龍南縣足洞地區(qū)滑坡危險(xiǎn)性評(píng)價(jià)及防治對(duì)策研究
[Abstract]:The rare earth mines in southern Jiangxi are rich in resources, with the characteristics of complete distribution, high content of valuable elements, shallow buried orebodies and low radioactivity ratio of raw ores. The proved reserves rank first in the country. In recent decades, the disorderly mining of rare earth has triggered a large-scale landslide disaster, and the safety of personnel and equipment in the mining process has been seriously threatened. Therefore, The study on landslide risk assessment and prevention in rare earth mines is of great significance to maintain the safety of people's lives and property. Based on the investigation and analysis of the study area, the digital elevation model is established by ARCGIS software, the weight is calculated by analytic hierarchy process (AHP), and the landslide risk zoning of the study area is carried out with the weighted information model, and the high risk grade area is determined. This paper analyzes the influencing factors of high risk area and simulates the change of slope stability coefficient under specific conditions by using geostudio software, and puts forward some suggestions for landslide prevention and control. The main conclusions are as follows: 1. Combined with the actual field investigation data and remote sensing images, the influencing factors of landslide in the study area are analyzed, which provides the basis for the selection of landslide risk assessment factors in the study area. 2. According to the engineering geological conditions of the study area, the slope, slope direction, elevation, in situ leaching area, pool leaching heap leaching area, residential area and undisturbed slope are selected as the evaluation factors. The analytic hierarchy process (AHP) and weighted information model are selected and arcgis spatial analysis function is used to divide the landslide risk into three categories: high, medium and low, in which the high risk area accounts for 15.24% of the total area. 41.49% in the middle risk area and 43.27% in the low risk area. In view of the high risk area of landslide, this paper analyzes the mechanism of landslide caused by each factor, combined with the actual technological process, and uses geostudio software to assist the analysis, and puts forward some suggestions for landslide prevention. 4. For tailings pile, the prevention and control measures of ecological restoration are selected, and the slope stability of the slope body after in-situ leaching technology is lower than that before leaching. For the slope body which is using in-situ leaching technology, it is found that with the increase of leaching time, the stability coefficient of the slope reaches the lowest value in about 33 days of continuous liquid injection. By changing the continuous liquid injection rate, it is found that the slope stability coefficient is above the safety standard value when the liquid injection rate is less than 13.26mm/d. It is suggested that combined with the in-situ leaching process, the liquid injection rate should be controlled to reduce the occurrence probability of landslide.
【學(xué)位授予單位】:江西理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:P642.22
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 沈芳,黃潤(rùn)秋,苗放,許強(qiáng);地理信息系統(tǒng)與地質(zhì)環(huán)境評(píng)價(jià)[J];地質(zhì)災(zāi)害與環(huán)境保護(hù);2000年01期
2 張倬元;滑坡防治工程的現(xiàn)狀與發(fā)展展望[J];地質(zhì)災(zāi)害與環(huán)境保護(hù);2000年02期
3 趙衡;宋二祥;;滑坡空間預(yù)測(cè)中信息量模型的改進(jìn)及應(yīng)用[J];土木建筑與環(huán)境工程;2011年03期
4 劉勇;;離子型稀土礦原地浸礦開(kāi)采對(duì)地下水環(huán)境影響數(shù)值模擬[J];南京工程學(xué)院學(xué)報(bào)(自然科學(xué)版);2014年02期
5 徐為;李鐵鋒;胡瑞林;溫銘生;劉濱;;基于GIS的哀牢山戛灑鎮(zhèn)小流域滑坡易發(fā)性評(píng)價(jià)[J];水文地質(zhì)工程地質(zhì);2011年05期
6 朱良峰,吳信才,殷坤龍,劉修國(guó);基于信息量模型的中國(guó)滑坡災(zāi)害風(fēng)險(xiǎn)區(qū)劃研究[J];地球科學(xué)與環(huán)境學(xué)報(bào);2004年03期
7 殷坤龍,柳源;滑坡災(zāi)害區(qū)劃系統(tǒng)研究[J];中國(guó)地質(zhì)災(zāi)害與防治學(xué)報(bào);2000年04期
8 杜軍;楊青華;;基于GIS與AHP耦合的汶川震后次生地質(zhì)災(zāi)害風(fēng)險(xiǎn)評(píng)估[J];中國(guó)水土保持;2009年11期
9 樊曉一,喬建平,陳永波;層次分析法在典型滑坡危險(xiǎn)度評(píng)價(jià)中的應(yīng)用[J];自然災(zāi)害學(xué)報(bào);2004年01期
10 丁家樂(lè);;江西省信豐縣學(xué)堂嘴稀土礦礦區(qū)水土流失治理的研究[J];中國(guó)高新技術(shù)企業(yè);2013年33期
相關(guān)碩士學(xué)位論文 前2條
1 何君蓮;基于遺傳算法滑坡防治方案優(yōu)化的研究[D];武漢理工大學(xué);2005年
2 戴悅;基于信息量模型的三峽庫(kù)區(qū)滑坡區(qū)域危險(xiǎn)性評(píng)價(jià)方法研究[D];清華大學(xué);2013年
,本文編號(hào):2491163
本文鏈接:http://sikaile.net/kejilunwen/diqiudizhi/2491163.html