Harnessing Explainable AI for Sustainable Agriculture: SHAP-Based Feature Selection in Multi-Model Evaluation of Irrigation Water Quality Indices DOI Open Access
Enas E. Hussein, Bilel Zerouali, Nadjem Bailek

et al.

Water, Journal Year: 2024, Volume and Issue: 17(1), P. 59 - 59

Published: Dec. 29, 2024

Irrigation water quality is crucial for sustainable agriculture and environmental health, influencing crop productivity ecosystem balance globally. This study evaluates the performance of multiple deep learning models in classifying Water Quality Index (IWQI), addressing challenge accurate prediction by examining impact increasing input complexity, particularly through chemical ions derived indices. The tested include convolutional neural networks (CNN), CNN-Long Short-Term Memory (CNN-LSTM), CNN-bidirectional Long (CNN-BiLSTM), Gated Recurrent Unit (CNN-BiGRUs). Feature selection via SHapley Additive exPlanations (SHAP) provided insights into individual feature contributions to model predictions. objectives were compare 16 identify most effective approach IWQI classification. utilized data from 166 wells Algeria’s Naama region, with 70% training 30% testing. Results indicate that CNN-BiLSTM outperformed others, achieving an accuracy 0.94 area under curve (AUC) 0.994. While CNN effectively capture spatial features, they struggle temporal dependencies—a limitation addressed LSTM BiGRU layers, which further enhanced bidirectional processing model. importance analysis revealed index (qi) qi-Na was significant predictor both Model 15 (0.68) (0.67). qi-EC showed a slight decrease importance, 0.19 0.18 between models, while qi-SAR qi-Cl maintained similar levels. Notably, included qi-HCO3 minor score 0.02. Overall, these findings underscore critical role sodium levels predictions suggest areas enhancing performance. Despite computational demands model, results contribute development robust management, thereby promoting agricultural sustainability.

Language: Английский

Advancing Water Quality Assessment and Prediction Using Machine Learning Models, Coupled with Explainable Artificial Intelligence (XAI) Techniques Like Shapley Additive Explanations (SHAP) For Interpreting the Black-Box Nature DOI Creative Commons
Randika K. Makumbura, Lakindu Mampitiya, Namal Rathnayake

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102831 - 102831

Published: Sept. 1, 2024

Water quality assessment and prediction play crucial roles in ensuring the sustainability safety of freshwater resources. This study aims to enhance water by integrating advanced machine learning models with XAI techniques. Traditional methods, such as index, often require extensive data collection laboratory analysis, making them resource-intensive. The weighted arithmetic index is employed alongside models, specifically RF, LightGBM, XGBoost, predict quality. models' performance was evaluated using metrics MAE, RMSE, R2, R. results demonstrated high predictive accuracy, XGBoost showing best (R2 = 0.992, R 0.996, MAE 0.825, RMSE 1.381). Additionally, SHAP were used interpret model's predictions, revealing that COD BOD are most influential factors determining quality, while electrical conductivity, chloride, nitrate had minimal impact. High dissolved oxygen levels associated lower indicative excellent pH consistently influenced predictions. findings suggest proposed approach offers a reliable interpretable method for prediction, which can significantly benefit specialists decision-makers.

Language: Английский

Citations

20
Variación espacial y temporal del Índice de calidad del agua en la estratificación térmica del lago de Zirahuén, Michoacán, México DOI Creative Commons
Rosalva Mendoza-Ramírez,

Ramón Domínguez‐Mora,

Rodolfo Silva

et al.

Ingeniería del agua, Journal Year: 2025, Volume and Issue: 29(1), P. 15 - 29

Published: Jan. 30, 2025

Se analizaron las variaciones espaciales y temporales del índice de calidad agua en tres capas estratificación térmica un cuerpo endorreico Michoacán, México. utilizaron dos métodos, el primero es desarrollado por la Fundación Nacional Saneamiento los Estados Unidos América, que usa nueve variables, físicas, químicas bacteriológicas, para estimación índice. El segundo parámetros son recomendados Comisión Agua conjunto datos analizado una base pública con información años 2012 a 2019 cuatro sitios muestreo. Los resultados mostraron lago buena meses se rompe ligeramente mejor registrada térmica.

