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Water Bloom Precursor Analysis Based on Two Direction S-Rough Set
Authors:Huyong Yan  Guoyin Wang  Di Wu  Yu Huang  Mingsheng Shang  Jianjun Xu  Kun Shan  Xiaoyu Shi  Jianhua Dong  Lei Feng  Botian Zhou  Ye Yuan  Yufei Zhao
Affiliation:1.Big Data Mining and Applications Center, Chongqing Institute of Green and Intelligent Technology,Chinese Academy of Sciences,Chongqing,China;2.University of Chinese Academy of Sciences,Beijing,China;3.Yubei Municipal Gardens Bureau,Chongqing,China
Abstract:In the field of water quality management, it is vital to determine the main precursory anomalies from the precursor of intricate water bloom in the context of a given area. In this paper, a water bloom precursor analysis method, based on two direction singular rough set, was proposed. This approach was produced on the basis of the different sections and pre-water bloom of water bloom precursor anomalies and characteristic of elements transferred in singular rough set. For testing the validity of two direction singular rough set application in water bloom precursor analysis, Xiangxi River, which is one of the typical tributaries of Three Gorges Reservoir in China, was selected as study area. The result showed that compared with other indexes, pH and dissolved oxygen (DO) are the most valuable indicators of water bloom in the precursory anomalies. Furthermore, regarding with water bloom precursory anomalies in Xiangxi River, most of the nutrient loading and biological community are the key indicators. Hence, this method can determine the main precursory anomaly for water bloom in the study area, which provides powerful knowledge support to water quality specialists for them to comprehensively analyze precursory anomaly so as to find out its relationship with occurrence law of water bloom.
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