Technical Papers
Jan 23, 2015

Assessment of Climate Change Impact on Water Balance of Forested and Farmed Catchments

Publication: Journal of Hydrologic Engineering
Volume 20, Issue 10

Abstract

Water balance modeling is commonly used to quantify the impacts of climate change on water availability over a region or a catchment. Under climate change, significant variability in precipitation and evapotranspiration would dramatically affect the catchment water balance. Changes in soil and vegetation also have large impacts on water resources. However, current water balance modeling is mainly dependent on precipitation, while evapotranspiration is a fixed proportion of precipitation. Also, the interaction of the various phases of rainfall-runoff transformation within the soil is not fully computed. This paper for the first time investigates the combined effects of precipitation and evapotranspiration on the water balance of three typical forested and farmed catchments in the Waikato basin of New Zealand. A conceptual lumped water-soil model is employed to simulate the land phase of the hydrological cycle including soil moisture and ground water recharge from rainfall and evapotranspiration at catchment scale for both historical and future time slices. Observation data from 1971 to 2000 are used for model calibration. Future data up to year 2090 is obtained from a model. Future simulations are projected accordingly. The results show that changes in precipitation and especially potential evapotranspiration have a large impact on daily streamflow even though they do not much affect runoff volume. Streamflow is projected to dramatically decrease in 2030, 2060, and 2090 in the grassed catchments, while an inconsiderable reduction is found in the forested catchment. Even though bias correction is used to improve the accuracy of the potential evapotranspiration and the resulting catchment runoff, other errors are addressed but not yet resolved. They originate from regional climate model (RCM) outputs, scenarios, data observation, and interpretation as well as model performance.

