GIS and fuzzy analytical hierarchy process to delineate groundwater potential zones in southern parts of India

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 25, P. 101110 - 101110

Published: Feb. 13, 2024

Language: Английский

---

Delineation of groundwater potential zones in Karha river basin, Maharashtra, India, using AHP and geospatial techniques

Arabian Journal of Geosciences, Journal Year: 2020, Volume and Issue: 13(15)

Published: July 18, 2020

Language: Английский

---

Delineating groundwater potential zones of agriculture dominated landscapes using GIS based AHP techniques: a case study from Uttar Dinajpur district, West Bengal

Environmental Earth Sciences, Journal Year: 2020, Volume and Issue: 79(12)

Published: June 1, 2020

Language: Английский

---

Assessment of groundwater potential zones using GIS and AHP techniques: a case study of the Lafia district, Nasarawa State, Nigeria

Applied Water Science, Journal Year: 2021, Volume and Issue: 12(1)

Published: Dec. 21, 2021

Abstract In the Lafia district, rising population has increased need for groundwater resources economic growth. Sustainable resource management demands accurate quantitative assessment, which may be accomplished using scientific theories and innovative methods. present study, an integrated method been employed to assess potential zones in district utilizing remote sensing (RS), geographic information system (GIS), analytic hierarchy (AHP). For this aim, eight thematic maps regulating occurrence transportation of (i.e., geology, rainfall, geomorphology, slope, drainage density, soil, land use/land cover lineament density) were generated converted into raster format ArcGIS tool. Weights assigned these based on their importance. Moreover, final normalized weights parameters calculated adopting pairwise comparison matrix AHP. To create (GWPZs) map research area, we overlay weighted sum approach combine parameters. The divided four (good, moderate, poor very poor), each represents 19.3, 12.9, 57.8, 10% study area. Lastly, GWPZs was validated borehole data obtained from 50 wells scattered throughout area examine performance approach. validation results demonstrate that adopted procedure produces highly reliable can aid long-term development strategic use

Language: Английский

---

Impact of hydro-geological environment on availability of groundwater using analytical hierarchy process (AHP) and geospatial techniques: A study from the upper Kangsabati river basin

Groundwater for Sustainable Development, Journal Year: 2020, Volume and Issue: 11, P. 100419 - 100419

Published: June 2, 2020

Language: Английский

---

Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment

Remote Sensing, Journal Year: 2020, Volume and Issue: 12(21), P. 3620 - 3620

Published: Nov. 4, 2020

The Rarh Bengal region in West Bengal, particularly the eastern fringe area of Chotanagpur plateau, is highly prone to water-induced gully erosion. In this study, we analyzed spatial patterns a potential erosion Gandheswari watershed. This affected by monsoon rainfall and ongoing land-use changes. combination causes intensive land degradation. Therefore, developed susceptibility maps (GESMs) using machine learning (ML) algorithms boosted regression tree (BRT), Bayesian additive (BART), support vector (SVR), ensemble SVR-Bee algorithm. inventory are based on total 178 head-cutting points, taken as dependent factor, conditioning factors, which serve independent factors. We validated ML model results under curve (AUC), accuracy (ACC), true skill statistic (TSS), Kappa coefficient index. AUC result BRT, BART, SVR, models 0.895, 0.902, 0.927, 0.960, respectively, show very good GESM accuracies. provides more accurate prediction than any single used study.

Language: Английский

---

Groundwater potential mapping using multi-criteria decision, bivariate statistic and machine learning algorithms: evidence from Chota Nagpur Plateau, India

Applied Water Science, Journal Year: 2022, Volume and Issue: 12(4)

