Elsevier eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 111 - 131
Published: Aug. 17, 2023
Language: Английский
Elsevier eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 111 - 131
Published: Aug. 17, 2023
Language: Английский
Limnetica, Journal Year: 2024, Volume and Issue: 43(2), P. 1 - 1
Published: Jan. 29, 2024
Mediterranean basins face significant water scarcity which demands examining long-term data to prospect their trends in availability and quality. This study focuses on The Onyar River (Inner Catalan basins, NE Spain), explore its historical streamflow changes, the influencing climatic land-use factors, consequential impacts We analyse key hydro-climatic variables—streamflow, precipitation, temperature, evapotranspiration (both PET AET)— across a 60-year span (1960 -2020) relationship with recent stream chemistry (2007-2020). compare these patterns changes land use, variations demand according urban livestock, crop production estimates. Our findings highlight consistent decline streamflow, most pronounced over last two decades, accompanied by an increase PET, probable decrease groundwater recharge. Notably, co-occurred higher concentrations of river ammonium nitrate. attribute use such as afforestation intensive fertilization, well increased withdrawal, particularly during irrigation seasons. Additional factors include growing discharges treated wastewater back into system. offers comprehensive overview declining quantity quality River, attributing interplay anthropogenic factors. underscore need for integrated resource management strategies mitigate implications changes.
Language: Английский
Citations
2The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 927, P. 172340 - 172340
Published: April 10, 2024
Tackling the impact of missing data in water management is crucial to ensure reliability scientific research that informs decision-making processes public health. The goal this study ascertain root causes associated with cyanobacteria proliferation under major scenarios. For purpose, a dynamic methodology proposed using Bayesian Machine Learning for accurate surface quality prediction river from Limia basin (Spain). used entails sequence analytical steps, starting pre-processing, followed by selection reliable value system, leading finally supervised analysis behavioral patterns exhibited cyanobacteria. that, total 2,118,844 points were used, 205,316 (9.69 %) values identified. machine learning testing showed iterative structural expectation maximization (SEM) as best performing algorithm, above imputation (DI) and entropy-based methods (EBDI), enhancing some cases accuracy imputations approximately 50 % R2, RMSE, NRMSE, logarithmic loss values. These findings can how on being processed studied, thus, opening door more strategies better inform health decisions.
Language: Английский
Citations
2The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177759 - 177759
Published: Nov. 28, 2024
Language: Английский
Citations
1Discover Water, Journal Year: 2024, Volume and Issue: 4(1)
Published: Oct. 14, 2024
Abstract Validating large-scale water quality models is challenging because of the variety constituents, and scales for which observations are limited. Here, in this perspective, we propose 13 alternative strategies to build trust beyond validation discuss their strengths weaknesses regarding validity, reliability, applicability. Our aim evaluate separately model inputs (Strategies 1–4), outputs 5–6) structures (Strategy 7) as well these aspects together 8–13). This done via methods such comparisons 1–3, 6–8, 12–13), sensitivity analysis 5), use innovations 9), expert knowledge 11) local 13). The proposed vary Validation an important starting point but should be used combination with other strategies. list opens discussion improve global models.
Language: Английский
Citations
1Water Air & Soil Pollution, Journal Year: 2023, Volume and Issue: 234(9)
Published: Sept. 1, 2023
Abstract In this contribution we quantify the potential to reduce discharge of excess nutrients with European wastewater, by modelling pollution, greenhouse gas emissions and costs measures under various scenarios. We analyse two types strategies, namely extending requirement nutrient removal broader areas increasing efficiency nitrogen phosphorus. As former strategy usually entails some infrastructural investment while latter an optimization existing processes, imply different costs, shows a better cost–benefit ratio. any case, actions are expected pay for themselves in terms benefits they bring abating water pollution (for nitrogen) emissions. Nitrogen becomes even more attractive whenever investments that assume may be avoided, thanks possibility optimized use infrastructure. Phosphorus become progress technologies its recovery from wastewater sludge, increase demand fertilizers other industrial uses.
