Interactions Evaluation between the Jouamaa Hakama Groundwater and Ouljat Echatt River in the North of Morocco, Using Hydrochemical Modeling, Multivariate Statistics and GIS DOI Open Access
El Mustapha Azzirgue, El Khalil Cherif, Hamza El Azhari

et al.

Water, Journal Year: 2023, Volume and Issue: 15(9), P. 1752 - 1752

Published: May 2, 2023

The processed discharges from Tangier Automotive City’s (TAC) Chrafate Wastewater Treatment Plant (WWTP) contaminate the Jouamaa Hakama groundwater and Ouljat Echatt river. We aimed to study unknown interactions between surface water (SW) (GW). A total of nine GW samples eleven SW were taken analyzed in 2021 2022 determine 16 physical chemical parameters (pH, temperature (T), electrical conductivity (EC), dissolved oxygen (DO), hardness (TH), turbidity (TURB), solids (TDS), cations: Na+, K+, Mg2+ Ca2+, anions: Cl−, CO32−, HCO3−, NO3−, SO42−). For exploitation data, we used a methodology based on hydrochemical modeling (HM), principal component analysis (PCA), Water Quality Index (WQI), Irrigation (IWQI), inverse distance weighted interpolation (IDW) using Geographic Information Systems (GIS), regression (RA). studied interaction river (contaminated by WWTP) with shallow strip 100 m either side understand transverse longitudinal dispersion this pollution investigations indicated that major ions found characterized different order anion list Cl− > CO32− NO3− HCO3− SO42− respectively, while concentrations cations showed same for both: Na+ Ca2+ K+. As result, Piper diagram type sodium chloride magnesium carbonate, belongs sulfate type. WQI waters are all unsuitable use (WQI 100), is poor quality 76). Moreover, results GW–SW along revealed significant relationship (R2 = 0.85), which means strong circulation infiltration contaminated into occur area. approaches followed have been proven effective evaluating human animal uses. These can help decision-makers region take suitable management measures mitigate environmental problem.

Language: Английский

Seasonal Variations and Assessment of Surface Water Quality Using Water Quality Index (WQI) and Principal Component Analysis (PCA): A Case Study DOI Open Access
Driss Hammoumi, Hefdhallah S. Al-Aizari,

Ibrahim A. Alaraidh

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5644 - 5644

Published: July 1, 2024

In recent decades, water pollution has become a major concern, threatening both humans and natural ecosystems. This study aims to analyze seasonal variations in the quality of surface Nador Canal Morocco, using index (WQI) principal component analysis (PCA). Surface samples from 22 sites along canal were analyzed for physical, chemical, heavy metal parameters. The results revealed significant variations, with decreasing summer months, while its generally improved winter. predominant type was Na+-Cl− summer, it mixed Ca2+-Na+-HCO3− WQI values also varied seasonally, an average 113.04 160.6 winter, classifying as unsuitable drinking but suitable irrigation throughout year. are consistent Canal, where showed that there quality. ions like magnesium, sodium, calcium predominantly indicate influences anthropogenic sources. metals nutrients, signaling industrial agricultural runoff, especially prominent. These influenced by rainfall patterns emphasizing need adaptive management practices maintain crop soil health. provides new insights into dynamic interplay between factors quality, offering valuable guidance local resource management.

Language: Английский

Citations

17
Assessment of Surface Water Quality Using the Water Quality Index (IWQ), Multivariate Statistical Analysis (MSA) and Geographic Information System (GIS) in Oued Laou Mediterranean Watershed, Morocco DOI Open Access
Hamza El Azhari, El Khalil Cherif, Otmane Sarti

et al.

Water, Journal Year: 2022, Volume and Issue: 15(1), P. 130 - 130

Published: Dec. 29, 2022

Surface water is used for a variety of purposes, including agriculture, drinking water, and other services. Therefore, its quality crucial irrigation, human welfare, health. Thus, the main objective to improve surface assessment geochemical analysis evaluate anthropogenic activities’ impact on in Oued Laou watershed, Northern Morocco. Thirteen samples were characterized 26 physicochemical biological parameters. In this aspect, emerging techniques such as multivariate statistical approaches (MSA), indices (WQI), irrigation (IWQI), Geographic Information System (GIS) employed identify sources pollution, their suitability consumption, distribution quality. The results showed that major ion concentrations reported following order: Ca2+, Na+, Mg2+, K+; HCO3− > CO32− Cl− SO42− NO3− F− PO43− NO2−. It was also demonstrated almost all parameters had lower than World Health Organization (WHO) limits, except bicarbonate ions (HCO3−) biochemical oxygen demand five days (BOD5), which exceeded WHO limits at 120 mg/L 3 mg/L, respectively. Furthermore, types Ca2+-HCO3− (Calcium-Bicarbonate) Ca2+-Mg2+-HCO3− (Calcium-Magnesium-Bicarbonate) predominated water. Principal Component Analysis (PCA) indicates river exposed two forms contamination, first being attributed activities while second reflects water-sediment interaction. Hierarchical Cluster (HCA), reflecting mineralization study area, has classified into four clusters. Inverse Distance Weighting (IDW) WQI 7.69% 38.46% represent, respectively, excellent good drinking. At same time, IWQI revealed 92.30% irrigation. As result, combination WQIs, PCA, IWQI, GIS effective providing clear information assessing controlling factors can support decision-making susceptible locations northern

