Abstract
Land use and land cover (LULC) change has one of the key modes of human modifications and has raised several queries related to its impact on hydrology and climate. Since the LULC plays a vital role in partitioning energy and water fluxes at the land surface into different components, the changes in LULC can impact the water and energy cycles to a significant level. However, at a basin scale, the severity of such consequences depends on the scale, type, and heterogeneity of LULC changes. An assessment of the impacts of LULC change on hydrology in three major river basins—Brahmaputra, Ganga, and Mahanadi of India is performed in this study using the variable infiltration capacity (VIC) model, a physically-based distributed hydrological model. The assessment reveals an important compensating effect in the hydrologic changes resulted from LULC transformations. The negative consequences (e.g., increased surface runoff due to urbanization) at one place are compensated by opposite positive changes (e.g., decreased surface runoff due to forest plantation) at other places at the basin scale. Such compensation leads to insignificant hydrologic changes at the basin scale; however, the consequences are significant at the local and sub-basin scales.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ashagrie AG, De Laat PJM, De Wit MJM, Tu M, Uhlenbrook S (2006) Detecting the influence of land use changes on floods in the Meuse River Basin—the predictive power of a ninety-year rainfall-runoff relation. Hydrol Earth Syst Sci 3(2):529–559. https://doi.org/10.5194/hessd-3-529-2006
Behera MD, Patidar N, Chitale VS, Behera N, Gupta D, Matin S, Tare V, Sen DJ, Panda SN (2014) Increase in agricultural patch contiguity over the past three decades in Ganga River Basin, India. Curr Sci 107(3):502–511
Behera MD, Tripathi P, Das P, Srivastava SK, Roy PS, Joshi C, Behera PR, Deka J, Kumar P, Khan ML, Tripathi OP, Dash T, Krishnamurthy YVN (2018) Remote sensing based deforestation analysis in Mahanadi and Brahmaputra river basin in India since 1985. J Environ Manage 206:1192–1203. https://doi.org/10.1016/j.jenvman.2017.10.015
Bloschl G, Ardoin-Bardin S, Bonell M, Dorninger M, Goodrich D, Gutknecht D, Matamoros D, Merz B, Shand P, Jan S (2007) At what scales do climate variability and land cover change impact on flooding and low flows? Hydrol Process 21:1241–1247. https://doi.org/10.1002/hyp
Bosmans JHC, Van Beek LPH, Sutanudjaja EH, Bierkens MFP (2017) Hydrological impacts of global land cover change and human water use. Hydrol Earth Syst Sci 21(11):5603–5626. https://doi.org/10.5194/hess-21-5603-2017
Cosby BJ, Hornberger GM, Clapp RB, Ginn TR (1984) A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils. Water Resour Res 20(6):682–690. https://doi.org/10.1029/WR020i006p00682
Das P, Behera MD, Pal S, Chowdary VM, Behera PR, Singh TP (2020) Studying land use dynamics using decadal satellite images and Dyna-CLUE model in the Mahanadi River basin, India. Environ Monit Assess 191(3):804. https://doi.org/10.1007/s10661-019-7698-3
Das P, Behera MD, Patidar N, Sahoo B, Tripathi P, Behera PR, Srivastava SK, Roy PS, Thakur P, Agrawal SP (2017) Changes in evapotranspiration, runoff and baseflow with LULC change in Eastern Indian River basins during 1985–2005 using variable infiltration capacity approach. In: 38th Asian conference on remote sensing—space applications: touching human lives, ACRS 2017
Dawes W, Ali R, Varma S, Emelyanova I, Hodgson G, McFarlane D (2012) Modelling the effects of climate and land cover change on groundwater recharge in south-west Western Australia. Hydrol Earth Syst Sci 16(8):2709–2722. https://doi.org/10.5194/hess-16-2709-2012
Gao H, Tang Q, Shi X, Zhu C, Bohn T, Su F, Sheffield J, Pan M, Lettenmaier D, Wood EF(2009) Water Budget record from variable infiltration capacity (VIC) model algorithm theoretical basis document. Department of Civil and Environmental Engineering, University of Washington, Seattle, WA
Ghimire CP, Bruijnzeel LA, Lubczynski MW, Bonell M (2014) Negative trade-off between changes in vegetation water use and infiltration recovery after reforesting degraded pasture land in the Nepalese Lesser Himalaya. Hydrol Earth Syst Sci 18(12):4933–4949. https://doi.org/10.5194/hess-18-4933-2014
Jacobson CR (2011) Identification and quantification of the hydrological impacts of imperviousness in urban catchments: a review. J Environ Manage 92(6):1438–1448. https://doi.org/10.1016/j.jenvman.2011.01.018
Jaksa WT, Sridhar V (2015) Effect of irrigation in simulating long-term evapotranspiration climatology in a human-dominated river basin system. Agric For Meteorol 200:109–118. https://doi.org/10.1016/j.agrformet.2014.09.008
John R, Chen J, Kim Y, Ou-yang ZT, Xiao J, Park H, Shao C, Zhang Y, Amarjargal A, Batkhshig O, Qi J (2016) Differentiating anthropogenic modification and precipitation-driven change on vegetation productivity on the Mongolian Plateau. Landsc Ecol 31(3):547–566. https://doi.org/10.1007/s10980-015-0261-x
Kalnay E, Cai M (2003) Impact of urbanization and land-use change on climate. Nature 423(6939):528–531. https://doi.org/10.1038/nature01675
