• 于志慧,许有鹏,张媛,邓晓军.基于熵权物元模型的城市化地区河流健康评价分析——以湖州市区不同城市化水平下的河流为例[J].环境科学学报,2014,34(12):3188-3193

  • 基于熵权物元模型的城市化地区河流健康评价分析——以湖州市区不同城市化水平下的河流为例
  • Assessment of river health in urbanized area based on entropy weight and matter element model: A case study in Huzhou city at different stages of urbanization
  • 基金项目:国家自然科学基金项目(No.41371046, 40730635);水利部水利公益专项项目(No.201201072);江苏省自然科学基金项目(No.BK20131276)
  • 作者
  • 单位
  • 于志慧
  • 南京大学地理与海洋科学学院, 南京 210023
  • 许有鹏
  • 南京大学地理与海洋科学学院, 南京 210023
  • 张媛
  • 南京大学地理与海洋科学学院, 南京 210023
  • 邓晓军
  • 南京大学地理与海洋科学学院, 南京 210023
  • 摘要:城市化下河流健康评价问题是当前人们关注的热点问题.本文针对城市化地区河流健康不断恶化的问题,选取了与其密切相关的生态水文过程的5个要素9个指标构建了河流健康评价指标体系,并运用熵权物元模型对湖州市区不同城市化水平下的河流健康状况进行了定量评价和动态分析.通过对1991、2001、2006年太湖流域湖州市区河流健康综合关联度的计算分析,得出了研究区河流健康状况朝着病态方向发展的趋势.同时发现河网发育系数变化率、绿地覆盖率和农林业产值增长率等限制因子对河流健康的影响不容忽视.而通过与多指标综合评价方法进行比较,表明熵权物元模型能有效克服权重判定的主观性以及河流健康概念的模糊性和各评价指标之间的不相容性问题,可为平原河网地区的河流健康提供一种新的评价方法.
  • Abstract:The assessment of river health under the background of urbanization is a hot research topic. In view of the deteriorating river health of urbanized area, nine eco-hydrological indicators of the five elements were selected to establish an evaluation system, and the entropy weight and matter element model was also adopted to quantify the river health and analyze its dynamic trend at different stages of urbanization. By analyzing the comprehensive correlation degree of river health of Huzhou city in 1991, 2001 and 2006, we found that river health status of the study area was in the direction of pathological trend, and the impact of limiting factors (such as coefficient of river network development rate, percentage of greenery coverage and agroforestry output growth rate et al.) played an important role in river health. The result also showed the entropy weight and matter element model provided a new evaluation method for the river health in the plain river network area, which was more effective to overcome the subjectivity of weight decision, the fuzziness of river health concept, as well as the incompatibility issues among each index than the multi-index comprehensive evaluation method.

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