Advances in geographical and environmental sciences, Journal Year: 2024, Volume and Issue: unknown, P. 189 - 201
Published: Jan. 1, 2024
Language: Английский
Advances in geographical and environmental sciences, Journal Year: 2024, Volume and Issue: unknown, P. 189 - 201
Published: Jan. 1, 2024
Language: Английский
Environmental Challenges, Journal Year: 2025, Volume and Issue: unknown, P. 101151 - 101151
Published: April 1, 2025
Language: Английский
Citations
0Social Sciences, Journal Year: 2024, Volume and Issue: 13(2), P. 89 - 89
Published: Jan. 31, 2024
The riverine region of Bayelsa State, Nigeria, faces a critical issue as the impacts climate change, including rising sea levels, extreme weather events, and disruptions to traditional livelihoods, disproportionately affect women. This qualitative study aimed fill gap in understanding by exploring nuanced ways which these environmental challenges influence migration decisions women who have fled floods, remain displaced, opted not return prevent potential negative experiences linked future flooding region. research delves into interplay between gender dynamics, community resilience. Employing an exploratory design with purposive snowball sampling techniques, selected 51 female participants. Through 24 in-depth interviews three focus group discussions, captured grappling posed change. Thematic analysis was applied analyze collected data. unveiled that change significantly shapes area State. manifests through disrupted flooding, water scarcity, diseases health challenges, housing insecurity, increased vulnerabilities, uncertain prospects. These findings underscore pressing need for gender-responsive policies community-based strategies address complex women’s experiences.
Language: Английский
Citations
4Water Resources Management, Journal Year: 2024, Volume and Issue: 38(7), P. 2455 - 2470
Published: Feb. 17, 2024
Abstract Meteorological events have always been of great interest because they influenced everyday activities in critical areas, such as water resource management systems. Weather forecasts are solved with numerical weather prediction models. However, it sometimes leads to unsatisfactory performance due the inappropriate setting initial state. Precipitation forecasting is essential for semi-arid climate and seasonal rainfall areas Ebro basin. This research aims improve estimation uncertainty associated real-time precipitation predictions presenting a machine learning-based method evaluate forecast obtained by Research Forecasting model. We use model trained ground-truth data from Confederación Hidrográfica del Ebro, WRF results compute uncertainty. Experimental show that Decision Tree-based ensemble methods get lowest generalization error. Prediction models studied above 90% accuracy, root mean square error has similar compared those ground truth data. Random Forest presents difference -0.001 concerning 0.535 Generally, using ML-based offers good robust over more traditional forms calculation an effective alternative computation.
Language: Английский
Citations
4Water, Journal Year: 2024, Volume and Issue: 16(9), P. 1217 - 1217
Published: April 24, 2024
Based on the data of Sichuan Province from 2007 to 2021, extreme climate events in was identified by statistical method, and coupling coordination degree water resources-climate system separate resource analyzed. difference under these two systems, influence mechanism factors is The results show that types gradually transition drought precipitation low temperature high temperature. When are not considered, generally improved distribution more concentrated. Moreover, a simple linear relationship.
Language: Английский
Citations
4Journal of Hazardous Materials Advances, Journal Year: 2024, Volume and Issue: 16, P. 100502 - 100502
Published: Oct. 12, 2024
Language: Английский
Citations
4Soil & Environmental Health, Journal Year: 2025, Volume and Issue: unknown, P. 100130 - 100130
Published: Jan. 1, 2025
Language: Английский
Citations
0Practice, progress, and proficiency in sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 119 - 148
Published: Jan. 31, 2025
The circular economy and nature-based treatment methods are the solutions toward climate crisis to achieve sustainability (balance between environment, social, economic). waste management principle of 5Rs needs be implemented as all materials can used resources in some other process rather than throwing landfill. To decrease disposal landfills, research, industry, daily life should place a strong emphasis on material wealth. products need separated reused for use raw production valuables or process. aim this chapter was discuss influence subjects higher education its role AI SDGs successfulness thus environmental protection.
Language: Английский
Citations
0Deleted Journal, Journal Year: 2025, Volume and Issue: 22(1)
Published: April 15, 2025
Language: Английский
Citations
0Deleted Journal, Journal Year: 2024, Volume and Issue: 6(4)
Published: April 4, 2024
Abstract This paper presents a digital system that aims to analyze real-time data obtained from sensors installed in city's water distribution infrastructure. The system’s primary objective is monitor quality and generate alerts when necessary. following metrics are used: Flow, pH, Turbidity, Free Chlorine, Nitrate, Fluoride. gathered initially processed by distributed system, which generates multiple visualizations synthesize large amounts of information. These facilitate monitoring the sensor's status. Additionally, citizens can receive updates on any possible issues network through WhatsApp messages. By addressing limitations traditional methods, this contributes noteworthy enhancement public supply services. Consequently, it improves overall life for citizens.
Language: Английский
Citations
3Soil Systems, Journal Year: 2023, Volume and Issue: 7(4), P. 82 - 82
Published: Sept. 26, 2023
The impact of global climate change is a challenge to the sustainability many ecosystems, including soil systems. However, performance properties under future was rarely assessed. Therefore, this study carried out evaluate selected processes using an agri-environmental modeling approach Sri Lanka. Agricultural Production Systems Simulator (APSIM) model used simulate and plant-related recent past (1990–2019) (2041–2070) climates. Future data were obtained for regional (RCM) representative concentrations pathway 4.5 scenarios. Rainfalls are going be decreased in all tested locations scenarios while maximum temperature showcased rises. According simulated results, average yield reduction 7.4%. nitrogen content storage organs paddy declined (by 6.4–25.5%) as reason change. In general, extractable water relative permanent wilting point (total available water), infiltration, biomass carbon lost atmosphere increased climate. This provides primary-level prediction dynamics change, which needs fieldwork.
Language: Английский
Citations
7