摘要
以辽宁省辽河流域作为研究区域,以主成分分析法、熵权法、相关性分析法为基本理论方法,建立辽宁省辽河流域水生态功能及驱动因子评价与识别体系,以2000—2010年该流域的统计数据为基础,对该流域水生态功能及影响其功能强弱的主要驱动因子进行评价与识别。结果表明:该流域的功能强弱为认知功能、供给功能、循环功能和生境功能依次递减;主要驱动因子为水资源总量、人口、GDP、农林牧渔业总产值、旅游收入和公园个数。研究结果为流域生态功能分区和流域生态保护提供了参考依据,促进流域水资源的综合利用和保护。
Combined with principal component analysis, entropy methods and correlation analysis assess, the author assessed the aquatic ecosystem function of Liao River Basin of Liaoning Province. The indicators of aquatic ecosystem function and main driving factor were built. The author evaluated the aquatic ecosystem function and identified main driving factor based on the data during 2000 to 2010 of this basin. Resultsindicated that： awareness function was stronger than supply function, circulation function and habitat function,and the main driving factors included total amount of water resources, population, GDP, gross output value of agriculture, forestry and fisheries, tourism income and the amount of park. Results of this work would provide useful information for regional economic development and promote the comprehensive utilization and protection of the river basin.
出处
《中国农学通报》
CSCD
2014年第26期178-183,共6页
Chinese Agricultural Science Bulletin
基金
国家水体污染控制与治理科技重大专项"辽河流域水生态功能分区与控制单元划分"(2008ZX07526-006-02)
辽宁省水环境生物监测与水生态安全重点实验室开放基金项目"污水处理厂典型废气的净化研究"(HJ201101)
关键词
水生态功能评价
主成分分析
熵权
相关性分析
驱动因子
aquatic ecosystem function
principal component analysis
entropy
correlation analysis
main driving factor
