Enhancing water quality monitoring through the integration of deep learning neural networks and fuzzy method.

Autor: Mokarram M; Department of Geography, Faculty of Economics, Management and Social Sciences, Shiraz University, Shiraz, Iran. Electronic address: m.mokarram@shirazu.ac.ir., Pourghasemi HR; Department of Soil Science, College of Agriculture, Shiraz University, Shiraz, Iran. Electronic address: hr.pourghasemi@shirazu.ac.ir., Pham TM; Research group on Fuzzy Set Theory and Optimal Decision-making Model in Economics and Management, Vietnam National University, Hanoi, 144 Xuan Thuy str., Hanoi 100000, Viet Nam; Laboratory of Applied Radioisotope Technology, VNU School of Interdisciplinary Sciences and Arts, Vietnam National University, Hanoi, 144 Xuan Thuy str., Hanoi 100000, Viet Nam. Electronic address: phamminhtam1989@gmail.com.
Jazyk: angličtina
Zdroj: Marine pollution bulletin [Mar Pollut Bull] 2024 Sep; Vol. 206, pp. 116698. Date of Electronic Publication: 2024 Jul 12.
DOI: 10.1016/j.marpolbul.2024.116698
Abstrakt: The escalating growth of the global population has led to degraded water quality, particularly in seawater environments. Water quality monitoring is crucial to understanding the dynamic changes and implementing effective management strategies. In this study, water samples from the southwestern regions of Iran were spatially analyzed in a GIS environment using geostatistical methods. Subsequently, a water quality map was generated employing large and small fuzzy membership functions. Additionally, advanced prediction models using neural networks were employed to forecast future water pollution trends. Fuzzy method results indicated higher pollution levels in the northern regions of the study area compared to the southern parts. Furthermore, the water quality prediction models demonstrated that the LSTM model exhibited superior predictive performance (R 2  = 0.93, RMSE = 0.007). The findings also underscore the impact of urbanization, power plant construction (2010 to 2020), and inadequate urban wastewater management on water pollution in the studied region.
Competing Interests: Declaration of competing interest The authors have no competing interests to declare that are relevant to the content of this article.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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