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基于ArcGIS的温州市典型研究区域山洪地质灾害风险研究
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摘要
山洪地质灾害是我国较为严重的自然灾害之一,在各种自然灾害中,山洪地质灾害所造成的损失和人员伤亡相当严重,所以我国防止山洪地质灾害的形势相当严峻。研究表明,很多地质灾害如滑坡、崩塌、泥石流、塌陷等,都是由洪水引起的次生灾害,因此,对于洪水的研究越来越受到各级政府和专业技术人员的高度重视。大量的事实表明,洪水具有不确定性,研究分析洪水灾害较为困难,但是洪水灾害风险分析可以对洪灾不确定性进行客观描述,因此洪水灾害风险分析成为目前洪灾研究的热点。本研究主要是利用ArcGIS技术,通过收集温州市典型研究区洪水灾害风险分析的相关资料,建立了洪水灾害风险评估相关的模型,在建立模型的基础上,采用层次分析法与ArcGIS空间分析方法,从温州市洪水灾害危险性分析、易损性分析和洪水灾害风险区划三个方面进行了温州市洪水灾害风险分析。在综合分析温州市典型研究区洪灾危险性、易损性以及洪水灾害风险区划的基础上,最终形成温州市台风暴雨灾情评估可视化软件,为政府的防洪安全决策提供依据。主要认识和结论包括以下6个方面:
     (1)温州市典型研究区划分:本文根据温州市自然地理概况,结合温州市行政区划和堤坝分布,以乡镇作为基本单元,将温州市洪灾典型研究区划分为鳌江流域、飞云江流域、楠溪江流域和柳乐平原、温瑞平原、瑞平平原、南港平原等7个淹没灾情研究典型区。
     (2)温州市典型区域洪水灾害风险理论:温州市典型区域洪水灾害风险理论是由温州市典型区域洪水灾害危险性、易损性和洪水灾害区划组成,结合温州市洪水灾害特点,来综合考虑温州市7个典型研究区洪水灾害风险区划研究。
     (3)温州市典型区域危险性分析:建立基于ArcGIS的风险评估模型,对温州市7个典型研究区的不同水平面的淹没范围、水深分布和变化特征分析,以及相应的耕地、房屋、人口、居民点和道路的淹没分析,综合以上分析以乡镇为评价单元,将温州市7个典型研究区划分为3个等级,高危险性Ⅲ、中危险性Ⅱ和低危险性Ⅰ。
     (4)温州市典型区域易损性分析:选取了耕地、房屋、人口、居民点和道路五项指标作为温州市典型研究区易损性影响因子,并对其进行了分级和确定权重值,得出温州市典型研究区综合易损性因子影响度分布图和综合易损性因子影响度。以乡镇为评价单元,综合以上分析,将温州市7个典型研究区易损性等级划分为3个等级,即高易损性Ⅲ、中易损性Ⅱ和低易损性Ⅰ。
     (5)温州市典型研究区洪灾风险区划:在温州市典型研究区危险性分析与温州市典型研究区易损性分析二者基础上,通过对危险性与易损性不同等级赋值,利用风险度(R)=危险度(H)×易损度(v)的公式,以乡镇为评价单元,将温州市7个典型研究区进行风险性划分为3个等级,即高风险性Ⅲ、中风险性Ⅱ和低风险性Ⅰ,并利用ArcGIS技术叠置合成温州市各典型研究区风险区划图。
     (6)温州市台风暴雨灾情评估软件设计开发:以ArcGIS为技术平台,设计开发温州市台风暴雨灾情评估系统,实现温州市台风暴雨数据、洪灾和潮灾淹没区的快速查询、更新和显示。
Mountain flood geological disaster more serious geological disasters in China's natural disasters, in a variety of natural disasters, geological disasters caused by flash floods damage and casualties very seriously, so to prevent flash floods in China's situation is quite serious geological disasters. Research shows that many geological disasters such as landslides, avalanches, landslides, subsidence, etc., are secondary disasters caused by floods, so the flood studies for more and more levels of government and professional and technical staff are highly valued.The fact that a large number of studies show that the uncertainty of the flood disaster is nature of flood disasters, flood risk analysis become a research hotspot, which is flood uncertainty as an objective description of the line. This study is based on ArcGIS technology, through the collection of Wenzhou typical risk analysis of flood related information, and the establishment of flood-related disaster risk assessment model based on AHP and ArcGIS with spatial analysis methods. The three aspects of flood risk analysis from Wenzhou City, flooding risk analysis, vulnerability analysis, and flood risk zonation of Wenzhou City,. on the basis of the comprehensive analysis of typical flood hazard areas, vulnerability and flood risk division in WenZhou city, and ultimately the formation of typhoons and storms damage assessment Wenzhou visualization software has been finished,which was for the government's flood control decisions. Understanding and conclusions of the main six areas, including the following.
