APPLICATION OF MATHEMATICAL MODEL WITH GEOINFORMATICS SYSTEM FOR PREDICTION OF LAND USE CHANGE IN PONG NAM RON SUB-WATERSHED KHLONG LAN DISTRIC, KAMPHAENGPHET PROVINCE

Authors

  • Banchongsak Faksomboon Department of Environmental Sciences, Faculty of Science and Technology, Kamphang Phet Rajabhat University
  • Wilailak Suanmali Department of Environmental Sciences, Faculty of Science and Technology, Kamphang Phet Rajabhat University
  • Nopparat Chaivino Department of Environmental Sciences, Faculty of Science and Technology, Kamphang Phet Rajabhat University
  • Pimprapai Khaokham Department of Environmental Sciences, Faculty of Science and Technology, Kamphang Phet Rajabhat University
  • Nares Khamcharoen Department of Environmental Sciences, Faculty of Science and Technology, Kamphang Phet Rajabhat University
  • Siraprapa Meerod Department of Chemistry, Faculty of Science and Technology, Kamphang Phet Rajabhat University
  • Saksri Sanyacharernkul Department of Chemistry, Faculty of Science and Technology, Kamphang Phet Rajabhat University
  • Bunchongsri Phunlao Academic, Juvenile and Family Court, Mueang Khon Kaen District, Khon Kaen Province

Keywords:

Mathematical Model, Geoinformatics System, Land Use Change

Abstract

This research aimed to study the types and sizes of land use areas including prediction of land use change in Pong Nam Ron Sub-Watershed (PNRSW), Khlong Lan District, Kamphaeng Phet Province by using mathematical model with geoinformatics system. The relationship of the land use data sets is expressed as overlay mapping under the geographical information system approach using IDRISI Taiga program during in 2016, 2020 and 2024. The results showed that PNRSW area was 554.87 square kilometers. The land use classified into 9 types were field crops, paddy fields, urban and built-up land, water bodies, miscellaneous area, forest areas, fruit trees, perennial plants and relational cultivation. The trend of land use area are increasing during in 2020 to 2024 were field crops, urban and built-up land and relational cultivation as 1.40, 0.16 and 0.13 square kilometers or 0.25, 0.03 and 0.02 percentages, respectively. In the other hand, the trend of land use area are decreasing were forest area, perennial plants and miscellaneous areas as 1.54, 0.11 and 0.06 square kilometers or 0.28, 0.02 and 0.01 percentages, respectively because of increasing the land utilization including the tourist attractions are developed and promoted into a new tourist destinations.

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References

Manthana Chamroonsiri, Onanong Phewnil, Kasem Chankao, and Surachai Rattanasaempong. (2016, January-December). Land Use Change Induced Landslide Hazards in Maepul-Maeprong Watershed, Maepul Sub-District, Laplae District, Uttaradit Province. Journal of Social Sciences Srinakharinwirot University, 19(19), 186-199.

Sabaitong Kanna. (2013). Environmental Impact of Tourism Land Use Change in Suan Phung District, Ratchaburi Province. M.Sc. (Environmental Management). Graduate School of Social and Environmental Development, National Institute of Development Administration (NIDA).

Banchongsak Faksomboon, Wilailak Suanmali, Nopparat Chaivino, Nares Khamcharoen, and Sineepa Buasruang. (2019, May-August). Land Use Changes of Head Watershed Area on Streamflow, Suspended Sediment and Water Quality in Khlong Lan Watershed, Kamphaeng Phet Province. Burapha Science Journal, 24(2), 532-549.

Chudech Losiri. (2016, January-December). Land Use Change Model and Urban Area Prediction in the Future. Journal of Social Sciences Srinakharinwirot University, 19(19), 340-357.

Napasond Noofai, Alongkorn Intaraksa, and Kittichai Duangmal. (2018, January-December). The Relationship of Factors Influencing the Land Use Change in Thung Rangsit Area, Pathumthani Province. Journal of Social Sciences Srinakharinwirot University, 21(21), 120-131.

