Integration of hydrogeological data, GIS and AHP techniques applied to delineate groundwater potential zones in sandstone, limestone and shales rocks of the Damoh district, (MP) central India

Environmental Research, Год журнала: 2023, Номер 228, С. 115832 - 115832

Опубликована: Апрель 11, 2023

Язык: Английский

---

A comparative assessment of flood susceptibility modelling of GIS-based TOPSIS, VIKOR, and EDAS techniques in the Sub-Himalayan foothills region of Eastern India

Environmental Science and Pollution Research, Год журнала: 2022, Номер 30(6), С. 16036 - 16067

Опубликована: Сен. 30, 2022

Язык: Английский

---

Occurrences, sources and health hazard estimation of potentially toxic elements in the groundwater of Garhwal Himalaya, India

Scientific Reports, Год журнала: 2023, Номер 13(1)

Опубликована: Авг. 11, 2023

High concentrations of potentially toxic elements (PTEs) in potable water can cause severe human health disorders. Present study examined the fitness groundwater for drinking purpose based on occurrence nine PTEs a heavy pilgrim and tourist influx region Garhwal Himalaya, India. The analyzed were observed order Zn > Mn As Al Cu Cr Se Pb Cd. Apart from As, other within corresponding guideline values. Spatial maps produced to visualize distribution area. Estimated pollution indices non-carcinogenic risk indicated that investigated is safe purpose, as hazard index was < 1 all samples. Assessment cancer Cr, Cd, also low risks associated with use, values acceptable range ≤ × 10-6 10-4. Multivariate statistical analyses used describe various possible geogenic anthropogenic sources resources although contamination levels found pose no serious risk. However, present recommends stop discharge untreated wastewater establish cost-effective well efficient treatment facility nearby work's findings are vital they may protect massive population contaminated consumption. Moreover, it help researchers, governing authorities supplying agencies take prompt appropriate decisions security.

Язык: Английский

---

Evaluation of groundwater potential using ANN-based mountain gazelle optimization: A framework to achieve SDGs in East El Oweinat, Egypt

Journal of Hydrology Regional Studies, Год журнала: 2024, Номер 52, С. 101703 - 101703

Опубликована: Фев. 12, 2024

A pilot case study in East El Oweinat (PCSEO), Egypt. An artificial neural network (ANN)-based mountain gazelle optimization (MGO) model was applied to map groundwater potential zones (GWPZs). For this purpose, ten layers affecting occurrence were prepared and normalized against the drawdown (DD) map. All data divided into 70:30 for training testing. After that, sensitivity analysis adopted verify relative importance (RI) of layers. The accuracy GWPZs checked using receiver operating characteristic (ROC) curve other statistical indicators. finally propose a sustainable strategy exploration by implementing integrated MODFLOW-USG MGO framework. Over 40% PCSEO revealed high very degrees situated mostly on southwestern side. Sensitivity that significantly affected table (GWT), well density (WD), land use (LU). results also indicated ANN-based performed with an area under (AUC) ∼ 90% compared conventional models. Additionally, MODFLOW-USG-based gave spatial distribution optimal discharge well-depth zones. This finding could match SDGs relevant ending poverty, affordable groundwater, life land.

Язык: Английский

---

Mapping Groundwater Potential Zones Using a Knowledge-Driven Approach and GIS Analysis

Water, Год журнала: 2021, Номер 13(5), С. 579 - 579

Опубликована: Фев. 24, 2021

Despite the Sahara being one of most arid regions on Earth, it has experienced rainfall conditions in past and could hold plentiful groundwater resources. Thus, is precious water resources this region, which suffers from shortage due to limited caused by climatic conditions. This article will assess knowledge-driven techniques employed develop a model integrate multicriteria derived geologic, geomorphic, structural, seismic, hydrologic, remotely sensed data. was tested defunct Kom Ombo area Egypt’s Nile river basin eastern Sahara, covers ~28,200 km2, reveal promising areas To optimize output map, we updated adding automated depression resulting fill-difference approach seismic activity layers combined with other evidential maps, including slope, topography, geology, drainage density, lineament soil characteristics, rainfall, morphometric after assigning weight for each using Geographic Information System (GIS)-based approach. The paleochannels characteristics were visualized Advanced Land Observing Satellite (ALOS)/Phased Array type L-band Synthetic Aperture Radar (PALSAR) Several hydromorphic sinks/depressions, sub-basin extracted Shuttle Topography Mission (SRTM) results revealed that assessed potential zones (GPZs) can be arranged into five distinctive groups, depending their probability groundwater, namely very low (6.56%), (22.62%), moderate (30.75%), high (29.71%), (10.34%). downstream Wadi Garara have recharge storage potential. Interferometry (InSAR) coherence change detection (CCD) Sentinel-1 data consistency between InSAR CCD (low change) received plausible amount surface those values close 0 (high change). Landsat validated runoff are potentiality. twenty-nine well locations overlaid GPZs, predicted model, indicated about 86.17% wells matched good zones.

