Skip to main content

Advertisement

Log in

Assessment of land use land cover change impact on hydrological regime of a basin

  • Original Article
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

The sustainability of water resources mainly depends on planning and management of land use; a small change in it may affect water yield largely, as both are linked through relevant hydrological processes, explicitly. However, human activities, especially a significant increase in population, in-migration and accelerated socio-economic activities, are constantly modifying the land use and land cover (LULC) pattern. The impact of such changes in LULC on the hydrological regime of a basin is of widespread concern and a great challenge to the water resource engineers. While studying these impacts, the issue that prevails is the selection of a hydrological model that may be able to accommodate spatial and temporal dynamics of the basin with higher accuracy. Therefore, in the present study, the capabilities of variable infiltration capacity hydrological model to hydrologically simulate the basin under varying LULC scenarios have been investigated. For the present analysis, the Pennar River Basin, Andhra Pradesh, which falls under a water scarce region in India, has been chosen. The water balance components such as runoff potential, evapotranspiration (ET) and baseflow of Pennar Basin have been simulated under different LULC scenarios to study the impact of change on hydrological regime of a basin. Majorly, increase in built-up (13.94% approx.) and decrease in deciduous forest cover (2.44%) are the significant changes observed in the basin during the last three decades. It was found that the impact of LULC change on hydrology is balancing out at basin scale (considering the entire basin, while routing the runoff at the basin outlet). Therefore, an analysis on spatial variation in each of the water balance components considered in the study was done at grid scale. It was observed that the impact of LULC is considerable spatially at grid level, and the maximum increase of 265 mm (1985–2005) and the decrease of 48 mm (1985–1995) in runoff generation at grid were estimated. On the contrary, ET component showed the maximum increase of 400 and decrease of 570 mm under different LULC change scenario. Similarly, in the base flow parameter, an increase of 70 mm and the decrease of 100 mm were observed. It was noticed that the upper basin is showing an increasing trend in almost all hydrological components as compared to the lower basin. Based on this basin scale study, it was concluded that change in the land cover alters the hydrology; however, it needs to be studied at finer spatial scale rather than the entire basin as a whole. The information like the spatial variation in hydrological components may be very useful for local authority and decision-makers to plan mitigation strategies accordingly.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Abdulla FA, Lettenmaier DP, Wood EF et al (1996) Application of a macroscale hydrologic model to estimate the water balance of the Arkansas-Red river basin. J Geophys Res 101(D3):7449–7459

    Article  Google Scholar 

  • Aggarwal SP, Garg V, Gupta PK et al (2012) Climate and LULC change scenarios to study its impact on hydrological regime. Int Archives of the Photogramm Remote Sens Spatial Inf Sci (ISPRS), XXXIX-B8, 147–152. doi:10.5194/isprsarchives-XXXIX-B8-147-2012

  • Aggarwal SP, Garg V, Gupta PK et al (2013) Runoff potential assessment over Indian landmass: a macro-scale hydrological modeling approach. Curr Sci 104(7):950–959

    Google Scholar 

  • Bosch JM, Hewlett JD (1982) A review of catchment experiments to determine the effect of vegetation changes on water yield and evapotranspiration. Jour Hydrol 55:3–23

    Article  Google Scholar 

  • Chase TN, Pielke RA Sr, Kittel TGF et al (2000) Simulated impacts of historical land cover changes on global climate in northern winter. Clim Dyn 16:93–105

    Article  Google Scholar 

  • Cherkauer KA, Lettenmaier DP (1999) Hydrologic effects of frozen soils in the upper Mississippi River basin. J Geophys Res 104(D16):19599–19610

    Article  Google Scholar 

  • Cornelissen T, Diekkrüger B, Giertz S (2013) A comparison of hydrological models for assessing the impact of land use and climate change on discharge in a tropical catchment. J Hydrol 498:221–236. doi:10.1016/j.jhydrol.2013.06.016

