Hydrological Assessment of Uttarakhand Using the Budyko Framework and Geospatial Analysis: Insights for Sustainable Water Resource Management

Water Resources Management, Год журнала: 2025, Номер unknown

Опубликована: Май 13, 2025

Язык: Английский

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The Spatio-Temporal Impact of Land Use Changes on Runoff in the Yiluo River Basin Based on the SWAT and PLUS Model

Water, Год журнала: 2025, Номер 17(10), С. 1516 - 1516

Опубликована: Май 17, 2025

As a major tributary of the Yellow River, Yiluo River holds vital importance for regional water resource management and ecological sustainability. In this study, SWAT (version 2012) PLUS models were used in combination to simulate hydrological responses basin analyze how land use changes have influenced runoff dynamics over time. During calibration validation periods, Nash–Sutcliffe efficiency coefficient (NS) determination (R2) model both exceeded 0.8, while Kappa indicated an overall accuracy 0.91, confirming applicability Basin. However, despite strong annual performance, potential monthly or seasonal simulation uncertainties should be acknowledged warrant further analysis. From 2000 2020, areas forest land, water, urban unused Basin increased by 795.15 km2, 29.33 573.67 0.25 respectively, cultivated grassland decreased 814.50 km2 583.89 km2. The spatial distribution average depth generally exhibited pattern “higher upstream lower downstream”. An increase forestland was found suppress generation, whereas expansion promoted production. Implementing water-sensitive strategies—such as expanding cover conserving grasslands—is crucial reducing negative impacts expansion. Such measures can improve regulation, enhance groundwater recharge, support sustainable resources within basin. Assuming climate conditions remain constant, 2025 2030 is expected dominated forestland. Under scenario, projected 0.42% 0.51% compared respectively.

Язык: Английский

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Assessing climate and land use impacts on surface water yield using remote sensing and machine learning

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 27, 2025

Язык: Английский

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Investigating the impact of land use land cover change on groundwater level dynamics in the Koraiyar watershed, Coimbatore District, Tamil Nadu, India

Frontiers in Water, Год журнала: 2024, Номер 6

Опубликована: Ноя. 21, 2024

Land use refers to how the surface of a designated area is utilized, encompassing both developed and vacant lands. The intricate interplay between population growth availability natural resources gives rise diverse challenges that are exhibited in recharge groundwater. This research was conducted Koraiyar Watershed, Coimbatore District, Tamil Nadu, India. change land cover (LULC) detected by digitizing linear imaging self scanning sensor (LISS) III LISS IV satellite images for years 2000 2011 using maximum likelihood classification algorithm. LANDSAT-8 OLI data were processed year 2020. study has subsequently undergone an assessment groundwater levels determine impact cover. result indicates continuous decrease wet crop area, which effect gradual depletion resources. Along with this, narrowing water bodies increased areas dry crops, industrial areas, quarries also responsible lowering table contamination. Settlements from 39 49 km 2 then gradually 50 2020 meet demand population. From 2019, level been declining respect LULC pattern. increase concrete platforms can affect infiltration. Thus, aid developing management strategies decisions governmental non-governmental policymakers.

Язык: Английский

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Quantitative Assessment of Future Environmental Changes in Hydrological Risk Components: Integration of Remote Sensing, Machine Learning, and Hydraulic Modeling

Water, Год журнала: 2024, Номер 16(23), С. 3354 - 3354

Опубликована: Ноя. 22, 2024

Floods are one of the most devastating natural hazards that have intensified due to land use cover (LULC) changes in recent years. Flood risk assessment is a crucial task for disaster management flood-prone areas. In this study, we proposed flood framework combines vulnerability, hazard, and damages under long-term LULC Tajan watershed, northern Iran. The research analyzed historical change trends predicted up 2040 by employing Geographic Information System (GIS), remote sensing, modeling. vulnerability map was generated using Random Forest model, incorporating data from 332 flooded locations 12 geophysical anthropogenic factors scenarios. potential damage costs residential agricultural areas, considering changes, were calculated HEC-RAS hydraulic model global function. results revealed unplanned urban growth, expansion, deforestation near river downstream amplify 2040. High very high areas would increase 43% human activities changes. Estimated annual agriculture built-up projected surge USD 162 million 376 91 220 million, respectively, 2021 scenarios region. This highlights importance planning mitigating flood-associated risks, both studied area other regions.

Язык: Английский

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Evaluating the spatiotemporal land ecological changes in the Yangtze-to-Huaihe Water Diversion Project area

Environmental Science and Pollution Research, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

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