• In regions with more clay-dominated soils, irrigated agriculture dominates the land uses, and includes rice paddies and aquaculture systems. These regions do not have well developed groundwater systems and must rely on surface water imports from the large, regional river systems. • We estimate that in the southeastern coastal region of the Phetchaburi province, that agricultural water use is 10 times larger than municipal and industrial water use. • The future climate change scenario shows warming and drying, but the water sys tems-including sur face and groundwater storage-exhibited robustness and resilience to these climate trends, although the climate scenario exhibited an increase in precipitation towards the end of the 20-year period, and the surface and groundwater storages recovered. • Future work should explore longer simulations that carry the analysis towards the end of the 21st century, as the analysis does suggest that climatic shifts that move the system into a different climate regime could lead to vulnerabilities of the water system. Surface and groundwater systems could need to be managed in a more holistic- conjunctive manner. • Future research should explore the potential vulnerability of the coastal aquifers to sea-level rise and salt-water intrusion. Field studies suggest that the water table in the coastal region is high enough to counter salt-water intrusion, but increased water demands or extended dry periods might lead to lower water tables and salt water intrusion. • Cost-benefit analysis with regards to agricultures use of groundwater could be explored. What are the practical implications of this sector using more groundwater and what the costs and benefits? Would there be a significant energy cost to the greater use of groundwater in the region (i.e. the water- energy-food nexus would be something to explore). • Further studies in the region would benefit tremendously by engaging local stakeholders on the issue they are facing. A shared vision planning process, that included climate scientists, water resource specialists, models, agricultural interests, municipal and industrial water experts would make the water planning process more meaningful. REFERENCES Giorgetta, M.A., E. Roeckner, T. Mauritsen, B. Stevens, T.Crueger, M. Esch, S. Rast, L. Kornblueh, H. Schmidt, S. Kinne, B. Möbis, T. Krismer, C. Reick, T. Raddatz and V. Gayler (2012) “The atmospheric general circulation model ECHAM6-Model description”. Giorgi, F., and et al. 2012, RegCM4: Model description and preliminary tests over multiple CORDEX domains, Clim Res, Vol.52, 7-9. Meehl, G.A., 1995: Global coupled general circulation models. Bull. Amer. Meteor. Soc., 76, 951-957. Valverde M.C., Ernesto Araujo, H. Campos Velho 2014: Neural network and fuzzy logic statistical downscaling of atmospheric circulation-type specific weather pattern for rainfall forecasting, Applied Soft Computing, Vol.22, 681-694. Yates D, Sieber J, Purkey D, Huber-Lee A (2005) WEAP21-A Demand-, Priority-, and Preference-driven Water Planning Model Part 1: Model Characteristics. Water Int 30: 487-500. Proceedings of the International Conference on Climate Change, Biodiversity and Ecosystem Services for the 253 Sustainable Development Goals (SDGs): Policy and Practice 27-29 June 2016, Cha-am, Phetchaburi, Thailand
Proceedings of International Conference on Climate Change, Biodiversity and Ecosystem Services for the Sustainable Development Goals : Policy and Practice 27-29 June 2016 at the Sirindhorn International Environmental Park, Cha-am, Phetchaburi, Thailand
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