Язык: Английский

---

Chromium contamination in groundwater and Sobol sensitivity model based human health risk evaluation from leather tanning industrial region of South India

Environmental Research, Год журнала: 2021, Номер 199, С. 111238 - 111238

Опубликована: Май 17, 2021

Язык: Английский

---

Assessment of the performance of GIS-based analytical hierarchical process (AHP) approach for flood modelling in Uttar Dinajpur district of West Bengal, India

Geomatics Natural Hazards and Risk, Год журнала: 2022, Номер 13(1), С. 2183 - 2226

Опубликована: Авг. 19, 2022

Floods have received global significance in contemporary times due to their destructive behavior, which may wreak tremendous ruin on infrastructure and civilization. The present research employed an integration of the Geographic information system (GIS) Analytical Hierarchy Process (AHP) method for identifying flood susceptibility zonation (FSZ), vulnerability (FVZ), risk (FRZ) humid subtropical Uttar Dinajpur district India. study combined a large number thematic layers (N = 12 FSZ N 9 FVZ) achieve reliable accuracy included multicollinearity analysis these variables overcome issues related highly correlated variables. According findings, 27.04, 15.62, 4.59% area were classified as medium, high, very high FRZ, respectively. ROC-AUC, MAE, MSE, RMSE model exhibited good prediction 0.73, 0.15, 0.16, 0.21, performance AHP has been evaluated using sensitivity analyses. It also recommends that persistent improvement this subject, such studies modifying criteria thresholds, changing relative criteria, desired matrix, will permit GIS MCDA be progressively adapted real hazard-management issues.

Язык: Английский

---

Risk Assessment of Resources Exposed to Rainfall Induced Landslide with the Development of GIS and RS Based Ensemble Metaheuristic Machine Learning Algorithms

Sustainability, Год журнала: 2021, Номер 13(2), С. 457 - 457

Опубликована: Янв. 6, 2021

Disastrous natural hazards, such as landslides, floods, and forest fires cause a serious threat to resources, assets human lives. Consequently, landslide risk assessment has become requisite for managing the resources in future. This study was designed develop four ensemble metaheuristic machine learning algorithms, grey wolf optimized based artificial neural network (GW-ANN), random (GW-RF), particle swarm optimization ANN (PSO-ANN), PSO RF modeling rainfall-induced susceptibility (LS) Aqabat Al-Sulbat, Asir region, Saudi Arabia, which observes frequently. To obtain very high precision robust prediction from algorithms were integrated new techniques. Subsequently, LS maps produced by training dataset validated using receiver operating characteristics (ROC) curve on testing dataset. Based area under (AUC) value of ROC curve, best method selected. We developed curve-based sensitivity analysis investigate influence parameters modeling. The Gumble extreme distribution employed estimate rainfall at 2, 5, 10, 20, 50, 100 year return periods. Then, hazard prepared different periods integrating model estimated theory danger pixels prepare final have been exposed landslide. results showed that 27–42 6–15 km2 predicted zones algorithms. ROC, GR-ANN (AUC-0.905) appeared areas gradually increased over progression time (26 2 period 40 zone, 6 20 zone). Similarly, pixel also (37 62 km2). Various scrubland, built up, sparse vegetation, identified zone due hazards. In addition, these would be extensively landslides advancement Therefore, outcome present will help planners scientists propose management plans protecting landslides.

Язык: Английский

---

Evaluation of groundwater quality for irrigation water supply using multi-criteria decision-making techniques and GIS in an agroeconomic tract of Lower Ganga basin, India

Journal of Environmental Management, Год журнала: 2022, Номер 309, С. 114691 - 114691

Опубликована: Фев. 12, 2022

Язык: Английский

---

Identification of the Groundwater Potential Recharge Zones Using MCDM Models: Full Consistency Method (FUCOM), Best Worst Method (BWM) and Analytic Hierarchy Process (AHP)

Water Resources Management, Год журнала: 2021, Номер 35(14), С. 4727 - 4745

Опубликована: Окт. 14, 2021

Язык: Английский

---