{"title":"Potential Climate Change Impacts on the Hydrological System of the Harvey River Catchment ","authors":"Hashim Isam Jameel Al-Safi, P. Ranjan Sarukkalige","volume":124,"journal":"International Journal of Environmental and Ecological Engineering","pagesStart":320,"pagesEnd":331,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10006828","abstract":"
Climate change is likely to impact the Australian continent by changing the trends of rainfall, increasing temperature, and affecting the accessibility of water quantity and quality. This study investigates the possible impacts of future climate change on the hydrological system of the Harvey River catchment in Western Australia by using the conceptual modelling approach (HBV mode). Daily observations of rainfall and temperature and the long-term monthly mean potential evapotranspiration, from six weather stations, were available for the period (1961-2015). The observed streamflow data at Clifton Park gauging station for 33 years (1983-2015) in line with the observed climate variables were used to run, calibrate and validate the HBV-model prior to the simulation process. The calibrated model was then forced with the downscaled future climate signals from a multi-model ensemble of fifteen GCMs of the CMIP3 model under three emission scenarios (A2, A1B and B1) to simulate the future runoff at the catchment outlet. Two periods were selected to represent the future climate conditions including the mid (2046-2065) and late (2080-2099) of the 21st<\/sup> century. A control run, with the reference climate period (1981-2000), was used to represent the current climate status. The modelling outcomes show an evident reduction in the mean annual streamflow during the mid of this century particularly for the A1B scenario relative to the control run. Toward the end of the century, all scenarios show a relatively high reduction trends in the mean annual streamflow, especially the A1B scenario, compared to the control run. The decline in the mean annual streamflow ranged between 4-15% during the mid of the current century and 9-42% by the end of the century.<\/p>\r\n","references":"[1]\tDepartment of Water (DoW), \u201cWater solutions, winter \u201908\u201d. 2008. Perth, Western Australia.\r\n[2]\tO. Barron, R. Crosbie, S. Charles, W. Dawes, R. Ali, W. Evans, R. Cresswell, D. Pollock, G. Hodgson, D. Currie. \u201cClimate change impact on groundwater resources in Australia\u201d. Waterlines Report (67), 2011. Online\/print: 978-1-921853-51-7.\r\n[3]\tK. B. Hennessy, B. Fitzharris, B. C. Bates, N. Harvey, M. Howden, L. Hughes, R. Warrick, \u201cAustralia and New Zealand: climate change 2007: impacts, adaptation and vulnerability: contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change\u201d. 2007.\r\n[4]\tF. Chiew, J. Teng, J. Vaze, D. Post, J. Perraud, D. Kirono, N. Viney, \u201cEstimating climate change impact on runoff across southeast Australia: Method, results, and implications of the modeling method\u201d. Water Resources Research, 2009. (45), W10414.\r\n[5]\tCommonwealth Scientific and Industrial Research Organization (CSIRO), \u201cSurface water yields in south-west Western Australia, a report to the Australian government from the CSIRO south-west Western Australia sustainable yields project, CSIRO water for a healthy country flagship, Commonwealth Scientific and Industrial Research Organization, Australia\u201d. 2009, pp. 171 5.\r\n[6]\tR. P. Silberstein, S. K. Aryal, J. Durrant, M. Pearcey, M. Braccia, S. P. Charles, D. J. McFarlane, \u201cClimate change and runoff in south-western Australia\u201d. Journal of Hydrology, 2012. 475, pp. 441-455.\r\n[7]\tD. McFarlane, R. Stone, S. Martens, J. Thomas, R. Silberstein, R. Ali, G. Hodgson, \u201cClimate change impacts on water yields and demands in south-western Australia\u201d. Journal of Hydrology, 2012. 475, pp. 488-498.\r\n[8]\tS. A. Islam, M.A. Bari, A. H. M. F. Anwar, \u201cHydrologic impact of climate change on Murray Hotham catchment of Western Australia: a projection of rainfall-runoff for future water resources planning\u201d. Hydrology and Earth System Sciences, 2014. 18, p.p. 3591\u20133614.\r\n[9]\tL. Cheng, L. Zhang, Y. P. Wang, Q. Yu, D. Eamus, A. O\u2019Grady, \u201cImpacts of elevated CO2, climate change and their interactions on water budgets in four different catchments in Australia\u201d. Journal of Hydrology, 2014. 