【摘要】 为更加系统、全面的反映区域水资源状况,文章以辽宁省为例对承载力评价代表性指标运用灰色关联模型进行选择,然后对指标权重与综合得分利用熵权法确定。结果显示:万元GDP耗水量、污水处理率为影响辽宁省水资源承载力的关键因素;辽宁省2010-2015年水资源承载力综合得分总体呈现出不断上升的变化趋势,并于2016年达到最大该区域水资源状况呈转好趋势。更多还原

【Abstract】 In order to reflect systematically the full-scale status of regional water resources, this paper takes Liaoning Province as an example to select the representative indexes of bearing capacity using gray correlation model, then to determine the index weight and synthesis score with entropy weight method. The results show that: water consumption quantity of GDP per 10 thousands Yuan and sewage treatment rate are the key factors affecting Liaoning Provincial water resources bearing capacity; the comprehensive score of water resources bearing capacity from 2010 to 2015 showed a rising tendency, and in 2016, the regional water resources reached the maximum and turned better.更多还原