ISSN 1000-3665 CN 11-2202/P
    刘谋,王俊杰,吴广涛,等. 矿井涌水量预测及其对沙漠植被的影响[J]. 水文地质工程地质,2023,50(3): 65-75. DOI: 10.16030/j.cnki.issn.1000-3665.202104015
    引用本文: 刘谋,王俊杰,吴广涛,等. 矿井涌水量预测及其对沙漠植被的影响[J]. 水文地质工程地质,2023,50(3): 65-75. DOI: 10.16030/j.cnki.issn.1000-3665.202104015
    LIU Mou, WANG Junjie, WU Guangtao, et al. Prediction of mine water inflow and analyses of its influence on desert vegetation[J]. Hydrogeology & Engineering Geology, 2023, 50(3): 65-75. DOI: 10.16030/j.cnki.issn.1000-3665.202104015
    Citation: LIU Mou, WANG Junjie, WU Guangtao, et al. Prediction of mine water inflow and analyses of its influence on desert vegetation[J]. Hydrogeology & Engineering Geology, 2023, 50(3): 65-75. DOI: 10.16030/j.cnki.issn.1000-3665.202104015

    矿井涌水量预测及其对沙漠植被的影响

    Prediction of mine water inflow and analyses of its influence on desert vegetation

    • 摘要: 矿井涌水对井下安全生产存在潜在威胁,同时可能引发因矿区地下水位下降造成的地表植被难以逆转的演替退化。针对涌水量数值模型构建时边界条件概化不准确和水文地质参数选用不可靠等关键问题,以准确预测矿井涌水量保障煤层安全开采为目标,并为研究区沙漠植被的保护提供理论和数据支撑,选择以天然边界作为研究区周界,在充分收集与分析钻探、物探、抽水试验、地下水长观和矿井采空区范围及其涌水量等资料的基础上反复修正模型,构建了较为逼真的地下水三维非稳定流数值模型。此外依据矿井采空区拓展进程及其涌水量和地下水监测数据等进行模型模拟识别,论证了该模型的合理性和可靠性。利用所建立的数值模型预测了煤层开采条件下的矿井涌水量和潜水位降深场,进而基于潜水位埋深与沙漠植被关系分析了潜水位下降对沙漠植被的影响。结果表明:根据矿区先期煤层开采预测矿井涌水量为 3.08×104 m3/d,引起矿区内潜水位下降2.08~2.35 m,将导致矿区内代表性植被沙柳和小叶杨的长势变差、甚至部分枯萎,呈现由中生植被类型向旱生植被方向的演替趋势。研究结果为研究区提供了较准确的涌水量预测值,可以为制定科学有效的矿区沙漠植被保护措施以及为类似地下水流数值模型的构建提供可靠的思路。

       

      Abstract: Mine inflow threats mine safety production underground, and may trigger a decline in the groundwater level in the mine area, causing irreversible successional degradation of surface vegetation. In view of the key problems such as inaccurate generalization of boundary conditions and unreliable selection of hydrogeological parameters when constructing numerical models of water inflow, this study aims to accurately predict mine water inflow, ensure the safe mining of coal seams, and provide theoretical and data support for the protection of desert vegetation in the study area. The natural boundary is selected as the perimeter of the research area, and the model is repeatedly revised on the basis of fully collecting and analyzing the data of drilling, geophysical prospecting, pumping test, groundwater long-term monitering, and the scope of the mine goaf and its water inflow, and thus a more realistic three-dimensional unstable flow numerical model of groundwater is constructed. In addition, the model simulation and identification are carried out according to the expansion process of the mine goaf and its water inflow and groundwater monitoring data, which demonstrates the rationality and reliability of the model. The established numerical model is used to predict the mine inflow and submersible level depth drop under coal seam mining conditions, and then the influence of diving level decline on desert vegetation is analyzed based on the relationship between diving depth and desert vegetation. The results show that the predicted water inflow in the mine is 3.08×104 m3/d, resulting in a decrease of 2.08−2.35 m in the diving level in the mine area, which will lead to the deterioration or even partial withering of the representative vegetation sand willow and poplar in the mine area, showing a succession trend from mesophytic vegetation type to xerophytic vegetation. The results can provide more accurate water inflow prediction in the study area, scientific and effective measures for the protection of desert vegetation in mining areas, and reliable treatment ideas for the construction of similar numerical models of groundwater flow.

       

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