IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i12p1317-d691684.html
   My bibliography  Save this article

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

Author

Listed:
  • Athiwat Phinyoyang

    (School of Geoinformatics, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Suwit Ongsomwang

    (School of Geoinformatics, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima 30000, 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 km 2 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.

Suggested Citation

  • Athiwat Phinyoyang & Suwit Ongsomwang, 2021. "Optimizing Land Use and Land Cover Allocation for Flood Mitigation Using Land Use Change and Hydrological Models with Goal Programming, Chaiyaphum, Thailand," Land, MDPI, vol. 10(12), pages 1-41, November.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:12:p:1317-:d:691684
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/12/1317/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/10/12/1317/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huiran Han & Chengfeng Yang & Jinping Song, 2015. "Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China," Sustainability, MDPI, vol. 7(4), pages 1-20, April.
    2. Aynur Mamat & Ümüt Halik & Aihemaitijiang Rouzi, 2018. "Variations of Ecosystem Service Value in Response to Land-Use Change in the Kashgar Region, Northwest China," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    3. Paolo Billi & Yonas Alemu & Rossano Ciampalini, 2015. "Increased frequency of flash floods in Dire Dawa, Ethiopia: Change in rainfall intensity or human impact?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(2), pages 1373-1394, March.
    4. Chittana Phompila & Megan Lewis & Bertram Ostendorf & Kenneth Clarke, 2017. "Forest Cover Changes in Lao Tropical Forests: Physical and Socio-Economic Factors are the Most Important Drivers," Land, MDPI, vol. 6(2), pages 1-14, March.
    5. Xiangmei Li & Ying Wang & Jiangfeng Li & Bin Lei, 2016. "Physical and Socioeconomic Driving Forces of Land-Use and Land-Cover Changes: A Case Study of Wuhan City, China," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-11, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Skutsch, Margaret & Turnhout, Esther, 2020. "REDD+: If communities are the solution, what is the problem?," World Development, Elsevier, vol. 130(C).
    2. Youjung Kim & Galen Newman, 2019. "Climate Change Preparedness: Comparing Future Urban Growth and Flood Risk in Amsterdam and Houston," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    3. Abdulwaheed Tella & Abdul-Lateef Balogun, 2020. "Ensemble fuzzy MCDM for spatial assessment of flood susceptibility in Ibadan, Nigeria," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2277-2306, December.
    4. Yunfeng Hu & Batu Nacun, 2018. "An Analysis of Land-Use Change and Grassland Degradation from a Policy Perspective in Inner Mongolia, China, 1990–2015," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
    5. Bernard Fosu Frimpong & Frank Molkenthin, 2021. "Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986–2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana," Land, MDPI, vol. 10(1), pages 1-21, January.
    6. Andrew Allan & Ali Soltani & Mohammad Hamed Abdi & Melika Zarei, 2022. "Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review," Land, MDPI, vol. 11(8), pages 1-20, August.
    7. Shaikh Shamim Hasan & Xiangzheng Deng & Zhihui Li & Dongdong Chen, 2017. "Projections of Future Land Use in Bangladesh under the Background of Baseline, Ecological Protection and Economic Development," Sustainability, MDPI, vol. 9(4), pages 1-21, March.
    8. Michel Opelele Omeno & Ying Yu & Wenyi Fan & Tolerant Lubalega & Chen Chen & Claude Kachaka Sudi Kaiko, 2021. "Analysis of the Impact of Land-Use/Land-Cover Change on Land-Surface Temperature in the Villages within the Luki Biosphere Reserve," Sustainability, MDPI, vol. 13(20), pages 1-23, October.
    9. Hashem Dadashpoor & Hossein Panahi, 2021. "Exploring an integrated spatially model for land-use scenarios simulation in a metropolitan region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13628-13649, September.
    10. Sarah Hasan & Wenzhong Shi & Xiaolin Zhu & Sawaid Abbas & Hafiz Usman Ahmed Khan, 2020. "Future Simulation of Land Use Changes in Rapidly Urbanizing South China Based on Land Change Modeler and Remote Sensing Data," Sustainability, MDPI, vol. 12(11), pages 1-24, May.
    11. Ying Li & Suiliang Huang, 2015. "Landscape Ecological Risk Responses to Land Use Change in the Luanhe River Basin, China," Sustainability, MDPI, vol. 7(12), pages 1-22, December.
    12. Harik, G. & Alameddine, I. & Zurayk, R. & El-Fadel, M., 2023. "Uncertainty in forecasting land cover land use at a watershed scale: Towards enhanced sustainable land management," Ecological Modelling, Elsevier, vol. 486(C).
    13. Vitus Tankpa & Li Wang & Alfred Awotwi & Leelamber Singh & Samit Thapa & Raphael Ane Atanga & Xiaomeng Guo, 2021. "Modeling the effects of historical and future land use/land cover change dynamics on the hydrological response of Ashi watershed, northeastern China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7883-7912, May.
    14. Liping Zhang & Shiwen Zhang & Yajie Huang & Meng Cao & Yuanfang Huang & Hongyan Zhang, 2016. "Exploring an Ecologically Sustainable Scheme for Landscape Restoration of Abandoned Mine Land: Scenario-Based Simulation Integrated Linear Programming and CLUE-S Model," IJERPH, MDPI, vol. 13(4), pages 1-20, March.
    15. Yipeng Zhang & Yunbing Gao & Bingbo Gao & Yuchun Pan & Mingyang Yan, 2015. "An Efficient Graph-based Method for Long-term Land-use Change Statistics," Sustainability, MDPI, vol. 8(1), pages 1-14, December.
    16. Kallio, Maarit Helena & Hogarth, Nicholas John & Moeliono, Moira & Brockhaus, Maria & Cole, Robert & Waty Bong, Indah & Wong, Grace Yee, 2019. "The colour of maize: Visions of green growth and farmers perceptions in northern Laos," Land Use Policy, Elsevier, vol. 80(C), pages 185-194.
    17. Muluberhan Biedemariam & Emiru Birhane & Biadgilgn Demissie & Tewodros Tadesse & Girmay Gebresamuel & Solomon Habtu, 2022. "Ecosystem Service Values as Related to Land Use and Land Cover Changes in Ethiopia: A Review," Land, MDPI, vol. 11(12), pages 1-21, December.
    18. Liying Sun & Bingjuan Ma & Liang Pei & Xiaohang Zhang & John L. Zhou, 2021. "The relationship of human activities and rainfall-induced landslide and debris flow hazards in Central China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 147-169, May.
    19. Xiaoli Hu & Xin Li & Ling Lu, 2018. "Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    20. Sai Hu & Longqian Chen & Long Li & Bingyi Wang & Lina Yuan & Liang Cheng & Ziqi Yu & Ting Zhang, 2019. "Spatiotemporal Dynamics of Ecosystem Service Value Determined by Land-Use Changes in the Urbanization of Anhui Province, China," IJERPH, MDPI, vol. 16(24), pages 1-18, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:12:p:1317-:d:691684. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.