Lei H, Yang D, Yang H, Yuan Z, Lv H (2015) Simulated impacts of irrigation on evapotranspiration in a strongly exploited region: a case study of the Haihe River basin, China. Hydrol Process 29(12):2704–2719. https://doi.org/10.1002/hyp.10402
Li X, Gong P, Liang L (2015) A 30-year (1984–2013) record of annual urban dynamics of Beijing City derived from Landsat data. Remote Sens Environ 166:78–90. https://doi.org/10.1016/j.rse.2015.06.007
Liu SL, Fu BJ, Lü YH, Chen LD (2002) Effects of reforestation and deforestation on soil properties in humid mountainous areas: a case study in Wolong Nature Reserve, Sichuan province, China. Soil Use Manag 18(4):376–380. https://doi.org/10.1079/sum2002148
Lohmann D, Raschke E, Nijssen B, Lettenmaier DP (1998) Regional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model. Hydrol Sci J 43(1):131–141. https://doi.org/10.1080/02626669809492107
Lohmann D, Raschke E, Nijssen B, Lettenmaier DP (1998) Regional scale hydrology: II. Application of the VIC-2L model to the Weser River, Germany. Hydrol Sci J 43(1):143–158. https://doi.org/10.1080/02626669809492108
Minnig M, Moeck C, Radny D, Schirmer M (2018) Impact of urbanization on groundwater recharge rates in Dübendorf, Switzerland. J Hydrol 563:1135–1146. https://doi.org/10.1016/j.jhydrol.2017.09.058
Mishra V, Cherkauer KA, Niyogi D, Lei M, Pijanowski BC, Ray DK, Bowling C, Yang G (2010) A regional scale assessment of land use land cover and climatic changes on water and energy cycle in the upper Midwest United States. Int J Climatol
Pai DS, Sridhar L, Rajeevan M, Sreejith OP, Satbhai NS, Mukhopadhyay B (2014) (1901–2010) daily gridded rainfall data set over India and its comparison with existing data sets over the region. Mausam 1(January):1–18
Patidar N, Behera MD (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. Proc Natl Acad Sci India Sect A Phys Sci 89(2). https://doi.org/10.1007/s40010-017-0426-x
Patidar N, Keshari AK (2020) A rule-based spectral unmixing algorithm for extracting annual time series of sub-pixel impervious surface fraction. Int J Remote Sens 41(10):3970–3992. https://doi.org/10.1080/01431161.2019.1711243
Peña-Arancibia JL, Bruijnzeel LA, Mulligan M, van Dijk AIJM (2019) Forests as ‘sponges’ and ‘pumps’: assessing the impact of deforestation on dry-season flows across the tropics. J Hydrol 574(February):946–963. https://doi.org/10.1016/j.jhydrol.2019.04.064
Raju BM, Rao KV, Venkateswarlu B, Rao AV, Rao CR, Rao VU, Rao BB, Kumar NR, Dhakar R, Swapna N, Latha P(2013) Revisiting climatic classification in India: a district-level analysis. Curr Sci 105(4):492–495
Ren-jun Z, Yi-lin Z, Le-run F, Xin-ren LIU, Quan Z (1980) The Xinanjiang model. Hydrological forecasting. Prévisions Hydrologiques 129:351–356
Rodell M, Houser PR, Jambor U, Gottschalck J, Mitchell K, Meng C-J, Arsenault K, Cosgrove B, Radakovich J, Bosilovich M, Entin JK, Walker JP, Lohmann D, Toll D (2004) The global land data assimilation system. Bull Am Meteor Soc 85(3):381–394. https://doi.org/10.1175/BAMS-85-3-381
Roy PS, Roy A, Joshi PK, Kale MP, Srivastava VK, Srivastava SK, Dwevidi RS, Joshi C, Behera MD, Meiyappan P, Sharma Y, Jain AK, Singh JS, Palchowdhuri Y, Ramachandran RM, Pinjarla B, Chakravarthi V, Babu N, Gowsalya MS, Kushwaha D (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
Schilling KE, Chan K, Liu H, Zhang Y (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. https://doi.org/10.1016/j.jhydrol.2010.04.019
Sterling SM, Ducharne A, Polcher J (2013) The impact of global land-cover change on the terrestrial water cycle. Nat Clim Chang 3(4):385–390. https://doi.org/10.1038/nclimate1690
Todini E (1996) The ARNO rainfall—runoff model. J Hydrol 175(1–4):339–382. https://doi.org/10.1016/S0022-1694(96)80016-3
Tsarouchi GM, Mijic A, Moulds S, Buytaert W (2014) Historical and future land-cover changes in the Upper Ganges basin of India. Int J Remote Sens 35(9):3150–3176. https://doi.org/10.1080/01431161.2014.903352
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. https://doi.org/10.5194/hess-17-2233-2013
Yang G, Bowling LC, Cherkauer KA, Pijanowski BC, Niyogi D (2010) Hydroclimatic response of watersheds to urban intensity: an observational and modeling-based analysis for the White River Basin, Indiana. J Hydrometeorol 11:122–138. https://doi.org/10.1175/2009JHM1143.1
Acknowledgements
The first author would like to thank the National Institute of Hydrology Roorkee, India, for providing infrastructure support while writing this chapter. Spatial Analysis and Modeling (SAM) Laboratory, CORAL, Indian Institute of Technology Kharagpur is also thankfully acknowledged for providing infrastructure support for hydrological modeling used in this study.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Patidar, N., Das, P., Tripathi, P., Behera, M.D. (2022). Covariation Between LULC Change and Hydrological Balance in River Basin Scale. In: Pandey, A., Chowdary, V.M., Behera, M.D., Singh, V.P. (eds) Geospatial Technologies for Land and Water Resources Management. Water Science and Technology Library, vol 103. Springer, Cham. https://doi.org/10.1007/978-3-030-90479-1_17
Download citation
DOI: https://doi.org/10.1007/978-3-030-90479-1_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90478-4
Online ISBN: 978-3-030-90479-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)