    Article  Google Scholar 

  • Cosby BJ, Hornberger GM, Clapp RB et al (1984) A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils. Water Resour Res 20(6):682–690

    Article  Google Scholar 

  • CWC (2015) Integrated hydrological data book (non-classified river basins). Hydrological data directorate, information system organisation, water planning, projects wing, central water commission, ministry of water resources, river development & Ganga Rejuvenation, Government of India, New Delhi

  • CWC, NRSC (2014) Pennar basin report version 2.0. Ministry of Water Resources, Government of India

  • Dadhwal VK, Aggarwal SP, Misra N (2010) Hydrological simulation of Mahanadi River Basin and impact of landuse/landcover change on surface runoff using a macro scale hydrological model. In: W Wagner, B Szekely (eds.) Proceedings of ISPRS TC VII symposium–100 years ISPRS. Vienna, Austria, July 5–7, ISPRS, XXXVIII (7B), pp. 165–170

  • DeFries R, Eshleman KN (2004) Land-use change and hydrologic processes: a major focus for the future. Hydrol Process 18:2183–2186

    Article  Google Scholar 

  • Deng Z, Zhang X, Li D, Pan G (2014) Simulation of land use/land cover change and its effects on the hydrological characteristics of the upper reaches of the Hanjiang Basin. Environ Earth Sci 73(3):1119–1132

    Article  Google Scholar 

  • Dumenil L, Todini E (1992) A rainfall-runoff scheme for use in the Hamburg climate model. In: P O’Kane (ed.) Advances in theoretical hydrology, a tribute to James Dooge. European geophysical society series on hydrological sciences 1, pp. 129–157

  • Dwarakish GS, Ganasri BP (2015) Impact of land use change on hydrological systems: a review of current modeling approaches. Cogent Geosci 1(1):1115691. doi:10.1080/23312041.2015.1115691

    Article  Google Scholar 

  • Foley JA, Kucharik CJ, Twine TE et al (2004) Land use, land cover, and climate change across the Mississippi Basin: impacts on selected land and water resources. In: RS Defries, GP Asner, RA Houghton (Eds.) Ecosystems and land use change, American Geophysical Union, Washington, DC. doi: 10.1029/153GM19

  • Gao Z, Xhang Z, Zhang X (2009) Responses of water yield to changes in vegetation at a temporal scale. Front Forestry China 4(1):53–59

    Article  Google Scholar 

  • Garg NK, Hassan Q (2007) Alarming scarcity of water in India. Curr Sci 93(7):932–941

    Google Scholar 

  • Garg V, Dhumal IR, Nikam BR et al (2016) Water resources assessment of Godavari River Basin, India. In: Proceedings of 37th Asian conference on remote sensing (ACRS-2016) on promoting spatial data infrastructure for sustainable economic development, Oct 17–22, 2016, Colombo, Sri Lanka

  • Githui F, Mutua F, Bauwens W (2009) Estimating the impacts of land-cover change on runoff using the soil and water assessment tool (SWAT): case study of Nzoia catchment. Kenya Hydrol Sci J 54(5):899–908

    Article  Google Scholar 

  • Gosain AK, Rao S, Basuray D (2006) Climate change impact assessment on hydrology of Indian river basins. Curr Sci 90(3):346–353

    Google Scholar 

  • Gosain AK, Rao S, Arora A (2011) Climate change impact assessment of water resources of India. Curr Sci 101(3):356–371

    Google Scholar 

  • Haddeland I, Lettenmaier DP, Skaugen T (2006a) Effects of irrigation on the water and energy balances of the Colorado and Mekong river basins. J Hydrol 324(1–4):210–223

    Article  Google Scholar 

  • Haddeland I, Skaugen T, Lettenmaier DP (2006b) Anthropogenic impacts on continental surface water fluxes. Geophys Res Lett 33:L08406. doi:10.1029/2006GL026047

    Article  Google Scholar 

  • Haddeland I, Skaugen T, Lettenmaier DP (2007) Hydrologic effects of land and water management in North America and Asia: 1700-1992. Hydrol Earth Syst Sci 11(2):1035–1045

