Integrated hydrological modeling inthe Bharathapuzha River Basin, South India using SWAT Model DOI Creative Commons
Gulja S. Nair,

D. Karunanidhi,

T. Subramani

et al.

Desalination and Water Treatment, Journal Year: 2024, Volume and Issue: 321, P. 100975 - 100975

Published: Dec. 31, 2024

Language: Английский

A spatio-temporal analysis of the magnitude and trend of land use/land cover changes in Gilgel Gibe Catchment, Southwest Ethiopia DOI Creative Commons
Zewde Alemayehu Tilahun,

Yechale Kebede Bizuneh,

Abren Gelaw Mekonnen

et al.

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

10

Impact of Climate Change on Regional Water Availability and Demand for Agricultural Production: Application of Water Footprint Concept DOI

T. R. Sreeshna,

P. Athira,

B. Soundharajan

et al.

Water Resources Management, Journal Year: 2024, Volume and Issue: 38(10), P. 3785 - 3817

Published: April 17, 2024

Language: Английский

Citations

5

Long-term river flow forecasting: An integrated deep learning model with multi-scale feature extraction DOI
Deguang Wang, Qian Li, Shijun Liu

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127387 - 127387

Published: April 1, 2025

Language: Английский

Citations

0

Streamflow prediction in ungauged watershed using regionalization technique: case study of muger watershed, Upper Blue Nile Basin, Ethiopia DOI
Alene Moshe, Dereje Teshome,

Habitamu Taddese

et al.

International Journal of Energy and Water Resources, Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

Language: Английский

Citations

0

Assessing Future Hydrological Variability in a Semi-Arid Mediterranean Basin: Soil and Water Assessment Tool Model Projections under Shared Socioeconomic Pathways Climate Scenarios DOI Open Access
Marziyeh Haji Mohammadi, Vahid Shafaie, Aliakbar Nazari Samani

et al.

Water, 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

2

Machine learning and CORDEX-Africa regional model for assessing the impact of climate change on the Gilgel Gibe Watershed, Ethiopia DOI
Amanuel Kumsa Bojer,

Muluneh Woldetsadik,

Bereket Hailu Biru

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 363, P. 121394 - 121394

Published: June 9, 2024

Language: Английский

Citations

2

Influence of land use enclave distribution on discharge in a small catchment DOI Open Access
Jana Moravcová, Vendula Moravcová,

Pavel Ondr

et al.

Journal 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

1

Perceptions and attitudes of local people towards participatory natural resources management in the Jemma Watershed, North Shewa Zone, Ethiopia DOI Creative Commons

Negash Tamiru Zewde,

Mekuria Argaw, Solomon Tadesse

et al.

Sustainable 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

0

Forecasting water scarcity with an optimized Soil and Water Assessment Tool (SWAT) model under representative concentration pathway (RCP) scenarios DOI Creative Commons

C. Li,

Xin Guo,

Liping Chen

et al.

Water 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

0

A Review on the Current Trends in Crop Yield Forecasting Using Artificial Intelligence DOI Creative Commons

Ratul Ray -

International 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