References

gesj

GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY

2071-93882542-1565

Russian Geographical Society

10.24057/2071-9388-2022-159

gesj-2944

Research Article

RESEARCH PAPER

Статьи

Flood Susceptibility Mapping Using Logistic Regression Analysis In Lam Khan Chu Watershed, Chaiyaphum Province, Thailand

Waiyasusri

Katawut

Suan Sunandha Rajabhat University, 1 U-Thong Nok Road, Dusit, Bangkok 10300

katawut.wa@ssru.ac.th

Wetchayont

Parichat

114 Sukhumvit 23, Khlong Toei Nuea, Wattana District, Bangkok 10110

Tananonchai

Aekkacha

91 Moo 4, Tivanont road, Bang Kadi, Pathumthani 12000

Suwanmajo

Dolreucha

99 Moo 1, Ban Lane, Bang Pa-in, Ayutthaya 13160 Thailandina

Geography and Geo-informatics Program, Faculty of Humanities and Social SciencesThailandDepartment of Geography, Faculty of Social Sciences, Srinakharinwirot UniversityThailandBureau of Quality Control of Livestock Products, Department of Livestock Development Ministry of Agriculture and CooperativesThailandAAPICO ITS Company Limited, Hitech Industrial EstateThailand

2023

27062023

1624156

2023

Waiyasusri K., Wetchayont P., Tananonchai A., Suwanmajo D.

Данная работа распространяется под лицензией Creative Commons Attribution 4.0.

This work is licensed under a Creative Commons Attribution 4.0 License.

https://ges.rgo.ru/jour/article/view/2944

Due to Tropical Storm Dianmu’s influence in the Lam Khan Chu watershed (LKCW) area, central Thailand saw its worst flood in 50 years from September 23 to September 28, 2021. The flooding lasted for 1-2 months. The objective of this research is to study flood susceptibility using logistic regression analysis in LCKW area. According to the study 11 floods occurred repeatedly between 2005 and 2021, in the southern of Bamnetnarong district and continued northeast to Chaturat district and Bueng Lahan swamp. These areas are the main waterways of the LKCW area, the Lam Khan Chu stream and the Huai Khlong Phai Ngam, for which the dominant flow patterns are braided streams. The main factors influencing flooding are geology, stream frequency, topographic wetness index, drainage density, soil, stream power index, land-use, elevation, mean annual precipitation, aspect, distance to road, distance to village, and distance to stream. The results of the logistic regression analysis shed light on these factors. All such variables were demonstrated by the β value coefficient. The area’s susceptibility to flooding was projected on a map, and it was discovered to have extremely high and high levels of susceptibility, encompassing regions up to 148.308 km2 (8.566%) and 247.421 km2 (14.291%), respectively, in the vicinity of the two main river sides of the watershed. As a result of this research the flood susceptibility map will be used as a guideline for future flood planning and monitoring.

flood susceptibilitylogistic regression analysisLam Khan Chu watershedChaiyaphumThailand

Acknowledgments to the U.S. Geological Survey (Earth Explorer Homepage: https://earthexplorer.usgs.gov/), and gratefully acknowledge for Suan Sunandha Rajabhat University Research Grant

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The authors declare that there are no conflicts of interest present.