    Article  Google Scholar 

  • Hurkmans RTWL, Terink W, Uijlenhoet R et al (2009) Effects of land use changes on streamflow generation in the Rhine basin. Water Resour Res 45:W06405. doi:10.1029/2008WR007574

    Article  Google Scholar 

  • Im S, Kim H, Kim C, Jang C (2009) Assessing the impacts of land use changes on watershed hydrology using MIKE SHE. Environ Geol 57:231–239

    Article  Google Scholar 

  • Jain AK, Rao BMM, Rao MSR, Swamy MV (2009) Groundwater scenario in Andhra Pradesh. Centre for economics and social studies, WASHcost report, Hyderabad, India. (Available online: http://www.cess.ac.in/cesshome/wp/WP-3-Groundwater%20Scenario%20in%20AP.PDF, Accessed on Jan 18 2016)

  • Kindu M, Schneider T, Teketay D, Knoke T (2015) Drivers of land use/land cover changes in Munessa-Shashemene landscape of the south-central highlands of Ethiopia. Environ Monit Assess 187(7):452. doi:10.1007/s10661-015-4671-7

    Article  Google Scholar 

  • Krause S, Jacobs J, Bronstert A (2007) Modelling the impacts of land-use and drainage density on the water balance of a lowland–floodplain landscape in northeast Germany. Ecol Modelling 200(3–4):475–492

    Article  Google Scholar 

  • Lambin EF, Geist HJ, Lepers E (2003) Dynamics of land-use and land-cover change in tropical regions. Annu Rev Environ Resour 28:205–241

    Article  Google Scholar 

  • Lettenmaier DP (2001) Macroscale Hydrology: Challenges and Opportunities. In: Matsuno T, Kida H (eds) Present and future of modeling global environmental change: toward integrated modeling. TERRAPUB, Tokyo, pp 111–136

    Google Scholar 

  • Liang X, Xie ZH (2003) Important factors in land-atmosphere interactions: surface runoff generations and interactions between surface and groundwater. Global Planet Change 38(1–2):101–114

    Article  Google Scholar 

  • Liang X, Lattenmaier DP, Wood EF et al (1994) A simple hydrologically based model of land surface, water, and energy flux for general circulation models. J Geophys Res 99(D7):14415–14428

    Article  Google Scholar 

  • Liang X, Guo J, Leung LR (2004) Assessment of the effects of spatial resolutions on daily water flux simulations. J Hydrol 298(1–4):287–310

    Article  Google Scholar 

  • Liu T, Fang H, Willems P et al (2013) On the relationship between historical land-use change and water availability: the case of the lower Tarim River region in northwestern China. Hydrol Process 27(2):251–261

    Article  Google Scholar 

  • Lo CP, Yang X (2002) Drivers of land-use/land-cover changes and dynamic modeling for the Atlanta, Georgia Metropolitan area. Photogramm Eng Remote Sens 68(10):1073–1082

    Google Scholar 

  • Lohmann D, Nolte-Holube R, Raschke E (1996) A large scale horizontal routing model to be coupled to land surface parameterization schemes. Tellus 48A:708–721

    Article  Google Scholar 

  • Lohmann D, Raschke E, Nijssen B et al (1998a) Regional scale hydrology: I. formulation of the VIC-2L model coupled to a routing model. Hydrol Sci J 43(1):131–141

    Article  Google Scholar 

  • Lohmann D, Raschke E, Nijssen B et al (1998b) Regional scale hydrology: II. application of the VIC-2L model to the Weser river, Germany. Hydrol Sci J 43(1):143–158

    Article  Google Scholar 

  • Mall RK, Bhatla R, Pandey SN (2007) Water resources in India and impact of climate change. Jalvigyan Sameeksha 22:157–176

    Google Scholar 

  • Matheussen B, Kirschbaum RL, Goodman IA et al (2000) Effects of land cover change on streamflow in interior Columbia River Basin (USA and Canada). Hydrol Process 14:867–885

