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

Abstract

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

Application of land-use change model for supporting land-use planning in An Bien district, Kien Giang province, Vietnam

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Optimization of coastal land in Modung District, Bangkalan Regency as a conservation effort

“…Land optimization is a method that helps decision makers determine the best scenario from various land use options without sacrificing the economic value of land use that provides benefits [16], and sustainable [17]. Optimization is also a tool that aims to achieve balanced long-term urban development through efficient use of resources, environmental protection, social justice and economic prosperity [18].…”

“…The aim of the programming model is to optimize land use arrangements, minimize environmental impacts and increase land use benefits. The essence of management science, as reflected in modelling and programming approaches, is seen as a key instrument for wisely allocating scarce resources to maximize benefits [16]. The government manages land use in such a way as to achieve optimal land use and in reality there are overlapping interests [17][18][19][20][21].…”

Land-Use Optimization and Allocation for Saltwater Intrusion Regions: A Case Study in Soc Trang Province, Vietnam

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