Water Resources, Год журнала: 2024, Номер 51(S2), С. S201 - S215
Опубликована: Дек. 1, 2024
Язык: Английский
Water, Год журнала: 2024, Номер 16(2), С. 264 - 264
Опубликована: Янв. 11, 2024
The evaluation of groundwater quality is crucial for irrigation purposes; however, due to financial constraints in developing countries, such evaluations suffer from insufficient sampling frequency, hindering comprehensive assessments. Therefore, associated with machine learning approaches and the water index (IWQI), this research aims evaluate Naama, a region southwest Algeria. Hydrochemical parameters (cations, anions, pH, EC), qualitative indices (SAR,RSC,Na%,MH,and PI), as well geospatial representations were used determine groundwater’s suitability study area. In addition, efficient forecasting IWQI utilizing Extreme Gradient Boosting (XGBoost), Support vector regression (SVR), K-Nearest Neighbours (KNN) models implemented. research, 166 samples calculate index. results showed that 42.18% them excellent quality, 34.34% very good 6.63% 9.64% satisfactory, 4.21% considered unsuitable irrigation. On other hand, indicate XGBoost excels accuracy stability, low RMSE (of 2.8272 high R 0.9834. SVR only four inputs (Ca2+, Mg2+, Na+, K) demonstrates notable predictive capability 2.6925 0.98738, while KNN showcases robust performance. distinctions between these have important implications making informed decisions agricultural management resource allocation within region.
Язык: Английский
Процитировано
34
Heliyon, Год журнала: 2024, Номер 10(7), С. e28186 - e28186
Опубликована: Март 22, 2024
Due to the increases in agriculture and industry sector as well high population, lack of water is becoming a major problem Middle East especially arid regions. Saudi Arabia needs more groundwater research explorations because its higher use no source freshwater. Assessing zonation semi-arid locations essential due significant degree variation depth, aquifer features, topographical characteristics, insufficient precipitation. Mapping prospective zones Al Qunfudhah region southwestern has utilized capability multi-criteria decision approaches (MCDA), Geographic information system (GIS). We have used analytical hierarchy process (AHP) one MCDA that applied achieve objective current study by integrating twelve controlling factors. These factors are represented thematic layers; slope, precipitation, soil type, land use/cover (LULC), drainage density (DD), normalized difference vegetation index (NDVI), curvature, topographic position (TPI), Terrain Ruggedness Index (TRI), Lineament Density (LD). layers combined with GIS delineate potentialities. All were classified weighted according their importance effect on zones. Their weights evaluated using pairwise comparison matrix. The present shows potential (GWPZs) map five groups ranging between very zone an area 23781.06 Km2 represents 4.04 % studied area, poor GWPZ 182944.4 31.09 area. AHP model suggests lineament density, important for determining potentiality than other physiographic study's findings will be helpful developing practical strategies region's supply. This analysis how methodology may broad coastal basin. give makers select suitable sites potential.
Язык: Английский
Процитировано
11
Modeling Earth Systems and Environment, Год журнала: 2022, Номер 9(1), С. 285 - 311
Опубликована: Авг. 26, 2022
Язык: Английский
Процитировано
32
Sustainability, Год журнала: 2023, Номер 15(13), С. 10075 - 10075
Опубликована: Июнь 26, 2023
The excessive depletion of groundwater resources and significant climate change have exerted immense pressure on global reserves. Owing to the rising demand for drinking water, as well its use in agriculture industry, there is an increasing need evaluate capacity effectiveness underground water reservoirs (aquifers). Recently, GIS has gained attention exploration because ability provide rapid comprehensive information about further development. This study aims assess map potential a large basin located southern region Saudi Arabia. Techniques such AHP were employed this study. To perform delineation zones (GWPZ), seven thematic layers prepared analyzed. These include geology, slope, land use, lineament densities, soil characteristics, drainage density, rainfall. variables carefully considered examined identify categorize areas based their respective potentials. assigned weights each class maps determined using well-known analytic hierarchy process (AHP) method. methodology characteristics influence potential. results’ precision was verified by cross-referencing it with existing area’s groundwater. resulting GWPZ classified into following five categories: very low, moderate, high, high. revealed that approximately 42.56% having high GWPZ. low moderate cover 36.12% 19.55% area, respectively. Very found only limited number within basin. holds importance addresses pressing challenge depleting resources. With demands agriculture, industry worldwide, effective evaluation management are crucial. By utilizing techniques, provides valuable assessment mapping Its findings can serve model other regions, supporting sustainable resource globally.
