Soil and Water Assessment Tool-Based Prediction of Runoff Under Scenarios of Land Use/Land Cover and Climate Change Across Indian Agro-Climatic Zones: Implications for Sustainable Development Goals

Water, Journal Year: 2025, Volume and Issue: 17(3), P. 458 - 458

Published: Feb. 6, 2025

Assessing runoff under changing land use/land cover (LULC) and climatic conditions is crucial for achieving effective sustainable water resource management on a global scale. In this study, the focus was predictions across three diverse Indian watersheds—Wunna, Bharathapuzha, Mahanadi—spanning distinct agro-climatic zones to capture varying hydrological complexities. The soil assessment (SWAT) tool used simulate future influenced by LULC climate change explore related sustainability implications, including challenges proposing countermeasures through action plan (SAP). methodology integrated high-resolution satellite imagery, cellular automata (CA)–Markov model projecting changes, downscaled data representative concentration pathways (RCPs) 4.5 8.5, representing moderate extreme scenarios, respectively. SWAT calibration validation demonstrated reliable predictive accuracy, with coefficient of determination values (R2) > 0.50 confirming reliability in simulating processes. results indicated significant increases surface due urbanization, reaching >1000 mm, 600 400 mm southern southeastern Wunna, northwestern Mahanadi, respectively, especially 2040 RCP 8.5. These findings indicate that quality, agricultural productivity, urban infrastructure may be threatened. proposed SAP includes nature-based solutions, like wetland restoration, climate-resilient strategies mitigate adverse effects partially achieve development goals (SDGs) clean action. This research provides robust framework watershed similar regions worldwide.

Language: Английский

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The Evolving Roles of Geophysics in Environmental Assessment, Monitoring, and Management of Landfill Leachate Contaminant Plumes: An Overview

Case Studies in Chemical and Environmental Engineering, Journal Year: 2025, Volume and Issue: 11, P. 101124 - 101124

Published: Jan. 31, 2025

Language: Английский

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Ground–Surface Water Assessment for Agricultural Land Prioritization in the Upper Kansai Basin, India: An Integrated SWAT-VIKOR Framework Approach

Water, Journal Year: 2025, Volume and Issue: 17(6), P. 880 - 880

Published: March 19, 2025

Prioritizing agricultural land use is a significant challenge for sustainable development in the rapidly urbanizing, semi-arid riverine basins of South Asia, especially under climate variability and water scarcity. This study introduces systematic framework combining remote sensing geospatial data with Soil Water Assessment Tool (SWAT) model, morphometric analysis, VIKOR-based Multi-Criteria Decision Analysis (MCDA) to effectively identify Agricultural Land Prioritization (AgLP) areas Upper Kansai Basin, India, while reducing environmental impact, line Sustainable Development Goals (SDGs). The SWAT model simulation reveals varied hydrological patterns, basin yields from 965.9 1012.9 mm substantial baseflow (~64% total flow), emphasizing essential groundwater–surface interactions agriculture. However, discrepancy between percolation (47% precipitation) deep recharge (2% signals potential long-term groundwater challenges. VIKOR analysis offers robust prioritization framework, ranking SW4 as most suitable (Qi = 0.003) balanced features, agreement outcomes. SW5 display optimal conditions due stable terrain, effective retention, favorable traits (drainage density 3.0–3.15 km/km2; ruggedness 0.3–0.4). Conversely, SW2, high drainage (5.33 km/km2) (2.0), shows low suitability, indicating risks erosion poor retention. integrated AgLP advances supports SDGs, including SDG 2 (Zero Hunger), 6 (Clean Water), 13 (Climate Action), 15 (Life on Land). Incorporating dynamics, use, soil properties, variables, this approach precise assessment suitability address global sustainability challenges vulnerable developing nations.

Language: Английский

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Harnessing AHP and Fuzzy Scenarios for Resilient Flood Management in Arid Environments: Challenges and Pathways Toward Sustainability

Water, Journal Year: 2025, Volume and Issue: 17(9), P. 1276 - 1276

Published: April 25, 2025

Flash floods rank among the most devastating natural hazards, causing widespread socio-economic, environmental, and infrastructural damage globally. Hence, innovative management approaches are required to mitigate their increasing frequency intensity, driven by factors such as climate change urbanization. Accordingly, this study introduced an integrated flood assessment approach (IFAA) for sustainable of risks integrating analytical hierarchy process-weighted linear combination (AHP-WLC) fuzzy-ordered weighted averaging (FOWA) methods. The IFAA was applied in South Khorasan Province, Iran, arid flood-prone region. Fifteen controlling factors, including rainfall (RF), slope (SL), land use/land cover (LU/LC), distance rivers (DTR), were processed using collected data. AHP-WLC method classified region into susceptibility zones: very low (10.23%), (23.14%), moderate (29.61%), high (17.54%), (19.48%). FOWA technique ensured these findings introducing optimistic pessimistic fuzzy scenarios risk. extreme scenario indicated that 98.79% area highly sensitive flooding, while less than 5% deemed low-risk under conservative scenarios. Validation demonstrated its reliability, with achieving curve (AUC) 0.83 average accuracy ~75% across all Findings revealed elevated dangers densely populated industrialized areas, particularly northern southern regions, which influenced proximity rivers. Therefore, also addressed challenges linked development goals (SDGs), SDG 13 (climate action), proposing adaptive strategies meet 60% targets. This research can offer a scalable framework risk management, providing actionable insights hydrologically vulnerable regions worldwide.

Language: Английский

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Improving the Accuracy of Groundwater Level Forecasting by Coupling Ensemble Machine Learning Model and Coronavirus Herd Immunity Optimizer

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: May 3, 2025

Language: Английский

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Enhancing the prediction of groundwater quality index in semi-arid regions using a novel ANN-based hybrid arctic puffin-hippopotamus optimization model

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102424 - 102424

Published: May 5, 2025

Language: Английский

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Data-driven multi-hazard susceptibility and community perceptions assessment using a mixed-methods approach

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 388, P. 126009 - 126009

Published: May 30, 2025

Language: Английский

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