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Quantitative analysis of the relationship between vegetation and groundwater buried depth: A case study of a coal mine district in Western China

机译:植被与地下水埋深关系的定量分析-以中国西部某煤矿区为例

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Studying the interdependence between vegetation and the buried depth of groundwater is key to revealing the ecological and hydrological processes affecting vegetation in arid and semi-arid areas. The study area, the Yushen coal mine district, is located in the Mu Us Desert, which is the typical arid and semi-arid transition zone in Western China. There are a large number of areas with shallow with shallow groundwater depths in the region, which provides favorable growing conditions for vegetation growth. Due to sparse precipitation and rapid evaporation of water in the region, vegetative growth is tied closely to the depth of groundwater table. Given the widespread and intensive exploitation of the region's abundant coal resources, the decline of groundwater table poses a threat to surface vegetation ecology health inevitably. Therefore, study of the ecological effects of large-scale changes to the depth of groundwater is of great significance for guiding exploitation of coal resources, eco-environmental conservation and future rehabilitation efforts. Using Yushen coal mine district as a study area, the quantitative relationship between groundwater buried depth and vegetation development is determined in different ecological and geological (eco-geological) environments by combining MODIS remote sensing with measured groundwater buried depth data as well as supplementing with other on-site investigations and collection of data. Using ArcGIS 10.5 and MATLAB R2018a, we divided the study area into 3 eco-geological environments: (1) phreatic water desert shallows oasis; (2) surface runoff (loess) gully; and (3) surface water river-valley oasis. The vegetation types, growth status, and diversity differed within the eco-geological environments. Based on the sensitivity of vegetation to the buried depth of groundwater in each of the three eco-geological environments, we further classified areas within the eco-geological environments as either type-1 sensitive, either type-2 sensitive or non-sensitive. We found that sensitivity class was related to the groundwater buried depth. Vegetative ecology improved with groundwater buried depth drawdown, while it deteriorated in type-2 sensitive areas. Vegetative ecology generally exhibited little dependence on groundwater buried depth in non-sensitive areas, where climate and soil moisture content were the predominant influences.
机译:研究植被和地下水埋深之间的相互关系是揭示影响干旱和半干旱地区植被的生态和水文过程的关键。研究区为神神矿区,位于中国西部典型的干旱和半干旱过渡区-毛乌素沙漠。该地区有很多浅层地区,地下水深浅,为植被生长提供了有利的生长条件。由于该地区的降水稀少和水的快速蒸发,营养生长与地下水位深度密切相关。考虑到该地区丰富的煤炭资源的广泛和密集开发,地下水位的下降不可避免地对地表植被生态健康构成威胁。因此,研究大规模改变地下水深度的生态效应对于指导煤炭资源的开采,生态环境保护和今后的恢复工作具有重要意义。以玉深煤矿区为研究区,结合MODIS遥感技术与实测地下水埋深数据,并结合其他方法,确定了不同生态,地质(生态地质)环境下地下水埋深与植被发育的定量关系。现场调查和数据收集。使用ArcGIS 10.5和MATLAB R2018a,我们将研究区域分为3个生态地质环境:(1)潜水淡水绿洲; (2)地表径流(黄土)沟壑; (3)地表水河谷绿洲。在生态地质环境中,植被类型,生长状况和多样性有所不同。根据三种生态地质环境中植被对地下水埋藏深度的敏感性,我们进一步将生态地质环境内的区域分为1类敏感,2类敏感或非敏感区域。我们发现敏感度等级与地下水埋深有关。随着地下水埋深的减少,营养生态得到改善,而在2型敏感区则恶化了。在非敏感地区,以气候和土壤含水量为主要影响的地区,植物生态学通常对地下水埋藏深度的依赖性很小。

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