Exploring Hydrological Processes and Land Management Impacts in the Hamp River Basin—A SWAT Model Approach
Department of Geo‑Engineering & RDT, Andhra University College of Engineering (A), Andhra University, Visakhapatnam, Andhra Pradesh 530003, India
Department of Geo‑Engineering & RDT, Andhra University College of Engineering (A), Andhra University, Visakhapatnam, Andhra Pradesh 530003, India
Department of Civil Engineering, Andhra University College of Engineering (A), Andhra University, Visakhapatnam, Andhra Pradesh 530003, India
CADA, Water Resources Department, Vijayawada, Andhra Pradesh 520002, India
DOI: https://doi.org/10.36956/lmu.v1i1.1606
Received: 19 December 2024 | Revised: 5 February 2025 | Accepted: 11 February 2025 | Published Online: 18 February 2025
Copyright © 2025 Mudigandla Rajesh, Murali Krishna Gurram, Battula Vijaya Saradhi, Nadupu Bhaskar Rao. Published by Nan Yang Academy of Sciences Pte. Ltd.
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
Abstract
Rainfall‑runoff modeling is a critical component of hydrological studies, aiding in analyzing river basin responses to climatic variations. This paper examines the rainfall‑runoff behaviour of the Hamp River Basin, part of the Mahanadi River System, using the Soil andWater Assessment Tool (SWAT). SWAT, a physically based, continuous‑time model, predicts land management effects on water, sediment and agricultural yields in large watersheds. This study calibrates and validates SWAT for the Hamp River Basin to assess its effectiveness in simulating stream flow. Additionally, it explores the implications of land management policies on hydrological processes, examining policy‑model interactions to understand regulatory impacts on runoff and sediment yield. Simulated policy scenarios predict hydrological changes under different land management strategies. By integrating socio‑economic characteristics, the study analyses hydrological changes affecting local communities, particularly regarding land use and agricultural sustainability. Soil conservation strategies are evaluated to recommend measures for mitigating sediment loss and enhancing resource conservation. The Hamp River watershed, within the Seonath sub‑basin of the upper Mahanadi basin, was studied to estimate sediment yield and nutrient loss. Critical agricultural sub‑watersheds and associated Hydrological Response Units (HRUs) were identified using ArcSWAT. The area was divided into 16 sub‑watersheds based on topographical features from a Digital Elevation Model (DEM) and drainage networks. Land cover, soil and DEM data were used to create HRUs, enabling annual runoff analysis across calibration and validation periods (2017–2023).
Keywords: Rainfall‑Runoff Modelling; Mahanadi River System; SWAT Model; Hydrology; Stream Flow Simulation; Sediment Yield; Nutrient Loss
References
[1] Beven, K.J., 2012. Rainfall-Runoff Modelling: The Primer, 2nd ed. Wiley-Blackwell: Hoboken, NJ, USA.
[2] Wagener, T., 2004. Evaluation of parameter estimation techniques for watershed models. Journal of Hydrology. 274(1–4), 244–263.
[3] Rana, M.M., 2020. Assessing the impact of land use changes on the hydrology of the Mahanadi River Basin. India. Journal of Hydrology. 580.
[4] Kinthada, N.R., Gurram, M.K., 2020. Remote Sensing and GIS for Integrated Modeling and Analysis for Mapping of Groundwater Potential Zones in Sarada River Basin, Visakhapatnam, India. International Letters of Natural Science. 78, 1–13. DOI: https://doi.org/10.18052/www.scipress.com/ILNS.78.1
[5] Molden, D., Oweis, T.Y., Pasquale, S., 2007. Pathways for increasing agricultural water productivity. In: Molden, D. (ed.). Water for food, water for life: A Comprehensive Assessment of Water Management in Agriculture. International Water Management Institute (IWMI): London, UK. pp. 279–310.
[6] Ward, J., Robinson, M., 2000. A GIS-based approach for modeling water resources in a changing environment. Water Resources Research. 36(12), 3487–3501.
[7] Kinthada, N.R., Gurram, M.K., Eedara, A., et al., 2013. Remote Sensing and GIS in the Geomorphometric Analysis of Micro-Watersheds for Hydrological Scenario Assessment and Characterisation ― A Study on Sarada River Basin, Visakhapatnam District, India. International Journal of Geomatics and Geosciences. 4(1), 195–212.
[8] Arnold, J.G., Srinivasan, R., Muttiah, R.S., et al., 1998. Large area hydrologic modeling and assessment part I: model development 1. Journal of the American Water Resources Association. 34(1), 73–89. DOI: https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
[9] Gassman, P., Williams, J., Wang, X., et al., 2009. The Agricultural Policy Environmental Extender (APEX) model: An emerging tool for landscape and watershed environmental analyses. Transactions of the ASABE. 53(3), 711–740.
[10] Kinthada, N.R., Gurram, M.K., Eadara, A., et al., 2014. Land Use/Land Cover and NDVI Analysis for Monitoring the Health of Micro-watersheds of Sarada River Basin, Visakhapatnam District, India. Journal of Geology & Geosciences. 3(2), 1000146.
[11] Arnold, J.G., Fohrer, N., 2005. SWAT 2000: Current capabilities and research opportunities in applied watershed modeling. Hydrological Processes. 19(3), 563–572. DOI: https://doi.org/10.1002/hyp.5611
[12] Maidment, D.R., Djokic, D., 2000. Hydrologic and hydraulic modeling with SWMM and HEC-RAS. Water Resources Planning and Management. 126(6), 317–325.
[13] Römkens, M.J.M., 2015. Soil erosion in the Chhattisgarh Plateau of India: The role of land use, topography, and climate. Land Degradation & Development. 26(2), 143–156.
[14] Mishra, V., 2018. Modeling soil erosion in the Indian Himalayan Region. Ecological Indicators. 92, 246–258.
[15] Jenson, S.K., Domingue, J.O., 1988. Extracting Topographic Structure from Digital Elevation Data for Geographic Information System Analysis. Photogrammetric Engineering and Remote Sensing. 54 (11), 1593–1600.
[16] Neitsch, S.L., Arnold, J.G., Kiniry, J.R., et al., 2011. Soil and Water Assessment Tool theoretical documentation: Version 2009. Texas Water Resources Institute: College Station, TX, USA.
[17] van Griensven, A.V., Meixner, T., Grunwald, S., et al., 2006. A global sensitivity analysis tool for SWAT. Journal of Hydrology. 324(1–4), 10–23.
[18] Moriasi, D.N., Arnold, J.G., Van Liew, M.W., et al., 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASAE. 50(3), 885–900. DOI: https://doi.org/10.13031/2013.23153
[19] Gosain, A.K., Rao, P.C., 2003. A methodology for the assessment of water resources in the monsoon-driven river basins of India. Water Resources Management. 17(4), 313–327.
[20] Chow, V.T., Maidment, D.R., Mays, L.W., 1988. Applied Hydrology. McGraw-Hill: New York, NY, USA.
[21] Vörösmarty, C.J., Green, P., Salisbury, J., et al., 2000. Global water resources: Vulnerability from climate change and population growth. Science. 289(5477), 284–288. DOI: https://doi.org/10.1126/science.289.5477.284