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

被引：2

作者：

Subbarayan, Saravanan ^{[1
]}

Youssef, Youssef M. ^{[2
]}

Singh, Leelambar ^{[3
]}

Dabrowska, Dominika ^{[4
]}

Alarifi, Nassir ^{[5
]}

Ramsankaran, Raaj ^{[6
]}

Visweshwaran, R. ^{[7
]}

Saqr, Ahmed M. ^{[8
]}

机构：

[1] Natl Inst Technol, Dept Civil Engn, Trichy 620015, India

[2] Suez Univ, Fac Petr & Min Engn, Geol & Geophys Engn Dept, Suez 43518, Egypt

[3] Malaviya Natl Inst Technol, Dept Civil Engn, Jaipur 302017, India

[4] Univ Silesia, Fac Nat Sci, Bedzinska 60, PL-41200 Sosnowiec, Poland

[5] King Saud Univ, Coll Sci, Dept Geol & Geophys, POB 2455, Riyadh 11451, Saudi Arabia

[6] Indian Inst Technol Bombay Powai, Dept Civil Engn, Mumbai 400076, India

[7] Univ Reading, Dept Meteorol, Berks RG66AH, England

[8] Mansoura Univ, Fac Engn, Irrigat & Hydraul Dept, Mansoura 35516, Egypt

来源：

WATER | 2025年 / 17卷 / 03期

关键词：

SWAT; CA-Markov; land use/land cover; climate change; agro-climate; India; sustainable development goals; ECOSYSTEM SERVICES; RIVER-BASIN;

D O I：

10.3390/w17030458

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Assessing runoff under changing land use/land cover (LULC) and climatic conditions is crucial for achieving effective and sustainable water resource management on a global scale. In this study, the focus was on runoff predictions across three diverse Indian watersheds-Wunna, Bharathapuzha, and Mahanadi-spanning distinct agro-climatic zones to capture varying climatic and hydrological complexities. The soil and water assessment (SWAT) tool was used to simulate future runoff influenced by LULC and climate change and to explore the related sustainability implications, including related challenges and proposing countermeasures through a sustainable action plan (SAP). The methodology integrated high-resolution satellite imagery, the cellular automata (CA)-Markov model for projecting LULC changes, and downscaled climate data under representative concentration pathways (RCPs) 4.5 and 8.5, representing moderate and extreme climate scenarios, respectively. SWAT model calibration and validation demonstrated reliable predictive accuracy, with the coefficient of determination values (R-2) > 0.50 confirming the reliability of the SWAT model in simulating hydrological processes. The results indicated significant increases in surface runoff due to urbanization, reaching >1000 mm, 600 mm, and 400 mm in southern Bharathapuzha, southeastern Wunna, and northwestern Mahanadi, respectively, especially by 2040 under RCP 8.5. These findings indicate that water quality, agricultural productivity, and urban infrastructure may be threatened. The proposed SAP includes nature-based solutions, like wetland restoration, and climate-resilient strategies to mitigate adverse effects and partially achieve sustainable development goals (SDGs) related to clean water and climate action. This research provides a robust framework for sustainable watershed management in similar regions worldwide.

引用

页数：25

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