西部典型煤矿区生态环境驱动因子分析与风险预测

Driving factors analysis and risk prediction of ecological environment in typical coal mining area of Western China

  • 摘要: 西部干旱半干旱矿区煤层开采经常诱发一系列的生态环境问题,为明确煤矿区生态环境驱动因子并形成生态环境风险预测方法,以位于我国西北地区的榆神矿区为研究对象,分析了气象、土壤、地下水、隔水层、煤层开采等因子与矿区生态环境要素的关系,形成了煤矿区生态环境风险预测模型,评估了煤层开采条件下生态环境风险指数分布特征。研究结果表明:矿区NDVI随降水量和潜在蒸散发量的增加而增加,植被耗水量随潜水位埋深的增大先减小后保持稳定。煤层开采条件下,松散含水层地下水损失量随隔水层厚度的增加而减小;导水裂隙带发育高度与采厚、采宽、采深呈正相关;地表最大水平变形与采厚、采宽呈正相关、与回采速度呈负相关。以此为基础,构建了由干旱指数、地表坡度、土壤类型、潜水位埋深、隔水层厚度、导水裂隙带发育高度、采深采厚比、采宽采深比、回采速度9个关键因子组成的煤矿生态环境风险预测指标体系,根据各指标的定性和定量特征,给出了各指标的等级划分和对应赋值。以榆神矿区典型大水煤矿为例,基于主观权重与客观权重,采用博弈论组合赋权方法确定了该煤矿各预测指标的综合权重,导水裂隙带发育、潜水位埋深、隔水层厚度、采深采厚比、干旱指数等5个指标的权重相对较大,其权重之和占总权重的99%,在生态环境风险预测中起决定性作用,预测结果显示该煤矿生态环境风险为中等的区域占58.95%,生态环境风险高的区域占41.05%,无低风险区;需要通过调整煤层开采参数抑制导水裂隙带和地裂缝发育、开展隔水层再造增加隔水层厚度、治理采动损伤区生态环境等手段降低采动生态环境风险。研究结果为我国西北干旱半干旱煤矿区生态环境保护与修复提供科学依据。

     

    Abstract: The extraction of coal seam could induce a series of ecological environment problems in arid and semi-arid mining area of Northwest China. In order to clarify the driving factors of ecological environment in coal mining areas and form an ecological risk prediction method, Yushen mining area was taken as the research object, the relationships between meteorology, soil, groundwater, aquiclude, mining parameters and ecological environment elements were analyzed, the ecological risk prediction model of coal mine area was formed, and the distribution of ecological risk index under coal mining conditions was predicted. The results showed that NDVI increased with the increase of precipitation and potential evapotranspiration, vegetation water consumption decreased first and then remains stable with the increase of water table depth. Under the condition of coal mining, the groundwater loss of loose aquifer decreased with the increase of the thickness of the aquiclude, the development height of water-conducting fracture zone was positively correlated with mining thickness, width and depth, the maximum surface horizontal deformation was positively correlated with mining thickness and width, and negatively correlated with mining speed. On this basis, the ecological risk prediction index system of coal mine was constructed, which was composed of nine key factors, such as drought index, surface slope, soil type, water table depth, aquiclude thickness, development height of water-conducting fracture zone, ratio of mining depth to mining thickness, ratio of mining width to mining depth, mining speed, and the grade division and corresponding value of each index were given according to the quantitative and qualitative characteristics. Taking the typical water-rich coal mine of Yushen mining area as an example, the comprehensive weight of each index was determined by the game theory based on the subjective and objective weight, the weight of development height of water-conducting fracture zone, water table depth, aquiclude thickness, drought index, ratio of mining depth to mining thickness was relatively large, and the sum of five weights accounted for 99% of the total weight, which played a decisive role in ecological risk prediction. The prediction results show that the areas with medium ecological risk accounted for 58.95%, and the areas with high ecological risk accounted for 41.05%, and there was no low-risk area. It was necessary to reduce the ecological risk of mining by adjusting the mining parameters to inhibit the development of water-conductive fracture zone and surface cracks, carrying out the reconstruction of aquiclude to increase the thickness of aquiclude, and restoring the damaged ecological environment. The research results could provide reference for the ecological environment protection and restoration in arid and semi-arid coal mining area of Northwest China.

     

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