Optimizing Land Use and Land Cover Allocation for Flood Mitigation Using Land Use Change and Hydrological Models with Goal Programming, Chaiyaphum, Thailand

Floods represent one of the most severe natural disasters threatening development human society worldwide, including in Thailand. In recent decades, Chaiyaphum province has experienced a problem with flooding almost every year. particular, flood 2010 caused property damage 495 million Baht, more than 322,000 persons were affected, and approximately 1046.4 km2 productive agricultural area was affected. Therefore, this study examined how to optimize land use cover allocation for mitigation using change hydrological models optimization methods. This research aimed allocate (LULC) minimize surface Mueang district, province, The methodology consisted six stages: data collection preparation, LULC classification, prediction, runoff estimation, mapping, economic ecosystem service value evaluation change. According results mapping suitable dry, normal, wet years goal programming CLUE-S model, 2049 under normal year could provide highest future gain. meantime, drought Nevertheless, considering values changes reduction, is Consequently, it can be concluded that derived used as primary information project implementation. Additionally, presented conceptual framework workflows guideline government agencies examine other flood-prone areas