Citations

0
Assessment of groundwater suitability for drinking and irrigation purposes with probable health threats in a semiarid river basin of South India DOI Open Access

Meera Rajan,

D. Karunanidhi,

B. Gurugnanam

et al.

Water Environment Research, Journal Year: 2025, Volume and Issue: 97(2)

Published: Feb. 1, 2025

In the semiarid river basin of south India, present study focuses on appropriateness water for drinking and irrigation as well risks to human health posed by pollutants. A total 68 groundwater samples were evaluated consumption purposes. With a high electrical conductivity peaking at 3430 μS/cm an alkaline composition, has salinity poor quality. Durov's figure displays trend along dissolution or mixing line identifies geochemical facies samples. According quality indexes, majority are categorized unfit (26.47%), extremely bad (36.76%), (26.47%). elemental concentrations, data grouped into three clusters using hierarchical cluster analysis. geographical distribution, nitrate levels safe over about 320.25 km2 dangerous 121.10 km2, whereas fluoride 293.92 147.43 km2. About 50.65 14.70% samples, fell no restriction category irrigation, indicating acceptable standards. Low sodium in soils indicated parameters like SAR, %Na, PI, RSC, MR, KR; SAR values fall C2S1, C3S1, C4S1 categories. Doneen's diagram, 70.5% had PI >75, suitability; Wilcox diagram classified 22.05% excellent 69.11% good permissible irrigation. risk assessment, 75% babies, 63% children, teens, 54% adults have THI >1 fluoride. 45% newborns, 42% kids, teenagers, 29% nitrate. Infants, teenagers danger. order safeguard against nitrate, emphasizes necessity efficiently managing resources, lowering agricultural pollution, assuring clean water. PRACTITIONER POINTS: area, 79.25 based DWQI. Based IWQI, 70.33 area is recognized suitable practices. Geogenic anthropogenic activities contribute pollution THI, infants children more prone contamination.

Language: Английский

Citations

0
Water Quality Index For Urbanized Watersheds DOI Creative Commons

Luiz Guilherme Maiolino Lacerda de Barros,

Fábio José Roca dos Santos,

Marcelo Campos

et al.

Revista de Gestão Social e Ambiental, Journal Year: 2025, Volume and Issue: 19(2), P. e010939 - e010939

Published: Feb. 13, 2025

Objective: The objective of this study was to design a Water Quality Index (WQI) sensitive the limits established by current legislation, focusing on sustainable management urban water bodies. Theoretical Framework: research addresses importance regionalizing quality indices improve monitoring management. Furthermore, it highlights that used in streams lack good sensitivity isolated parameter variations, which justifies need for new index. Method: development WQI consisted four stages: selection, normalization method, weight and aggregation method. initial parameters, such as total nitrogen, solids, temperature, were replaced ammonia, nitrate, surfactants. Normalization curves also created, weights adjusted. Results Discussion: WQIBHU (IQABHU) demonstrated greater variations compared WQICETESB (IQACETESB), with exception ANH-01 point. Most values IQABHU lower than those IQACETESB, indicating non-compliance legal stream classes. showed better performance turbidity dissolved oxygen (DO), while IQACETESB masked real conditions, especially regarding E. coli parameter. "±" tool allowed more detailed quality, making suitable continuous supporting decision-making competent authorities. Research Implications: has significant practical implications, proposed can be management, contributing sustainability bodies ensuring compliance environmental legislation. Originality/Value: value originality work lie proposal index adapted reality bodies, using systematic methodology modifying improving parameters weights, could represent an important advancement

Language: Английский

Citations

0
Small hydropower impacts on water quality: a comparative analysis of different assessment methods DOI Creative Commons
Paweł Tomczyk,

Michał Tymcio,

Alban Kuriqi

et al.

