A Review of Conceptual Monthly Water Balance Models

آب و توسعه پایدار

Article 14, Volume 5, Issue 1 - Serial Number 10, September 2018, Pages 101-114   

Document Type: review paper

DOI: 10.22067/jwsd.v5i1.62734

Authors

Iman Sane^* ; Bahram Saghafian

Islamic Azad University, Science and Research Branch

Abstract

Water balance models are generally based on mass continuity and the hydrologic cycle of water in the natural environment. Monthly water balance models evaluate the importance of various hydrological parameters under diverse hydrological conditions. As water balance models are becoming widespread, there is a significant effort devoted to the development of these models towards estimating the hydrological components of the basin. Different models and algorithms consider various parameters which range from relatively complex conceptual models for dry areas to very simple models for areas with temperate climates. Therefore, it is essential that these models be closely and precisely analysed, and ultimately, reviewed. Generally, rainfall data have long been recorded, but discharge data are often scarce. Therefore, the need to estimate the discharge of rivers resulted from rainfalls has motivated a great number of research in this area of study. In this paper, parameter naming in different models has been homogenised, presenting a clearer image of similarities and differences among different models. The overall framework of the models is similar and inspired by the Thornth Waite model. The input parameters are precipitation and temperature, and the output is the monthly runoff of the basin. All models include soil water storage capacity, evapotranspiration, and runoff. However, some of the models consist of water storage capacity layers, separation of rain and snow, groundwater storage, and base discharge. These differences in the number of parameters distinguish the models from each other.

Keywords

Conceptual water balance model; Hydrological cycle; runoff estimation

References

Alley W. M. 1984. On the treatment of evapotranspiration, soil moisture accounting, and aquifer recharge in monthly water balance models. Water Resources Research, 20: 1137-1149.

Budyko M. 1974. Climate and Life, 508 pp. Academic Press, New York.

Guo S. 1995. Impact of climatic change on hydrological balance and water resource systems in the Dongjiang Basin, China. IAHS Publications-Series of Proceedings and Reports-Intern Assoc Hydrological Sciences, 231: 141-150.

Guo S., Chen H., Zhang H., Xiong L., Liu P., Pang B., Wang G. and Wang Y. 2005. A semi-distributed monthly water balance model and its application in a climate change impact study in the middle and lower Yellow River basin. Water international, 30: 250-260.

Guo S., Wang J., Xiong L., Ying A. and Li D. 2002. A macro-scale and semi-distributed monthly water balance model to predict climate change impacts in China. Journal of Hydrology, 268: 1-15.

Halldin S., Gryning S. E., Gottschalk L., Jochum A., Lundin L.-C. and Van de Griend A. 1999. Energy, water and carbon exchange in a boreal forest landscape-NOPEX experiences. Agricultural and Forest Meteorology, 98: 5-29.

Hamon W. R. 1960. Estimating potential evapotranspiration. Massachusetts Institute of Technology.

Karpouzos D., Baltas E., Kavalieratou S. and Babajimopoulos C. 2011. A hydrological investigation using a lumped water balance model: The Aison River Basin case (Greece). Water and Environment Journal, 25: 297-307.

Knight C. G., Chang H., Staneva M. P. and Kostov D. 2001. A simplified basin model for simulating runoff: The Struma River GIS. The Professional Geographer, 53: 533-545.

Martinez G. F. and Gupta H. V. 2010. Toward improved identification of hydrological models: A diagnostic evaluation of the “abcd” monthly water balance model for the conterminous United States. Water Resources Research, 46:W08507.

Mccabe G. J. and Markstrom S. L. 2007. A monthly water-balance model driven by a graphical user interface. Geological Survey (US).

Oldekop E. 1911. About evapotranspiration in riverine basins. Tartu [in Russian].

Palmer W. C. 1965. Meteorological drought, US Department of Commerce, Weather Bureau Washington, DC.

Rao A. R. and Al-Wagdany A. 1995. Effects of climatic change in Wabash river basin. Journal of irrigation and drainage engineering, 121: 207-215.

Saito L., Biondi F., Devkota R., Vittori J. and Salas J. D. 2015. A water balance approach for reconstructing streamflow using tree-ring proxy records. Journal of Hydrology, 529: 535-547.

Sankarasubramanian A. and Vogel R. M. 2002. Comment on the paper: Basin hydrologic response relations to distributed physiographic descriptors and climate by Karen Plaut Berger, Dara Entekhabi, 2001. Journal of Hydrology 247: 169–182.

Thomas JR H. A. 1981. Improved Methods for National tvater Assessment Water Resources Contract: WR15249270.

Thornthwaite C. W. 1948. An approach toward a rational classification of climate. Geographical review, 38: 55-94.

Thornthwaite C. W. and Mather J. R. 1957. Instructions and tables for computing potential evapotranspiration and the water balance. Drexel Institute of Technology, Centerton, NJ (EUA). Laboratory of Climatology.

Van Der Veken A. and Byloos J. 1977. A monthly water balance model including deep infiltration and canal losses/Un modèle mensuel du bilan hydrologique inclusive l'infiltration profonde et les pertes des canaux. Hydrological Sciences Journal, 22: 341-351.

Van Der Beken a. and Byloos j. 1977. A monthly water balance model including deep infiltration and canal losses/Un modèle mensuel du bilan hydrologique inclusive l'infiltration profonde et les pertes des canaux. Hydrological Sciences Journal, 22: 341-351.

Vandewiele G., Xu C. and Ni Lar W. 1993. Methodology for constructing monthly water balance on basin scale, secodnd ed. Laboratory of Hydrology, Vrije Universiteit Brussel.

Vandewiele G. and Xu C.-Y. 1992. Methodology and comparative study of monthly water balance models in Belgium, China and Burma. Journal of Hydrology, 134: 315-347.

Wang D. and Mayer L. 1993. Wbandz: AC program to calibrate the hydrologic model and calculate monthly water balance and Palmer's Z-index. Computers & Geosciences, 19: 1267-1283.

Xu C.-Y. 1999. Estimation of parameters of a conceptual water balance model for ungauged catchments. Water Resources Management, 13: 353-368.

Xu C.-Y., Seibert J. and Halldin S. 1996. Regional water balance modelling in the NOPEX area: development and application of monthly water balance models. Journal of Hydrology, 180: 211-236.

Xu C.-Y. and Singh V. P. 1998. A review on monthly water balance models for water resources investigations. Water Resources Management, 12: 20-50.

Zhang L., Potter N., Hickel K., Zhang Y. and Shao Q. 2008. Water balance modeling over variable time scales based on the Budyko framework–Model development and testing. Journal of Hydrology, 360: 117-131.