     (1) Based on the natural and geographical overview of Wenzhou, Wenzhou City, which was with distribution of administrative divisions and dams, the study area was divided into the typical flood of Wenzhou Aojiang River, Feiyun River basin, watershed and Liu Leping Nanxi original, Wen Ruiping original, Rui Pingping the original, such as the South Plains of 7 typical area inundated disaster as the basic unit of the township.
     (2) Wenzhou typical regional flood disaster risk theory is that is typical of regional flood disaster in Wenzhou from Wenzhou, a typical risk analysis of flood hazard areas, vulnerability, flood hazard zonation composition,which was combined with characteristics of Wenzhou City, thus the rask analysis of typical region in WenZhou city included Wenzhou 7 a typical study area of flood risk zonation.
     (3) Which was the establishment of the risk assessment model based on ArcGIS about typical of the study area,which was Wenzhou 7 different level of the submerged area, which was included depth analysis of distribution and variation analysis, and the corresponding land like housing, such as population or residents points and flooded roads.Which was the the above comprehensive analysis for the evaluation of the township units, the Wenzhou seven typical study area was divided into three levels, high riskⅢ, the riskⅡ, low risk ofⅠ.
     (4) Which was Wenzhou typical regional vulnerability analysis. Including the cultivated land, housing, population, settlements and roads,there are five typical indicators as vulnerability factors.In the study area, and its vulnerability determined the impact of grading and factor weights, and then came to the study area, Which was done Wenzhou typical factors affecting the degree of comprehensive vulnerability and integrated distribution of the degree of vulnerability factors. Based on the above analysis, in evaluation of the township units the Wenzhou seven typical level of vulnerability of the study area is divided into three levels, which was named high vulnerabilityⅢ, the vulnerabilityⅡ, low vulnerabilityⅠ
     (5) Wenzhou typical flood risk zonation of the study area is based on typical of the study area in Wenzhou and Wenzhou typical risk analysis in the study area. The vulnerability analysis carried out both by risk and vulnerability of different levels of the assignment,which was the use of risk level (R)=risk (H)×vulnerability (v) the formula for the evaluation of the township units about the study area. Wenzhou typical risk is divided into three levels, namely high-risk sexualⅢ, the riskⅡ, low risk ofⅠ, and the use of ArcGIS technology Wenzhou typical synthesis of the study area superimposed Risk Maps.
     (6) Which was Wenzhou typhoon storm damage assessment software design and development. To make use of ArcGIS platform for technology, Wenzhou City rainstorm disaster evaluation system was designed and developed, and data Wenzhou typhoons, floods and tidal flood disaster area quickly query, update and display.
引文
[1]陈志恺.我国的暴雨与洪水灾害[J].中国减灾,2005,(07):9-11
    [2]蒋卫国,李京,王琳等.全球1950-2004年重大洪水灾害综合分析[J].北京师范大学学报(自然科学版),2006,(10):530-533
    [3]姜书海,范子武,吴时强等.洪灾风险评估和防洪安全决策[M].中国水利水电出版社,2008,(2):4-22
    [4]魏一鸣,范英,金菊良.洪水灾害风险分析的系统理论[J].管理科学学报,2001,(4):7-11
    [5]陈华丽,陈刚,丁国平.基于GIS的区域洪水灾害风险评价[J].人民长江,2003,(6):49-51
