Hydrochemical properties of groundwater and land use and land cover changes impact on agricultural productivity: An empirical observation and integrated framework approaches

Journal of Geochemical Exploration, Год журнала: 2024, Номер 258, С. 107402 - 107402

Опубликована: Янв. 8, 2024

Язык: Английский

---

Analysing the Effectiveness of MCDM and Integrated Weighting Approaches in Groundwater Quality Index Development

Water Conservation Science and Engineering, Год журнала: 2024, Номер 9(2)

Опубликована: Июнь 22, 2024

Язык: Английский

---

Leveraging geospatial technology and AHP for groundwater potential zonation in parts of South and North-Central Nigeria

Sustainable Water Resources Management, Год журнала: 2024, Номер 10(4)

Опубликована: Июль 4, 2024

Язык: Английский

---

Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India

Environmental Sciences Europe, Год журнала: 2024, Номер 36(1)

Опубликована: Сен. 2, 2024

Groundwater is a primary source of drinking water for billions worldwide. It plays crucial role in irrigation, domestic, and industrial uses, significantly contributes to drought resilience various regions. However, excessive groundwater discharge has left many areas vulnerable potable shortages. Therefore, assessing potential zones (GWPZ) essential implementing sustainable management practices ensure the availability present future generations. This study aims delineate with high Bankura district West Bengal using four machine learning methods: Random Forest (RF), Adaptive Boosting (AdaBoost), Extreme Gradient (XGBoost), Voting Ensemble (VE). The models used 161 data points, comprising 70% training dataset, identify significant correlations between presence absence region. Among methods, (RF) (XGBoost) proved be most effective mapping potential, suggesting their applicability other regions similar hydrogeological conditions. performance metrics RF are very good precision 0.919, recall 0.971, F1-score 0.944, accuracy 0.943. indicates strong capability accurately predict minimal false positives negatives. (AdaBoost) demonstrated comparable across all (precision: recall: F1-score: accuracy: 0.943), highlighting its effectiveness predicting accurately; whereas, outperformed slightly, higher values metrics: (0.944), (0.971), (0.958), (0.957), more refined model performance. (VE) approach also showed enhanced performance, mirroring XGBoost's 0.958, 0.957). that combining strengths individual leads better predictions. potentiality zoning varied significantly, low accounting 41.81% at 24.35%. uncertainty predictions ranged from 0.0 0.75 area, reflecting variability need targeted strategies. In summary, this highlights critical managing resources effectively advanced techniques. findings provide foundation practices, ensuring use conservation beyond.

Язык: Английский

---

Mapping Prospective Areas of Water Resources and Monitoring Land Use/Land Cover Changes in an Arid Region Using Remote Sensing and GIS Techniques

Water, Год журнала: 2022, Номер 14(15), С. 2435 - 2435

Опубликована: Авг. 6, 2022

Groundwater is a vital water resource for economic, agricultural, and domestic purposes in arid regions. To reduce scarcity regions, recently, remote sensing GIS techniques have been successfully applied to predict areas with prospective resources. Thus, this study attempted spatially reveal groundwater potential zones (GWPZs) conduct change detection on the desert fringes of Wadi Asyuti, defunct tributary Egypt’s Nile basin eastern Sahara. Eleven influential factors generated from imagery, geological, hydrological, climatic conditions were combined after giving weight each factor through GIS-based Analytical Hierarchy Process (AHP) coupled weighted overlay technique (WOT). The results revealed six distinctive scores ranging very low (10.59%) excellent (3.03%). Thirty-three productive wells, Interferometry Synthetic Aperture Radar (InSAR) coherence (CCD), land use map derived Sentinel-2, delineated flooding zone Landsat-8 data used validate zones. GWPZs indicated that 48% collected wells can be classified as consistent excellent. Normalized Difference Vegetation Index (NDVI) image classification multi-temporal Landsat series Sentinel-2 along InSAR CCD Sentinel-1 images dramatic changes use/land cover (LU/LC) terms agricultural other anthropogenic activities structurally downstream area, which most promising area future developments. Overall, integration radar multispectral has ability provide valuable information about resources tested model technique, such extremely significant guidance planners decision makers sustainable development.