    Article  Google Scholar 

  • Maurer EP, O’Donnell GM, Lettenmaier DP et al (2001a) Evaluation of the land surface water budget in NCEP/NCAR and NCEP/DOE reanalyses using an off-line hydrologic model. J Geophys Res 106(D16):17841–17862

    Article  Google Scholar 

  • Maurer EP, O’Donnell GM, Lettenmaier DP et al (2001b) Evaluation of NCEP/NCAR reanalysis water and energy budgets using macroscale hydrologic model simulations. In: V Lakshmi, J Albertson, J Schaake (eds) Land surface hydrology, meteorology, and climate: observations and modeling. Water Sci. Appl. 3, AGU, Washington, pp. 137–158. doi:10.1029/WS003p0137

  • Merta M, Seidler C, Bianchin S et al. (2008) Analysis of land use change in the Eastern Ore Mts. regarding both nature protection and flood prevention. Soil and Water Res 3:S105–S115 (Special Issue 1)

    Google Scholar 

  • Mujumdar PP (2008) Implications of climate change for sustainable water resources management in India. Phys Chem Earth 33:354–358

    Article  Google Scholar 

  • Mustard J, Fisher T (2004) Land Use and Hydrology. In: Gutman G et al (eds) Land change science: observing monitoring and understanding trajectories of change on the earth’s surface. Kluwer Academic Publishers, Dordrecht, pp 257–276

    Google Scholar 

  • Nie W, Yuan Y, Kepner W et al (2011) Assessing impacts of landuse and landcover changes on hydrology for the upper San Pedro watershed. J Hydrol 407(1–4):105–114

    Article  Google Scholar 

  • Niehoff D, Fritsch U, Bronstert A (2002) Land-use impacts on storm-runoff generation: scenarios of land-use change and simulation of hydrological response in a macro-scale catchment in SW-Germany. J Hydrol 267:80–93

    Article  Google Scholar 

  • Nijssen BN, Lettenmaier DP, Liang X et al (1997) Streamflow simulation for continental-scale river basins. Water Resour Res 33(4):711–724

    Article  Google Scholar 

  • Obahoundje S, Ofosu EA, Akpoti K, Kabo-bah AT (2017) Land use and land cover changes under climate uncertainty: modelling the impacts on hydropower production in Western Africa. Hydrology 4(1):2. doi:10.3390/hydrology4010002

    Article  Google Scholar 

  • Olang LO, Fürst J (2011) Effects of land cover change on flood peak discharges and runoff volumes: model estimates for the Nyando River Basin. Kenya Hydrol Process 25:80–89

    Article  Google Scholar 

  • Pai DS, Sridhar Latha, Rajeevan M et al (2014) Development of a new high spatial resolution (0.25° × 0.25°) Long period (1901–2010) daily gridded rainfall data set over India and its comparison with existing data sets over the region. Mausam 65(1):1–18

    Google Scholar 

  • Petchprayoon P, Blanken PD, Ekkawatpanit C et al (2010) Hydrological impacts of land use/land cover change in a large river basin in central–northern Thailand. Int J Climat 30(13):1917–1930. doi:10.1002/joc.2131

    Article  Google Scholar 

  • Piao S, Friedlingstein P, Ciais P et al (2007) Changes in climate and land use have a larger direct impact than rising CO2 on global river runoff trends. PNAS 104(39):15242–15247

    Article  Google Scholar 

  • Rawls WJ, Gimenez D, Grossman R (1998) Use of soil texture, bulk density, and slope of the water retention curve to predict saturated hydraulic conductivity. Trans ASABE 41(4):983–988

    Article  Google Scholar 

  • Reynolds CA, Jackson TJ, Rawls WJ (2000) Estimating soil water-holding capacities by linking the food and agriculture organization soil map of the world with global pedon databases and continuous pedotransfer functions. Water Resour Res 36(12):3653–3662

