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

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Assessment of groundwater suitability for sustainable irrigation: A comprehensive study using indexical, statistical, and machine learning approaches

Groundwater for Sustainable Development, Год журнала: 2023, Номер 24, С. 101059 - 101059

Опубликована: Дек. 13, 2023

Язык: Английский

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Combination of data-driven models and best subset regression for predicting the standardized precipitation index (SPI) at the Upper Godavari Basin in India

Theoretical and Applied Climatology, Год журнала: 2023, Номер 152(1-2), С. 535 - 558

Опубликована: Март 23, 2023

Язык: Английский

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Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios

Water, Год журнала: 2023, Номер 15(19), С. 3421 - 3421

Опубликована: Сен. 28, 2023

Assessing the impacts of climate change and land use/land cover changes on water resources within a catchment is essential because it helps us understand how these dynamic factors affect quantity, quality, availability freshwater. This knowledge crucial for making informed decisions about management, conservation, adaptation strategies, especially in regions facing increasing environmental uncertainties challenges to resource sustainability. In Pakistan’s Kunhar River Basin (KRB), this investigation explores potential effects shifting (LULC), stream flows. The SWAT (Soil Water Assessment Tool), semi-distributed hydrological model, most recent Coupled Model Intercomparison Project phase 6 (CMIP6) dataset from multiple global models (GCMs) were used evaluate effects. temperature precipitation data downscaled using CMhyd software; both shared socioeconomic pathways (SSP2 SSP5), top-performing GCM out four was required produce predictions while taking future use characteristics into account. output chosen indicated that by conclusion 21st century, relative reference period (1985–2014), study area’s average monthly precipitation, highest temperature, lowest will be increasing. Precipitation anticipated increase between 2015 2100 20.5% 29.1% according SSP2 SSP5 scenarios, respectively. study’s findings, which emphasize need project planners managers account their management techniques, show can have significant impact changing seasons flows basin.

Язык: Английский

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Prioritizing sub-watersheds for soil erosion using geospatial techniques based on morphometric and hypsometric analysis: a case study of the Indian Wyra River basin

Applied Water Science, Год журнала: 2023, Номер 13(7)

Опубликована: Июнь 26, 2023

Abstract The hydrological availability and scarcity of water can be affected by geomorphological processes occurring within a watershed. Hence, it is crucial to perform quantitative evaluation the watershed’s geometry determine impact such on its hydrology. Geographic information systems (GIS) remote sensing (RS) techniques have become increasingly significant because they enable decision-makers strategists make accurate efficient decisions. To prioritize sub-watersheds Wyra watershed, this research employs two methods: morphometric analysis hypsometric analysis. watershed was divided into eleven (SWs). prioritization in involved assessing several parameters, as relief, linear, areal features, for each sub-watershed. Furthermore, importance determined computing integral (HI) values using elevation–relief ratio method. final based through integration principal component (PCA) weighted sum approach (WSA). SW2 SW9 had higher priorities analysis, whereas SW6, SW7, SW10 obtained SW4 most common SW that shares same priority. vulnerable are those with highest priority, therefore, programmes soil conservation should pay more attention them. conclusions study may prove useful various stakeholders initiatives related development management.

Язык: Английский

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Assessment of Groundwater Potential Zones by Integrating Hydrogeological Data, Geographic Information Systems, Remote Sensing, and Analytical Hierarchical Process Techniques in the Jinan Karst Spring Basin of China

