Impact of LULC change on the runoff, base flow and evapotranspiration dynamics in eastern Indian river basins during 1985–2005 using variable infiltration capacity approach
- 233 Downloads
As a catchment phenomenon, land use and land cover change (LULCC) has a great role in influencing the hydrological cycle. In this study, decadal LULC maps of 1985, 1995, 2005 and predicted-2025 of the Subarnarekha, Brahmani, Baitarani, Mahanadi and Nagavali River basins of eastern India were analyzed in the framework of the variable infiltration capacity (VIC) macro scale hydrologic model to estimate their relative consequences. The model simulation showed a decrease in ET with 0.0276% during 1985–1995, but a slight increase with 0.0097% during 1995–2005. Conversely, runoff and base flow showed an overall increasing trend with 0.0319 and 0.0041% respectively during 1985–1995. In response to the predicted LULC in 2025, the VIC model simulation estimated reduction of ET with 0.0851% with an increase of runoff by 0.051%. Among the vegetation parameters, leaf area index (LAI) emerged as the most sensitive one to alter the simulated water balance. LULC alterations via deforestation, urbanization, cropland expansions led to reduced canopy cover for interception and transpiration that in turn contributed to overall decrease in ET and increase in runoff and base flow. This study reiterates changes in the hydrology due to LULCC, thereby providing useful inputs for integrated water resources management in the principle of sustained ecology.
KeywordsVIC model land use Mahanadi River basin hydrograph ILULC-DMP decadal scale
Thanks are due to IIRS for all the necessary facilities provided for this research work. The ILULC-DMP modeling platform provided for LULC modeling and prediction, and their expert opinion were precious and valuable.
- Aggarwal S P, Garg V, Gupta P K, Nikam B R and Thakur P K 2012 Climate and LULC change scenarios to study its impact on hydrological regime; Int. Arch Photogram Rem. Sen. Spa. Inf. Sci. (ISPRS) 39 B8.Google Scholar
- Alcamo J, Grassl H, Hoff H, Kabat P, Lansigan F, Lawford R, Lettenmaier D, Lévêque C, Meybeck M, Naiman R and Pahl-Wostl C 2005 The global water ssystem project: Science framework and implementation activities; Earth System Science Partnership, Bonn, Germany.Google Scholar
- Asrar G and Dozier J 1994 EOS: Science Strategy for the Earth Observing System; Woodbury, NY, American Institute of Physics.Google Scholar
- Babar S and Ramesh H 2015 Streamflow response to land use-land cover change over the Nethravathi River Basin, India; J. Hydrol. Eng. 20(10), https://doi.org/10.1061/(ASCE)HE1943-55840001177.
- Behera M D, Tripathi P, Das P, Srivastava S K, Roy P S, Joshi C, Behera P R, Deka J, Kumar P, Khan M L, Tripathi O P, Dash T and Krishnamurthy Y V N 2018 Remote sensing based deforestation analysis in Mahanadi and Brahmaputra river basin in India since 1985; J. Environ. Manag. 206 1192–1203.Google Scholar
- Bhagwat P P and Maity R 2013 Hydroclimatic streamflow prediction using least square-support vector regression ISH; J. Hydrol. Eng. 19(3) 320–328.Google Scholar
- Bhattacharya T, Aggarwal S P and Garg V 2013 Estimation of water balance components of Chambal River basin using a macroscale hydrology model; Int. J. Sci. Res. Pub. 3(2) 1–6.Google Scholar
- Calder I R 1992 Water Use of Eucalypts – A Review (No CONF-9102202–); John Wiley and Sons, New York, NY (United States).Google Scholar
- Collischonn B, Collischonn W and Tucci CE 2008 Daily hydrological modeling in the Amazon basin using TRMM rainfall estimates; J. Hydrometeorol. 360(1) 207–216.Google Scholar
- Dadhwal V K, Aggarwal S P and Mishra N 2010 Hydrological simulation of Mahanadi River basin and impact of land use/land cover change on surface runoff using a macro scale hydrological model; ISPRS TC VII Symposium, Vienna, Austria, IAPRS, Vol XXXVIII, Part 7B.Google Scholar
