Abstract
Since many complex environmental problems are linked to the hydrologic cycle, a better understanding of water balance can help us take more effective decisions for environmental challenges. A model is a tool that artfully combines available observations with our fundamental knowledge to describe the behavior of the system through implementation of scientific methods. Water balance models describe computational aspects of water movement through the water cycle. In environmental problems, our datasets are not complete, however recent advances in water balance modelling provides improved capabilities to conceptualize the hydrological system as an underlying infrastructure for environmental modeling. These developments have coincided with advances in geographic information system and further public availability of remotely sensed data. Recent freely available spatial datasets are considered a fortunate event for environmental modelers. This chapter and the sections herein are designed to outline the current modern view of water balance modelling. In addition to the general concepts about water balance modelling, this chapter explains how water balance models can be used for environmental modelling.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abdollahi K (2015) Basin scale water balance modeling for variable hydrological regimes and temporal scales. PhD Dissertation, Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Brussels, p 173
Abdollahi K, Bashir I, Verbeiren B, Harouna MR, Van Griensven A, Huysmans M, Batelaan O (2017) A distributed monthly water balance model: formulation and application on Black Volta Basin. Environ Earth Sci 76(5):198
Abu-Saleem A, Al-Zubi Y, Rimawi O, Al-Zubi J, Alouran N (2010) Estimation of water balance components in the Hasa basin with GIS based WetSpass model. Agron J 9(3):119–125
Al Kuisi M, El-Naqa A (2013) GIS based spatial groundwater recharge estimation in the Jafr basin, Jordan–application of WetSpass models for arid regions. Rev Mex Cienc Geol 30(1):96–109
Arnold JG, Muttiah RS, Srinivasan R, Allen PM (2000) Regional estimation of base-flow and groundwater recharge in the Upper Mississippi river basin. J Hydrol 227(1):21–40
Ampe EM, Vanhamel I, Salvadore E, Dams J, Bashir I, Demarchi L, Batelaan O (2012) Impact of urban land-cover classification on groundwater recharge uncertainty. IEEE J Sel Topics Appl Earth Observ Remote Sens 99:1–9
Asheesh M (2007) Allocating gaps of shared water resources (scarcity index): case study on Palestine-Israel. In: Water resources in the Middle East. Springer, Berlin/Heidelberg, pp 241–248
Balek J (1989) Analysis and synthesis of the water balance components. In: Groundwater resources 281 assessment. Developments in water science, vol 38. Elsevier, pp 61–89
Batelaan O, Smedt FD (2001) WetSpass: a flexible, GIS based, distributed recharge methodology for regional groundwater modeling. In: Proceedings of a symposium held during the Sixth IAHS Scientific Assembly at Maastricht, July 2001, IAHS Publication 269, pp 11–17
Batelaan O, De Smedt F (2007) GIS-based recharge estimation by coupling surface–subsurface water balances. J Hydrol 337(3):337–355
Batelaan O, Wang Zhong-Min, De Smedt F (1996) An adaptive GIS toolbox for hydrological modelling. In: Kovar K, Nachtnebel HP (eds) Application of geographic information systems in hydrology and water resources management. IAHS publication, vol 235. IAHS Press, Wallingford, pp 3–9
Batelaan O, De Smedt F, Triest L (2002) A methodology for mapping regional groundwater discharge dependent ecosystems. In: Schmitz GH (ed) Proceedings of third international conference on water resources and environment research, Vol II. Dresden, pp 311–315, 22–25 July
Batelaan O, De Smedt F, Triest L (2003) Regional groundwater discharge: phreatophyte mapping, groundwater modelling and impact analysis of land-use change. J Hydrol 275(1–2):86–108
Blöschl G, Ardoin-Bardin S, Bonell M, Dorninger M, Goodrich D, Gutknecht D, Matamoros D, Merz B, Shand P, Szolgay J (2007) At what scales do climate variability and land cover change impact on flooding and low flows? Hydrol Process 21(9):1241–1247
Botter G, Basso S, Rodriguez-Iturbe I, Rinaldo A (2013) Resilience of river flow regimes. Proc Natl Acad Sci 110(32):12925–12930
Chow VT, Maidment DR, Mays LW (1988) Applied hydrology. McGraw-Hill, 570 pp
De Groen MM (2002) Modelling interception and transpiration at monthly time steps introducing daily variability through Markov chains. PhD dissertation, IHE-Delft, Swets and Zeitlinger, Lisse, 211 pp
De Groen MM, Savenije HH (2006) A monthly interception equation based on the statistical characteristics of daily rainfall. Water Resour Res 42(12):W12417. https://doi.org/10.1029/2006WR005013
