Water Bloom Precursor Analysis Based on Two Direction S-Rough Set

Huyong Yan (), Guoyin Wang, Di Wu, Yu Huang, Mingsheng Shang, Jianjun Xu, Kun Shan, Xiaoyu Shi, Jianhua Dong, Lei Feng, Botian Zhou, Ye Yuan and Yufei Zhao
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Huyong Yan: Chinese Academy of Sciences
Guoyin Wang: Chinese Academy of Sciences
Di Wu: Chinese Academy of Sciences
Yu Huang: Chinese Academy of Sciences
Mingsheng Shang: Chinese Academy of Sciences
Jianjun Xu: Chinese Academy of Sciences
Kun Shan: Chinese Academy of Sciences
Xiaoyu Shi: Chinese Academy of Sciences
Jianhua Dong: Chinese Academy of Sciences
Lei Feng: Chinese Academy of Sciences
Botian Zhou: Chinese Academy of Sciences
Ye Yuan: Chinese Academy of Sciences
Yufei Zhao: Yubei Municipal Gardens Bureau

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2017, vol. 31, issue 5, No 2, 1435-1456

Abstract: 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.

Keywords: Water bloom; Rough set; Two direction singular rough set (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s11269-017-1579-8

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