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北京市凉水河物理栖息地完整性评价
引用本文:孙斌,刘静玲,孟博,包坤,史璇,尤晓光. 北京市凉水河物理栖息地完整性评价[J]. 水资源保护, 2017, 33(6): 20-26
作者姓名:孙斌  刘静玲  孟博  包坤  史璇  尤晓光
作者单位:;1.水环境模拟国家重点实验室;2.北京师范大学环境学院
基金项目:国家自然科学基金(41271496);国家水体污染控制与治理科技重大专项(2012ZX07203-006)
摘    要:针对城市河流强人为干扰特征,从横向完整性、纵向完整性和垂向完整性3个维度选择了10个评价指标,引入信息熵对传统的灰色聚类评价方法进行改进,构建城市河流物理完整性评价指标体系。利用该方法对北京市凉水河物理栖息地完整性开展了评价,结果表明在监测的21个采样点中评价结果为好、较好、一般和较差的比例分别为19.1%、23.8%、33.3%和23.8%,造成凉水河物理栖息地完整性较差的指标依次为生态流量满足率、纵向连通性指数和河流蜿蜒度。导致凉水河物理栖息地完整性较差的突出原因为生态流量满足率低、闸坝较多及土地利用不合理,其中闸坝出现的周期性与物理栖息地变差的周期性相一致。

关 键 词:物理栖息地完整性  信息熵  灰色聚类  凉水河
收稿时间:2017-05-06

Evaluation of physical habitat integrity of Liangshui River in Beijing
SUN Bin,LIU Jingling,MENG Bo,BAO Kun,SHI Xuan and YOU Xiaoguang. Evaluation of physical habitat integrity of Liangshui River in Beijing[J]. Water Resources Protection, 2017, 33(6): 20-26
Authors:SUN Bin  LIU Jingling  MENG Bo  BAO Kun  SHI Xuan  YOU Xiaoguang
Affiliation:State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing 100875, China; School of Environment, Beijing Normal University, Beijing 100875, China,State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing 100875, China; School of Environment, Beijing Normal University, Beijing 100875, China,State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing 100875, China; School of Environment, Beijing Normal University, Beijing 100875, China,State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing 100875, China; School of Environment, Beijing Normal University, Beijing 100875, China,State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing 100875, China; School of Environment, Beijing Normal University, Beijing 100875, China and State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing 100875, China; School of Environment, Beijing Normal University, Beijing 100875, China
Abstract:Considering the strong human disturbances of urban rivers, 10 evaluation indexes from three dimensions of horizontal integrity, longitudinal integrity and vertical integrity were selected. The traditional grey clustering evaluation method was improved by introducing information entropy to construct the urban river physical integrity evaluation index system. This method was used to evaluate the physical habitat integrity of Liangshui River in Beijing. The results show that: among the 21 monitoring sites under the evaluation of physical habitat integrity, evaluation results were defined to be four grades of good, better, medium and poor, accounting for 19. 1%, 23. 8%, 33. 3% and 23. 8%, respectively. The indicators leading to poor physical habitat integrity of Liangshui River are the low ecological flow(EF), longitudinal connectivity(LC), and river meandering(RM)in sequence. The prominent reasons that cause poor physical habitat integrity of Liangshui River attribute to low ecological flow, more dams and unreasonable land use. The periodicity of the emerging dam is consistent with the same of the physical habitat deterioration.
Keywords:physical habitat integrity   information entropy   gray clustering   Liangshui River
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