摘要
利用遥感(RS)和地理信息系统(GIS)技术处理相关地形、遥感数据等,合理选取评价因子构建矿区生态适宜性评价体系及模型,并结合空间分析原理评价矿区生态适宜性的时空变化特征,最后进行驱动力分析。研究结果表明,矿区生态最适宜或适宜区域面积减少55.41km^2;地表仍有持续塌陷趋势,相对塌陷面积为317.83km2;影响因素主要为工矿业发展、城市建设扩张、人口增长和社会经济发展。该研究对于今后对淮南矿区的生态环境破坏治理、土地资源的合理开发利用等都具有十分重要的意义。
This study uses RS and GIS technology for the treatment of terrain and remote sensing data to select the reasonable evaluation factors and build the mining area ecological suitability evaluation system and model. It combined with the spatial analysis method to evaluate mine ecological suitability level changes in time and space distribution and dynamic change characteristics and make an analysis of the driving force about the changing trend. The results showed that the mining area ecological suitability conditions are destroyed to a certain extent and the ecological optimum or appropriate area has reduced 55. 41km^2; There is still a continuous surface subsidence trend with collapse area of 317. 83km^2; The main driving factor for influence are mining industry development,the expansion of urban construction,population growth and social economic development. It has a very important significance for the control and treatment of mining area ecological environment destruction and scientific planning and layout of the city.
出处
《工程勘察》
2017年第10期52-58,共7页
Geotechnical Investigation & Surveying
基金
国家自然科学基金(41101374)
水利部公益性行业科研专项经费项目(201201025)
关键词
生态适宜性
遥感
时空特征
潘谢矿区
驱动力分析
ecology suitability
remote sensing
characteristics
Panxie mining area
driving force