Язык: Английский

---

Unlocking the hidden potential: groundwater zone mapping using AHP, remote sensing and GIS techniques

Geomatics Natural Hazards and Risk, Год журнала: 2023, Номер 14(1)

Опубликована: Окт. 19, 2023

Groundwater resource problems are increasing development and planning challenges due to climate change overexploitation, necessitating assessments of their potential productivity. The study area has been facing a groundwater level decline problem for many years, these results can help increase the in basaltic rock area. In this research, we have worked on demarcation suitability zones using GIS Analytical Hierarchical Process (AHP) methods Urmodi River Basin. This research prepared eight thematic maps, that is, geomorphology, geology, drainage density, land use/land cover, elevation, lineament density slope from satellite data methods, which play primary factor determining proper zones. study, every map was allocated weights depending its specific characteristics contribution capacity. were determined AHP method, considers comparative significance layer about others. weighting procedure allowed comprehensive assessment factors influencing basin. resulting divided into four classes, good, excellent, moderate, poor. revealed approximately 22.69% basin had excellent potential, 28.96% good 25.32% moderate 22.92% poor potential. These findings suggest significant portion Basin exhibits indicating promising opportunities sustainable utilization region. zone accuracy is 84% based Receiver Operating Characteristic (ROC) method. implications resources provide framework conducting similar other regions. be more important goals helpful levels

Язык: Английский

---

Delineation of groundwater potential zones and identification of artificial recharge sites in the Kinnerasani Watershed, India, using remote sensing-GIS, AHP, and Fuzzy-AHP techniques

AQUA - Water Infrastructure Ecosystems and Society, Год журнала: 2023, Номер 72(8), С. 1474 - 1498

Опубликована: Июль 5, 2023

Abstract The sustainable management of groundwater resources is crucial for ecological diversity, human health, and economic growth. This study employs scientific concepts advanced techniques, including the analytic hierarchy process (AHP) Fuzzy-AHP, to identify potential zones (GWPZs). Thematic maps representing drainage density, elevation, soil, geomorphology, slope, land use cover, rainfall are used delineate GWPZs. Both techniques employed assign weights these thematic based on their characteristics water potential. revealed that in investigated area, 17.76 18.27% final GWPZs (AHP Fuzzy-AHP) can be classified as having poor potential, while 72.79 71.07% categorized moderate Moreover, 9.45 10.69% identified high using AHP Fuzzy-AHP models, respectively. Receiver operating (ROCs) analysis validate findings, demonstrating technique achieves an accuracy 74% identifying region. utilizes best method derived from both models 26 suitable locations artificial recharge sites. reliable findings this research offer valuable insights into decision-makers users Kinnerasani Watershed.

Язык: Английский

---

Applications of statistical and AHP models in groundwater potential mapping in the Mensa river catchment, Omo river valley, Ethiopia

Modeling Earth Systems and Environment, Год журнала: 2023, Номер 9(4), С. 4057 - 4075

Опубликована: Март 31, 2023

Язык: Английский

---

Groundwater vulnerability to pollution assessment: an application of geospatial techniques and integrated IRN-DEMATEL-ANP decision model

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(17), С. 49856 - 49874

Опубликована: Фев. 14, 2023

Abstract This study evaluated the susceptibility to groundwater pollution using a modified DRASTIC model. A novel hybrid multi-criteria decision-making (MCDM) model integrating Interval Rough Numbers (IRN), Decision Making Trial and Evaluation Laboratory (DEMATEL), Analytical Network Process (ANP) was used investigate interrelationships between critical hydrogeologic factors (and determine their relative weights) via vulnerability index based on The flexibility of GIS in handling spatial data employed delineate thematic map layers improve MCDM results show that net recharge (a key factor) had highest priority with weight 0.1986. In contrast, topography factor least priority, 0.0497. case validated Anambra State, Nigeria. resultant shows 12.98% area falls into very high class, 31.90% vulnerability, 23.52% average 21.75% low 9.85% classes, respectively. addition, nitrate concentration evaluate degree pollution. Based observed concentration, compared traditional model; interestingly, performed better. is thus for environmental monitoring implementing appropriate management interventions protect resources against indiscriminate sources

Язык: Английский

---

Groundwater Sustainability mapping for Managed Aquifer Recharge in Dwarkeswar river basin: Integration of Watershed Modeling, Multi-Criteria Decision Analysis, and Constraint Mapping

Groundwater for Sustainable Development, Год журнала: 2024, Номер 26, С. 101279 - 101279

Опубликована: Июль 11, 2024

Язык: Английский

---