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Water Yield Alteration in Thailand’s Pak Phanang Basin Due to Impacts of Climate and Land-Use Changes

Author

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  • Rungruang Janta

    (School of Languages and General Education, Walailak University, Nakhon Si Thammarat 80160, Thailand
    Center of Excellence in Sustainable Disaster Management, Walailak University, Nakhon Si Thammarat 80160, Thailand)

  • Laksanara Khwanchum

    (School of Languages and General Education, Walailak University, Nakhon Si Thammarat 80160, Thailand
    Center of Excellence in Sustainable Disaster Management, Walailak University, Nakhon Si Thammarat 80160, Thailand)

  • Pakorn Ditthakit

    (Center of Excellence in Sustainable Disaster Management, Walailak University, Nakhon Si Thammarat 80160, Thailand
    School of Engineering and Technology, Walailak University, Nakhon Si Thammarat 80160, Thailand)

  • Nadhir Al-Ansari

    (Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 97187 Lulea, Sweden)

  • Nguyen Thi Thuy Linh

    (Institute of Applied Technology, Thu Dau Mot University, Thu Dau Mot 75000, Vietnam)

Abstract

Climate and land-use change are important factors in the hydrological process. Climatic and anthropic changes have played a crucial role in surface runoff changes. The objective of this research was to apply land-use change and future climate change to predict runoff change in the Pak Phanang River Basin. The Cellular Automata (CA)-Markov model was used to predict the land-use change, while the climate data from 2025 to 2085 under RPC2.6, RPC4.5, and RPC8.5 were generated using the MarkSim model. Additionally, the Soil and Water Assessment Tool (SWAT) combined land-use change and the generated meteorological data to predict the runoff change in the study area. The results showed that the annual runoff in the area would increase in the upcoming year, which would affect the production of field crops in the lowland area. Therefore, a good water drainage system is required for the coming years. Since the runoff would be about 50% reduced in the middle and late 21st century, an agroforestry system is also suggested for water capturing and reducing soil evaporation. Moreover, the runoff change’s overall impact was related to GHG emissions. This finding will be useful for the authorities to determine policies and plans for climate change adaptation in the Malay Peninsula.

Suggested Citation

  • Rungruang Janta & Laksanara Khwanchum & Pakorn Ditthakit & Nadhir Al-Ansari & Nguyen Thi Thuy Linh, 2022. "Water Yield Alteration in Thailand’s Pak Phanang Basin Due to Impacts of Climate and Land-Use Changes," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9106-:d:871074
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    1. Yuddy Alejandra Castro Ortegón & Julio César Acosta-Prado & Pedro Mauricio Acosta Castellanos, 2022. "Impact of Land Cover Changes on the Availability of Water Resources in the Regional Natural Park Serranía de Las Quinchas," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    2. Jones, Peter G. & Thornton, Philip K., 2013. "Generating downscaled weather data from a suite of climate models for agricultural modelling applications," Agricultural Systems, Elsevier, vol. 114(C), pages 1-5.
    3. Malte Meinshausen & S. Smith & K. Calvin & J. Daniel & M. Kainuma & J-F. Lamarque & K. Matsumoto & S. Montzka & S. Raper & K. Riahi & A. Thomson & G. Velders & D.P. Vuuren, 2011. "The RCP greenhouse gas concentrations and their extensions from 1765 to 2300," Climatic Change, Springer, vol. 109(1), pages 213-241, November.
    4. Anton Eitzinger & Peter Läderach & Beatriz Rodriguez & Myles Fisher & Stephen Beebe & Kai Sonder & Axel Schmidt, 2017. "Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(5), pages 743-760, June.
    5. Marco Letta & Richard S. J. Tol, 2019. "Weather, Climate and Total Factor Productivity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 283-305, May.
    6. A. F. Lutz & W. W. Immerzeel & A. B. Shrestha & M. F. P. Bierkens, 2014. "Consistent increase in High Asia's runoff due to increasing glacier melt and precipitation," Nature Climate Change, Nature, vol. 4(7), pages 587-592, July.
    7. Mekonnen H. Daba & Songcai You, 2022. "Quantitatively Assessing the Future Land-Use/Land-Cover Changes and Their Driving Factors in the Upper Stream of the Awash River Based on the CA–Markov Model and Their Implications for Water Resources," Sustainability, MDPI, vol. 14(3), pages 1-29, January.
    8. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
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