Welcome to Scholar Publishing Group

Water Pollution Prevention and Control Project, 2022, 3(1); doi: 10.38007/WPPCP.2022.030101.

Risk Assessment of Water Pollution Engineering Emergencies Based on Fuzzy Logic Algorithm

Author(s)

Pierluigi Rea

Corresponding Author:
Pierluigi Rea
Affiliation(s)

University of Balochistan, Pakistan

Abstract

Water pollution is one of the main reasons for the deterioration of the earth’s environment. It directly affects people’s water supply and would have serious consequences for public health. Emergencies often occur in water pollution projects. Because of its uncontrollability, it brings great inconvenience to non-pollution treatment, thus affecting the development of water resources. In order to effectively avoid the risk of emergencies, this paper used fuzzy logic algorithm to evaluate the risk of water pollution engineering emergencies. This paper first introduced the harm of water pollution engineering emergencies, and then analyzed the process and control strategy of water pollution engineering emergencies. After that, the emergency dispatching scheme of water pollution project was analyzed. Finally, the risk of water pollution engineering emergencies was evaluated, and the feasibility conclusion was finally reached. Compared with the general manual evaluation method, the fuzzy logic evaluation method is more accurate in the classification of emergencies. The fuzzy logic algorithm has a wide application space in the risk assessment of water pollution engineering emergencies. 

Keywords

Water Pollution Engineering, Fuzzy Logic Algorithm, Risk Evaluation, Outbreak Evaluation

Cite This Paper

Pierluigi Rea. Risk Assessment of Water Pollution Engineering Emergencies Based on Fuzzy Logic Algorithm. Water Pollution Prevention and Control Project (2022), Vol. 3, Issue 1: 1-11. https://doi.org/10.38007/WPPCP.2022.030101.

References

[1] Deletic Ana, Huanting Wang. Water pollution control for sustainable development. Engineering. (2019) 5(5): 839-840. https://doi.org/10.1016/j.eng.2019.07.013

[2] Yubao Wang. Chinese industrial water pollution and the prevention trends: An assessment based on environmental complaint reporting system (ECRS). Alexandria Engineering Journal. (2021) 60(6): 5803-5812. https://doi.org/10.1016/j.aej.2021.04.015

[3] Gaojie Wu. Water pollution management in China: recent incidents and proposed improvements. Water Science and Technology: Water Supply. (2018) 18(2): 603-611. https://doi.org/10.2166/ws.2017.139

[4] Xiaoyuan Guan, Xinman Zhu, Xiaojing Liu. Carbon Emission, air and water pollution in coastal China: Financial and trade effects with application of CRS-SBM-DEA model. Alexandria Engineering Journal. (2022) 61(2): 1469-1478. https://doi.org/10.1016/j.aej.2021.06.054

[5] Jinde Zhang, Lei Tian, Shengliang Pei. A discussion of soil and water pollution and control countermeasures in mining area of China. Hydrogeology & Engineering Geology. (2021) 48(2): 157-163.

[6] Allman Andrew. Efficient water pollution abatement. Industrial & Engineering Chemistry Research. (2019) 58(50): 22483-22487. https://doi.org/10.1021/acs.iecr.9b03241

[7] Shuming Wang, Lin Zhang. Water pollution in coal wharfs for coal loading and unloading in coal-fired power plants and its countermeasures. Journal of Coastal Research. (2020) 103(SI): 496-499. https://doi.org/10.2112/SI103-100.1

[8] Kambalimath Shruti, Paresh Chandra Deka. A basic review of fuzzy logic applications in hydrology and water resources. Applied Water Science. (2020) 10(8): 1-14. https://doi.org/10.1007/s13201-020-01276-2

[9] Azad Armin. Modeling river water quality parameters using modified adaptive neuro fuzzy inference system. Water Science and Engineering. (2019) 12(1): 45-54. https://doi.org/10.1016/j.wse.2018.11.001

[10] Vijayakumar T., R. Vinothkanna, M. Duraipandian. Fuzzy logic based aeration control system for contaminated water. Journal of Electronics. (2020) 2(01): 10-17. https://doi.org/10.36548/jei.2020.1.002

[11] Shukla Saurabh, Bhim Singh. Adaptive speed estimation with fuzzy logic control for PV‐grid interactive induction motor drive‐based water pumping. IET Power Electronics. (2019) 12(6): 1554-1562. https://doi.org/10.1049/iet-pel.2018.5571

[12] Shukla Bishnu Kant. Physico-chemical parameters and status of ground water pollution in Jalandhar-Phagwara region. Green Eng. (2019) 9(2): 212-223.

[13] Sahu Subhankar, Rohita Roy, Ruchi Anand. Harnessing the potential of biological recognition elements for water pollution monitoring. ACS sensors. (2022) 7(3.): 704-715. https://doi.org/10.1021/acssensors.1c02579

[14] Ahmed Shahid, Saba Ismail. Water pollution and its sources, effects & management: a case study of Delhi. Shahid Ahmed and Saba Ismail. International Journal of Current Advanced Research. (2018) 7(2): 10436-10442.

[15] Lomova L. A. Ecological and economic consequences of water pollution. International Journal of Engineering and Advanced Technology. (2019) 9(1): 7056-7062. https://doi.org/10.35940/ijeat.A1925.109119

[16] Xiang Li. Water contaminant elimination based on metal-organic frameworks and perspective on their industrial applications. ACS Sustainable Chemistry & Engineering. (2019) 7(5): 4548-4563. https://doi.org/10.1021/acssuschemeng.8b05751

[17] Sarker Bijoyee. Surface and ground water pollution: causes and effects of urbanization and industrialization in South Asia. Scientific Review. (2021) 7(3): 32-41. https://doi.org/10.32861/sr.73.32.41

[18] Hezhen Zheng. Sudden water pollution accidents and reservoir emergency operations: impact analysis at Danjiangkou Reservoir. Environmental technology. (2018) 39(6): 787-803. https://doi.org/10.1080/09593330.2017.1311945

[19] Mazer Wellington, Maryangela G. Lima, Ronaldo A. Medeiros-Junior. Fuzzy logic for estimating chloride diffusion in concrete. Proceedings of the Institution of Civil Engineers-Structures and Buildings. (2018) 171(7): 542-551. https://doi.org/10.1680/jstbu.16.00153

[20] Pirnazar Mojtaba. The evaluation of the usage of the fuzzy algorithms in increasing the accuracy of the extracted land use maps. International Journal of Global Environmental Issues. (2018) 17(4): 307-321. https://doi.org/10.1504/IJGENVI.2018.095063