Assessing Hydrological Impacts of Deforestation and Land Use Change in the Tel River Basin
DOI:
https://doi.org/10.58825/jog.2026.20.2.346Keywords:
Land Use Land Cover Change (LULCC), Deforestation, Variable Infiltration Capacity (VIC) Model, Water Balance, Tel River Basin, Hydrological ModellingAbstract
Land use and land cover changes (LULCC) alter catchment hydrology by changing how water moves between the land surface and the atmosphere. This study examines how land use change between 1985 and 2015 affected the water balance of the Tel River basin, a sub-basin of the Mahanadi system in eastern India. Land cover maps for 1985, 1995, and 2005 were obtained from the national decadal LULC database, and a 2015 map was prepared from Landsat 8 imagery using a Random Forest classifier on Google Earth Engine (GEE) and later validated against NRSC data. The 2015 map reached an overall accuracy of 78.6 % (Kappa 0.68) against independent reference data. Forest and agriculture were mapped reliably, while the smaller classes of built-up land, bare land, and water body were combined into one less reliable category. Hydrological response was simulated with the Variable Infiltration Capacity (VIC) model for 1980 to 2018, using a one-factor-at-a-time design that holds climate constant so that only land use varies. Forest cover fell by 13.02% over the period, with most of the loss going to agriculture (about 1575 km2). With climate held fixed, lower evapotranspiration (about 16 mm/year, or 1.7%) was passed almost entirely into higher surface runoff (about 7 mm, 2.0%) and higher base flow (about 9 mm, 4.6%), while long-term soil water storage stayed essentially unchanged. A pixel-level analysis shows that runoff rises in some parts of the basin and falls in others, so the basin average understates the local change in flood and erosion risk. The results point to the value of catchment-scale water management that accounts for where land use is changing within the basin.
References
Abdulla Fayez, A., D. P. Lettenmaier, E. F. Wood, and S. J. A. 1996. “Application of a Macroscale Hydrologic Model to Estimate the Water Balance of Catchments across Southeast Australia.” 101(D3):7449–7459.
ASCE. 1993. “Criteria for Evaluation of Watershed Models” by the ASCE Task Committee on Definition of Criteria for Evaluation of Watershed Models of the Watershed Management Committee, Irrigation and Drainage Division. 119(3):429–442. https://doi.org/10.1061/(ASCE)0733-9437(1993)119:3(429)
Behera, M. D., P. Tripathi, P. Das, S. K. Srivastava, P. S. Roy, C. Joshi, P. R. Behera, J. Deka, P. Kumar, M. L. Khan, O. P. Tripathi, T. Dash, and Y. V. N. Krishnamurthy. 2018. “Remote Sensing Based Deforestation Analysis in Mahanadi and Brahmaputra River Basin in India since 1985.” Journal of Environmental Management 206:1192–1203. https://doi.org/10.1016/j.jenvman.2017.10.015
Berihun, M. L., A. Tsunekawa, N. Haregeweyn, D. T. Meshesha, E. Adgo, M. Tsubo, T. Masunaga, A. A. Fenta, D. Sultan, M. Yibeltal, and K. Ebabu. 2019. “Hydrological Responses to Land Use/Land Cover Change and Climate Variability in Contrasting Agro-Ecological Environments of the Upper Blue Nile Basin, Ethiopia.” Science of the Total Environment 689:347–365. https://doi.org/10.1016/j.scitotenv.2019.06.338
Bonan, G. B. 2008. “Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests.” Science 320(5882):1444–1449. https://doi.org/10.1126/science.1155121
Bosch, J. M., and J. D. Hewlett. 1982. “A Review of Catchment Experiments to Determine the Effect of Vegetation Changes on Water Yield and Evapotranspiration.” Journal of Hydrology 55(1–4):3–23. https://doi.org/10.1016/0022-1694(82)90117-2
Breiman, L. 2001. “Random Forests.” Machine Learning 45(1):5–32. https://doi.org/10.1023/A:1010933404324
Bruijnzeel, L. A. 2004. “Hydrological Functions of Tropical Forests: Not Seeing the Soil for the Trees.” 104. https://doi.org/10.1016/j.agee.2004.01.015