Water, Год журнала: 2024, Номер 16(4), С. 566 - 566

Опубликована: Фев. 14, 2024

Groundwater management in the Jinan Spring basin is hampered by its complex topography, overexploitation, and excessive urbanisation. This has led to springs drying up during dry seasons a decrease discharge recent years. GIS AHP were employed delineate groundwater potential zones using eight thematic layers: slope, geology, lineament density, topographic wetness index (TWI), rainfall, soil, drainage land use/land cover (LULC). The model’s accuracy was assessed comparing findings observation well data. We found that 74% of observations matched projected zoning. Further validation utilising receiver operating characteristic (ROC) curve gave an AUC 0.736. According study, 67.31% good GWPZ, 5.60% very one, 27.07% medium, 0.03% low. Heavy rains throughout rainy season raise water levels. Dry weather lowers study’s conclusions will protect from climate change. Integrating hydrogeological data, GIS, remote sensing, approaches maximises data use, improves zone delineation, promotes sustainable resource decision making. integrated method can help use planners, hydrologists, policymakers find optimal locations for supply projects, establish techniques, reduce risks.

Язык: Английский

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Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques

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

Опубликована: Апрель 29, 2024

Abstract Groundwater resources are essential for drinking water, irrigation, and the economy mainly in semiarid environments where rainfall is limited. Currently, unpredictable due to climate change pollution on Earth’s surface directly affects groundwater resources. In this area, most people depend irrigation purposes, every summer, of area depends a environment. Hence, we selected two popular methods, analytical hierarchy process (AHP) multiple influence factor (MIF) which can be applied map potential zones. Nine thematic layers, such as land use cover (LULC), geomorphology, soil, drainage density, slope, lineament elevation, level, geology maps, were study using remote sensing geographic information system (GIS) techniques. These layers integrated ArcGIS 10.5 software with help AHP MIF methods. The zones revealed four classes, i.e., poor, moderate, good, very based MF zone 241.50 (ha) Poor, 285.64 408.31 92.75 good method. Similarly, method that classes divided into classes: 351.29 511.18 (ha), 123.95 41.78 good. results compared determine methods best planning water resource development specific areas have basaltic rock drought conditions. Both maps validated yield data. receiver operating characteristic (ROC) curve under (AUC) model found 0.80 (good) 0.93 (excellent) respectively; hence, delineation planning. present study’s framework will valuable improving efficiency conserving rainwater maintaining ecosystem India.

Язык: Английский

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Empowered machine learning algorithm to identify sustainable groundwater potential zone map in Jashore District, Bangladesh

Groundwater for Sustainable Development, Год журнала: 2024, Номер 25, С. 101168 - 101168

Опубликована: Апрель 5, 2024

Язык: Английский

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Assessing groundwater artificial recharge suitability in the Mi River basin using GIS, RS, and FAHP: a comprehensive analysis with seasonal variations

Applied Water Science, Год журнала: 2025, Номер 15(2)

Опубликована: Янв. 29, 2025

Язык: Английский

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Groundwater quality characterization using an integrated water quality index and multivariate statistical techniques

PLoS ONE, Год журнала: 2024, Номер 19(2), С. e0294533 - e0294533

Опубликована: Фев. 23, 2024

This study attempts to characterize and interpret the groundwater quality (GWQ) using a GIS environment multivariate statistical approach (MSA) for Jakham River Basin (JRB) in Southern Rajasthan. In this paper, analysis of various indicators such as Water Quality Index (WQI) methods, i.e., principal component correspondence (PCA CA), were implemented on pre post-monsoon water datasets. All these methods help identify most critical factor controlling GWQ potable water. pre-monsoon (PRM) (POM) seasons, computed value WQI has ranged between 28.28 116.74 from 29.49 111.98, respectively. As per GIS-based findings, 63.42 percent samples during PRM season 42.02 POM classed ‘good’ could be consumed drinking. The Principal (PCA) is suitable tool simplification evaluation process analysis. PCA correlation matrix defines relation among parameters, which helps detect natural or anthropogenic influence sub-surface finding PCA’s shows impact geological human intervention, increased levels EC, TDS, Na+, Cl-, HCO3-, F-, SO42- study, hierarchical cluster (HCA) was used categories WQ parameters POR seasons Ward technique. research outcomes can baseline data development activities protect health water-borne diseases southern region

Язык: Английский

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