Published: March 9, 2022

Abstract Increased consumption of water resource due to rapid growth population has certainly reduced the groundwater storage beneath earth which leads certain challenges human being in recent time. For optimal management this vital resource, exploration potential zone (GWPZ) become essential. We have applied Analytical Hierarchy Process (AHP), Frequency Ratio (FR) and two machine learning techniques specifically Random Forest (RF) Naïve Bayes (NB) here delineate GWPZ Gandheswari River Basin Chota Nagpur Plateau, India. To achieve goal study, twelve factors that determine occurrence been selected for inter-thematic correlations overlaid with location wells. These include elevation, drainage density, slope, lithology, geomorphology, topographical wetness index (TWI), distance from river, rainfall, lineament Normalized Difference Vegetation Index (NDVI), soil, Land use cover (LULC). A total 170 points including 85 well site non-well randomly allocated into parts: training testing at share 70:30. The implemented methods significantly provided five GWPZs Very Good (VG), (G), Moderate (M), Poor (P) (VP) high acceptable accuracy. study also finds rainfall elevation greater importance shaping than LULC, NDVI, etc. Model performance tested receiver operator characteristics (ROC), Accuracy (ACC), Kappa Coefficient, MAE, RMSE, etc., methods. Area under curve (AUC) ROC revealed accuracy level AHP, FR, RF NB is 78.8%, 81%, 85.3% 85.5, respectively. coupled AHP FR unveil effective delineation area said river basin by genetically offers low primary porosity lithological constrains. Therefore, can be helpful watershed identifying appropriate wells future.

Language: Английский

---

Machine learning and GIS-RS-based algorithms for mapping the groundwater potentiality in the Bundelkhand region, India

Ecological Informatics, Journal Year: 2023, Volume and Issue: 74, P. 101980 - 101980

Published: Jan. 5, 2023

Language: Английский

---

Delineation of suitable sites for groundwater recharge based on groundwater potential with RS, GIS, and AHP approach for Mand catchment of Mahanadi Basin

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: June 18, 2023

Abstract Groundwater management requires a systematic approach since it is crucial to the long-term viability of livelihoods and regional economies all over world. There insufficient groundwater difficulties in storage plans as result increased population, fast urbanisation, climate change, well unpredictability rainfall frequency intensity. exploration using remote sensing (RS) data geographic information system (GIS) has become breakthrough research, assisting assessment, monitoring, conservation resources. The study region Mand catchment Mahanadi basin, covering 5332.07 km 2 located between 21°42′15.525″N 23°4′19.746″N latitude 82°50′54.503″E 83°36′1.295″E longitude Chhattisgarh, India. research comprises generation thematic maps, delineation potential zones recommendation structures for efficiently successfully recharging utilising RS GIS. Potential Zones (GPZs) were identified with nine layers RS, GIS, Multi-Criteria Decision Analysis (MCDA) method. Satty's Analytic Hierarchy Process (AHP) was used rank parameters that chosen. generated GPZs map indicated regions very low, low medium, medium high, high encompassing 962.44 , 2019.92 969.19 1380.42 region, respectively. found be accurate when compared fluctuation map, manage resources catchment. runoff area can accommodated by computing subsurface capacity, which will raise levels GPZs. According results, various recharge such farm ponds, check dams percolation tanks suggested appropriate locations boost conditions meet shortage water agriculture domestic use. This demonstrates integration GIS provide an efficient effective platform convergent analysis sets planning.

Language: Английский

---

Assessment of Groundwater Potential Zones Utilizing Geographic Information System-Based Analytical Hierarchy Process, Vlse Kriterijumska Optimizacija Kompromisno Resenje, and Technique for Order Preference by Similarity to Ideal Solution Methods: A Case Study in Mersin, Türkiye

Sustainability, Journal Year: 2024, Volume and Issue: 16(5), P. 2202 - 2202

Published: March 6, 2024

The indiscriminate use of surface water has heightened the demand for groundwater supplies. Therefore, it is critical to locate potential sources develop alternative resources. Groundwater detection tremendously valuable, as sustainable management. Mersin, in southern Türkiye, expected confront drought shortly due increased population, industry, and global climate change. zones Mersin were determined this study by GIS-based AHP, VIKOR, TOPSIS methods. Fifteen parameters used goal. area was separated into five categories. results show that can be divided “Very High” (4.98%, 5.94%, 7.96%), followed “High” (10.89%, 10.32%, 16.50%), “Moderate” (60.68%, 52.41%, 51.56%), “Low” (21.28%, 28.53%, 20.90%), Low” (2.18%, 2.80%, 3.07%) turn. Data from 60 wells validate ROC-AUC technique utilized this. It seen performance VIKOR model better than AHP (76.5%). findings demonstrated methods are reliable We believe will also help decision makers purpose.

Language: Английский

---