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A study of mine site selection of the Duolong ore concentration area in Tibet based on RS and GIS technology |
ZHAO Longxian1(), DAI Jingjing2(), ZHAO Yuanyi2, JIANG Qi3, LIU Tingyue3, FU Minghai1 |
1. China University of Geosciences (Beijing) Chinese Academy of Geological Science,Beijing 100083, China 2. Institute of Mineral Resources, Chinese Academy of Geological Science, Beijing 100037, China 3. School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China |
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Abstract Mineral resources are an important part of natural resources and constitute an important material basis for the development of human society. With the rapid development of economic construction, the demand for mineral resources has become increasingly urgent, and the ecological environment destruction caused by mineral development has also become increasingly prominent. The construction of green mines and green development is the inevitable trend of mine development. In the construction of green mines, the site selection of mines is particularly important. With the Duolong ore concentration area as the study area and through the good grades ii and Landsat8 remote sensing satellite image preprocessing, the authors extracted information of a series of important environmental factors such as fault location, vegetation coverage, drilling and mining area and exploratory trench, village, river, road, slope and elevation difference for quantitative interpretation and normalized processing; finally the analytic hierarchy process (AHP) was used to calculate weight coefficient of each factor and construct the green mining location model in the study area. Specific layout planning was carried out for the mining stopes, waste rock sites, administrative living areas, mineral processing plants and tailings ponds of some mineral deposits in the Duolong ore concentration area of Tibet so as to provide basic data and reference suggestions for the development and construction of green mines.
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Keywords
Duolong ore concentration area
RS
GIS
analytic hierarchy process
mine location
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Corresponding Authors:
DAI Jingjing
E-mail: 2428426555@qq.com;daijingjing863@sina.com
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Issue Date: 21 July 2021
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