Understanding groundwater mineralization controls and the implications on its quality (Southwestern Ghana): insights from hydrochemistry, multivariate statistics, and multi-linear regression models

Acta Geophysica, Год журнала: 2024, Номер 72(5), С. 3563 - 3580

Опубликована: Янв. 17, 2024

Язык: Английский

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Investigating the nexus between energy, socio-economic factors and environmental pollution: A geo-spatial multi regression approach

Gondwana Research, Год журнала: 2024, Номер 130, С. 308 - 325

Опубликована: Март 1, 2024

Язык: Английский

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How does the climate change effect on hydropower potential, freshwater fisheries, and hydrological response of snow on water availability?

Applied Water Science, Год журнала: 2024, Номер 14(4)

Опубликована: Март 7, 2024

Abstract Globally there is already a lot of pressure on water resources because climate change, economic development, as well an increasing global populace. Many rivers originate in the mountains, where snowfall fluctuations and climate’s inherent unpredictability affect hydrological processes. Climate change sensitivity has been recognized recent years would hydropower, such humidity, cloudiness, precipitation, that are considered; warming emerges one most important contributors to change. The Yangtze River supports rich biodiversity provides ecosystem services for human survival development. In addition, changes, particularly short-term long-term precipitation temperature fluctuations, influence snow regime development river flow response at basin sub-basin scales. More precise this review focused understand hydropower potential, freshwater fisheries, dynamics snow-dominated basins.

Язык: Английский

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An enhanced drought forecasting in coastal arid regions using deep learning approach with evaporation index

Environmental Research, Год журнала: 2024, Номер 246, С. 118171 - 118171

Опубликована: Янв. 10, 2024

Язык: Английский

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Grid-connected desalination plant economic management powered by renewable resources utilizing Niching Chimp Optimization and hunger game search algorithms

Sustainable Computing Informatics and Systems, Год журнала: 2024, Номер 42, С. 100976 - 100976

Опубликована: Фев. 2, 2024

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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Times Series Forecasting of Monthly Rainfall using Seasonal Auto Regressive Integrated Moving Average with EXogenous Variables (SARIMAX) Model

Water Resources Management, Год журнала: 2024, Номер 38(6), С. 1825 - 1846

Опубликована: Март 8, 2024

Язык: Английский

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Spatial distribution of physicochemical parameters and drinking and irrigation water quality indices in the Jhelum River

Environmental Geochemistry and Health, Год журнала: 2024, Номер 46(8)

Опубликована: Июль 1, 2024

Язык: Английский

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Ionospheric–Thermospheric Responses to Geomagnetic Storms from Multi-Instrument Space Weather Data

Remote Sensing, Год журнала: 2023, Номер 15(10), С. 2687 - 2687

Опубликована: Май 22, 2023

We analyze vertical total electron content (vTEC) variations from the Global Navigation Satellite System (GNSS) at different latitudes in continents of world during geomagnetic storms June 2015, August 2018, and November 2021. The resulting ionospheric perturbations low mid-latitudes are investigated terms prompt penetration electric field (PPEF), equatorial electrojet (EEJ), magnetic H component INTERMAGNET stations near equator. East Southeast Asia, Russia, Oceania exhibited positive vTEC disturbances, while South American showed negative disturbances all storms. also analyzed Swarm satellites found similar results to retrieved data 2015 2018 Moreover, we observed that plasma tended increase rapidly local afternoon main phase has opposite behavior nighttime. ionization anomaly (EIA) crest expansion higher is driven by PPEF daytime recovery phases exhibits longitudinal along with EEJ enhancement

Язык: Английский

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Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area

Sustainability, Год журнала: 2023, Номер 15(21), С. 15223 - 15223

Опубликована: Окт. 24, 2023

In this study, hydrological modeling at the watershed level is used to assess impacts of climate and land use changes on catchment area Khanpur Dam, which an important water source for Rawalpindi Islamabad. The impact past anticipated precipitation in Dam was forecast by using a HEC-HMS model. After calibration, framework employed analyze effects cover regime. model information from three climatic gauge stations (Murree, Islamabad Zero Point, Dam) split into five sub-basins that encompass entire region, each with distinctive characteristics. evaluated checked 2016–2018 2019–2020, it produced excellent match actual flows. statistical downscaling CMhyd model, most effective performing GCM (MPI-ESM1-2-HR) among four GCMs chosen projections temperature within two shared socioeconomic pathways (SSP2 SSP5). predictions were incorporated calibrated evaluate potential change Dam. starting point era (1990–2015) projected period (2016–2100), encompassed basis present century, analyzed annually. results indicated spike SSPs, predicted boost inflows all year. Until end twenty-first SSP2 21 percent rise area, while SSP5 28% precipitation. Increased flows found be future. It could also effectively upcoming studies basin.

Язык: Английский

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