文章摘要
刘文盈,辛向红,赵春霞.基于灰关联和主成分分析的阿拉善湾 最小生态环境需水量研究[J].广东农业科学,2013,40(24):134-136
查看全文    HTML 基于灰关联和主成分分析的阿拉善湾 最小生态环境需水量研究
Study on the minimum ecological water requirementof Alashan bay based on grey association analysisand principal component analysis
  
DOI:
中文关键词: 生态环境  最小生态环境需水量  灰关联分析  主成分分析  计算方法
英文关键词: ecological environment  minimum ecological water requirement  grey association analysis method  principal component analysis  calculating method
基金项目:国家自然科学基金(40761022)
作者单位
刘文盈,辛向红,赵春霞 包头轻工职业技术学院农牧园林工程学院内蒙古阿拉善职业技术学院继续教育部 
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中文摘要:
      生态环境需水研究是国际上关注的焦点,也是研究热点,目前还处于计算方法探讨阶段。以阿拉善湾海子为例,基于灰关联、主成分分析、典型相关和逐步回归分析,探讨最小生态环境需水量计算方法。结果表明:基于灰关联和基于SAS软件主成分分析,虽然依据的理论基础和侧重点不同,但分析结论是一致的,都表明底栖动物种类数、遗鸥繁殖巢数与水位高度相关,可以作为生态环境的指示生物。计算得该地区最小生态环境需水量为1.9×106m3。
英文摘要:
      It is one of the current hotspot subjects that study on the ecological and environmental water requirement in the world. The research was based on grey association analysis method and principal component analysis method, and took Alashan bay as an example. The results showed that although the two methods were based on different theories, the analysis conclusions were consistent. The quantity of the Larus Relictus nests and the zoobenthos species were highly correlated with the water level. They could be regarded as the indicator of the ecological environment. According to the maximum value principle, the minimum ecological water requirement is 1.9×106 m3 in the region of Alashan bay.
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