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Quantitative prediction of mining subsidence and its impact on the environment 被引量:13

Quantitative prediction of mining subsidence and its impact on the environment
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摘要 This study is focused on the prediction of mining subsidence and its impact on the environment in the Hongqi mining area. The study was carried out by means of a probability integral model based, in first instance based on field surveys and the analysis of data collected from this area. Isolines of mining subsidence were then drawn and the impact caused by mining subsidence on the environment was analyzed quantitatively by spatial analysis with Geographic Information System (GIS). The results indicate that the subsidence area of the first working-mine can be as large as 2.54 km 2 , the maximum subsidence is 3440 mm which will cause 1524 houses to be relocated. The entire subsidence area of the mine can reach 8.09 km 2 , with a maximum subsidence of 3590 mm. Under these circumstances the value of the loss of ecosystem services will reach 5.371 million Yuan and the cost of relocating buildings will increase to 6.858 million Yuan. This study is focused on the prediction of mining subsidence and its impact on the environment in the Hongqi mining area. The study was carried out by means of a probability integral model based, in first instance based on field surveys and the analysis of data collected from this area. Isolines of mining sub- sidence were then drawn and the impact caused by mining subsidence on the environment was analyzed quantitatively by spatial analysis with Geographic Information System (GIS). The results indicate that the subsidence area of the first working-mine can be as large as 2.54 km2, the maximum subsidence is 3440 mrn which will cause 1524 houses to be relocated. The entire subsidence area of the mine can reach 8.09 km2, with a maximum subsidence of 3590 ram. Under these circumstances the value of the loss of ecosystem services Will reach 5.371 million Yuan and the cost of relocating buildings will increase to 6.858 million Yuan.
出处 《International Journal of Mining Science and Technology》 2012年第1期69-73,共5页 矿业科学技术学报(英文版)
基金 Support for this work, provided by the Science and Technology Project of the Land and Resources Department of Henan Province (No.0979)
关键词 矿区环境 定量预测 采煤沉陷 矿山塌陷区 地理信息系统 生态系统服务 开采沉陷 沉陷预测 Mining subsidence Prediction Ecological environment Quantitative analysis
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