长江流域资源与环境 >> 2014, Vol. 23 >> Issue (03): 366-.doi: 10.11870/cjlyzyyhj201403009

• 生态环境 • 上一篇    下一篇

三峡水库水质移动监测指标筛选方法研究

董 阳|黄平|李勇志|刘峰|吴胜军   

  1. (1.中国科学院水库水环境重点实验室|中国科学院重庆绿色智能技术研究院|重庆 400714;2.西南大学资源环境学院|重庆 400715
  • 出版日期:2014-03-20

SCREENING METHOD FOR WATERQUALITY INDICATORS OF MOBILE MONITORING IN THE THREEGORGES RESERVOIR

DONG Yang1,HUANG Ping1,LI Yongzhi1,LIU Feng2,WU Shengjun1   

  1. (1.Chongqing Institute of Green and Intelligent Technology,Chinese Academy of Science,Chongqing 400714,China;2.College of Resources and Environment,Southwest University,Chongqing 400715,China
  • Online:2014-03-20

摘要:

三峡水库水质移动监测体系构建对提升库区整体水质监测能力具有重要意义,其基础工作是科学筛选适合移动监测的水质指标。从三峡水库水质监测现状出发,分析三峡水库水质移动监测需求,并根据其水环境状况与移动监测特点,制定三峡水库水质移动监测指标选取原则。通过分析目前指标筛选的经典数学方法,并根据其不同特点与适用性,选用德尔菲法对水质移动监测指标进行初次筛选、主成分分析法进行第二次筛选,构成一套将定性筛选与定量筛选相结合的方式作为三峡水库水质移动监测指标选取方法,并以三峡库区长江干流典型断面江津大桥为例,用上述方法筛选出该断面移动监测指标为总氮、总磷、溶解氧、氟化物、铜、pH、COD、BOD、高锰酸盐指数、石油类、氨氮、汞、挥发酚与砷。研究结果可为三峡水库水质移动监测工作提供前期基础和理论支撑

Abstract:

Establishment of water mobile monitoring framework is of great significance to enhance the overall ability of water monitoring in the ThreeGorges Reservoir.Because there are too many waterquality indicators and not all of them are suitable for mobile monitoring,it’s required to select proper waterquality indicators.The scientific screen method of the waterquality indicators is a foundation work.Based on the status of water monitoring in the ThreeGorges Reservoir,this paper analyzed the requirement of the water mobile monitoring.According to the water environments and the characteristics of mobile monitoring,the principle of waterquality indicators screen was formulated,including representativeness principle,scientific principle and feasibility principle.After that,analysis and comparisons of 5 classical statistics methods widely used in indicators selecting,such as the Delphi method,principal component analysis method,genetic algorithm method,gray relevancy method and analysis hierarchy process were conducted in this study.Each of them has its strengths and applicability.First of all,screening the waterquality indicators for mobile monitoring should consider many factors,such as the function areas of the water environment,pollution features,distribution of pollution sources,and geography condition etc.It was also required to judge whether the indicators could be monitored accurately by using the mobile monitoring equipment.Because of the subjectivity features and relative applicability,the Delphi method was selected as the initial screen method.Also,the result needs to be modified in accordance with the principle of indicators screen of waterquality for mobile monitoring.After completing the initial choice,principal component analysis method was considered as the most suitable one for the qualitative screen of waterquality indicators for mobile monitoring.After years of operation,Ecology and Environment Monitoring System of the ThreeGorges Project has accumulated a lot of valuable local monitoring data.Such a data set provide critical support for the principal component analysis method.This makes the result of screen objective and reliable.This combination system of qualitative and quantitative screening optimized for the waterquality indicators selection of mobile monitoring in the ThreeGorges Reservoir just proved the feasibility in theory.Furthermore,taking the Jiangjin Bridge Monitoring Section as an example,Delphi method was used to select the indicators initially.After that,according to the monitoring data of 2010,principal component analysis method was taken to select the most important indicators in this area,including TN,TP,COD,BOD,dissolved oxygen,CODMn,petroleum,NH3N,Hg,Volatile Penol and As.This result proved the feasibility in practice.In order to keep coincidence with the actual situation,field trip and actual waterquality mobile monitoring in the ThreeGorges Reservoir are further needed to verify and revise the screen result of waterquality indicators.The last result will be expected to provide theoretical support for the future practices on water mobile monitoring

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