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Evaluation of Eco-Environmental Vulnerability Using RS and GIS: Case of Ma Keng Iron Mining Area in Fu Jian Province, China

机译:基于RS和GIS的生态环境脆弱性评价-以福建省马坑铁矿区为例。

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Mining activities are always associated with disturbances and negative eco-environmental changes to the natural ecosystems due to vegetation clearing, soil and water quality degradation and air pollution. Makeng mining is the biggest iron mine in Eastern China. The area has undergone severe eco-environmental changes due increasing anthropogenic activities aiming at exploring the iron ore and other minerals. Mining activities are accompanied by other human activities which include roads and industries construction, clearing of vegetation, construction of workers houses, sedimentation ponds and tailing dams. Soil-water erosion is acute because of the vegetation cover removal and is worsened by the mountainous nature of the area. The aim of this research was to evaluate the eco-environmental vulnerability of Ma Keng mining area for the past 15 years using a numerical environmental evaluation model. Application of GIS and RS technology, assisted by statistical software (SPSS) enabled the extraction and preparation of eco-vulnerability factors and development of the environmental numeric model. This was eventually used to evaluate eco-environmental vulnerability of Ma Keng mining area. Nine eco-environmental vulnerability variables were included in the model namely slope, elevation, soil types, land use, vegetation types, industrial dust pollution, industrial sulfur dioxide gas (SO2) emission and soil erosion. An Eco-environmental Vulnerability Index (EVI) of the study area for the years 1992, 1998, 2001, 2004 and 2007 were calculated using the environmental numeric model and the results were classified using the cluster principle. The research results showed that the eco-environmental vulnerability integrated index (EVSI) was increasing with time from 1992-2007. The results further revealed that the eco-vulnerability degree is vertically distributed, whereby the low elevation regions are worse than those in higher elevations. To reverse the intensification of eco-vulnerability, improvement in implementation of voluntary and legal environmental protection measures and ecosystem approaches are required.
机译:由于植被清除,土壤和水质退化以及空气污染,采矿活动总是与自然生态系统的干扰和负面的生态环境变化有关。麦当矿业是华东地区最大的铁矿。由于人类活动增多,旨在勘探铁矿石和其他矿物,该地区经历了严重的生态环境变化。采矿活动伴随着其他人类活动,包括道路和工业建设,植被清理,工人房屋建设,沉淀池和尾矿坝。由于植被被清除,水土流失十分严重,该地区多山的性质加剧了水土流失。这项研究的目的是使用数值环境评估模型评估马坑矿区过去15年的生态环境脆弱性。 GIS和RS技术的应用,借助统计软件(SPSS),可以提取和准备生态脆弱性因子并开发环境数值模型。最终将其用于评估马坑矿区的生态环境脆弱性。该模型包括九个生态环境脆弱性变量,即坡度,海拔,土壤类型,土地利用,植被类型,工业粉尘污染,工业二氧化硫气体(SO2)排放和土壤侵蚀。使用环境数值模型计算研究区域1992、1998、2001、2004和2007年的生态环境脆弱性指数(EVI),并使用聚类原理对结果进行分类。研究结果表明,从1992年至2007年,生态环境脆弱性综合指数(EVSI)随时间增加。结果进一步表明,生态脆弱度是垂直分布的,因此低海拔地区比高海拔地区差。为了扭转生态脆弱性加剧的趋势,需要改善自愿和法律环境保护措施以及生态系统方法的实施。

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