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References

Andrew, R. M., and Dymond, J. R. (2007). “A distributed model of water balance in the Motueka catchment, New Zealand.” Environ. Modell. Softw., 22(10), 1519–1528.
Archer, D. R., Forsythe, N., Fowler, H. J., and Shah, S. M. (2010). “Sustainability of water resources management in the Indus basin under changing climatic and socio economic conditions.” Hydrol. Earth Syst. Sci., 7(2), 1883–1912.
Baguis, P., Roulin, E., Willems, P., and Ntegeka, V. (2010). “Climate change scenarios for precipitation and potential evapotranspiration over central Belgium.” Theor. Appl. Clim., 99(3–4), 273–286.
Bakker, A. M. R., Hurk, B. J. J. M. V., Bessembinder, J. J. E., and Kroon, T. (2011). “Standard years for large-scale hydrological scenario simulations.” Environ. Modell. Softw., 26(6), 797–803.
Boughton, W. (2004). “The Australian water balance model.” Environ. Modell. Softw., 19(10), 943–956.
Boughton, W. (2005). “Catchment water balance modelling in Australia 1960–2004.” Agric. Water Manage., 71(2), 91–116.
Boughton, W. (2006). “Calibrations of a daily rainfall-runoff model with poor quality data.” Environ. Modell. Softw., 21(8), 1114–1128.
Boughton, W., and Chiew, F. (2007). “Estimating runoff in ungauged catchments from rainfall, PET and the AWBM model.” Environ. Modell. Softw., 22(4), 476–487.
Brauer, C. (2007). The Issel catchment: Water balance study and rainfall-runoff modeling, Wageningen Univ., Germany.
Bronsterst, A., Kolokotronis, V., Schwandt, D., and Straub, H. (2007). “Comparison and evaluation of regional climate scenarios for hydrological impact analysis: General scheme and application example.” Int. J. Climatol., 27, 1579–1594.
Chen, H., Xu, C. Y., and Guo, S. (2012). “Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoff.” J. Hydrol., 434–435, 36–45.
Comnalicer, E. A., Criz, R. V. O., Lee, S., and Im, S. (2010). “Assessing climate change impacts on water balance in the Mount Makiling forest, Philipines.” J. Earth Syst. Sci., 119(3), 265–283.
Craig, I. P. (2006). “Comparison of precise water depth measurements on agricultural storages with open-water evaporation estimates.” Agric. Water Manage., 85(1–2), 193–200.
DHI (Danish Hydraulic Institute). (2009). “MIKE 11: A modelling system for rivers and channels.” Copenhagen, Denmark.
Droogers, P., and Allen, R. G. (2002). “Estimating reference evapotranspiration under inaccurate data conditions.” Irrig. Drain. Syst., 16(1), 33–45.
Drost, F., Renwick, J., Bhaskaran, B., Oliver, H., and McGregor, J. (2007). “Simulation of New Zealand’s climate using a high-resolution nested regional climate model.” Int. J. Climatol., 27(9), 1153–1169.
Dubrovsky, M. (2009). “Uncertainties in multi-model climate projections.” 9th EMS Annual Meeting, 9th European Conf. on Applications of Meteorology (ECAM), 〈http://meetings.copernicus.org/ems2009/〉.
Esqueda, G. S. T., Norena, J. E. O., Garcia, C. G., and Conde, C. (2011). “Vulnerability of water resources to climate change scenarios. Impacts on the irrigation districts in the Guayalejo-Tamesí river basin, Tamaulipas, México.” Atmosfera, 24(1), 141–155.
Foley, A. M. (2010). “Uncertainty in regional climate modelling: A review.” Prog. Phys. Geog., 34(5), 647–670.
Gupta, H. V., Kling, H., Yilmaz, K., and Martinez, G. (2009). “Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling.” J. Hydrol., 377(1–2), 80–91.
Ha, N. T. T. (2009). “Water resources management in Ba River basin under future development and climate change scenarios.” Asian Institute of Technology, Bangkok, Thailand.
Habte, G. L. (2013). “Remote sensing and regionalization for integrated water resources modelling in upper and middle Awash River basin, Ethiopia.” Univ. of Twente, Enschde, Netherlands.
Hafezparast, M., Araghinejad, S., Fatemi, S. E., and Bressers, H. (2013). “A conceptual rainfall-runoff model using the auto calibrated NAM models in the Sarisoo River.” Hydrol. Current Res., 4(1), 2–6.
IPCC (Intergovermental Panel on Climate Change). (2000). “Emission scenarios: A special report of IPCC Working Group III.” Geneva.
IPCC (Intergovermental Panel on Climate Change). (2007). “Climate change 2007: Synthesis report: Contribution of Working Groups I, II and III to the fourth assessment report of the Intergovernmental Panel on Climate Change.” Geneva.
Iturbe, I. R., Porporato, A., Ridolfi, L., Isham, V. S., and Coxi, D. R. (1999). “Probabilistic modelling of water balance at a point: The role of climate, soil and vegetation.” Proc. Royal Soc., 455(1990), 3789–3805.
Jiang, T., Chen, Y. D., Xu, C. Y., Chen, X., Chen, X., and Singh, V. P. (2007). “Comparison of hydrological impacts of climate change simulated by six hydrological models in the Dongjiang basin, south China.” J. Hydrol., 336(3–4), 316–333.
Kim, U., and Kaluarachchi, J. J. (2009). “Climate change impacts on water resources in the upper Blue Nile river basin, Ethiopia.” J. Am. Water Resour. Assoc., 45(61361–1378).
Madsen, H., Wilsona, G. T., and Ammentorp, H. C. (2002). “Comparison of different automated strategies for calibration of rainfall-runoff models.” J. Hydrol., 261(1–4), 48–59.
Marks, D., King, G. A., and Dolph, J. (1993). “Implications of climate change for the water balance of the Columbia river basin, USA.” Clim. Res., 2, 203–213.
Mauser, W., and Bach, H. (2009). “PROMET—Large scale distributed hydrological modelling to study the impact of climate change on the water flows of mountain watersheds.” J. Hydrol., 376(3–4), 362–377.
Mearns, L. O., Giorgi, F., Whetton, P., Pabon, D., Hulme, M., and Lal, M. (2003). “Guidelines for use of climate scenarios developed from regional climate model experiments.”, 〈http://www.ipcc-data.org/〉.
Ministry for the Environment. (2008). “Climate change effects and impacts assessment: A guidance manual for local government in New Zealand.” Wellington, New Zealand.