Language: Английский

Citations

42
Water Scarcity Management to Ensure Food Scarcity through Sustainable Water Resources Management in Saudi Arabia DOI Open Access
Bader Alhafi Alotaibi, Mirza Barjees Baig, Mohamed Najim

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(13), P. 10648 - 10648

Published: July 6, 2023

Saudi Arabia (SA) faces a water shortage, and it further challenges sustainable agriculture, industrial development the well-being of people. SA uses more than 80% its resources for agricultural purposes. Groundwater extractions account most this demand, which is not sustainable. Hence, study aims to analyze management practices used in propose viable workable solutions achieve scarce resources. This based on critical evaluation information available sector SA. About 89% demand Kingdom non-sustainably met through over-pumping from groundwater 9.3% by energy-intensive desalination. invested dams developed rainwater harvesting enhance surface availability increase recharge capacity renewable aquifers. As there huge demand–supply gap, tools are leading sustainability compared supply enhancement that capital intensive. A national policy, together with can make systems input efficient higher productivity. Region-specific plans need be implemented match gap. Conjunctive utilizing prioritizing different sources viz. harvested rainwater, treated wastewater, desalinized water, groundwater, vital management. In addition, climate change has exerted pressure as well users, adaptation measures terms The pressing problem depletion degradation subsurface sources. implement many technological legislative changes addition service management, conservation measures, paying reasonable justifiable price strengthening state agencies will

Language: Английский

Citations

37
Analysis of self-organizing maps and explainable artificial intelligence to identify hydrochemical factors that drive drinking water quality in Haor region DOI
Md. Yousuf Mia, Md. Emdadul Haque, Abu Reza Md. Towfiqul Islam

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 904, P. 166927 - 166927

Published: Sept. 11, 2023

Language: Английский

Citations

29
Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak DOI

Swapan Talukdar,

Shahfahad,

Somnath Bera

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 351, P. 119866 - 119866

Published: Dec. 25, 2023

Language: Английский

Citations

25
Machine learning driven forecasts of agricultural water quality from rainfall ionic characteristics in Central Europe DOI Creative Commons
Safwan Mohammed, Sana Arshad, Bashar Bashir

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 293, P. 108690 - 108690

Published: Jan. 21, 2024

Sodium hazard poses a critical threat to agricultural production globally and regionally which has been previously predicted from ground or surface water. Monitoring rainwater quality in this context is ignored but essential for water management central Europe. Our study focused predict sodium adsorption ratio (SAR) 1985 2021 ten ionic species of (pH, EC, Cl-, SO4−2, NO3-, NH4+, Na+, K+, Mg2+, Ca2+) employing four machine learning (random forest (RF), gaussian process regression (GU), random subspace (RSS), artificial neural network-multilayer perceptron (ANN-MLP)) methods at three stations K-puszta (KP), Farkasfa (FAK), Nyirjes (NYR) Hungary, Exploratory data analysis was performed using the Mann-Kendall test, Pearson correlation, principal component (PCA). Rainwater composition revealed highest percentage SO4−2 ions i.e., 21 31%, followed by 10 15% Na+ ions. test significant (p < 0.05) increasing trend SAR portraying it serious limiting production. Machine results model runs all algorithms prediction KP station proved efficacy ANN-MLP as superior with RMSE range 0.02 0.05, RF 0.14 0.19 scenario 2 (SC-2) (Na+, Ca2+). Validation best-selected algorithm (ANN-MLP) also low 0.08 0.05 both FAK NYR stations, respectively. Hence, efficiency forecasting proves be meticulous tool enhancing practices Central Europe resource crop future.

Language: Английский

Citations

12
Surface water quality prediction in the lower Thoubal river watershed, India: A hyper-tuned machine learning approach and DNN-based sensitivity analysis DOI
Md Hibjur Rahaman, Haroon Sajjad,

Shabina Hussain

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(3), P. 112915 - 112915

Published: May 3, 2024

Language: Английский

Citations

9
Identifying factors affecting irrigation metrics in the Haor basin using integrated Shannon's entropy, fuzzy logic and automatic linear model DOI
Md. Yousuf Mia, Abu Reza Md. Towfiqul Islam,

Jannatun Nahar Jannat

et al.

Environmental Research, Journal Year: 2023, Volume and Issue: 226, P. 115688 - 115688

Published: March 15, 2023

Language: Английский

Citations

21
Fuzzy logic, geostatistics, and multiple linear models to evaluate irrigation metrics and their influencing factors in a drought-prone agricultural region DOI
S. M. Rabbi Al Zihad, Abu Reza Md. Towfiqul Islam, Md. Abu Bakar Siddique

et al.

Environmental Research, Journal Year: 2023, Volume and Issue: 234, P. 116509 - 116509

Published: July 1, 2023

Language: Английский

Citations

17
Interpreting optimised data-driven solution with explainable artificial intelligence (XAI) for water quality assessment for better decision-making in pollution management DOI
Javed Mallick, Saeed Alqadhi, Hoang Thi Hang

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(30), P. 42948 - 42969

Published: June 17, 2024

Language: Английский

Citations

5