矿山地质环境承载力遥感评价体系构建研究.docx

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Title: Construction of a Remote Sensing Evaluation System for Mining Geographical Environmental Carrying Capacity
Abstract:
With the rapid development of the mining industry, the assessment of the carrying capacity of geological environments in mining areas becomes crucial for sustainable development. This study aims to construct a remote sensing evaluation system for mining geographical environmental carrying capacity. The research combines remote sensing technology and GIS analysis to monitor and assess the impacts of mining activities on the environment.
Introduction:
Mining activities have direct and indirect impacts on the geological environment, including land use changes, soil erosion, water pollution, and ecosystem degradation. Assessing the carrying capacity of the geological environment in mining areas helps to ensure sustainable development and implement effective environmental management measures. Remote sensing technology provides a valuable tool for collecting and analyzing data on land resources and environmental changes. This study proposes a remote sensing evaluation system to assess the carrying capacity of mining geological environments.
Methodology:
1. Data Collection: Satellite imagery and geological survey data are collected to establish baseline information for the evaluation system. This includes land cover types, topography, hydrology, soil composition, and vegetation distribution within the mining area.
2. Land Use/Land Cover Classification: Remote sensing images are analyzed using supervised classification algorithms to classify different land cover types, such as forests, agricultural land, settlements, and mining areas. This step helps identify the spatial distribution and changes of land use/land cover within the mining area.
3. Environmental Impact Assessment: Environmental factors, such as land degradation, soil erosion, water quality, and vegetation health, are evaluated using remote sensing indices, such as Normalized Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), and Soil Erosion Potential Index (SEPI). These indices are calculated by combining reflectance values from different bands of satellite images.
4. Carrying Capacity Assessment: The carrying capacity of mining geographical environments is assessed by integrating environmental impact assessment, land use patterns, and natural resource availability. Parameters such as the carrying capacity index, capacity utilization rate, and ecological footprint are calculated to evaluate the sustainability of mining activities within the area.
Results and Discussion:
The remote sensing evaluation system provides valuable insights into the carrying capacity of mining geological environments. It allows for the identification of areas with high environmental pressures and helps devise sustainable land management strategies. The results also help identify areas where mining activities can be expanded or limited to ensure the balance between economic development and environmental protection.
Conclusion:
The construction of a remote sensing evaluation system for mining geological environments contributes to the assessment of environmental carrying capacity in mining areas. It combines remote sensing technology, GIS analysis, and environmental indicators to provide a comprehensive evaluation of the impacts of mining activities. This system can be used for decision-making processes related to sustainable mining operation and environmental management. Further research is needed to improve the accuracy and efficiency of the evaluation system and to incorporate more comprehensive environmental factors.