- Dhami B S and Pandey A 2013 Comparative review of recently developed hydrologic models; J. Indian Water Resour. Soc. 33(3) 34–42.Google Scholar
- Dumenil L and Todini E 1992 A rainfall-runoff scheme for use in the Hamburg climate model; In: Advances in Theoretical Hydrology; Eur. Geop. Soc. Ser. Hydrol. Sci. 1 129–157.Google Scholar
- Gao H et al. 2009 Water budget record from variable infiltration capacity (VIC) model algorithm theoretical basis document; Dept. Civil and Environmental Eng., Univ. Washington, Seattle, WA, 09–18.Google Scholar
- Garg V, Khwanchanok A, Gupta P K, Aggarwal S P, Kiriwongwattana K, Thakur P K and Nikam B R 2012 Urbanisation effect on hydrological response: A case study of Asan River Watershed, India; J. Environ. Earth Sci. 2(9) 39–50.Google Scholar
- Geethalakshmi V, Kitterod N O and Lakshmanan A 2008 A literature review on modeling of hydrological processes and feedback mechanisms on climate; CLIMARICE Report No. 2, 48 s.Google Scholar
- Koster R D, Dirmeyer P A, Guo Z C, Bonan G, Chan E, Cox P, Gordon C T, Kanae S, Kowalczyk E, Lawrence D, Liu P, Lu C H, Malyshev S, McAvaney B, Mitchell K, Mocko D, Oki T, Oleson K, Pitman A, Sud Y C, Taylor C M, Verseghy D, Vasic R, Xue Y K, Yamada T and Team G 2004 Regions of strong coupling between soil moisture and precipitation; Science 305 1138–1140.CrossRefGoogle Scholar
- Li L, Hong Y, Wang J H, Adler R F, Policelli F S, Habib S, Irwn D, Korme T and Okello L 2009a Evaluation of the real-time TRMM-based multi-satellite precipitation analysis for an operational flood prediction system in Nzoia Basin, Lake Victoria; Africa Nat. Hazards 50 109–123, https://doi.org/10.1007/s11069-008-9324-5.CrossRefGoogle Scholar
- Marengo J A 2006 On the hydrological cycle of the Amazon Basin: A historical review and current state-of-the-art; Rev. Bras. Meteorol. 21(3) 1–9.Google Scholar
- Markstrom S L, Regan R S, Hay L E, Viger R J, Webb R M T, Payn R A and LaFontaine J H 2015 PRMS-IV, the precipitation-runoff modeling system; Ver. 4, US Geological Survey Techniques and Methods.Google Scholar
- Mishra N 2008 Macroscale hydrological modelling and impact of land cover change on streamflows of the Mahanadi River Basin; M. Tech. dissertation, Indian Institute of Remote Sensing (ISRO).Google Scholar
- Muñoz-Arriola F, Avissar R, Zhu C and Lettenmaier D P 2009 Sensitivity of the water resources of Rio Yaqui Basin, Mexico, to agriculture extensification under multiscale climate conditions; Water Resour. Res. 45(11), https://doi.org/10.1029/2007WR006783.
- Nash J E and Sutcliffe J V 1970 River flow forecasting through conceptual models. Part I: A discussion of principles; J. Hydrol. 10 282–290.Google Scholar
- Patidar N and Behera M D 2018 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; Proc. Nat. Acad. Sci., India. Sect. A. Phis. Sci., https://doi.org/10.1007/s40010-017-0426-x.
- Singh V K 2014 An algorithm development using agent-based modeling and simulation for land use land cover change under geospatial framework; Doctoral dissertation, Indian Institute of Remote Sensing (ISRO), Dehradun, 90p.Google Scholar
- Schilling K E, Jha M K, Zhang Y K, Gassman P W and Wolter C F 2008 Impact of land use and land cover change on the water balance of a large agricultural watershed: Historical effects and future directions; Water Resour. Res. 44(7), https://doi.org/10.1029/2007WR006644.
- Shi X, Wild M and Lettenmaier D P 2010 Surface radiative fluxes over the pan-Arctic land region: Variability and trends; J. Geophys. Res. Atmos. 115(D22), https://doi.org/10.1029/2010JD014402.
- Zhao R J, Zhang Y L and Fang L R 1980 The Xinanjiang model; In: Hydrological Forecasting Proceedings; Oxford 129 351–356.Google Scholar