519, pp. 1350-1361. \r\n[10]\tIntergovernmental Panel on Climate Change (IPCC), \u201cClimate change 2001: Impacts, adaptation, and vulnerability, contribution of working group ii to the third assessment report of the intergovernmental panel on climate change, summary for policymakers\u201d. 2001. pp. 17. Cambridge University Press, Cambridge CB2 2RU, UK.\r\n[11]\tS. Solomon, D. Qin, M. Manning, Z. CHEN, M. Marquis, K. Averyt, K. Tignor, H. Miller, \u201cContribution of working group I to the fourth assessment report of the intergovernmental panel on climate change, 2007\u201d. 2007. Cambridge University Press, Cambridge.\r\n[12]\tE. Zorita, H. Von Storch, \u201cThe analog method as a simple statistical downscaling technique: comparison with more complicated methods\u201d. Journal of climate, 1999. 12, pp. 2474-2489.\r\n[13]\tB. Bates, Z. W. Kundzewicz, S. Wu, J. Palutikof, \u201cClimate change and water\u201d. Intergovernmental Panel on Climate Change (IPCC) 2008.\r\n[14]\tM. A. Semenov, P. Stratonovitch, (2010). \u201cUse of multi-model ensembles from global climate models for assessment of climate change impacts\u201d. Climate research (Open Access for articles 4 years old and older), 2010. 41 (1), 1.\r\n[15]\tL. N. Gunawardhana, G. A. Al-Rawas, S. Kazama, K. A. Al-Najar, (2015). \u201cAssessment of future variability in extreme precipitation and the potential effects on the wadi flow regime\u201d. Environmental monitoring and assessment, 2015. 187 (10), pp. 1-19.\r\n[16]\tN. S. Christensen, D. P. Lettenmaier, \u201cA multimodel ensemble approach to assessment of climate change impacts on the hydrology and water resources of the Colorado River Basin\u201d Hydrol. Earth Syst. Sci., 2007. 11, pp. 1417\u20131434.\r\n[17]\tY. Fujihara, K. Tanaka, T. Watanabe, T. Nagano, T. Kojiri, \u201cAssessing the impacts of climate change on the water resources of the seyhan river basin in turkey: Use of dynamically downscaled data for hydrologic simulations\u201d. J. Hydrol., 2008. pp. 353, 33\u201348.\r\n[18]\tM. A. Bari, G. E. Amirthanathan, B. Timbal, \u201cClimate change and long term water availability in south-western Australia \u2013 an experimental projection\u201d. Practical Responses to Climate Change National Conference 2010, Hilton on the Park, Melbourne, Australia, 29 September\u20131 October 2010, 2010.\r\n[19]\tZ. W. Kundzewicz, L. J. Mata, N. W. Arnell, P. D\u00f6ll, P. Kabat, B. Jim\u00e9nez, K. A. Miller, T. Oki, Z. Sen, I. A. Shiklomanov, \u201cFreshwater resources and their management. Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change\u201d Edited by: M. L. Parry, O. F. Canziani, J. P. Palutikof, P. J. van der Linden, C. E. Hanson. Cambridge University Press, Cambridge, UK, 2007, pp. 173\u2013210.\r\n[20]\tT. L. A. Driessen, R. T. W. L. Hurkmans, W. Terink, P. Hazenberg, P. J. J. F. Torfs, R. Uijlenhoet, \u201cThe hydrological response of the Ourthe catchment to climate change as modelled by the HBV model\u201d. Hydrology and Earth System Sciences, 2010. 14 (4), pp. 651-665. \r\n[21]\tS. Charles, R. Silberstein, J. Teng, G. Fu, G. Hodgson, C. Gabrovsek, W. Cai, \u201cClimate analyses for south-west Western Australia\u201d. 2010. A Report to the Australian Government from the CSIRO South-West Western Australia Sustainable Yields Project.\r\n[22]\tP. Kelsey, J. Hall, P. Kretschmer, B. Quinton, D. Shakya, \u201cHydrological and nutrient modelling of the Peel-Harvey catchment\u201d. 2010. Water Science Technical Series, Report.\r\n[23]\tPeel-Harvey Catchment Council. \u201cAdapting to climate change in the Peel region: Improving local government emergency management and biodiversity conservation services\u201d. 2012. A report by Kim Byrnes to the PHCC, edited by Andrew Del Marco, Mandurah, Western Australia.\r\n[24]\tDepartment of Water (DoW). \u201cHydrological and nutrient modelling of the Peel-Harvey catchment\u201d. 2011.\r\n[25]\tG. A. Meehl, C. Covey, K. E. Taylor, T. Delworth, R. J. Stouffer, M. Latif, J. F. Mitchell, \u201cThe WCRP CMIP3 multimodel dataset: A new era in climate change research\u201d. Bulletin of the American Meteorological Society, 2007. 88 (9), pp. 1383-1394.\r\n[26]\tM. A. Collier, S. J. Jeffrey, L. D. Rotstayn, K. K. Wong, S. M. Dravitzki, C. Moseneder, ... & A. El Zein,. \u201cThe CSIRO-Mk3. 6.0 Atmosphere-Ocean GCM: participation in CMIP5 and data publication\u201d. 2011. In International Congress on Modelling and Simulation\u2013MODSIM.