Journal of Food, Agriculture and Environment

Analysis of lake vulnerability in the middle-lower Yangtze River catchment using C4.5 decision tree algorithms

Author(s):

Feng Wu ¹, Xiangzheng Deng ^{1, 2}*, Qun’ou Jiang ^{1, 3}, Jinyan Zhan ⁴, Dongdong Liu ⁵

Recieved Date: 2012-02-04, Accepted Date: 2012-04-30

Abstract:

Lake vulnerability is one of the significant issues in China, more and more lakes are polluted seriously. This paper comprehensively analyzes the vulnerable degree of lakes located in the middle-lower Yangtze River catchment. Firstly, the factors influencing lake vulnerability are explored. Then based on the references and materials collected, this study used the weight data and grading data to assess the vulnerable degree of lakes. Thirdly, the area percentage of impervious surface was employed to represent the intensity of human activities. Lastly, C4.5 decision tree algorithms were applied to get classification matrix which can be used to estimate the categories of all the lakes in the middle-lower Yangtze River catchment. The results show that lakes under rational exploitation accounted for 61.8%, and those over-exploited accounted only for 13.2%. As for the lake vulnerability, it can be deduced that low vulnerable lakes accounted for 32.4%, medium vulnerable lakes had the highest percentage with 45.6%, and accordingly, the amount of lakes with high vulnerability was lowest, only 22.1%. According to the vulnerability and exploited degree, the lakes were divided into three categories. Generally speaking, lakes within I category were rare, and amounts of lakes within II category were much more than other categories. Lakes within III category were affected by human activity mostly. The conclusions can provide significant information for policy formulation to mitigate lake vulnerability and restore lake function. 

Keywords:

Lake vulnerability, middle-lower Yangtze River catchment, C4.5 decision tree algorithms

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Journal: Journal of Food, Agriculture and Environment
Year: 2012
Volume: 10
Issue: 2
Category: Environment
Pages: 1245-1247

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