摘要
选取地形地貌、工程地质条件、构造条件、崩塌、滑坡、泥石流、地面塌陷、地裂缝、地面沉降、土地占用与破坏、固体废弃物、废水和废液排放、矿坑突水、水资源枯竭、煤(矸石)自燃、企业规模、生态环境恢复治理难易程度等17项评价因子,采用神经网络法,将全省按6′×5′剖分成2025个评价单元,根据每一评价单元的环境质量分级,将全省矿山地质环境质量分为3类:环境质量较差区(含13个亚区)、环境质量中等区(含9个亚区)和环境质量良好区.
Adopting neural networks, and selecting 17 appraising factors including topography and landform, engineering geological condition, structural condition, avalanche, landslip, surface collapse, surface crack, ground subsidence, land occupation and destruction, disc mudflow, harging of solid rejectamenta, waste water and waste liquid, water gushing-out of mine;drying up of water re- sources;spontaneous combustion of gangue; scale of enterprises; difficult degree of eco-environment restoration and governance, the entire province was divided into 2 025 evaluation units according to 6' × 5'. And in the light of environmental quality graduation of each unit, there are three kinds of qual- ity of mine geological environment: worse environmental area ( including 13 sub-areas), middle-degree environmental area (including 9 sub-areas) and good environmental area.
出处
《信阳师范学院学报(自然科学版)》
CAS
北大核心
2008年第1期93-96,共4页
Journal of Xinyang Normal University(Natural Science Edition)
基金
国家地质调查项目"河南省矿山地质环境调查与评估"基金资助(200212300006)
关键词
矿山
地质环境
质量
评价
河南省
mine
geological environment
quality
evaluation
Henan province