本文選題：地質(zhì)災(zāi)害 + 滑坡��； 參考：《重慶交通大學(xué)》2013年碩士論文

【摘要】：武隆縣是典型的喀斯特地貌地區(qū),也是滑坡地質(zhì)災(zāi)害多發(fā)區(qū)和易發(fā)區(qū)�；碌刭|(zhì)災(zāi)害的發(fā)生不僅造成了巨大經(jīng)濟損失和人員傷亡,往往還造成嚴重的生態(tài)破壞,善后處理及整治費用更是無法估量,已嚴重阻礙了當(dāng)?shù)厣鐣?jīng)濟可持續(xù)發(fā)展。因此,利用當(dāng)前高新技術(shù)對滑坡地質(zhì)災(zāi)害進行調(diào)查、評價、監(jiān)測和防治,已成為刻不容緩的任務(wù)。 本論文是在總結(jié)前人的研究成果和研究經(jīng)驗的基礎(chǔ)上,以TM遙感影像、航空影像資料、區(qū)域1：5萬地形圖和第二次土地利用調(diào)查現(xiàn)狀圖等為研究的基礎(chǔ)資料,通過對遙感圖像的處理和其他資料的分析,對武隆縣境內(nèi)的滑坡點進行了遙感解譯。滑坡點的遙感解譯結(jié)果經(jīng)調(diào)查驗證,符合武隆縣的實際情況。以遙感圖像和相關(guān)資料所提取的地形信息為基礎(chǔ),結(jié)合研究區(qū)的地形地貌、地層巖性、地質(zhì)構(gòu)造、河流、人類活動、降雨、植被等影響滑坡的因素,采用層次分析法、模糊數(shù)學(xué)等方法對研究區(qū)的滑坡地質(zhì)災(zāi)害調(diào)查和滑坡危險性評價做了深入的探討,將地質(zhì)災(zāi)害危險性劃分為五個等級,最終得到研究區(qū)滑坡地質(zhì)災(zāi)害危險性區(qū)劃圖。本文研究過程中有以下創(chuàng)新： ①針對武隆縣喀斯特獨特的地質(zhì)環(huán)境,形成了一套基于遙感和GIS的從數(shù)據(jù)來源選擇→數(shù)據(jù)源分析研究→滑坡地質(zhì)災(zāi)害遙感解譯→滑坡地質(zhì)災(zāi)害因素分析(危險性評價指標(biāo)的建立)→評價模型的建立→危險性評價區(qū)劃的方法體系和工作流程。 ②本文將TM遙感影像和航空影像的優(yōu)勢結(jié)合,使得融合后的圖像既具有TM的光譜信息,又具有航空影像的高空間分辨率,最大限度地提取本次工作所需的地質(zhì)災(zāi)害信息。 ③本文將遙感調(diào)查的基礎(chǔ)資料與研究區(qū)的地形地貌、地層巖性、地質(zhì)構(gòu)造、河流、人類活動、降雨、植被等影響滑坡的因素進行疊加,采用層次分析法和模糊數(shù)學(xué)綜合評判對研究區(qū)的滑坡危險性進行評價,揭示出武隆縣不同等級的滑坡災(zāi)害危險性的一些空間分布規(guī)律。
[Abstract]:Wulong County is a typical karst landform area, and also a prone area for landslide geological hazards. The occurrence of landslide geological disaster not only caused huge economic losses and casualties, but also caused serious ecological damage. The cost of after-treatment and remediation is inestimable, which has seriously hindered the sustainable development of local social economy. Therefore, it has become an urgent task to investigate, evaluate, monitor and prevent landslide geological hazards by using current high and new technology. This paper is based on summarizing the previous research results and experiences, taking TM remote sensing image, aerial image data, regional 1: 50,000 topographic map and the status map of the second land use survey as the basic data. Through the processing of remote sensing image and the analysis of other data, the landslide point in Wulong county is interpreted by remote sensing. The result of remote sensing interpretation of landslide points is in accordance with the actual situation of Wulong County. Based on the topographic information extracted from remote sensing images and related data, the analytic hierarchy process (AHP) is used to analyze the factors affecting landslides, such as topography, stratigraphy, lithology, geological structure, rivers, human activities, rainfall, vegetation, and so on. The methods of fuzzy mathematics and so on have made a deep discussion on the investigation and evaluation of landslide geological hazard in the study area. The geological hazard is divided into five grades, and finally the geological hazard zoning map of landslide in the study area is obtained. In this paper, there are the following innovations: 1. Aiming at the unique geological environment of karst in Wulong county, A set of data sources Analysis based on remote Sensing and GIS to analyze landslide Geological hazards remote Sensing interpretation of landslide Geological hazards factors Analysis (Establishment of risk Assessment Index) and the Establishment of Evaluation Model The method system and work flow of risk assessment regionalization. 2 combining the advantages of TM remote sensing image and aeronautical image, the fused image not only has the spectral information of TM, but also has the high spatial resolution of aerial image, so that the geological hazard information needed in this work can be extracted to the maximum extent. (3) the basic data of remote sensing survey are superposed with the factors influencing landslide, such as topography and landform, stratigraphic lithology, geological structure, river, human activity, rainfall, vegetation, etc. In this paper, AHP and fuzzy mathematics are used to evaluate the landslide hazard in the study area, and some spatial distribution laws of landslide hazard in different grades in Wulong County are revealed.
【學(xué)位授予單位】：重慶交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：P237;P642.22