Mohammad, Rahim R. (2021, January). Forecasting Land-Use Changes in Mashhad Metropolitan Area Using Cellular Automata and Markov Chain Model for 2016-2030. Sustainable Cities and Society, 64, 1-11. https://doi.org/10.1016/j.scs.2020.102548

Joakim, M.; Dennis, M., and Joakim, W. (2021, January). Very Short Term Load Forecasting of Residential Electricity Consumption Using the Markov-Chain Mixture Distribution (MCM) Model. Applied Energy, 282, 1-7. https://doi.org/10.1016/j.apenergy.2020.116180

Sonam, W.; Lamchin, M., and Woo, K.L. (2021, January). Land Use and Land Cover Change Detection and Prediction in Bhutan’s High Altitude City of Thimphu, Using Cellular Automata and Markov Chain. Environmental Challenges, 2, 1-11. https://doi.org/10.1016/

j.envc.2020.100017

Banchongsak F.; Surat, B.; Narouchit, D., and Nipon, T. (2017). Dynamic Modeling of Water Storage Capacity for the Dilution of Waste Water of Land Utilization in the Upper Tha Chin Watershed, Thailand. EnvironmentAsia, 10(2), 33-42.

Hyandye, C., and Martz, L.W. (2017). A Markovian and Cellular Automata Land-Use Change Predictive Model of the Usangu Catchment. International Journal of Remote Sensing, 38(1), 64-81.

Clark, L. (2013). IDRISI Spotlight: The Land Change Modeler. Clark University, Worcester, MA.

Eastman, R.J. (2012). IDRISI SELVA Manual. Clark University, Worcester, MA.

Sineepa Buasruang, Kittichai Duangmal, Alongkorn Intaraksa, and Onanong Phewnill. (2016, January-December). Land Use Change on Soil Erosion in Rain Shadow Phusawan Watershed, Phetchaburi Province. Journal of Social Sciences Srinakharinwirot University, 19(19), 244-261.

Watanyuta Pairot. (2015). Land use and Land cover Change Simulation a Case Study of Indochina Intersection Development Scenario, Phitsanulok. In The 8th Geography and Geo-Informatics of Thailand Students Conference. pp. 1-16. Naresuan University.

Nattakit Sa-ngiam, Narong Pleerux, Supan Karnchanasutham, and Kaew Nualchawee. (2018, January-December). Application of Geoinformatics for Analysis of Flood Risk Areas in Lower Part of Prachinburi River Subbasin. Journal of Social Sciences Srinakharinwirot University, 21(21), 37-49.

Kittiphan Prasit. (2019, January-June). Sustainable Tourism Management of Kuiburi National Park, Kuiburi District, Prachuap Khiri Khan Province. Journal of Social Sciences Srinakharinwirot University, 22(1), 1-12.

Narunat Payakka, and Sangdao Wongsai. (2018). Effect of Land-Use Change on Deforestation in Phuket. In The 9th National Kasetsart University Kamphaeng Saen Conference. pp. 381-388. Kasetsart University Kamphaeng Saen.

Pattaraporn Pimdee, and Rasamee Suwanwerakamtorn. (2011, May- August). Application of Geoinformations Technology to Determining Areas at Risk of Encroachment of Agriculture on Forest Reserve in Phu Luang Wildlife Sanctuary, Loei Province. Journal of Remote Sensing and GIS Association of Thailand, 12(1), 43-68.

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Published

2022-06-29

How to Cite

Faksomboon, B. ., Suanmali, W. ., Chaivino, N. ., Khaokham, P. ., Khamcharoen, N. ., Meerod, S. ., Sanyacharernkul, S. ., & Phunlao, B. . (2022). APPLICATION OF MATHEMATICAL MODEL WITH GEOINFORMATICS SYSTEM FOR PREDICTION OF LAND USE CHANGE IN PONG NAM RON SUB-WATERSHED KHLONG LAN DISTRIC, KAMPHAENGPHET PROVINCE. Srinakharinwirot University Journal of Sciences and Technology, 14(27, January-June), 119–130. Retrieved from https://ph02.tci-thaijo.org/index.php/swujournal/article/view/246971