Ningxia[D]. Beijing: University of Geosciences(Beijing),2018:150]
[17] 单博. 基于3S技术的奔子栏水源地库区库岸地质灾害易发性评价及灾害风险性区划研究[D]. 长春:吉林大学, 2014:93.[SHAN Bo. Reservoir bank geological Disaster susceptibility assessment and study on zoning of disaster risk in Benzilan Water-source reservoir area based on 3S technology[D]. Changchun: Jilin University, 2014:93]
[18] 张茂省. 黄土地质灾害影响因素研究[J]. 工程地质学报,2007,15(s1):133-140.[ ZHANG Maosheng.Controlling and triggering factors of Loess geo-hazards[J].Journal of Engineering Geology, 2007,15(S1):133-140]
[19] 孙萍萍,张茂省,程秀娟,等.黄土高原地质灾害发生规律[J].山地学报,2019,37(5):737-746. [SUN Pingping, ZHANG Maosheng, CHENG Xiujuan, et al. On the regularity of geological hazards on the Loess Plateau in China[J].Mountain Research,2019,37(5):737-746]
[20]牛全福. 基于GIS的地质灾害风险评估方法研究[D].兰州:兰州大学,2011:92. [NIU Quanfu. Study on the method of geological disaster risk assessment based on GIS[D]. Lanzhou: Lanzhou University,2011:92]
[21] 牛全福, 程维明, 兰恒星, 等. 基于信息量模型的玉树地震次生地质灾害危险性评价[J]. 山地学报, 2011,29(2):117-123. [NIU Quanfu, CHENG Weiming, LAN Hengxing, et al. Susceptibility assessment of secondary geological disaster based on information value methodology for Yushu earthquake region[J]. Mountain Research, 2011,29(2):117-123]
[22] 赵富萌, 张毅, 孟兴民, 等. 基于小基线集干涉测量的中巴公路盖孜河谷地质灾害早期识别[J]. 水文地质工程地质, 2020, 47(1): 142-152. [ZHAO Fumeng, ZHANG Yi, MENG Xingmin, et al. Geological hazards early identification in the Gaizi valley of Karakoran Highway based on SBAS-InSAR technology [J]. Hydrogeology Engineering Geology, 2020,47(1):142-152]
[23] 郭长宝, 唐杰, 吴瑞安, 等. 基于证据权模型的川藏铁路加查—朗县段滑坡易发性评价[J]. 山地学报, 2019,37(2):240-251. [ GUO Changbao, TANG Jie, WU Ruian, et al. Landslide susceptibility assessment based on WOE model along Jiacha-Langxian County section of Sichuan-Tibet Railway, China[J]. Mountain Research,2019,37(2):240-251]
[24] 许强, 张一凡, 陈伟. 西南山区城镇地质灾害易损性评价方法——以四川省丹巴县城为例[J]. 地质通报, 2010, 29(5): 729-738. [XU Qiang, ZHANG Yifan, CHEN Wei. Vulnerability assessment of geo-hazards in southwest mountainous area—Danba County, Sichuan, China as an example[J]. Geological Bulletin of China,2010,29(5):729-738]
[25] 岳东霞, 李凯, 张佳静, 等. 基于RS和广义目标函数法的清水沟地质灾害承灾体易损性评价[J]. 兰州大学学报(自然科学版), 2014, 50(5): 671-675. [YUE Dongxia, LI Kai, ZHANG Jiajing, et al. Vulnerability of the hazard-bearing body to geo-hazards based on RS and generalized objective function method in Qingshui Watershed [J]. Journal of Lanzhou University(Natural Science Edition), 2014,50(5):671-675]
[26] 符彦, 王剑辉, 杨斌. 基于升降轨SBAS-InSAR技术的城市地区地表沉降监测[J]. 地理信息世界, 2019, 26(2): 118-123. [ FU Yan, WANG Jianhui, YANG Bin. Monitoring the surface subsidence in the urban region with SBAS-InSAR technology[J]. Geographic Information World, 2019, 26(2):118-123]
[27] 张春山, 何淑军, 辛鹏, 等. 陕西省宝鸡市渭滨区地质灾害风险评价[J]. 地质通报, 2009, 28(8): 1053-1063. [ZHANG Chunshan, HE Shujun, XIN Peng, et al. Risk evaluation of geological hazards in Weibin District, Baoji city, Shanxi Province, China[J]. Geological Bulletin of China, 2009, 28(8):1053-1063]
[28] 李杰, 何云玲, 刘雪莲. 基于均方差决策法的区域资源环境承载力研究——以陆良县为例[J]. 云南地理环境研究, 2016, 28(5): 54-60. [LI Jie, HE Yunling, LIU Xuelian. Evaluation of regional resources and environment carrying capacity based on mean square decision-making method-taking Luliang Country as an example[J]. Yunnan Geographic Environment Research, 2016, 28(5): 54-60]
[29] 薛强. 延安宝塔区地质灾害危险性评价研究[D]. 西安:西安科技大学, 2008:53-54.[ XUE Qiang. The study on geographical hazard evaluation of Baota district in Yan'an city[D]. Xi'an:Xi'an University of Science and Technology, 2008:53-54]

