Rivers and lakes are an important part of the water environment and also an important part of social and economic development. However, rivers and lakes contain a large number of toxic and harmful substances, resulting in rapid deterioration of water quality. The planning of water pollution control system is based on optimization theory. By coordinating the relationship between the components of the water pollution control system, the pollution control cost of the whole water pollution control system is minimized, but it must meet the water quality requirements. The traditional methods to solve nonlinear problems include linear methods and nonlinear programming methods. However, traditional methods are not only complex, but also have strict mathematical requirements and tend to local extremes. It is often easy to fall into local extremum, and the result is unsatisfactory. Based on this, this paper first investigated the concept and content of water pollution control system planning, and discussed the classification and treatment of water pollution control system planning. Then, this paper put forward the method of sewage resource planning, and then used chaos particle swarm optimization algorithm to strengthen the construction of water pollution control system. Through comparison, it can be seen that the degree of pollution control after the new water pollution control system was 31.1% higher than that before the control, and the degree of resource protection was 31.5% higher than that before the control. After using the new water pollution control system, the wastewater treatment efficiency was 0.29 higher than that of the traditional monitoring system, and the system management efficiency was 0.26 higher than that of the traditional system.

Zabolotny Wojciech. Chaotic Particle Swarm Optimization in Water Pollution Control System Planning. Water Pollution Prevention and Control Project (2020), Vol. 1, Issue 3: 39-49. https://doi.org/10.38007/WPPCP.2020.010305.

[1] Mingjing He. Waste-derived biochar for water pollution control and sustainable development. Nature Reviews Earth & Environment. (2020) 3(7): 444-460. 

[2] Qi Ji, Xin Tang, Xican Xi. The size distribution of firms and industrial water pollution: a quantitative analysis of China. American Economic Journal: Macroeconomics. (2018) 13(1): 151-151. https://doi.org/10.1257/mac.20180227

[3] Sharma Rakesh K. In situ hydroxyl radical generation using the synergism of the Co-Ni bimetallic centres of a developed nanocatalyst with potent efficiency for degrading toxic water pollutants. Materials Chemistry Frontiers. (2020) 4(2): 605-620. https://doi.org/10.1039/C9QM00628A

[4] Shafeeque Muhammad. Understanding temporary reduction in atmospheric pollution and its impacts on coastal aquatic system during COVID-19 lockdown: a case study of South Asia. Geomatics, Natural Hazards and Risk. (2020) 12(1): 560-580. 

[5] Ismail Muhammad. Pollution, toxicity and carcinogenicity of organic dyes and their catalytic bio-remediation. Current pharmaceutical design. (2019) 25(34): 3645-3663. https://doi.org/10.2174/1381612825666191021142026

[6] Ryabushko L. I., A. V. Bondarenko, S. S. Barinova. Indicator benthic microalgae in assessment of the degree of organic water pollution on the example of Crimean coastal waters of the Sea of Azov. Marine Biological Journal. (2019) 4(3): 69-80.

[7] Li Zhou, Lingzhi Li, Jikun Huang. The river chief system and agricultural non-point source water pollution control in China. Journal of Integrative Agriculture. (2020) 20(5): 1382-1395. https://doi.org/10.1016/S2095-3119(20)63370-6

[8] Martini Sri. Membrane technology for water pollution control: a review of recent hybrid mechanism. Jurnal Rekayasa Kimia & Lingkungan. (2020) 17(1): 83-96. https://doi.org/10.23955/rkl.v17i1.23610

[9] Xiang Li. Research Progress on the Application of Magnetic Nanomaterials in Water Pollution Control. Mini-Reviews in Organic Chemistry. (2020) 20(3): 240-249. https://doi.org/10.2174/1570193X19666220328162619

[10] Hanif M. A. Impact of Kapotaksha river water pollution on human health and environment. Progressive agriculture (2020) 31(1): 1-9. https://doi.org/10.3329/pa.v31i1.48300

[11] Jianhua Wu. Statistical and multivariate statistical techniques to trace the sources and affecting factors of groundwater pollution in a rapidly growing city on the Chinese Loess Plateau. Human and Ecological Risk Assessment: An International Journal. (2020) 26(6): 1603-1621. https://doi.org/10.1080/10807039.2019.1594156

[12] Obinna Isiuku Beniah, Enyoh Christian Ebere. A review: Water pollution by heavy metal and organic pollutants: Brief review of sources, effects and progress on remediation with aquatic plants. Analytical Methods in Environmental Chemistry Journal. (2019) 2(03): 5-38. https://doi.org/10.24200/amecj.v2.i03.66

[13] Singh Nirala, Bryan R. Goldsmith. Role of electrocatalysis in the remediation of water pollutants. ACS Catalysis (2020) 10(5): 3365-3371. https://doi.org/10.1021/acscatal.9b04167

[14] Bolisetty Sreenath, Mohammad Peydayesh, Raffaele Mezzenga. Sustainable technologies for water purification from heavy metals: review and analysis. Chemical Society Reviews. (2019) 48(2): 463-487. https://doi.org/10.1039/C8CS00493E

[15] Chaoqing Yu. Managing nitrogen to restore water quality in China. Nature. (2019) 567(7749): 516-520. https://doi.org/10.1038/s41586-019-1001-1