    [6]陈靖,李天文,冯丽丽等.GIS技术在洪水灾害评估中的应用研究-以渭河中下游地区为例[J]西北大学学报(自然科学版),2008,(8):663-667
    [7]连健,宫辉力,李小娟等.基于AO的洪水灾害风险分析模型设计与构建[J].地球信息科学学报,2009,(6):376-381
    [8]路明浩,程先富.洪水灾害风险评价研究综述[J].四川环境,2010,(12):127-132
    [9]张行南,罗健,陈雷等.中国洪水灾害危险程度区划[J].水利学报,2000,(3):1-7
    [10]何报寅,张海林,张穗等.基于GIS的湖北省洪水灾害危险性评价[J].自然灾害学报,2002,(11):84-89
    [11]潘安定,刘会平,陈碧珊等.广州市洪水灾害危险性评价初步研究[J].自然灾害学报,2010,(8):23-28
    [12]文康,金管生等.洪灾损失的调查与评估[M].水利部南京水文水资源研究所,1993:23-28
    [13]Paintal AS, of Stoehastie Model of Flood Risk Evaluation, Flood and Drought Proeeedings Proeeedings of the 2nd SymPosium in Hydrology, Collina USA,1972
    [14]Dingman IJ, prospects for ToPograPhic Mapping Using SPOT Data. Proeeedings, SPOT:Image Utilization, Assessments, Results, Paris France,1987
    [15]Yevjevieh V, Analysis of Risks and Uneertaintie in Flood Control [J]. Flood and Drought, Proeeedings of the 2nd symposiumin Hydrology, eollina, USA,1972
    [16]Burges SJ, Analysis of Uneertainty in FloodPlain Mapping, Water Resources Bulletin,1979
    [17]金菊良,魏一鸣,杨晓华.基于遗传算法的神经网络及其在洪水灾害承灾体易损性建模中的应用[J].自然灾害学报,1998,(5):53-60
    [18]刘兰芳,何曙光.洪水灾害易损性模糊综合评价-以湖南省衡阳市为例[J].衡阳师范学院学报,2006,(6):123-128
    [19]王宝华,付强,谢永刚等.国内外洪水灾害经济损失评估方法综述[J].灾害学,2007,(9):95-99
    [20]刘高峰,李娜.城市洪水灾害损失评估指标体系的构建[J].现代农业科技,2008:267-269
    [21]徐冬梅,陈守煜,邱林.洪水灾害损失的可变模糊评价方法[J].自然灾害学报,2010,(8):158-162
    [22]刘家福,吴锦,蒋卫国等.基于泊松-对数正态复合极值模型的洪水灾害损失分析[J].自然灾害 学报,2010,(12):61-66
    [23]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,(1):15-24
    [24]田国珍,刘新立,王平等.中国洪水灾害风险区划及其成因分析[J].灾害学,2006,(6):1-6
    [25]李金龙等.国家地理百科[R].云南:远方出版社,2005
    [26]楼丽莹,叶复声.温州市历年灾害性天气的统计分析[J].浙江气象,1996,(03)
    [27]施能,马丽,袁晓玉,顾骏强.近50a浙江省气候变化特征分析[J].南京气象学院学报,2001,(02)
    [28]曹荣庆,陈禹静.论“温州市模式”中的人口分布效应——浙江省地级市经济块状集聚的人口空间布局效应[J].青岛科技大学学报(社会科学版),2006,(04)
    [29]杨剑,蒲英霞,秦贤宏,何一鸣.浙江省人口分布的空间格局及其时空演变[35].中国人口·资源与环境,2010,(03)
    [30]浙江省人口发展报告(七)[J].浙江统计,2003,(02)
    [31]楼丽莹,叶复声.温州市历年灾害性天气的统计分析[J].浙江气象,1996,(03)
    [32]刘仁义,刘南,基于GIS的复杂地形洪水淹没区计算方法[J].地理学报,2001,(1)
    [33]刘小生,黄玉生.基于Arc/Info的洪水淹没面积的计算方法[J].测绘通报,2003,(6)
    [34]何宗宜,韩用顺.基于ArcGIS技术的洪水淹没计算分析系统[J].地理空间信息,2003,(10)
    [35]甘应爱,田丰等.运筹学[M].清华大学出版社,1990,(01)
    [36]许树柏.层次分析法[M].清华大学出版社,1990,(01)
    [37]王莲芬,许树柏.层次分析法引论[M].中国人民大学出版社,1990,(06)
    [38]赵焕臣,许树柏.层次分析法-一种简易的新决策方法[M].科学出版社,1986,(09)
    [39]党安荣,贾海峰,易善桢等.地理信息系统应用指南[M].清华大学出版社,2005,(03)
    [40]吴秀芹,张洪岩,李瑞改等. ArcGIS 9地理信息系统应用与实践[M].清华大学出版社,2008,(11)
    [41]黄杏元,马劲松,汤勤.地理信息系统概论[M].高等教育出版社,2001,(12)
    [42]姜书海,范子武,吴时强.洪灾风险评估和防洪安全决策[M].中国水利水电出版社,2001,(12)
    [43]陈卫帅,陈进,刘丹等.洪灾风险评估方法综述[J].长江科学院院报,2010,(09)
    [44]石林,曾光明,张硕辅等.基于GIS的复杂河网区域洪水灾害风险评价[J].湖南大学学报(自然科学版),2009,(07)
    [45]丛沛桐,王志刚,汪析等.GIS技术在洪水淹没分析中的应用[J].东北水利水电,2006,(01)
    [46]白义志.洪水风险分析与洪水灾害评估[J].地理学报,2005,(01)
    [47]唐川,朱静.基于GIS的山洪灾害风险区划[J].地理学报,2005,(01):87-94
    [48]傅湘,王丽萍,纪昌明.洪灾风险评价通用模型系统的研究[J].长江流域资源与环境,2000,(11)
    [49]谭徐明,张伟兵,马建明等.全国区域洪水风险评价与区划图绘制研究[J].中国水利水电科学研究院学报,2004,(03)
    [50]叶金玉.GIS在洪灾风险分析中的应用[J].福建地理,2005,(06)
    [51]潘珩.地理信息系统数据库设计[J].成都信息工程学院学报,2006,4(21):555-558
    [52]丁力,汪小林,罗英伟等.地理信息系统与数据库结合研究[J].中国图象图形学报,2001,(11):1101-]]06
    [53]陈秀芳.浅议地理信息系统与空间数据库建设[J].勘察科学技术,2007,(02):47-50
    [54]郑书彦.铜川市滑坡侵蚀灾害强度分区研究[J].煤田地质与勘探,2004,34(4)
    [55]郑书彦.黄土滑坡稳定性及其整治对策研究[J].水土保持通报,2002,22(3)
    [56]郑书彦.明圣宫滑坡侵蚀稳定性评价[J].工程地质学院学报,2002,(2)

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