
Desalination and Water Treatment, Journal Year: 2024, Volume and Issue: 321, P. 100975 - 100975
Published: Dec. 31, 2024
Language: Английский
Desalination and Water Treatment, Journal Year: 2024, Volume and Issue: 321, P. 100975 - 100975
Published: Dec. 31, 2024
Language: Английский
Heliyon, Journal Year: 2024, Volume and Issue: 10(2), P. e24416 - e24416
Published: Jan. 1, 2024
Analyzing alterations in land use/land cover is crucial for water Scientists, planners, and decision-makers watershed management. This examination enables the development of effective solutions to mitigate adverse impacts resulting from such changes. The focus this research was analyzing within Gilgel Gibe Catchment 1991 - 2021. LULC data 1991-2021 were derived multispectral Landsat images. Data also gathered using field observations key informant interview. classes (1991-2021) generated utilizing supervised classification with maximum likelihood algorithm ENVI 5.1 ArcGIS 10.5. Change detection analysis accuracy assessment done where levels all study periods > 85 %, overall Kappa statistics 0.89. Built-up area cultivated catchment are increasing magnitude change; whereas, while forest grazing shrinking declining magnitudes change, shrubland covers body change catchment. net increase degraded a reflection degradation natural resources Swift escalation population subsequent raising demand farmland shrub (e.g. fuel-wood construction) products, decline yield, unemployment lack alternative income source, open access limited conservation principal factors dramatic shrinkages grazing, forest, resources. Thus, concerned bodies should take rehabilitation measures restore lands, improve production yield by improved farm-inputs irrigation, create employment sources youth, women poor so as ensure sustainable rural livelihoods curb on other
Language: Английский
Citations
10Water Resources Management, Journal Year: 2024, Volume and Issue: 38(10), P. 3785 - 3817
Published: April 17, 2024
Language: Английский
Citations
5Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127387 - 127387
Published: April 1, 2025
Language: Английский
Citations
0International Journal of Energy and Water Resources, Journal Year: 2025, Volume and Issue: unknown
Published: March 25, 2025
Language: Английский
Citations
0Water, Journal Year: 2024, Volume and Issue: 16(6), P. 805 - 805
Published: March 8, 2024
Climate is one of the main drivers hydrological processes, and climate change has caused worldwide effects such as water scarcity, frequent floods intense droughts. The purpose this study was to analyze on balance components, high flow low stream conditions in a semi-arid basin Iran. For reason, outputs CanESM5 model under Shared Socioeconomic Pathways (SSP) scenarios SSP126, SSP245, SSP585 were spatially downscaled by Statistical Downscaling Model (SDSM). process simulated Soil Water Assessment Tool (SWAT) model. Key findings include 74% increase evapotranspiration, reduction up 9.6% surface runoff, variations discharge 53.6%. temporal analysis snow melting changes revealed an volume during winter months spring. projected expected cause notable events, particularly scenario, which anticipates significant peaks rates. This comprehensive underscores pressing need for adaptive strategies resource management mitigate anticipated impacts variability.
Language: Английский
Citations
2Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 363, P. 121394 - 121394
Published: June 9, 2024
Language: Английский
Citations
2Journal of Hydrology and Hydromechanics, Journal Year: 2024, Volume and Issue: 72(2), P. 268 - 278
Published: May 9, 2024
Abstract According to many authors, hydrological modelling is one of the fundamental techniques for determining impacts various environmental changes on quantitative characteristics aquatic environment. This study examines effects landscape induced by need respond climate change and natural urban development rural setting discharge from small catchment. The SWAT model was applied a catchment Kopaninsky Stream in traditional agricultural part Czech Republic. results, most effective approach reducing consequences extremes retaining more water properly spaced placement grassland forest enclaves developing structure. In practice, each land use category’s overall percentage representation less significant than its relative arrangement.
Language: Английский
Citations
1Sustainable Environment, Journal Year: 2024, Volume and Issue: 10(1)
Published: Feb. 4, 2024
To restore the degraded watersheds, government of Ethiopia has recently introduced and adopted participatory natural resources management (PNRM) in different regions country. This study aimed at investigating effects various independent variables derived from demographic, socio-economic, biophysical, institutional, cognitive factors on perceptions attitudes local people towards PNRM Jemma Watershed, North Shewa Zone, Central Ethiopia. Semi-structured questionnaire comprised closed- open-ended questions was developed administered to a total n = 420 random households five purposely selected Kebeles Watershed. Descriptive statistics multiple linear regression techniques were used analyze interpret household survey data. The descriptive results revealed that majority respondents (92.19%) agreed they had responsibility protect manage Consequently, about 83% already accepted program watershed. models several socioeconomic, significant ‘the concept PNRM’ (68% variance explained), presence practice’ (61% problems with existing system’ (72% explained). further uncovered significantly affected ‘managing through approach’ (63% ‘having resources’ (75% ‘accepting practice (65% As there are still some who yet unsure fully accept PNRM, creating public awareness integrated watershed is crucial alleviate deforestation land degradation, thereby enhancing sustainable use
Language: Английский
Citations
0Water Science & Technology Water Supply, Journal Year: 2024, Volume and Issue: unknown
Published: April 22, 2024
Abstract Water Supply issues a formal withdrawal in relation to the above article by Cen Li, Xin Guo, Liping Chen, Majid Khayatnezhad and Fatemeh Gholinia. This decision has been made due concerns that were raised regarding potential citation manipulation inappropriate references, significant authorship changes during peer review. The journal did not receive satisfactory response these as such Editors-in-Chief no longer have confidence integrity of article.
Language: Английский
Citations
0International Journal For Multidisciplinary Research, Journal Year: 2024, Volume and Issue: 6(3)
Published: May 26, 2024
In the face of escalating global food demands and increasing unpredictability climate conditions, importance precise crop yield forecasting has never been more critical. This paper provides a comprehensive review current trends in leveraging Artificial Intelligence (AI) to enhance predictions, which is pivotal for strategic agricultural planning ensuring security. Our covers range AI methodologies, including machine learning, deep hybrid models, that have employed predict yields with accuracy. Recent advancements demonstrated learning techniques, such as support vector machines random forests, are effective modeling complex data sets notable degree precision. However, approaches, convolutional recurrent neural networks, started outperform traditional owing their ability process large-scale spatial-temporal from remote sensing IoT-based sensors. We also explore emergence models combine strengths both technologies, providing enhanced accuracy robustness prediction under varying climatic conditions. Additionally, this discusses integration geographic information systems (GIS) significantly improved spatial resolution predictions. highlight several key challenges remain, scarcity, need model generalization, socioeconomic factors into models. conclusion, presents transformative potential forecasting. By harnessing cutting-edge technologies addressing existing challenges, significant strides can be made towards sustainable efficient practices. aims inspire continued research innovation critical field.
Language: Английский
Citations
0