【參考文獻】

相關(guān)期刊論文 前10條

1 宋楊;范湘濤;陸現(xiàn)彩;;利用多時相遙感影像與DEM數(shù)據(jù)的滑坡災(zāi)害調(diào)查——以新灘地區(qū)為例[J];安徽師范大學(xué)學(xué)報(自然科學(xué)版);2006年03期

2 李嫻;殷繼成;李曉琴;張瑞英;;重慶武隆巖溶國家地質(zhì)公園景觀價值與旅游可持續(xù)發(fā)展探討[J];成都理工大學(xué)學(xué)報(自然科學(xué)版);2006年03期

3 向喜瓊,黃潤秋,許強;地質(zhì)災(zāi)害危險性評價系統(tǒng)的實現(xiàn)[J];地理學(xué)與國土研究;2002年03期

4 付煒;災(zāi)害地貌專家系統(tǒng)的結(jié)構(gòu)設(shè)計[J];地理科學(xué);2000年01期

5 唐川;齊信;丁軍;楊泰平;羅真富;;汶川地震高烈度區(qū)暴雨滑坡活動的遙感動態(tài)分析[J];地球科學(xué)(中國地質(zhì)大學(xué)學(xué)報);2010年02期

6 王治華;面向新世紀的滑坡、泥石流遙感技術(shù)[J];地球信息科學(xué);1999年02期

7 石菊松;石玲;吳樹仁;;滑坡風(fēng)險評估的難點和進展[J];地質(zhì)論評;2007年06期

8 楊武年,濮國梁,CAUNEAU F,RANCHIN T,PARIS J P;長江三峽庫區(qū)地質(zhì)災(zāi)害遙感圖像信息處理及其監(jiān)測和評估[J];地質(zhì)學(xué)報;2005年03期

9 李才興,唐伶俐;災(zāi)害遙感發(fā)展現(xiàn)狀分析[J];國際太空;2002年03期

10 李遠華;姜琦剛;;基于遙感調(diào)查與GIS分析的林芝地區(qū)地質(zhì)災(zāi)害評價[J];國土資源遙感;2006年02期

相關(guān)博士學(xué)位論文 前1條

1 石菊松;基于遙感和地理信息系統(tǒng)的滑坡風(fēng)險評估關(guān)鍵技術(shù)研究[D];中國地質(zhì)科學(xué)院;2008年

，

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