Language: Английский
Citations
3The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 905, P. 167331 - 167331
Published: Sept. 23, 2023
Nitrate pollution and eutrophication remain pressing issues in Europe regarding the quality of aquatic ecosystems safety drinking water. Achieving water goals under Water Framework Directive (WFD) has proven to be particularly challenging agricultural catchments, where high nitrate concentrations are main reason for failure many bodies meet a good ecological status. Canals ditches common man-made features irrigated drained landscapes and, when vegetated, have recently been identified as denitrification hotspots. By combining experimental data GIS-based upscaling estimation, potential capacity canal network reduce loads was quantified several scenarios differing level extent length conservative management practices implemented. The analysis carried out lowlands Po River basin, which is largest hydrographic system Italy global hotspot nitrogen inputs eutrophication. Scenario simulations showed that maintaining vegetation at least 25 % length, selecting sites with availability (>2.4 mg N L-1), would promote greater permanent removal. increased load reduction target required achieve WFD status waters draining into Adriatic Sea during spring-summer months, risk higher. Promoting by postponing mowing in-stream end growing season could an effective mitigation strategy improve basins contribute achieving goals.
Language: Английский
Citations
3Published: Feb. 16, 2024
The intensification of agriculture to meet the increasing food demands and changing climate dynamics necessitates sustainable land water resource management. This doctoral thesis examines complex interaction between agricultural activities quality by exploring two agricultural-dominated watersheds in northern Spain southeastern Sweden using Soil Water Assessment Tool (SWAT) model. research focuses on (i) evaluating SWAT model’s applicability study areas, (ii) assessing effects from rainfed irrigated agriculture, (iii) understanding change quantity quality, (iv) quantifying efficacy best management practices (BMPs) minimizing nutrient export. Overall, this dissertation emphasizes crucial need for a comprehensive grasp impacts quality. not only elucidates complicated utilizing advanced hydrological modeling approaches but also provides stakeholders with practical tools guide informed decision-making. findings provide transformative approach toward protecting nurturing resilient ecosystems, promoting diverse geographical contexts.
Language: Английский
Citations
0Published: Jan. 24, 2024
A Fabiola Fandiño por cuidar a
Citations
0Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(4)
Published: March 21, 2024
Abstract The deterioration of superficial water quality is a significant concern in management. Currently, most European rivers do not achieve qualitative standards defined by Directive 2000/60/EC (Water Framework Directive, WFD), while the health status many surface bodies remains unknown. Within this context, we propose new methodology to perform semi-quantitative analysis pressure state river, starting from easily accessible data related anthropic activities. proposed approach aims address endemic scarcity monitoring records. This study proposes procedure (i) evaluate relative different human activities, (ii) identify allocation points pollutant sources along river using raster-based approach, and (iii) determine spatial biochemical index. developed index expresses overall induced that may simultaneously impact single segment. includes establishments under so-called Seveso activities subjected IPPC-IED discipline, wastewater treatment plants, contaminated sites. has been tested over three Northern Italy, each exposed industrial anthropogenic pressures: Reno, Enza, Parma. A comparison with monitored yielded convincing results, proving consistency reproducing variability quality. While additional investigations are necessary, can serve as valuable tool support decision-making processes predictive studies areas lacking or having limited data.
Language: Английский
Citations
0Scientific Review Engineering and Environmental Sciences (SREES), Journal Year: 2024, Volume and Issue: 33(2), P. 115 - 130
Published: May 29, 2024
Lithuania’s development of the river modelling system (RMS) exemplifies an institutional and application integrated for water agricultural management. What started as a test case, continued to develop focusing on environmental compliance with EU regulations. Currently, RMS is part decision-making. By incorporating soil assessment tool (SWAT) model comprehensive data sources, facilitates in-depth analysis policy formulation. Applications in management plans, pollution assessments, climate change studies demonstrate reliability RMS. Despite quality skill retention challenges, commitment collaboration ensure RMS’s persistence. This experience emphasizes value sustained investment systems achieving sustainable governance signifies shift towards driven green transition practices.
Language: Английский
Citations
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