文章摘要
王 蔚, 徐 昕, 董 壮, 胡 涛, 闫 峰.基于投影寻踪-可拓集合理论的河流健康评价Journal of Water Resources and Water Engineering[J].,2016,27(2):122-127
基于投影寻踪-可拓集合理论的河流健康评价
Assessment of river health based on projection pursuit-extension set theory
  
DOI:10.11705/j.issn.1672-643X.2016.02.23
中文关键词: 河流健康  投影寻踪-可拓集合  河流健康评价  浙江湖州市
英文关键词: river health  projection pursuit-extension set  river health  assessment  Huzhou of Zhejiang Province
基金项目:
Author NameAffiliation
WANG Wei1, XU Xin2a, DONG Zhuang2a, HU Tao3, YAN Feng2b (1.江苏省水利工程建设局 江苏 南京 210098 2.河海大学 a.水利水电学院
b.水文水资源与水利工程科学国家重点实验室
江苏 南京 2100983.长江水利委员会 长江科学院 湖北 武汉 430010) 
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中文摘要:
      目前对河流健康的评价方法越来越繁多,其中较多方法过分依赖于专家咨询意见,无法客观和准确地反映河流健康的实际状况。为消除由于人为主观臆断性对评价结果造成的偏差,本文将投影寻踪法和可拓集合理论进行尝试性结合,提出了投影寻踪-可拓集合理论这一新的河流健康评价模型。并运用此模型对太湖流域湖州市区四个年份序列的河流健康状况进行了评价。结果表明:湖州市区河流在1991年处于“很健康”(Ⅰ等)状态,2001年处于“健康”(Ⅱ等)状态,在2006年和2010年河流健康状况持续恶化,处于“病态”(Ⅴ等)。通过与同样客观的评价方法熵权物元模型进行比对,评价结论完全一致。投影寻踪-可拓集合理论最大程度地克服了评价过程的主观性,深入地分析和挖掘数据信息中的贡献度大小,不失为平原河网甚至全国流域的河流健康评价提供了一种新的思路和方法。
英文摘要:
      There are more and more methods for the assessment of river health at present,but many methods rely too much on expert advice,which can't reflect the situation of river health objectively and accurately.In order to eliminate the errors due to human subjective evaluation,This paper attempted to combine the projection pursuit cluster and extenics muster theory to propose a new model of river health evaluation which based on projection pursuit-extension set theory. The paper used this model to evaluate the health of Huzhou in Taihu River basin for sequence of four years.The results show that the river health of Huzhou city is at a “very healthy”(Class I) level in 1991, and “healthy”(Class Ⅱ )level in 2001, the river health continued to deteriorate in 2006 and 2010 which is at “sick”(Class V)level.By comparing the same objective evaluation method of entropy weight matter-element model,The result is in fully consistent with evaluation findings.Projection pursuit-Extension set theory overcome the subjectivity of evaluation process to the greatest extent possible,deeply analyzed and unearthed contribution degree size among data and information.The method provides a new way of thinking and method for the assessment of river health even in plain river basin.
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