Moreda, F. (1999). “Conceptual rainfall-runoff models for different time steps with special consideration for semi-arid and arid catchments.” Vrije Universiteit Brussel, Brussels, Belgium.
Mpelasoka, F. S. (2000). “GCM-derived climate change scenarios and their impacts on New Zealand water resources.” Massey Univ., Palmerston North, New Zealand.
Mujumdar, P. P., and Ghosh, S. (2008). “Modeling GCM and scenario uncertainty using a possibilistic approach: Application to the Mahanadi River, India.” Water Resour. Res., 44(6), 1–15.
Nash, J. E. and Sutcliffe, J. V. (1970). “River flow forecasting through conceptual models. Part I—A discussion of principles.” J. Hydrol., 10(3), 282–290.
Nayaka, P. C., Venkatesh, B., Krishna, B., and Jain, S. K. (2013). “Rainfall-runoff modeling using conceptual, data driven, and wavelet based computing approach.” J. Hydrol., 493, 57–67.
Novaky, B. (2008). “Climate change impact on water balance of Lake Balaton.” Water Sci. Technol., 58(9), 1856–1870.
Obeysekera, J., Irizarry, M., Park, J. S., Barnes, J., and Dessalegne, T. (2011). “Climate change and its implications for water resources management in south Florida.” Stoch. Environ. Res. Risk Assess., 25(4), 495–516.
Pechlivandis, I. G., Jacksona, B., and McMillanb, H. (2010). “The use of entropy as a model diagnostic in rainfall-runoff modelling.” Int. Environmental Modelling and Software Society (iEMSs), 5th Biennial Meeting, D. A. Swayne, W. Yang, A. A. Voinov, A. Rizzoli, and T. Filatova, eds., Ottawa.
Pelt, S. C. V., Kabat, P., Ter Maat, H. W., Vanden Hurk, B. J. J. M., and Weerts, A. H. (2009). “Discharge simulations performed with a hydrological model using bias corrected regional climate model input.” Hydrol. EarthSyst. Sci., 13(12), 2387–2397.
Pham, H., Shamseldin, A., and Melville, B. (2014a). “Downscaling of daily precipitation and projection of future extreme precipitation.” J. Hydrol. Eng., 19(4), 807–815.
Pham, H., Shamseldin, A., and Melville, B. (2014b). “Future projection of potential evapotranspiration over forested and grassed catchments.” 19th Congress of the Asia and Pacific Div. of the Int. Association for Hydro-Environment Engineering and Research (IAHR-ADP), Hanoi, Vietnam.
Pielke, R. A. (2012). “Regional climate downscaling: What’s the point?” Eos, 93(5), 52–53.
Qian, B., Gameda, S., Jong, R., Falloon, P., and Gornall, J. (2010). “Comparing scenarios of Canadian daily climate extremes derived using a weather generator.” Clim. Res., 41(2), 131–149.
Raes, D. (2012). “ET0 calculator—Reference manual.” Food and Agriculture Organization of the United Nations (FAO), Rome, Italy.
Randall, D. A., et al. (2007). “Contribution of working Group I to the fourth assessment report of the intergovernmental panel on climate change.” Climate models and their evaluation, S. Solomon, et al., eds., Cambridge University Press, Cambridge, U.K.
Roderick, M. L., and Graham, D. F. (2002). “The cause of decreased pan evaporation over the past 50 years.” Science, 298(5597), 1410–1411.
Rummukainen, M. (2010). “State-of-the-art with regional climate models.” Adv. Rev. WIREs Clim. Change, 1(1), 82–96.
Schmidli, J., et al. (2007). “Statistical and dynamical downscaling of precipitation: An evaluation and comparison of scenarios for the European Alps.” J. Geophys. Res., 112(D4), 1–20.
Sun, F., and Liu, Y. (2010). “Sensitivity analysis and automatic calibration of a rainfall-runoff model using multi-objectives.” Knowledge-Based and Intelligent Information and Engineering Systems—14th Int. Conf., KES 2010, Proc., Vol. 6276, 90–99.
Sunyer, M. A., Madsen, H., and Ang, P. H. (2012). “A comparison of different regional climate models and statistical downscaling methods for extreme rainfall estimation under climate change.” Atmos. Res., 103, 119–128.
Tait, A., and Woods, R. (2007). “Spatial interpolation of daily potential evapotranspiration for New Zealand using a spline model.” J. Hydrometeorol., 8(3), 430–438.
Vaitiekuniene, J. (2005). “Application of rainfall-runoff model to set up the water balance for Lithuanian river basins.” Environ. Res. Eng. Manage., 1(31), 34–44.
Wang, Q. J., Pagano, T. C., Zhou, S. L., Hapuarachchi, H. A. P., Zhang, L., and Robertson, D. E. (2011). “Monthly versus daily water balance models in simulating monthly runoff.” J. Hydrol., 404, 166–175.
Wang, X., Yang, T., Shao, Q., Acharya, K., Wang, W., and Yu, Z. (2012). “Statistical downscaling of extremes of precipitation and temperature and construction of their future scenarios in an elevated and cold zone.” Stoch. Environ. Res. Risk Assess., 26(3), 405–418.
White, E. D., et al. (2011). “Development and application of a physically based landscape water balance in the SWAT model.” Hydrol. Processes, 25(6), 915–925.
Xu, C. Y., and Singh, P. (1998). “A review on monthly water balance models for water resources investigations.” Water Resour. Manage., 12(1), 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.” J. Hydrol., 360(1–4), 117–131.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 20Issue 10October 2015

History

Received: Apr 16, 2014
Accepted: Dec 8, 2014
Published online: Jan 23, 2015
Discussion open until: Jun 23, 2015
Published in print: Oct 1, 2015

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Hoa X. Pham [email protected]
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Auckland, Private Bag 92019, Auckland 1142, New Zealand (corresponding author). E-mail: [email protected]
Asaad Y. Shamseldin
Associate Professor, Deputy Head (Research), Dept. of Civil and Environmental Engineering, Univ. of Auckland, Private Bag 92019, Auckland 1142, New Zealand.
Bruce W. Melville
Professor, Dept. of Civil and Environmental Engineering, Univ. of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

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