Gebreyohannes T, De Smedt F, Walraevens K, Gebresilassie S, Hussien A, Hagos M, Gebrehiwot K (2013) Application of a spatially distributed water balance model for assessing surface water and groundwater resources in the Geba basin, Tigray, Ethiopia. J Hydrol 499:110–123
Hoogeveen J, Faures JM, Peiser L, Van de Giesen NC, Burke J (2015) GlobWat–a global water balance model to assess water use in irrigated agriculture (discussion paper). Hydrol Earth Syst Sci Discuss 12:2015
Kneis D (2015) A lightweight framework for rapid development of object-based hydrological model engines. Environ Model Softw 68:110–121
Korzoun VI, Sokolov AA (1978) World water balance and water resources of the earth. Water Development, Supply and Management, United Nations Educational, Scientific and Cultural Organization, 75 – Paris (France). International Hydrological Decade, Moscow (USSR). USSR National Committee
Luu TNM, Garnier J, Billen G, Orange D, Némery J, Le TPQ, … Le LA (2010) Hydrological regime and water budget of the Red River Delta (Northern Vietnam). J Asian Earth Sci 37(3):219–228
Lytle DA, Poff NL (2004) Adaptation to natural flow regimes. Trends Ecol Evol 19(2):94–100
Manfreda S, Fiorentino M, Iacobellis V (2005) DREAM: a distributed model for runoff, evapotranspiration, and antecedent soil moisture simulation. Adv Geosci 2(2):31–39
Melki A, Abdollahi K, Fatahi R, Abida H (2017) Groundwater recharge estimation under semi arid climate: case of Northern Gafsa watershed, Tunisia. J Afr Earth Sci 132:37–46
Merritt DM, Wohl EE (2002) Processes governing hydrochory along rivers: hydraulics, hydrology, and dispersal phenology. Ecol Appl 12(4):1071–1087
Merz SK (2006) Stocktake and analysis of Australia’s water accounting practice final report to Department of Agriculture, Fisheries and Forestry
Middelkoop H, Daamen K, Gellens D, Grabs W, Kwadijk JC, Lang H, … Wilke K (2001) Impact of climate change on hydrological regimes and water resources management in the Rhine basin. Clim Chang 49(1):105–128
Mogheir Y, Ajjur S (2013) Effects of climate change on groundwater resources (Gaza strip case study). Int J Sustain Energy Environ 1:136–149
Murdoch PS, Shanley JB (2006) Flow-specific trends in river-water quality resulting from the effects of the clean air act in three mesoscale, forested river basins in the northeastern United States through 2002. Environ Monit Assess 120(1):1–25
Mustafa SMT, Abdollahi K, Verbeiren B, Huysmans M (2017) Identification of the influencing factors on groundwater drought and depletion in north-western Bangladesh. Hydrogeol J 25(5):1357–1375
Oki T, Kanae S (2006) Global hydrological cycles and world water resources. Science 313(5790):1068–1072
Pengra B (2012) The drying of Iran’s Lake Urmia and its environmental consequences. UNEP-GRID, Sioux Falls, UNEP Global Environmental Alert Service (GEAS)
Porporato A, Daly E, Rodriguez-Iturbe I (2004) Soil water balance and ecosystem response to climate change. Am Nat 164(5):625–632
Shiklomanov IA (1998) World water resources: a new appraisal and assessment for the 21st century: a summary of the monograph World water resources. Unesco, Paris
Smakhtin V (2004) Taking into account environmental water requirements in global-scale water resources assessments, vol 2. IWMI, Colombo
Szilagyi J (2013) Recent updates of the calibration-free evapotranspiration mapping (CREMAP) method. In: Evapotranspiration-an overview. InTech, Rijeka
Thompson SE, Harman CJ, Troch PA, Brooks PD, Sivapalan M (2011) Spatial scale dependence of ecohydrologically mediated water balance partitioning: a synthesis framework for catchment ecohydrology. Water Resour Res 47(10):W00J03
Wang X, Pullar D (2005) Describing dynamic modelling for landscapes with vector map algebra in GIS. Comput Geosci 31(8):956–967
Wang ZM, Batelaan O, De Smedt F (1996) A distributed model for water and energy transfer between soil, plants and atmosphere (WetSpa). Phys Chem Earth 21(3):189–193
Wisser D, Frolking S, Douglas EM, Fekete BM, Vörösmarty CJ, Schumann AH (2008) Global irrigation water demand: variability and uncertainties arising from agricultural and climate data sets. Geophys Res Lett 35(24):1–5
Zeinoddini M, Bakhtiari A, Ehteshami M (2015) Long-term impacts from damming and water level manipulation on flow and salinity regimes in Lake Urmia, Iran. Water Environ J 29(1):71–87
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this entry
Cite this entry
Abdollahi, K., Bazargan, A., McKay, G. (2019). Water Balance Models in Environmental Modeling. In: Hussain, C. (eds) Handbook of Environmental Materials Management. Springer, Cham. https://doi.org/10.1007/978-3-319-73645-7_119
Download citation
DOI: https://doi.org/10.1007/978-3-319-73645-7_119
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-73644-0
Online ISBN: 978-3-319-73645-7
eBook Packages: Chemistry and Materials ScienceReference Module Physical and Materials ScienceReference Module Chemistry, Materials and Physics