Suitability and its Physicochemical Characterization for Deciphering Surface Water Quality Using Entropy (E) and Fuzzy (F)-AHP Optimization Model in Mahanadi River Basin (MRB), Odisha (India)

Water science and technology library, Journal Year: 2025, Volume and Issue: unknown, P. 457 - 497

Published: Jan. 1, 2025

Language: Английский

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Spatiotemporal comprehensive evaluation of water quality based on enhanced variable fuzzy set theory: A case study of a landfill in karst area

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 450, P. 141882 - 141882

Published: March 29, 2024

Language: Английский

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Construction and application of a composite model for acid mine drainage quality evaluation based on analytic hierarchy process, factor analysis and fuzzy comprehensive evaluation: Guizhou Province, China, as a case

Water Environment Research, Journal Year: 2024, Volume and Issue: 96(2)

Published: Feb. 1, 2024

Abstract The process of mining activities often causes the formation acid mine drainage (AMD). Through rock fractures and underground rivers, AMD can easily enter groundwater environment near mines cause serious pollution to water quality. In order effectively evaluate quality polluted understand its threat ecosystem around mine. this study, four distribution areas, Guiyang City, Bijie Qianxinan Prefecture, Qiandongnan Prefecture in Guizhou Province, were used as study area. A composite model for evaluation was constructed using factor analysis (FA), analytic hierarchy (AHP), fuzzy comprehensive (FCE). Furthermore, by introducing weighted average method level characteristic value ( J ), type body environmental evaluated comprehensively, respectively. Compared with traditional model, AHP‐FA‐FCE has obvious advantages selection indicators, determination indicator weights, types, results obtained are more reasonable accurate. Three common factors mainly controlled mineral oxidation factor, human activity dissolution extracted dimension reduction original hydrochemical data FA. samples SO 4 2− , Fe, Al, Mn, Na, F − showed that area a whole dominated class V water, which accounted 77.78% total. Based on statistical data, it found influenced water–rock interactions components, is ‐Ca‐Mg type. from excellent poor. all areas than 3, overall strong interaction may be main pollution. provide some theoretical reference AMD‐polluted areas. Practitioner Points constructed. analysis‐based proposed. This improved weighting evaluation. discriminant based various types evaluated.

Language: Английский

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Water quality assessment of deep learning-improved comprehensive pollution index: a case study of Dagu River, Jiaozhou Bay, China

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(25), P. 66853 - 66866

Published: April 26, 2023

Language: Английский

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Evaluating Machine Learning-Based Soft Sensors for Effluent Quality Prediction in Wastewater Treatment Under Variable Weather Conditions

Sensors, Journal Year: 2025, Volume and Issue: 25(6), P. 1692 - 1692

Published: March 8, 2025

Maintaining effluent quality in wastewater treatment plants (WWTPs) comes with significant challenges under variable weather conditions, where sudden changes flow rate and increased pollutant loads can affect performance. Traditional physical sensors became both expensive susceptible to failure extreme conditions. In this study, we evaluate the performance of soft based on artificial intelligence (AI) predict components underlying calculation index (EQI). We thus focus our study three ML models: Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU) Transformer. Using Benchmark Simulation Model no. 2 (BSM2) as WWTP, were able obtain datasets for training models their dry scenarios, rainy episodes, storm events. To improve classification networks according type weather, developed a Random Forest (RF)-based meta-classifier. The results indicate that conditions Transformer network achieved best performance, while rain episodes scenarios GRU was capture variations highest accuracy. LSTM performed normally stable but struggled rapid fluctuations. These support decision integrate AI-based predictive WWTPs, highlighting top performances recurrent feed-forward (Transformer) obtaining predictions different

Language: Английский

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Spatial evaluation of groundwater quality based on toxicological indexes and their effects on ecology and human health

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 377, P. 134255 - 134255

Published: Oct. 5, 2022

Language: Английский

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Simplification and simulation of evaluation process for low efficiency constructed wetlands based on principal component analysis and machine learning

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 176873 - 176873

Published: Oct. 16, 2024

Language: Английский

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A quantitative approach on environment-food nexus: integrated modeling and indices for cumulative impact assessment of farm management practices

PeerJ, Journal Year: 2023, Volume and Issue: 11, P. e14816 - e14816

Published: Jan. 30, 2023

Best management practices (BMPs) are promising solutions that can partially control pollution discharged from farmlands. These strategies, like fertilizer reduction and using filter strips, mainly nutrient (N P) loads in basins. However, they have secondary impacts on nutrition production ecosystem. This study develops a method to evaluate the cumulative environmental of BMPs. It also introduces calculates food's footprint (FEF) for accounting total damages per production.This combines soil water assessment tool (SWAT) basin simulation with indices ReCiPe, life cycle impact (LCIA) method. By these means, effectiveness BMPs loads, yields, footprints (WFs) evaluated converted as equivalent damages. was verified Zrebar Lake, western Iran. Here, consumption, WFs, eutrophication main into health ecological impairments. Two methods, entropy performance index (EPI), used weighting normalized endpoints last step.Results showed 25-50% less irrigation combined vegetated strips reduce N P about 34-60% 8-21%, respectively. decrease ecosystem by 5-9% risks 7-14%. freshwater is more critical damage adversely reduces 1.7-3.7%. means decline risks, which threatens production. FEF presents solve this dilemma sustainability In area, 4-9% friendly than menacing. Finally, concludes SWAT-ReCiPe provides quantitative framework environment-food nexus assessment. due uncertainties, recommended comparing strategies instead reporting certain values.

Language: Английский

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Integrated prediction of water pollution and risk assessment of water system connectivity based on dynamic model average and model selection criteria

PLoS ONE, Journal Year: 2023, Volume and Issue: 18(10), P. e0287209 - e0287209

Published: Oct. 19, 2023

In recent years, with the rapid development of economy and society, river water environmental pollution incidents occur frequently, which seriously threaten ecological health safety supply. Water prediction is an important basis for understanding trends aquatic environment, preventing improving quality. However, due to large uncertainty hydrological, meteorological environment systems, it challenging accurately predict quality using single model. order improve accuracy stability prediction, this study proposed integrated learning criterion that dynamic model average selection (DMA-MS) used construct prediction. Finally, based on results model, connectivity risk project was evaluated. The demonstrate DMA-MS effectively characteristics a could provide more accurate stable predictions. mean absolute percentage error (MAPE) only 11.1%, 24.5%-45% lower than addition, indicates nearest station most factor affecting performance station, managers should pay increased attention control section close their area. assessment indicate although risks were not obvious, may still bring some crossed system, especially in non-flood season.

Language: Английский

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Application of selected groundwater quality indices in anthropogenically transformed areas

Studies of the Industrial Geography Commission of the Polish Geographical Society, Journal Year: 2024, Volume and Issue: 38(1)

Published: March 27, 2024

Correctly assessing the impact of waste landfills on groundwater quality requires development and use comprehensive tools that consider content individual components in water, as well those relating to hydrochemical background. The article presents a comparative analysis selected water indices used around world assess environmental threat caused by sources pollution. paper includes following indicators: Water Quality Index, Landfill Pollution Nemerow Backman Canadian Horizontal Ratio, Enrichment Factor Fuzzy Quality. Attention was paid values indices, their applicability municipal industrial landfills, limitations use. A literature review has proven some such Index are very often they provide reliable results. methods help conduct rational management, complement monitoring, serve tool for making decisions various protection areas.

Language: Английский

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