Various Natural and Anthropogenic Factors Responsible for Water Quality Degradation: A Review

Water, Journal Year: 2021, Volume and Issue: 13(19), P. 2660 - 2660

Published: Sept. 27, 2021

Recognition of sustainability issues around water resource consumption is gaining traction under global warming and land utilization complexities. These concerns increase the challenge an appropriate comprehension anthropogenic activities natural processes, as well how they influence quality surface groundwater systems. The characteristics resources cause difficulties in comprehensive assessment regarding source types, pathways, pollutants behaviors. As behavior prediction widely known contaminants remain challenging, some new have developed heavy metal pollutants. main aim this review to focus on certain essential pollutants’ discharge from categorized based land-use sectors such industrial applications (solid/liquid wastes, chemical compounds, mining activities, spills, leaks), urban development (municipal use practices, others), agricultural practices (pesticides fertilizers). Further, important released processes classified climate change, disasters, geological factors, soil/matrix, hyporheic exchange aquatic environment, are also discussed. Moreover, study addresses major inorganic substances (nitrogen, fluoride, metals concentrations). This emphasizes necessity transdisciplinary research cross-border communication achieve sustainable using sound science, adaptable legislation, management

Language: Английский

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Developing a pan-European high-resolution groundwater recharge map – Combining satellite data and national survey data using machine learning

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 822, P. 153464 - 153464

Published: Jan. 29, 2022

Groundwater recharge quantification is essential for sustainable groundwater resources management, but typically limited to local and regional scale estimates. A high-resolution (1 km × 1 km) dataset consisting of long-term average actual evapotranspiration, effective precipitation, a coefficient, the resulting map has been created all Europe using variety pan-European seven national gridded datasets. As an initial step, approach developed continental mapping consists merged estimate evapotranspiration originating from satellite data vegetation controlled Budyko subsequently precipitation. Secondly, machine learning model based on Random Forest regressor was coefficients, range covariates related geology, soil, topography climate. common feature validation training against coefficients datasets covering UK, Ireland, Finland, Denmark, Netherlands, France Spain, representing wide climatic hydrogeological conditions across Europe. The provides harmonised estimates locally relevant areas where this information otherwise not available, while being consistent with existing Pan-European pattern compares well results global hydrological PCR-GLOBWB 2. At country scale, were compared German showing great similarity. full available through EuroGeoSurveys' open access European Geological Data Infrastructure (EGDI).

Language: Английский

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Advancing measurements and representations of subsurface heterogeneity and dynamic processes: towards 4D hydrogeology

Hydrology and earth system sciences, Journal Year: 2023, Volume and Issue: 27(1), P. 255 - 287

Published: Jan. 12, 2023

Abstract. Essentially all hydrogeological processes are strongly influenced by the subsurface spatial heterogeneity and temporal variation of environmental conditions, hydraulic properties, solute concentrations. This variability generally leads to effective behaviors emerging phenomena that cannot be predicted from conventional approaches based on homogeneous assumptions models. However, it is not always clear when, why, how, at what scale 4D (3D + time) nature needs considered in monitoring, modeling, applications. In this paper, we discuss interest potential for monitoring characterization variability, including imaging, a series processes: (1) groundwater fluxes, (2) transport reaction, (3) vadose zone dynamics, (4) surface–subsurface water interactions. We first identify main challenges related coupling fluctuations these processes. then highlight recent innovations have led significant breakthroughs high-resolution space–time imaging modeling characterization, fluctuations. finally propose classification applications different scales according their need imaging. thus advocate more systematic dynamic 3D critical calls validation techniques highly instrumented observatories harmonization open databases share data sets components.

Language: Английский

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Urban ecosystem services and climate change: a dynamic interplay

Frontiers in Sustainable Cities, Journal Year: 2023, Volume and Issue: 5

Published: Oct. 30, 2023

Urban ecosystems play a crucial role in providing wide range of services to their inhabitants, and functioning is deeply intertwined with the effects climate change. The present review explores dynamic interplay between urban ecosystem change, highlighting reciprocal relationships, impacts, adaptation strategies associated these phenomena. environment, its built infrastructure, green spaces, diverse human activities, offers various that enhance wellbeing resilience dwellers. offer regulatory like temperature control, air quality upkeep, stormwater management, plus provisioning food water. They also provide cultural benefits, promoting recreation community unity. However, change poses significant challenges services. Rising temperatures, altered precipitation patterns, increased frequency extreme weather events can disrupt ecosystems, impacting provision Heatwaves heat island compromise health energy demands, while changes rainfall patterns strain management systems lead flooding. Moreover, biodiversity ecological processes, affecting overall sustainability ecosystems. To address challenges, cities are adopting recognize interdependence Green infrastructure interventions, such as creation parks, roofs, gardens, aim mitigate impacts by enhancing regulation temperature, improving quality, reducing runoff. Additionally, planning design approaches prioritize compact walkable neighborhoods, public transportation reliance on fossil fuels. Furthermore, engaging communities measures for ensuring equitable distribution building social resilience. Therefore, article highlights comprehensive understanding interrelationship implications. By recognizing integrating contributions develop sustainable resilient adapt habitability environments future generations.

