Based on IF-PSO River Basin Water Pollutant Total Amount Control Optimization Model

Ming Hui Chen; Wei Liu; Ze Sen Wang; Yu Li

doi:10.4028/www.scientific.net/AMM.508.269

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 508Based on IF-PSO River Basin Water Pollutant Total...

Based on IF-PSO River Basin Water Pollutant Total Amount Control Optimization Model

Abstract:

This research based on the total amount control of river basin water pollution reducing, and with YiTong river basin as the study case, to obtain the optimal decision scheme of water environmental pollution control, acquired in 2015 the smallest reduction of COD and ammonia nitrogen is 77804.53 tons and 6644.92 tons, in 2020 obtained the smallest reduction of COD and ammonia nitrogen is 33518.49 tons and 2887.69 tons; acquired in 2020 the smallest reduction of COD and ammonia nitrogen is 77103.39 tons and 6584.52 tons, in 2010 obtained the smallest reduction of COD and ammonia nitrogen is 34219.62 tons and 2948.09 tons, provided decision-making support for the basin water pollution control, improve watershed management and control of water pollutants.

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Periodical:

Applied Mechanics and Materials (Volume 508)

Pages:

269-274

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.508.269

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Online since:

January 2014

Authors:

Ming Hui Chen, Wei Liu, Ze Sen Wang, Yu Li*

Keywords:

IF-PSO, Total Amount Control, Water Pollution

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* - Corresponding Author

References

[1] Li Yongping, Huang Guohe, Nie Songlin. An interval-parameter multi-stage stochastic programming model for water resources management under uncertainty[J]. Advances in Water Resources, 2006, V29(5): 776-789.

DOI: 10.1016/j.advwatres.2005.07.008

Google Scholar

[2] Maqsood I, Huang Guohe, Huang Yuefeng, et al. ITOM: An interval-parameter two-stage optimization model for stochastic planning of water resources systems[J]. Stochastic Environmental Research and Risk Assessment, 2005, V19(2): 125-133.

DOI: 10.1007/s00477-004-0220-6

Google Scholar

[3] Huang Guohe, Loucks D. P. An inexact two-stage stochastic programming model for water resources management under uncertainty[J]. Civil Engineering and Environmental Systems, 2000, V17(2): 95-118.

DOI: 10.1080/02630250008970277

Google Scholar

[4] Li Yongping, Huang Guohe, Nie Songlin, et al. Inexact multistage stochastic integer programming for water resources management under uncertainty[J]. Journal of Environmental Management, 2008, V88(1): 93-107.

DOI: 10.1016/j.jenvman.2007.01.056

Google Scholar

[5] Fujiwara O., Gnanendran S. K., Ohgak S. River quality management under stochastic streamflow[J]. Journal of Environmental Engineering, 1986, V112(2): 185-198.

DOI: 10.1061/(asce)0733-9372(1986)112:2(185)

Google Scholar