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 DOI Open Access
Subbarayan Saravanan, Youssef M. Youssef, Leelambar Singh

et al.

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

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 DOI Open Access
Subbarayan Saravanan, Youssef M. Youssef, Leelambar Singh

et al.

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

Citations

1