RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2018, Vol. 27 >> Issue (05): 1104-.doi: 10.11870/cjlyzyyhj201805017

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Research on Eutrophication Driven Factors of Hanfeng Lake Based on Exploratory Data Analysis

 
CHEN Yan1, HUANG Hong1, PENG Wenqi2, FENG Jian2, ZHAO Jinyong2, FU Yicheng2
  

  1.  
    (1. College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China;
    2. China Institute of Water Resources and Hydropower Research, Beijing 100038, China)
  • Online:2018-05-20

Abstract:

In order to study the eutrophication driven factors and its status in Hanfeng Lake,exploratory data analysis were applied to analyze the relationship between hydrodynamic conditions and environmental factors, the principal component of water quality, the related environmental factors of entropy weight and NHI(Nutritional Health Index). The results of regression analysis show that a positive correlation between water level and transparency, and negative correlations among flow discharge and DO, Chla, CODMn, NH+4-Nand DTP; three principal component were extracted by Principal Component Analysis(PCA),which represneted nutrients, organic pollutants and algaes, respectively. The entropy weights of DO, TN, TP show that the eutrophication status of Hanfeng lake were subjected to aerobic organic pollutants, nitrogen and phosphorus.The nutritional health index show that S1 >S3> S6(the center of lake) >S7(the tail of lake) > S5(the head of lake)> S4 >S2. In general, the eutrophication level of Hanfeng lake was ranged from mesotropher to light eutropher, with higher nutrient levels in South river, and higher nutrient in the center of lake when campare to the head and the tail of lake. In conclusion, reducing the input of organic pollutants and nutrient, and improving the hydrodynamic conditions of the local area are able to efficiently inhibit the growth of algae, which favors to the control of eutrophication.
Key words:exploratory data analysis; Hanfeng lake; eutrophication; driven factors; hydrodynamic conditions; principal component; entropy weight; nutritional health index

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