多重指标体系下的京津冀城市群地质环境质量综合评价

地质环境质量是影响区域规划建设的重要因素，目前单一评价指标体系无法对多地貌类型区域的地质环境质量进行合理有效的评价。为了研究适用于多地貌类型的区域地质环境质量评价方法，本文建立了基于山区和平原区两种地貌类型的地质环境质量评价体系，利用层次分析法和综合指数法获取了评价指标权重，建立了地质环境质量评价模型，通过空间分析技术开展了京津冀城市群地质环境质量综合评价研究。评价结果表明，京津冀地区的地质环境质量空间分布差异较大，平原区地质环境质量分布受地面沉降、地下水超采及地下水污染的影响突出，山区地质环境质量分布受活动断裂、地形条件及地质灾害的影响明显。可见，多重指标评价体系下的地质环境质量评价能够降低不同地貌类型地质环境质量主要评价指标间的相互影响，评价结果能够更加合理准确地体现区域地质环境质量分布特征。

Comprehensive assessment of geological environment in the Beijing-Tianjin-Hebei region based on multiple index system

Geological environment quality is an important factor affecting regional planning and construction. At present, the single evaluation index system is unable to evaluate the geological environment quality in the multi-geomorphic area reasonably and effectively. In order to study the evaluation method of regional geological environment quality suitable for multiple geomorphologic types, a multi-geological environment quality evaluation system based on two geomorphological types is established. The weight of evaluation indexes are obtained and the evaluation model of geological environment quality is established by using AHP and comprehensive index method. The evaluation of geological environment quality of the Beijing-Tianjin-Hebei urban agglomeration is carried out by means of spatial analysis technology. The results show that the spatial distribution of geological environment quality in Beijing-Tianjin-Hebei region is quite different. The distribution of geological environment quality in plain area is significantly affected by land subsidence, groundwater overexploitation and groundwater pollution. The distribution of geological environment quality in mountainous areas is obviously affected by active faults, topographic conditions and geological hazards. It is concluded that the evaluation of geological environment quality based on the multi-index evaluation system can reduce the interaction between the main evaluation indexes of geological environment quality of different geomorphological types, and the evaluation results can reflect the distribution characteristics of regional geological environment quality more reasonably and accurately.