【摘要】：我國是世界上滑坡災(zāi)害最嚴(yán)重的國家之一,特別是隨著近幾年交通、水利等基礎(chǔ)設(shè)施建設(shè)的進一步完善,產(chǎn)生了很多邊坡失穩(wěn)的事件,給國家的建設(shè)、人民的財產(chǎn)造成了嚴(yán)重的損失。研究區(qū)域—清平鄉(xiāng)位于綿竹市的西北部,屬于山地,地形地貌復(fù)雜,相對高差較大。區(qū)內(nèi)支流眾多,呈樹形結(jié)構(gòu)分布;斷裂構(gòu)造發(fā)育,受龍門山中央斷裂和山前斷裂影響,存在很大的地災(zāi)隱患,對其進行滑坡危險度評價研究,將對政府后期的規(guī)劃建設(shè)有很大的意義。論文主要是結(jié)合前人的研究成果、滑坡發(fā)生的機理和研究區(qū)的實際情況,基于模糊證據(jù)權(quán)模型,對研究區(qū)滑坡危險度評價進行了研究,主要成果有:(1)滑坡危險度評價體系是一個復(fù)雜的、系統(tǒng)的的工作,論文較為全面地分析了這部分的內(nèi)容:包括評價因子的建立、因素量化方法選擇、數(shù)學(xué)模型的選取、危險度等級的確定以及危險度評價的成果,對未來的滑坡危險度評價的研究工作有較大的意義。(2)在因素量化這部分,基于模糊數(shù)學(xué)和統(tǒng)計分析的相關(guān)理論,定性和定量相結(jié)合,建立了隸屬度函數(shù),很大程度上減少了人為主觀因素的影響,而且此方法更利于缺失數(shù)據(jù)的處理,使得量化結(jié)果更為精確。(3)采用模糊證據(jù)權(quán)模型,將致災(zāi)因子進行疊加,建立研究區(qū)域的滑坡危險度概率分布圖,最后借用ArcGIS平臺,對區(qū)域滑坡危險度概率分布圖進行轉(zhuǎn)化,輸出滑坡危險度評價模擬圖,并與實際災(zāi)害情況進行對比,表明評價結(jié)果符合實際。
[Abstract]:China is one of the countries with the most serious landslide disasters in the world. Especially, with the further improvement of infrastructure construction such as transportation and water conservancy in recent years, many incidents of slope instability have resulted in the construction of the country. The property of the people caused serious damage. Qingping Township is located in the northwest of Mianzhu City. There are many tributaries in this area, which are distributed in tree structure, and the fault structure is developed, which is affected by the central fault of Longmen Mountain and the fault in front of the mountain, so there is a great hidden danger to the ground, so the risk degree of landslide is evaluated and studied. It will be of great significance to the planning and construction of the later period of the government. Combined with the previous research results, the mechanism of landslide occurrence and the actual situation of the study area, based on the fuzzy evidence weight model, the risk assessment of landslide in the study area is studied in this paper. The main results are as follows: (1) the evaluation system of landslide risk is a complex and systematic work. This paper comprehensively analyzes the contents of this part: including the establishment of evaluation factors, the selection of factor quantification methods, the selection of mathematical models, The determination of risk grade and the results of risk assessment have great significance for the future landslide risk assessment. (2) in this part of factor quantification, based on the relevant theories of fuzzy mathematics and statistical analysis, qualitative and quantitative analysis are combined. The membership function is established, which reduces the influence of human subjective factors to a great extent, and this method is more favorable to the processing of missing data, which makes the quantization results more accurate. (3) using fuzzy evidential weight model, the disaster factors are superimposed. The probability distribution map of landslide risk degree is established in the study area. Finally, the probability distribution map of landslide risk degree is transformed by using ArcGIS platform, and the simulation map of landslide hazard evaluation is output, and the result is compared with the actual disaster situation. The results show that the evaluation results are in line with the reality.
【學(xué)位授予單位】：成都理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：P642.22

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本文編號：2175343