Language: Английский

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Hydrogeological assessment of a major spring discharging from a calcarenitic aquifer with implications on resilience to climate change

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 913, P. 169770 - 169770

Published: Jan. 3, 2024

Language: Английский

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A Multi-Model approach for remote Sensing-Based actual evapotranspiration mapping using Google Earth Engine (ETMapper-GEE)

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133062 - 133062

Published: March 1, 2025

Language: Английский

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Identifying and Quantifying the Impact of Climatic and Non‐Climatic Drivers on River Discharge in Europe

Water Resources Research, Journal Year: 2025, Volume and Issue: 61(4)

Published: April 1, 2025

Abstract Our water resources have changed over the last century through a combination of management evolution and climate change. Understanding decomposing drivers discharge changes is essential to preparing planning adaptive strategies. To separate response catchment dynamics between change‐related other factors in observations, we propose methodology compare observations from physically based model. The novelty lies fact that, keep comparison pertinent despite systematic biases model outputs, both systems using common framework interpretation, parsimonious model, which allows us isolate trends due average annual variables. modeled system stands as reference reproduce only evolving dynamics. Comparing it interpretation applied observation highlights effect non‐modeled on discharge, such human intervention rivers uptakes. We show that Europe, especially South, dominant explanations for are non‐climatic factors. Still, some catchments Northern change seems be dominating driver hypothesize irrigation development, groundwater pumping usage. These results importance including models understand main better accurately project future changes.

Language: Английский

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Climate and land use shape the water balance and water quality in selected European lakes

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 5, 2024

Abstract This study provides insights into factors that influence the water balance of selected European lakes, mainly in Central Europe, and their implications for quality. An analysis isotopic, chemical land use data using statistical artificial intelligence models showed climate, particularly air temperature precipitation, played a key role intensifying evaporation losses from lakes. Water was also affected by catchment factors, notably groundwater table depth. The shows lakes at lower altitudes with shallow depths catchments dominated urban or crop cover were more sensitive to changes. These had higher evaporation-to-inflow ratios increased concentrations total nitrogen water. On other hand, elevations deeper prevailing forest less which are often glacial origin, characterized thus better quality terms concentrations. Understanding connections between is crucial effective lake management preservation freshwater ecosystems.

Language: Английский

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Near constant groundwater recharge efficiency under global change in a central European catchment

Hydrological Processes, Journal Year: 2023, Volume and Issue: 37(2)

Published: Jan. 5, 2023

Abstract The fraction of precipitation that infiltrates soils and subsequently becomes recharge is one the principle components an unconfined aquifer's water budget (this here termed efficiency). Here we tested how efficiency will respond to climate change including a possible plant physiological response (e.g., stomatal closure; increasing leaf area) in catchment used for drinking production western Germany. To this end soil model (HYDRUS‐1D) forced with data spanning time period from 1971 2099. Three different vegetation types were considered: turf grass representing primary infiltration sites within residential areas; maize main crop on agriculturally land; beech forested parts catchment. We found that, positive effects (more rain during season winter, less demand due faster ripening spring summer, increased use efficiency, reduced global radiation as cloud density increases) not completely compensated by negative (less precipitation, higher area index vapour pressure deficit summer season) at our study site. Because total annual slightly until 21th century, changes amount also positive, though moderate (up +20% 2071–2099 compared 1970–2000). results be helpful authorities managing rights under perspective changing climate. In future, site expected receive sufficient maintain current rates groundwater withdrawal public supply irrigation. Thus, region's agriculture sector may become ‘global warming winner,’ when cropping other regions Europe increasingly suffer drying conditions growing season.

Language: Английский

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Disentangling coastal groundwater level dynamics in a global dataset

Hydrology and earth system sciences, Journal Year: 2024, Volume and Issue: 28(5), P. 1215 - 1249

Published: March 14, 2024

Abstract. Groundwater level (GWL) dynamics result from a complex interplay between groundwater systems and the Earth system. This study aims to identify common hydrogeological patterns gain deeper understanding of underlying similarities their link physiographic, climatic, anthropogenic controls in coastal regions. The most striking aspects GWL were identified through combination statistical metrics, calculated about 8000 hydrographs, pattern recognition using clustering algorithms, classification random forest, SHapley Additive exPlanations (SHAPs). Hydrogeological similarity was defined by four clusters representing distinct dynamics. These can be observed globally across different continents climate zones but simultaneously vary regionally locally, suggesting complicated controlling factors. main differentiating identified, we also provide evidence for currently limited ability explain on large spatial scales, which attribute mainly uncertainties explanatory data. Finally, this provides guidance systematic holistic monitoring modeling motivates consideration dynamics, example, when predicting climate-induced changes, use explainable machine learning techniques deal with complexity – especially information potential is or needs verified.

Language: Английский

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