    Article  Google Scholar 

  • Sahin V, Hall MJ (1996) The effects of afforestation and deforestation on water yields. J Hydrol 178:293–309

    Article  Google Scholar 

  • Schilling KE, Jha MK, Zhang Y-K et al (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:W00A09. doi:10.1029/2007WR006644

  • Schilling KE, Chan KS, Liu H et al (2010) Quantifying the effect of land use land cover change on increasing discharge in the Upper Mississippi River. J Hydrol 387(3–4):343–345

    Article  Google Scholar 

  • Shrestha RR, Bardossy A, Rode M (2007) A hybrid deterministic-fuzzy rule based model for catchment scale nitrate dynamics. J Hydrol 342:143–156

    Article  Google Scholar 

  • Singh S, Srivastav SK, Srivastava VK et al (2010) Human dimensions of climate change: a few initiatives. Bulletin of national natural resources management system. NNRMS (B) 35:118–126

    Google Scholar 

  • Stednick JD (1996) Monitoring the effects of timber harvest on annual water yield. Jour Hydrol 176:79–95

    Article  Google Scholar 

  • Verbunt M, Groot Zwaaftink M, Gurtz J (2005) The hydrologic impact of land cover changes and hydropower stations in the Alpine Rhine basin. Ecol Modelling 187(1):71–84

    Article  Google Scholar 

  • Wagner PD, Kumar S, Schneider K (2013) An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune. India Hydrol Earth Syst Sci 17:2233–2246

    Article  Google Scholar 

  • Wang R, Kalin L (2011) Modelling effects of land use/cover changes under limited data. Ecohydrol 4:265–276. doi:10.1002/eco.174

    Article  Google Scholar 

  • Wilk J, Hughes DA (2002) Simulating the impacts of land-use and climate change on water resource availability for a large south Indian catchment. Hydrol Sci J 47(1):19–30

    Article  Google Scholar 

  • Woldesenbet TA, Elagib NA, Ribbe L, Heinrich J (2017) Hydrological responses to land use/cover changes in the source region of the Upper Blue Nile Basin, Ethiopia. Sci Total Environ 575:724–741. doi:10.1016/j.scitotenv.2016.09.124

    Article  Google Scholar 

  • Wood EF, Lettenmaier D, Liang X et al (1997) Hydrological modeling of continental-scale basins. Annu Rev Earth Planet Sci 25:279–300

    Article  Google Scholar 

  • Yuan F, Xie Z, Liu Q et al (2004) An application of the VIC-3L land surface model and remote sensing data in simulating streamflow for the Hanjiang river basin. Can J Remote Sens 30(5):680–690

    Article  Google Scholar 

  • Zhao R-J, Zhang YL, Fang LR et al (1980) The Xinanjiang model. In: Proceedings hydrological forecasting oxford symposium, IAHS, International Association of Hydrological Sciences Press, Wallingford, UK (1980), pp. 351–356

  • Zhao R, Chen Y, Shi P et al (2013) Land use and land cover change and driving mechanism in the arid inland river basin: a case study of Tarim River, Xinjiang. China Environ Earth Sci 68(2):591–604

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the authorities of Indian Space Research Organisation for providing financial grant for this research work. The work has been done under the ISRO-GBP Project on “Land Use Land Cover dynamics and impact of Human Dimension in Indian river basins”. The authors thank IMD for providing daily gridded data on rainfall and temperature and the VIC hydrological model team for their help during the course of the study. Thanks are due to LULC team for their efforts in generating LULC map for entire India and for providing the data for this particular basin. Authors would like to extend their gratitude to Ms. Asfa Siddiqui for reviewing the manuscript and correcting it for the language.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vaibhav Garg.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Garg, V., Aggarwal, S.P., Gupta, P.K. et al. Assessment of land use land cover change impact on hydrological regime of a basin. Environ Earth Sci 76, 635 (2017). https://doi.org/10.1007/s12665-017-6976-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12665-017-6976-z

Keywords

Navigation