Chen, Y., J. Niu, S. Kang, and X. Zhang. 2018. “Effects of Irrigation on Water and Energy Balances in the Heihe River Basin Using VIC Model under Different Irrigation Scenarios.” Science of the Total Environment 645:1183–1193. https://doi.org/10.1016/j.scitotenv.2018.07.254
Cherkauer, K. A., L. C. Bowling, and D. P. Lettenmaier. 2003. “Variable Infiltration Capacity Cold Land Process Model Updates.” Global and Planetary Change 38(1):151–159. https://doi.org/10.1016/S0921-8181(03)00025-0
Connor, J. C. O., S. C. Dekker, A. Staal, O. A. Tuinenburg, K. T. Rebel, and M. J. Santos. 2021. “Forests Buffer against Variations in Precipitation.” 4686–4696. https://doi.org/10.1111/gcb.15763
Cortes, C., and V. Vapnik. 1995. “Support-Vector Networks.” Machine Learning 20(3):273–297. https://doi.org/10.1007/BF00994018
Cosby, B. J., G. M. Hornberger, R. B. Clapp, and T. R. Ginn. 1984. “A Statistical Exploration of the Relationships of Soil Moisture Characteristics to the Physical Properties of Soils.” Water Resources Research 20(6):682–690. https://doi.org/10.1029/WR020i006p00682
Crompton, O. 2019. “Emulation of the Saint Venant Equations Enables Rapid and Accurate Predictions of Infiltration and Overland Flow Velocity on Spatially Heterogeneous Surfaces.” https://doi.org/10.1029/2019WR025146
Dadhwal, V. K., S. P. Aggarwal, and N. Mishra. 2010. “Hydrological Simulation of Mahanadi River Basin and Impact of Land Use/Land Cover Change on Surface Runoff Using a Macro Scale Hydrological Model.”
Farr, T., P. Rosen, E. Caro, R. Crippen, R. Duren, S. Hensley, M. Kobrick, M. Paller, E. Rodriguez, L. Roth, D. Seal, S. Shaffer, J. Shimada, J. Umland, M. Werner, M. Oskin, D. Burbank, and D. Alsdorf. 2007. “The Shuttle Radar Topography Mission.” Reviews of Geophysics 45. https://doi.org/10.1029/2005RG000183
Franchini, M., and M. Pacciani. 1991. “Comparative Analysis of Several Conceptual Rainfall-Runoff Models.” Journal of Hydrology 122(1):161–219. https://doi.org/10.1016/0022-1694(91)90178-K
Garg, V., S. P. Aggarwal, P. K. Gupta, B. R. Nikam, P. K. Thakur, S. K. Srivastav, and A. Senthil Kumar. 2017. “Assessment of Land Use Land Cover Change Impact on Hydrological Regime of a Basin.” Environmental Earth Sciences 76(18):635. https://doi.org/10.1007/s12665-017-6976-z
Garg, V., B. R. Nikam, P. K. Thakur, S. P. Aggarwal, P. K. Gupta, and S. K. Srivastav. 2019. “Human-Induced Land Use Land Cover Change and Its Impact on Hydrology.” HydroResearch 1:48–56. https://doi.org/10.1016/j.hydres.2019.06.001
Gashaw, T., T. Tulu, M. Argaw, and A. W. Worqlul. 2018. “Modeling the Hydrological Impacts of Land Use/Land Cover Changes in the Andassa Watershed, Blue Nile Basin, Ethiopia.” Science of the Total Environment 619–620:1394–1408. https://doi.org/10.1016/j.scitotenv.2017.11.191
Ghimire, U., S. Shrestha, S. Neupane, S. Mohanasundaram, and O. Lorphensri. 2021. “Climate and Land-Use Change Impacts on Spatiotemporal Variations in Groundwater Recharge: A Case Study of the Bangkok Area, Thailand.” Science of the Total Environment 792:148370. https://doi.org/10.1016/j.scitotenv.2021.148370
Guru, N., and R. Jha. 2015. “Flood Frequency Analysis of Tel Basin of Mahanadi River System, India Using Annual Maximum and POT Flood Data.” Aquatic Procedia 4:427–434. https://doi.org/10.1016/j.aqpro.2015.02.057
Hengade, N., and T. I. Eldho. 2019. “Relative Impact of Recent Climate and Land Cover Changes in the Godavari River Basin, India.” Journal of Earth System Science 128(4):94. https://doi.org/10.1007/s12040-019-1135-4
Kayitesi, N. M., A. C. Guzha, and G. Mariethoz. 2022. “Impacts of Land Use Land Cover Change and Climate Change on River Hydro-Morphology—A Review of Research Studies in Tropical Regions.” Journal of Hydrology 615(PA):128702. https://doi.org/10.1016/j.jhydrol.2022.128702
