Predicted Rainfall, Surface Runoff and Water Yield Responses to Climate Change in the Phetchaburi River Basin, Thailand
Expected changes in temperature, rainfall, water yield and surface runoff dynamics under RCP 8.5 were estimated in the Phetchaburi River Basin, Thailand, using outputs of five regional climate models. Observed temperatures and precipitations were downscaled using a combination of quantile mapping and nearest neighbour methods. The SWAT model was used to estimate changes in hydroclimatic variables in both the near term (2006-2050) and long-term (2051-2099) temporal frames. All models predicted higher temperatures in the future (28.7-30.4⁰C) compared to the historical situation (28.0-28.3⁰C). The patterns of maximum temperature from most models were shifted one month earlier but there was no significant change for minimum temperature. Disagreement between models could be found in projected precipitations for the short term, but most of them pointed to an increase in rainfall in the long term, especially for maximum rainfalls ranging from 1,637 to 1,947 CNRM-CM5 presented large differences in the future rainfalls compared to other models. Surface runoff/ water yield significantly increased by 14%/17% in the long-term following the same trend as rainfalls with a slight change in the short-term.
Aflahah, E., Latifah, A.L., Hidayat, R., Hidayati, R. and A. Ihwan (2019). Inter-comparison of multiple global climate model (GCM) data based on spatial pattern of rainfall over Indonesia. Conf. Series: Earth and Environmental Science, 284(1): 012017.
Ayugi, B., Tan, G., Ruoyun, N., Babaousmail, H., Ojara, M., Wido, H., Mumo, L., Ngoma, N.H., Noono, I.K. and V. Ongoma (2020). Quantile mapping bias correction on Rossy Centre regional climate models for precipitation analysis over Kenya, East Africa. Water, 12: 801.
Dore, M.H.I. (2005). Climate change and changes in global precipitation patterns: What do we know?. Environmental International, 31: 1167-1181.
Ekkawatpanit, C., Pratoomchai, W., Khemngoen, C. and P. Srivihok (2020). Climate change impact on water resources in Klong Yai River Basin, Thailand. Proceeding of the International Association of Hydrological Sciences, 383: 355-365.
Enayati, M., Bozorg-Haddad, O., Bazrafshan, J., Hejabi, S. and X. Chu (2021). Bias correction capabilities of quantile mapping methods for rainfall and temperature variables. Journal of Water and Climate Change, 12(2): 401-419.
Foyhirun, C. and T. Promping (2021). Future hydrological drought hazard assessment under climate and land use projections in Upper Nan River Basin, Thailand. Engineering and Applied Science Research, 48(6): 781- 790.
Gunathilake, M.B., Amaratunga, Y.V., Perera, A., Chathuranika, I.M., Gunathilake, A.S. and U. Rathnayake (2020). Evaluation of future climate and potential impact on streamflow in the upper Nan River Basin of Northern Thailand. Advances in Meteorology, 2020: 8881118.
IPCC (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, R.K. Pachauri and L.A. Meyer (eds.)]. IPCC, Geneva, Switzerland, 151pp.
Jia, K., Ruan, Y., Yang, Y. and C. Zhang (2019). Assessing the performance of CIMP5 global climate models for simulating future precipitation change in the Tibetan Plateau. Water, 11(1771): 1-18.
Luo, M., Liu, T., Meng, F., Duan, Y., Frankl, A., Bao, A. and P.D. Maeyer (2018). Comparing bias correction methods used in downscaling precipitation and temperature from regional climate models: A case study from the Kaidu River Basin in Western China. Water, 10(8): 1046.
Marhaento, H., Booji, M.J. and A.Y. Hoekstra (2018). Hydrological response to future land-use change and climate change in a tropical catchment. Hydrological Science Journal, 63(9): 1368-1385.
Mendez, M., Maathuis, B., Hein-Griggs, D. and L. AlvaradoGamboa (2020). Performance evaluation of bias correction