Information System for Supporting Surveillance and Warning of Natural Disasters, Uttaradit Province

Main Article Content

Ratchada Kamching
Sakda Homhuan

Abstract

This research paper aims to develop an information system to support surveillance and warning on natural disasters in Uttaradit province. The research process has designed collaboration among the academic department, the Office of Disaster Prevention and Mitigation, Uttaradit and UTT TEAM. The Information system designed for natural surveillance and warning can monitor and provide warnings of 3 natural hazards, which are 1) flood, 2) landslide, and 3) forest fire. The system is operated by analyzing the risk of natural disaster from data obtained from central geographic information system database with a collection of topographical data, climate data, and the past 10-year records provided by relevant agencies. Analysis is also based on real-time data received automatically from 3 devices that have been developed, which are 1) the environment detector 2) the water flow meter in the sub-basin and 3) the surveying and alarming equipment on landslide. The information system can analyze and assess the initial stage of disaster situation for the province. It processes the information to alert in specific conditions: 1) Warning of floods from the amount of water levels in the sub-basin every 5 minutes, 2) Landslide warning from the slope level data every week, 3) Forest fire alarm according to the hotspot data reported every 3 hours. In summary, corresponding data processing enables the Office of Disaster Prevention and Mitigation, Uttaradit and UTT TEAM to monitor the current situation and immediately plan to prevent natural disasters promptly and efficiently.

Article Details

How to Cite
Kamching, R. ., & Homhuan, S. . (2020). Information System for Supporting Surveillance and Warning of Natural Disasters, Uttaradit Province. Area Based Development Research Journal, 12(4), 272–288. Retrieved from https://so01.tci-thaijo.org/index.php/abcjournal/article/view/238560
Section
Research Articles

References

Boonklong, O. (2018). Application of mathematical model in landslide risk assessment from waterflood and flash: A case study of Nopphitam district, Nakhon Si Thammarat province. Wichcha Journal Nakhon Si Thammarat Rajabhat University, 37(1), 1-11. (in Thai).

Boonprong, S., Cho, C,. Torteeka, P., Boonpook, W., & Sukawattsnavijit, C. (2018). The classification of burnt forest area by Landsat 5 TM data using CANFET. Journal of Remote Sensing and GIS Association of Thailand, 19(4), 154-166. (in Thai).

Department of Mineral Resource. (2013). Landslide risk map at community level. Retrieved February 3, 2020, from http://www.dmr.go.th/download/map57/utharadit.pdf. (in Thai).

Department of Prevention and Mitigation. (2020). 30 years “drought-flood”. Retrieved March 4, 2020, from https://thaipublica.org/2020/02/statistics-of-drought-flood-30-years/. (in Thai).

Healthinfo. (2013). Thailand in situations natural disaster. Retrieved February 25, 2020, from https://www.hiso.or.th/hiso/picture/reportHealth/ThaiHealth2013/thai2013_15.pdf. (in Thai).

Inruang, W., & Chaipimonplin, T. (2015). The prediction of landslides risk areas in Uttaradit province by applying geo-informatics technology with an artificial neural network. Journal of Social Sciences Srinakharinwirot University, 18(1), 191-207. (in Thai).

National Statistical office. (2013). Summary of flood impact data And establishments, commercial businesses and service businesses. Retrieved March 3, 2020, from https://www.ryt9.com/s/nso/1639475. (in Thai).

Ngao, K., Suwa, A., Suwa, A., & Thongsuk S. (2016). An implementation of agriculture environment sensors system and monitor via smart phone. Journal of Project in Computer Science and Information Technology, 2(1), 60-66. (in Thai).

Office of Natural Resources and Environmental Policy and Planning. (2017). Database for situation reporting environmental quality in Thailand. Retrieved February 2, 2020, from http://www.onep.go.th/env_data/2016/01_77/. (in Thai).

Office of Uttaradit Provincial Disaster Prevention and Mitigation. (2020). Disaster prevention and mitigation plan for colds Uttaradit. Uttaradit, Thailand. (in Thai).

Pantuna, N., Datdacha, S., & Rawicha, C. (2012). Novel water level sensing for the canals in Bangkok. RMUTP Research Journal, 6(1), 169-179. (in Thai).

Ruangsiriwattanakul, C. (2019). The development of prototype equipment for information system of environmental monitoring and production factor in agroforestry area, Uttaradit, Thailand. Applied Mechanics and Materials, 886, 233-239.

Srisang, P., Katathikarnkul, S., & Mani, M. (2014). Water level gauge to transmit data using wireless sensor networks. Thaksin University Journal, 17(3), 51-59. (in Thai).

Suksabai, K., & Nakhapakorn, K. (2014). Fire detection using LANDSAT thermal data: In SaiYok district, Kanchanaburi province, Thailand. Thai Science and Technology Journal, 22(4), 462-473. (in Thai).

Suk-ueng, K., Phrommarat, B., Nanglae, S., Changruenngam, T., & Sudsanit, S. (2017). Mapping of landslide susceptibility area using geographic information system and logi. Veridian E-Journal Science and Technology Silpakorn University, 4(6), 1-10. (in Thai).

Suteerasak, T., & Tohwanlong, W. (2016). Application of basic mathematics to the studying of hillside slope and soil surface of landslide area: A Case study of Phuket province. KMUTT Research and Development Journal, 39(4), 439-510. (in Thai).

Thammathiwat, A., Thipwong, S., Pangsai, N., & Ongoad, N. (2015). The construction of disaster warning and monitoring system of Phetchabun province. Proceeding of National Academic Conference No. 2 “Research for Local Development”, (p.83-88). Phetchabun Rajabhat University, Phetchabun. (in Thai).