Kumari, N., A. Srivastava, B. Sahoo, N. S. Raghuwanshi, and D. Bretreger. 2021. “Identification of Suitable Hydrological Models for Streamflow Assessment in the Kangsabati River Basin, India, by Using Different Model Selection Scores.” Natural Resources Research 30(6):4187–4205. https://doi.org/10.1007/s11053-021-09919-0
Liang, X., D. P. Lettenmaier, E. F. Wood, and S. J. Burges. 1994a. “A Simple Hydrologically Based Model of Land Surface Water and Energy Fluxes for General Circulation Models.” Journal of Geophysical Research: Atmospheres 99(D7):14415–14428. https://doi.org/10.1029/94JD00483
Liang, X., D. P. Lettenmaier, E. F. Wood, and S. J. Burges. 1994b. “A Simple Hydrologically Based Model of Land Surface Water and Energy Fluxes for General Circulation Models.” Journal of Geophysical Research 99(D7). https://doi.org/10.1029/94JD00483
Liang, X., D. P. Lettenmaier, and E. F. Wood. 1996. “One-Dimensional Statistical Dynamic Representation of Subgrid Spatial Variability of Precipitation in the Two-Layer Variable Infiltration Capacity Model.” 101(1):403–4022.
Lohmann, D., R. Nolte-Holube, and E. Raschke. 1996. “A Large-Scale Horizontal Routing Model to Be Coupled to Land Surface Parametrization Schemes.” Tellus, Series A: Dynamic Meteorology and Oceanography 48(5):708–721. https://doi.org/10.3402/tellusa.v48i5.12200
Mishra, S. S., and R. Nagarajan. 2011. “Spatio-Temporal Drought Assessment in Tel River Basin Using Standardized Precipitation Index (SPI) and GIS.” Geomatics, Natural Hazards and Risk 2(1):79–93. https://doi.org/10.1080/19475705.2010.533703
Moriasi, D. N., J. G. Arnold, M. W. Van Liew, R. L. Bingner, R. D. Harmel, and T. L. Veith. 2007. “Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations.” 50(3):885–900.
Muñoz-Sabater, J., E. Dutra, A. Agustí-Panareda, C. Albergel, G. Arduini, G. Balsamo, S. Boussetta, M. Choulga, S. Harrigan, H. Hersbach, B. Martens, D. G. Miralles, M. Piles, N. J. Rodríguez-Fernández, E. Zsoter, C. Buontempo, and J.-N. Thépaut. 2021. “ERA5-Land: A State-of-the-Art Global Reanalysis Dataset for Land Applications.” Earth System Science Data. https://doi.org/10.5194/essd-2021-82
Nachtergaele, F., H. Van Velthuizen, D. Wiberg, and M. Henry. 2023. Harmonized World Soil Database Version 2.0. https://doi.org/10.4060/cc3823en
Naha, S., M. A. Rico-Ramirez, and R. Rosolem. 2021. “Quantifying the Impacts of Land Cover Change on Hydrological Responses in the Mahanadi River Basin in India.” Hydrology and Earth System Sciences 25(12):6339–6357. https://doi.org/10.5194/hess-25-6339-2021
Niemeyer, R. J., Y. Cheng, Y. Mao, J. R. Yearsley, and B. Nijssen. 2018. “A Thermally Stratified Reservoir Module for Large-Scale Distributed Stream Temperature Models with Application in the Tennessee River Basin.” Water Resources Research 54(10):8103–8119. https://doi.org/10.1029/2018WR022615
Nikam, B. R., V. Garg, K. Jeyaprakash, P. K. Gupta, S. K. Srivastav, P. K. Thakur, and S. P. Aggarwal. 2018. “Analyzing Future Water Availability and Hydrological Extremes in the Krishna Basin under Changing Climatic Conditions.” Arabian Journal of Geosciences 11(19):581. https://doi.org/10.1007/s12517-018-3936-1
Ogden, F. L., T. D. Crouch, R. F. Stallard, and J. S. Hall. 2013. “Effect of Land Cover and Use on Dry Season River Runoff, Runoff Efficiency, and Peak Storm Runoff in the Seasonal Tropics of Central Panama.” 49:8443–8462. https://doi.org/10.1002/2013WR013956
Patidar, N., and M. D. Behera. 2019. “How Significantly Do Land Use and Land Cover (LULC) Changes Influence the Water Balance of a River Basin? A Study in Ganga River Basin, India.” Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 89(2):353–365. https://doi.org/10.1007/s40010-017-0426-x
Quinlan, J. R. 1986. “Induction of Decision Trees.” Machine Learning 1(1):81–106. https://doi.org/10.1007/BF00116251
Reynolds, C. A., T. J. Jackson, and W. J. Rawls. “Estimating Soil Water-Holding Capacities by Linking the Food and Agriculture…” [Reference incomplete in the supplied source.]
