The Impact of Climate Change on the Environment, Water Resources, and Agriculture: A Comprehensive Review DOI

Prerna Mehta

Advances in geographical and environmental sciences, Journal Year: 2024, Volume and Issue: unknown, P. 189 - 201

Published: Jan. 1, 2024

Language: Английский

Integrated Spatio-Temporal and Environmental Modelling of Water Scarcity in Saudi Arabia Using Shared Socioeconomic Pathways DOI Creative Commons

Ai Likun,

Mohammad Suhail, Mohd Nazish Khan

et al.

Environmental Challenges, Journal Year: 2025, Volume and Issue: unknown, P. 101151 - 101151

Published: April 1, 2025

Language: Английский

Citations

0

A Qualitative Exploration of the Influence of Climate Change on Migration of Women in the Riverine Area of Bayelsa State, Nigeria DOI Creative Commons
Turnwait Otu Michael

Social 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

4

Real-Time Evaluation of the Uncertainty in Weather Forecasts Through Machine Learning-Based Models DOI Creative Commons
Carmen Calvo-Olivera, Ángel Manuel Guerrero‐Higueras, Jesús Lorenzana

et al.

Water 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

4

Impacts of Extreme Climate on the Water Resource System in Sichuan Province DOI Open Access

Ma Fang,

Zhi Jun Li

Water, 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

4

Pervasiveness and classification of microplastics in Landfill Leachate: Impacts, Risks, and Treatment Efficiency DOI Creative Commons

Farhana Zaman,

Md. Ashikur Rahman, Md. Morshedul Haque

et al.

Journal of Hazardous Materials Advances, Journal Year: 2024, Volume and Issue: 16, P. 100502 - 100502

Published: Oct. 12, 2024

Language: Английский

Citations

4

Unravelling the effects of climate change on the soil-plant-atmosphere interactions: A critical review DOI Creative Commons

Maria Nahin Oishy,

Nigar Ahmmad Shemonty,

Sadia Islam Fatema

et al.

Soil & Environmental Health, Journal Year: 2025, Volume and Issue: unknown, P. 100130 - 100130

Published: Jan. 1, 2025

Language: Английский

Citations

0

Role of Higher Educational Institutions in Promoting Environmental Protection and Sustainability Goals Using AI Adoption DOI
Arpita Ghosh

Practice, 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

0

Understanding health trends in Ladakh region insights into disease patterns and social dynamics DOI Creative Commons
Aijaz Ahmad Khanday,

Mushtaq Ahmad Kumar,

Ghulam Mohammad Rather

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 22(1)

Published: April 15, 2025

Language: Английский

Citations

0

Real-time IoT architecture for water management in smart cities DOI Creative Commons

George Iancu,

Sorin N. Ciolofan, Monica Drăgoicea

et al.

Deleted 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

3

Climate Change and Soil Dynamics: A Crop Modelling Approach DOI Creative Commons
Eranga M. Wimalasiri,

Deshani Sirishantha,

U. L. Karunadhipathi

et al.

Soil 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