相似文献/References:

[1]巩杰,赵彩霞,王合领,等.基于地质灾害的陇南山区生态风险评价——以陇南市武都区为例[J].山地学报,2012,(05):570.
　GONG Jie,ZHAO Caixia,WANG Heling,et al.Ecological Risk Assessment of Longnan Mountainous Area Based on Geological Disasters——A Case Study of Wudu[J].Mountain Research,2012,(5):570.
[2]牛全福,程维明,兰恒星,等.基于信息量模型的玉树地震次生地质灾害危险性评价[J].山地学报,2011,(02):243.
　NIU Quanfu,,et al.Susceptibility Assessment of Secondary Geological Disaster Based on Information Value Methodology for Yushu Earthquake Region[J].Mountain Research,2011,(5):243.
[3]孙伟,朱诚,王晓翠,等.南京幕府山地区地质灾害与地热调查[J].山地学报,2011,(06):753.
　SUN Wei,ZHU Cheng,MA Chunmei,et al.Investigation of Geothermal Resource and Geologic Hazards at Mufu Mountain Area in Nanjing[J].Mountain Research,2011,(5):753.
[4]许强,黄润秋.非线性科学理论在地质灾害评价预测中的应用——地质灾害系统分析原理[J].山地学报,2000,(03):272.
[5]许强,黄润秋,向喜琼.地质灾害发生时间和空间的预测预报[J].山地学报,2000,(S1):112.
[6]许强,黄润秋.地质灾害的非线性数据处理与建模技术[J].山地学报,2000,(S1):123.
[7]王帅,王深法,俞建强.构造活动与地质灾害的相关性——浙西南山地滑坡、崩塌、泥石流的分布规律[J].山地学报,2002,(01):47.
[8]柴贺军,刘汉超.岷江上游多级多期崩滑堵江事件初步研究[J].山地学报,2002,(05):616.
[9]邓辉,黄润秋.InSAR技术在地形测量和地质灾害研究中的应用[J].山地学报,2003,(03):373.
[10]马东涛,崔鹏,陈书涛,等.南水北调西线工程调水区地质灾害问题[J].山地学报,2003,(05):582.

备注/Memo

备注/Memo:
收稿日期(Received date):2020-06-15; 改回日期(Accepted date): 2020-08-03
基金项目(Foundation item):国家重点研发计划项目(2017YFC1501005); 中国地质调查局项目(DD20189270 [2019]086); 中央高校基本科研业务费项目(lzujbky-2020-sp03)。 [National Key Research and Development Program of China(2017YFC1501005); China Geological Survey Project(DD20189270-[2019]086); The Fundamental Research Funds for the Central University(lzujbky-2020-sp03)]
作者简介(Biography):杨柳(1994-),男,河南三门峡人,硕士,主要研究方向:地质灾害风险评价。[YANG Liu(1994-), male, born in Sanmenxia, Henan province, M. Sc. research on geological hazard risk assessment] E-mail:yangliu2018@lzu.edu.cn
*通讯作者(Corresponding author):岳东霞(1969-),女,博士,教授,主要研究方向:地质灾害风险评价。[YUE Dongxia(1969-), female, Ph.D., professor, research on geological hazard risk assessment] E-mail:dxyue@lzu.edu.cn
更新日期/Last Update: 2020-09-30