Roy, P., A. Roy, P. Joshi, M. Kale, V. Srivastava, S. Srivastava, R. Dwevidi, C. Joshi, M. Behera, P. Meiyappan, Y. Sharma, A. Jain, J. Singh, Y. Palchowdhuri, R. Ramachandran, B. Pinjarla, V. Chakravarthi, N. Babu, M. Gowsalya, … D. Kushwaha. 2015. “Development of Decadal (1985–1995–2005) Land Use and Land Cover Database for India.” Remote Sensing 7(3):2401–2430. https://doi.org/10.3390/rs70302401
Shrestha, R. R., M. A. Schnorbus, A. T. Werner, and A. J. Berland. 2012. “Modelling Spatial and Temporal Variability of Hydrologic Impacts of Climate Change in the Fraser River Basin, British Columbia, Canada.” Hydrological Processes 26(12):1840–1860. https://doi.org/10.1002/hyp.9283
Sulamo, M. A., A. K. Kassa, and N. T. Roba. 2021. “Evaluation of the Impacts of Land Use/Cover Changes on Water Balance of Bilate Watershed, Rift Valley Basin, Ethiopia.” Water Practice and Technology 16(4):1108–1127. https://doi.org/10.2166/wpt.2021.063
Tan, S., H. Wang, I. C. Prentice, and K. Yang. 2021. “Land-Surface Evapotranspiration Derived from a First-Principles Primary Production Model.” [Publication details incomplete in the supplied source.]
Tavakoly, A. A., A. D. Snow, C. H. David, M. L. Follum, D. R. Maidment, and Z.-L. Yang. 2017. “Continental-Scale River Flow Modeling of the Mississippi River Basin Using High-Resolution NHDPlus Dataset.” Journal of the American Water Resources Association 53(2):258–279. https://doi.org/10.1111/1752-1688.12456
Verma, N., R. K. Patel, and P. Choudhari. 2022. “Watershed Prioritization for Soil Conservation in a Drought-Prone Watershed of Eastern India: Tel River Basin, Odisha.” Geology, Ecology, and Landscapes:1–14. https://doi.org/10.1080/24749508.2021.2022830
Zamani Sabzi, H., H. A. Moreno, R. Fovargue, X. Xue, Y. Hong, and T. M. Neeson. 2019. “Comparison of Projected Water Availability and Demand Reveals Future Hotspots of Water Stress in the Red River Basin, USA.” Journal of Hydrology: Regional Studies 26:100638. https://doi.org/10.1016/j.ejrh.2019.100638
Zhang, L., W. R. Dawes, and G. R. Walker. 2001. “Response of Mean Annual Evapotranspiration to Vegetation Changes at Catchment Scale.” 37(3):701–708.
Zhao, L., X. Fan, and T. Hong. 2025. “Urban Heat Island Effect: Remote Sensing Monitoring and Assessment—Methods, Applications, and Future Directions.” 1–55.
Zhao, R.-J. 1980. “The Xinanjiang Model.” Proceedings of the Oxford Symposium.
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