Язык: Английский
Процитировано
17
Sustainability, Год журнала: 2023, Номер 15(14), С. 11133 - 11133
Опубликована: Июль 17, 2023
This study aimed to assess the water quality parameters in wastewater treatment plant (WWTP) of Ain Sefra, southwestern Algeria. Various methods were employed analyze performance and suitability WWTP for irrigation. The results revealed effective removal nitrates, with levels below limit set irrigation water. dissolved oxygen content showed efficient biological processes good degradation organic matter. Phosphate found be within FAO Algerian standards. However, elevated ammonia observed, exceeding typical ranges groundwater was evaluated by calculating indices. These indices categorized all samples as either excellent or based on their Sodium Adsorption Ratio (SAR) Kelly’s ratio. sodium percentage values raised concerns about potential negative effects soil. Some deemed unsuitable because high magnesium hazard salinity values. findings offer valuable insights into treated Sefra region. They can inform decision makers stakeholders involved agriculture management.
Язык: Английский
Процитировано
16
Applied System Innovation, Год журнала: 2023, Номер 6(4), С. 61 - 61
Опубликована: Июнь 25, 2023
Automated classification of satellite images is a challenging task that enables the use remote sensing data for environmental modeling Earth’s landscapes. In this document, we implement GRASS GIS-based framework discriminating land cover types to identify changes in endorheic basins ephemeral salt lakes Chott Melrhir and Merouane, Algeria; employ embedded algorithms image processing. This study presents dataset nine Landsat 8–9 OLI/TIRS obtained from USGS 9-year period, 2014 2022. The were analyzed detect water levels experience temporal fluctuations; these are dry most time fed with during rainy periods. unsupervised was performed using GIS through several modules: ‘i.cluster’ used generate classes; ‘i.maxlik’ maximal likelihood discriminant analysis, auxiliary modules, such as ‘i.group’, ‘r.support’, ‘r.import’, etc., used. document includes technical descriptions scripts processing detailed comments on functionalities modules. results include identified variations within Algerian part Sahara over period (2014–2022), series multispectral classified GIS. main strengths high speed, accuracy, effectiveness programming codes monitoring. presented GitHub repository, which contains serves reference interpretation monitoring arid semi-arid areas Africa.
Язык: Английский
Процитировано
15
Groundwater for Sustainable Development, Год журнала: 2024, Номер 26, С. 101261 - 101261
Опубликована: Июнь 28, 2024
Язык: Английский
Процитировано
6
Euro-Mediterranean Journal for Environmental Integration, Год журнала: 2024, Номер 9(2), С. 859 - 874
Опубликована: Апрель 16, 2024
Язык: Английский
Процитировано
4
Sustainability, Год журнала: 2024, Номер 16(10), С. 4235 - 4235
Опубликована: Май 17, 2024
The rapid urbanization of Abha and its surrounding cities in Saudi Arabia’s mountainous regions poses challenges for sustainable secure development. This study aimed to identify suitable sites eco-friendly safe building complexes amidst complex geophysical, geoecological, socio-economic factors, integrating natural hazards assessment risk management. Employing the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP), constructed a suitability model incorporating sixteen parameters. Additionally, Deep Neural Network (DNN) based on eXplainable Artificial Intelligence (XAI) conducted sensitivity analyses assess parameters’ influence optimal location decision making. results reveal slope as most crucial parameter (22.90%), followed by altitude land use/land cover (13.24%), emphasizing topography environmental considerations. Drainage density (11.36%) rainfall patterns (9.15%) are also significant flood defense water Only 12.21% area is deemed “highly suitable”, with “no-build zones” designated safety protection. DNN-based XAI demonstrates positive impact variables like NDVI municipal solid waste generation site selection, informing management ecological preservation strategies. integrated methodology provides actionable insights residential development Abha, aiding informed making balancing urban expansion conservation hazard reduction.
Язык: Английский
Процитировано
4
Frontiers in Environmental Science, Год журнала: 2025, Номер 13
Опубликована: Март 13, 2025
Demarcation of the groundwater recharge prospective zones can be foremost step in facilitating any terrain, as most nations have a major concern about unreasonable use and declining water table. To identify Haridwar district Uttarakhand state India, this study employs integration remote sensing data along with Geographical Information System (GIS) Analytical Hierarchy Process (AHP) technique by incorporating acquired from different sources. Soil texture, slope, drainage density, land use/land cover (LULC), lithology, geomorphology, lineament topographic wetness index (TWI), rainfall were analysed, weights assigned using AHP to assess their impact on recharge. The region has been divided into five possible weighted overlay analysis: very high (0.82%), (37.03%), moderate (40.22%), low (17.91%), (4.02%). verified potential map for validated 30 existing bore wells. efficacy method was confirmed an Area Under Curve (AUC) calculated 71.08% evidence obtained, Receiver Operating Characteristic (ROC) curve is plotted. findings facilitate sustainable management application artificial techniques Haridwar.
Язык: Английский
Процитировано
0