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首页> 外文期刊>Environmental geology and water sciences >Integrated Method Of Rs And Gpr For Monitoring The Changes In The Soil Moisture And Groundwater Environment Due To Underground Coal Mining
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Integrated Method Of Rs And Gpr For Monitoring The Changes In The Soil Moisture And Groundwater Environment Due To Underground Coal Mining

机译:Rs和Gpr集成方法监测地下煤矿开采引起的土壤水分和地下水环境的变化

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摘要

Mining affects the environment in different ways depending on the physical context in which the mining occurs. In mining areas with an arid environment, mining affects plants' growth by changing the amount of available water. This paper discusses the effects of mining on two important determinants of plant growth-soil moisture and groundwater table (GWT)-which were investigated using an integrated approach involving a field sampling investigation with remote sensing (RS) and ground-penetrating radar (GPR). To calculate and map the distribution of soil moisture for a target area, we initially analyzed four models for regression analysis between soil moisture and apparent thermal inertia and finally selected a linear model for modeling the soil moisture at a depth 10 cm; the relative error of the modeled soil moisture was about 6.3% and correlation coefficient 0.7794. A comparison of mined and unmined areas based on the results of limited field sampling tests or RS monitoring of Landsat 5-thermatic mapping (TM) data indicated that soil moisture did not undergo remarkablernchanges following mining. This result indicates that mining does not have an effect on soil moisture in the Shendong coal mining area. The coverage of vegetation in 2005 was compared with that in 1995 by means of the normalized difference vegetation index (NDVI) deduced from TM data, and the results showed that the coverage of vegetation in Shendong coal mining area has improved greatly since 1995 because of policy input RMB¥0.4 per ton coal production by Shendong Coal Mining Company. The factor most affected by coal mining was GWT, which dropped from a depth of 35.41 m before mining to a depth of 43.38 m after mining at the Bulianta Coal Mine based on water well measurements. Ground-penetrating radar at frequencies of 25 and 50 MHz revealed that the deepest GWT was at about 43.4 m. There was a weak water linkage between the unsaturated zone and groundwater, and the decline of water table primarily resulted from the well pumping for mining safety rather than the movement of cracking strata. This result is in agreement with the measurements of the water wells. The roots of nine typical plants in the study area were investigated. Populus was found to have the deepest root system with a depth of about 26 m. Based on an assessment of plant growth demands and the effect of mining on environmental factors, we concluded that mining will have less of an effect on plant growth at those sites where the primary GWT depth before mining was deep enough to be unavailable to plants. If the primary GWT was available for plant growth before mining, especially to those plants with deeper roots, mining will have a significant effect on the growth of plants and the mechanism of this effect will include the loss of water to roots and damage to the root system.
机译:挖掘根据发生挖掘的物理环境以不同的方式影响环境。在干旱环境的矿区,采矿会通过改变可用水量来影响植物的生长。本文讨论了采矿对植物生长的两个重要决定因素-土壤水分和地下水位(GWT)的影响-使用包括遥感(RS)和探地雷达(GPR)的现场抽样调查在内的综合方法对采矿进行了研究。为了计算和绘制目标区域土壤水分的分布图,我们首先分析了四种模型用于土壤水分和表观热惯性之间的回归分析,最后选择了一个线性模型来对10 cm深度的土壤水分进行建模。模拟土壤水分的相对误差约为6.3%,相关系数为0.7794。根据有限野外采样测试或Landsat 5热成像(TM)数据的RS监测结果对雷区和未雷区进行比较,结果表明,采矿后土壤水分没有发生显着变化。该结果表明,采矿对神东煤矿区的土壤水分没有影响。利用TM数据归一化植被指数(NDVI)对2005年和1995年的植被覆盖率进行了比较,结果表明,自1995年以来,神东矿区的植被覆盖率有了较大的提高。神东矿业公司每吨原煤投入0.4元。根据水井测量结果,受煤炭开采影响最大的因素是GWT,其从采矿前的深度35.41 m下降至Bulianta煤矿的采矿后的深度43.38 m。探地雷达在25和50 MHz的频率下显示,最深的GWT约为43.4 m。非饱和区与地下水之间的水联系较弱,地下水位的下降主要是由于为保证采矿安全而抽水而不是裂隙地层的运动。该结果与水井的测量结果一致。研究区域内九种典型植物的根系。发现胡杨具有最深的根系,深度约26 m。根据对植物生长需求的评估以及采矿对环境因素的影响,我们得出结论,在采矿之前主要GWT深度足够深而无法供植物使用的那些地点,采矿对植物生长的影响较小。如果主要的GWT在开采前可用于植物生长,尤其是对于根深较深的植物,则开采将对植物的生长产生重大影响,而这种影响的机制将包括根系水分流失和根系受损。系统。

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