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Volume 41 Issue 1
Jan.  2023
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Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2023  >  41(1): 72-78
TIAN Xiongchang, JIANG Shuihua, JIA Zhuo, LI Qin, FANG Lidong, ZHANG Yilin, XIAO Rui. WATER QUALITY EVALUATION AND CHANGE TREND ANALYSIS OF THE POYANG LAKE BASED ON KH-SVM[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(1): 72-78. doi: 10.13205/j.hjgc.202301009
Citation: TIAN Xiongchang, JIANG Shuihua, JIA Zhuo, LI Qin, FANG Lidong, ZHANG Yilin, XIAO Rui. WATER QUALITY EVALUATION AND CHANGE TREND ANALYSIS OF THE POYANG LAKE BASED ON KH-SVM[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(1): 72-78. doi: 10.13205/j.hjgc.202301009
shu

WATER QUALITY EVALUATION AND CHANGE TREND ANALYSIS OF THE POYANG LAKE BASED ON KH-SVM

doi: 10.13205/j.hjgc.202301009

  • 1. School of Infrastructure Engineering, Nanchang University, Nanchang 330031, China;

  • 2. Institute of Energy Research, Jiangxi Academy of Sciences, Nanchang 330095, China

  • Received Date: 2022-03-10
    Available Online: 2023-03-23
    Abstract
  • To improve the accuracy of the water quality evaluation results, and reflect the quality status of the water environment more objectively, for the performance of support vector machines (SVM) is susceptible to the model parameters, this study presented an algorithm based on optimized SVM by krill clusters (krill herd, KH), and combined it with the surface water environmental quality standards. Five representative water quality indicators were selected as the input of the model, and five water quality standards were selected as the output. A water quality evaluation model based on KH-SVM as established, and the model was used to study the water quality status and change trend of the Poyang Lake in the high flow period, normal flow period and low flow period from 2013 to 2018. The results showed that the water quality of the Poyang Lake was basically maintained between category Ⅲ and Ⅳ Environment Quality Standard for Surface Water (GB 3838-2002), while it fluctuated greatly in each period, including mostly Ⅱ types and Ⅴ types in the wet season from 2013 to 2018, at the non-optimal level. The KH-SVM model performs well compared with the traditional evaluation method, and can reflect the water quality more accurately and objectively. The research results can provide a scientific basis for the scientific management of regional surface water resources and water environment protection. The results showed that the water quality in the North Lake area of the Poyang Lake was basically maintained between Class Ⅲ and Class Ⅳ, while the water quality in the South Lake area fluctuated greatly in different periods, with Class Ⅱ water in the high flow period and Class Ⅴ water in the normal and low flow periods. On the whole, the deterioration trend of the water quality in the Poyang Lake from 2013 to 2018 had not improved significantly, and the water quality level was still at the non-optimal level. The constructed KH-SVM model had a good performance. Compared with the traditional assessment methods, it could better realize the comprehensive assessment of water quality, and reflect the water quality status as a whole. The research can provide a scientific basis for the scientific management of regional surface water resources and water environment protection.
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