Flood Decision Support System with Emerged Multiple Data Resources and Technologies

doi: 10.14456/mijet.2018.11

Authors

  • Somphinith Muangthong Rajamangala University of Technology Isan
  • Winai Wangpimool Department of Water Resources

Keywords:

Flood, decision support system, rainfall, water management, flood technologies

Abstract

Flood is one of the worse natural disasters that can cause losses of lives and damages large number of properties and areas worldwide. The crucial factor that leads to serious flood is the lack of data and information of rain in terms of time duration, volume of rainfall, and locations. Therefore, it is reasonable to develop the tools or systems to monitor the situation of rain in order to reduce the losses and severe conditions. This research proposes the flood decision support system using emerged multiple data resources and technologies. The technologies regarding flood management of both structural and non-structural measures were emerged with available technologies and scientific data and information, which would provide a better and faster way for analyzing and evaluating the flood situation. This monitoring information would help for the decision of the further actions for both government and local organizations to effectively reduce the risk of damage that could be caused by the flood.   

Author Biographies

Somphinith Muangthong, Rajamangala University of Technology Isan

Department of Survey Engineering

Rajamangala University of Technology Isan, Thailand

Winai Wangpimool, Department of Water Resources

Thai National Mekong Committee Secretariat,

Bureau of International River Basin Management,

Department of Water Resources, Thailand

References

[1] Disaster Prevention and Mitigation Report, Department of Disaster Prevention and Mitigation, Bangkok, Thailand, 2018.

[2] Disaster Prevention and Mitigation Report, Department of Disaster Prevention and Mitigation, Bangkok, Thailand, 2018.

[3] The Policy Committee for Water Resources Management, Bangkok, Thailand, 2018.

[4] Global Navigation Satellite System (GNSS), and high resolution of Thailand Geoid Model. Department of Water Resources. Water Management. Bangkok, Thailand, 2006.

[5] Climatological Center, Meteorological Development, Thai Meteorological Department. 2017. Monthly Weather Summary in Thailand. 153 pp.

[6] Climatological Center, Meteorological Development, Thai Meteorological Department. 2016. Monthly Weather Summary in Thailand August 2016, 12 pp.

[7] Climatological Center, Meteorological Development, Thai Meteorological Department. 2016. Monthly Weather Summary in Thailand September 2016, 9 pp.

[8] Tipaporn, H. Report on Flooded Data Collection in Thailand for Mekong Annual Flood report in 2015 and 2016. Faculty of Engineering, Nakhonphanom University, Thailand. 2017, 12 pp.

[9] Website of The Department of Disaster Prevention and Mitigation, Available on: https://www.disaster.go.th

[10] Early Warning Systems website of DWR, Available on: https://ews.dwr.go.th/ews/

[11] DWR-Telemetry Systems website for flood plain area, Available on: https://tele-khongchemun.dwr.go.th/

[12] Telemetry system for Khong basin, Available on: https://tele-khongchemun.dwr.go.th/

[13] Telemetry system for Chi basin, Available on: https://tele-khongchemun.dwr.go.th/

[14] Telemetry system for Mun basin, Available on: https://tele-khongchemun.dwr.go.th/

[15] RID telemetry System, Available on: https://www.rid.go.th

[16] Thailand Rainfall Monitoring System by GISTDA, Available on: https://flood.gistda.or.th/rainfall_monitoring

[17] HAII Rainfall and Telemetry system, Available on: https://www.thaiwater.net

[18] EGAT Telemetry systems, Available on: https://watertele.egat.co.th/PakMun/

Published

2018-12-31

How to Cite

Muangthong, S., & Wangpimool, W. (2018). Flood Decision Support System with Emerged Multiple Data Resources and Technologies: doi: 10.14456/mijet.2018.11. Engineering Access, 4(2), 68–75. Retrieved from https://ph02.tci-thaijo.org/index.php/mijet/article/view/10.14456.mijet.2018.11

Issue

Section

Research Papers