Water Resources and Industry, Journal Year: 2025, Volume and Issue: unknown, P. 100282 - 100282

Published: Feb. 1, 2025

Language: Английский

Citations

0
A Comprehensive Review of the Quality of Drinking and Agricultural Water in the Gambia DOI Creative Commons

Ousman A. Bojang

European Journal of Theoretical and Applied Sciences, Journal Year: 2025, Volume and Issue: 3(2), P. 254 - 266

Published: March 12, 2025

Water pollution in The Gambia represents a significant environmental concern, particularly urban areas and along riverbanks. This study aims to conduct comprehensive assessment of the current state water its implications for both drinking irrigation resources. Utilizing secondary data obtained from variety reputable sources, including official government websites academic databases such as ScienceDirect, Scopus, Springer, ResearchGate, Google Scholar, this research seeks elucidate primary status potable agricultural resources within Gambia. River, with tributaries, rainwater, borehole constitutes vital resource practices. A portion population, centers, depends on National Electricity Company (NAWEC) their supply. Numerous households have turned domestic boreholes source applications, attributable heightened demand services NAWEC inadequacy providing coverage across nation. However, utilization these presents contamination risks, primarily due insufficient routine disinfection protocols inadequate monitoring by Department Resources. In 2018, achieved progress enhancing quality water, increasing access 86% 2010 90% population. it is noteworthy that only 34% safely managed services.

Language: Английский

Citations

0
Energy and water pollution DOI
Snigdhendubala Pradhan, Burak Yüzer, Yusuf Biçer

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
Regional Irrigation Water Quality Index for the Old Brahmaputra River, Bangladesh: A Multivariate and GIS-Based Spatiotemporal Assessment DOI Creative Commons
Md. Touhidul Islam,

AKASH,

Mst Rokeya Khatun

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103667 - 103667

Published: Dec. 1, 2024

Language: Английский

Citations

2
An Environmental Study to Determine The Groundwater Quality Index for Agricultural Purposes in Areas Near The Bahr Al-Najaf Depression Using GIS DOI Open Access

Zainab Hussain Abdulshaheed,

Mohanad Hazim Halboos

IOP Conference Series Earth and Environmental Science, Journal Year: 2024, Volume and Issue: 1371(8), P. 082045 - 082045

Published: July 1, 2024

Abstract In this research, the quality of groundwater was studied for fifty wells distributed in areas near Bahr al-Najaf depression. Where a large discrepancy observed readings and concentrations thirteen variables that were identified, they included both acid function pH their ranged between (7.11 - 7.29) electrical conductivity EC whose values number measured (2351 8901 μS/cm) total dissolved salts TDS (1520 to 5773 mg/L). study, positive ions also measured, including calcium, (155 594 mg/L), sodium (235 895 potassium (2 101 magnesium (60 337 Negative represented by sulfates SO 4 2- studied, (517 1919 chlorides Cl − (293 1243 nitrates NO 3 (0.3 1.8 The heavy metals water these lead (0.00 0.0183 cadmium 0.0038 manganese (0.2464 1.1628 Then index WQI determined, results noted after using geographic information system GIS when drawing maps distributing on them.

Language: Английский

Citations

1
Perceived and Physical Quality of Drinking Water in Pavlodar and Akmola Rural Regions of Kazakhstan DOI Open Access
Raikhan Beisenova, Kamshat Tussupova, Rumiya Tazitdinova

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7625 - 7625

Published: Sept. 3, 2024

Water quality in rural areas of developing countries is a notable problem. In this article, drinking water from eleven villages the Pavlodar and Akmola region Kazakhstan was analyzed. Questionnaires village respondents chemical components were analyzed to identify water. each villages, content varied depending on source region, we observed that some cations anions exceed MPC. Respondents’ perceptions are associated with sources physical components. For example, respondents’ satisfaction by inside tap central systems’ high, answers those whose private wells showed more mixed levels. The indicators closely related mineralization general hardness. total microbial count has significant relationship complaints about unpleasant taste, odor, salinity. between perceived critical aspect resource management. By bridging gap scientific assessments public perceptions, can enhance health, build trust management systems, promote sustainability use.

Language: Английский

Citations

1