\r\n[27]\tB. Felzer, D. Sahagian, \u201cClimate impacts on regional ecosystem services in the United States from CMIP3-based multimodel comparisons\u201d. Climate Research, 2014. 61 (2), pp. 133.\r\n[28]\tH. I. Chang, C. L. Castro, C. M. Carrillo, F. Dominguez, \u201cThe more extreme nature of US warm season climate in the recent observational record and two \u201cwell\u2010performing\u201d dynamically downscaled CMIP3 models\u201d. Journal of Geophysical Research: Atmospheres, 2015. 120 (16), pp. 8244-8263.\r\n[29]\tZ. Deng, X. Qiu, J. Liu, N. Madras, X. Wang, H. Zhu, \u201cTrend in frequency of extreme precipitation events over Ontario from ensembles of multiple GCMs\u201d. Climate Dynamics, 2015. pp. 1-13.\r\n[30]\tC. Onyutha, H. Tabari, A. Rutkowska, P. Nyeko-Ogiramoi, P. Willems, \u201cComparison of different statistical downscaling methods for climate change rainfall projections over the Lake Victoria basin considering CMIP3 and CMIP5\u201d. Journal of Hydro-environment Research, 2016. 12, pp. 31-45.\r\n[31]\tIntergovernmental Panel on Climate Change (IPCC), \u201cSpecial Report on Emission Scenarios\u201d. Cambridge University Press, Cambridge, UK, 2000. pp. 570.\r\n[32]\tS. Bergstr\u00f6m, \u201cThe HBV-model, in: V.P. Singh (Ed.), Computer Models for Watershed Hydrology\u201d. Water Resources Publications, 1995. pp. 443-476.\r\n[33]\tJ. Seibert, (2005) \u201cHBV light version 2. User\u2019s manual\u201d. Stockholm University, 2005.\r\n[34]\tSMHI, \u201cIntegrated Hydrological Modelling System (IHMS)\u201d. 2012. User manual, Version 6.3. Swedish Meteorological and Hydrological Institute.\r\n[35]\tJ. Seibert, \u201cMulti-criteria calibration of a conceptual runoff model using a genetic algorithm\u201d. Hydrology and Earth System Sciences, 2000. 4 (2), pp. 215-224.\r\n[36]\tR. Lid\u00e9n, J. Harlin, \u201cAnalysis of conceptual rainfall\u2013runoff modelling performance in different climates\u201d. Journal of hydrology, 2000. 238, pp. 231-247.\r\n[37]\tG. Lindstr\u00f6m, B. Johansson, M. Persson, M., Gardelin, S. Bergstr\u00f6m, \u201cDevelopment and test of the distributed HBV-96 hydrological model\u201d. Journal of hydrology, 1997 201 (1), pp. 272-288.\r\n[38]\tN. A. Abebe, F. L. Ogden, N. R. PRADHAN, (2010) \u201cSensitivity and uncertainty analysis of the conceptual HBV rainfall\u2013runoff model: Implications for parameter estimation\u201d. Journal of Hydrology, 2010. 389, pp. 301-310.\r\n[39]\tS. P. Charles, B. C. Bates, I. N. Smith, J. P. Hughes, \u201cStatistical downscaling of daily precipitation from observed and modelled atmospheric fields\u201d. Hydrological Processes, 2004. 18 (8), pp. 1373-1394.\r\n[40]\tH. Fowler, S. Blenkinsop, C. Tebaldi, (2007) \u201cLinking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling\u201d. International journal of climatology, 2007. 27, pp. 1547-1578.\r\n[41]\tH. B. Gordon, S. P. O'Farrell, \u201cTransient climate change in the CSIRO coupled model with dynamic sea ice\u201d. Monthly Weather Review, 1997. 125 (5), pp. 875-908.\r\n[42]\tM. Nunez, J. L. McGregor, \u201cModelling future water environments of Tasmania, Australia\u201d. Climate Research: Interactions of Climate with Organisms, Ecosystems, and Human Societies, 2007. 34 (1), pp. 25-37.\r\n[43]\tM. S. Semenov, E. M. Barrow, \u201cA stochastic weather generator for use in climate impact studies\u201d. 2002. User Manual: Hertfordshire, UK.\r\n[44]\tJ. R. Porter M. A. Semenov, \u201cCrop responses to climatic variation\u201d. Philos Trans R Soc B, 2005. 360, pp. 2021\u20132035.\r\n[45]\tM. A. Semenov, E. M. Barrow, \u201cUse of a stochastic weather generator in the development of climate change scenarios\u201d. Climatic change, 1997. 35 (4), pp. 397-414.\r\n[46]\tD. S. Wilks R. L. Wilby, \u201cThe weather generation game: a review of stochastic weather models\u201d. Prog Phys Geogr, 1999. 23, pp. 329\u2013357.\r\n[47]\tJ. E. Nash, J. V. Sutcliffe, \u201cRiver flow forecasting through conceptual models part I\u2014A discussion of principles\u201d. Journal of hydrology, 1970. 10, pp. 282-290.\r\n[48]\tJ. Doorenbos, W. O. Pruitt, \u201cGuidelines for predicting crop water requirements\u201d. FAO Irrigation and Drainage Paper, 1977. 24, 144 pp.\r\n[49]\tJ. P. Palutikof, C. M. Goodess, X. Guo, \u201cClimate change, potential evapotranspiration and moisture availability in the Mediterranean Basin\u201d. International Journal of climatology, 1994. 14 (8), pp. 853-869.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 124, 2017"}