A Robust Early Warning System for Preventing Flash Floods in Mountainous Area in Vietnam: Comparison
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Please note this is a comparison between Version 1 by Hoang Thanh Van and Version 3 by Lily Guo.

The early-warning model for flash floods is based on a hydrological and geomorphological concept connected to the river basin, with the principle that flash floods will only occur where there is a high potential risk and when rainfall exceeds the threshold. In the model used to build flash-floods risk maps, the parameters of the basin are analyzed and evaluated and the weight is determined using Thomas Saaty’s analytic hierarchy process (AHP). The flash-floods early-warning software is built using open source programming tools. With the spatial module and online processing, a predicted precipitation of one to six days in advance for iMETOS (AgriMedia—Vietnam) automatic meteorological stations is interpolated and then processed with the potential risk maps (iMETOS is a weather-environment monitoring system comprising a wide range of equipment and an online platform and can be used in various fields such as agriculture, tourism and services). The results determine the locations of flash floods at several risk levels corresponding to the predicted rainfall values at the meteorological stations. The system was constructed and applied to flash floods disaster early warning for Thuan Chau in Son La province when the rainfall exceeded the 150 mm/d threshold. The system initially supported positive decision-making to prevent and minimize damage caused by flash floods.

The early-warning model for flash floods is based on a hydrological and

geomorphological concept connected to the river basin, with the principle that flash floods will only

occur where there is a high potential risk and when rainfall exceeds the threshold. In the model used

to build flash-floods risk maps, the parameters of the basin are analyzed and evaluated and the

weight is determined using Thomas Saaty’s analytic hierarchy process (AHP). The flash-floods

early-warning software is built using open source programming tools. With the spatial module and

online processing, a predicted precipitation of one to six days in advance for iMETOS (AgriMedia—

Vietnam) automatic meteorological stations is interpolated and then processed with the potential

risk maps (iMETOS is a weather-environment monitoring system comprising a wide range of

equipment and an online platform and can be used in various fields such as agriculture, tourism

and services). The results determine the locations of flash floods at several risk levels corresponding

to the predicted rainfall values at the meteorological stations. The system was constructed and

applied to flash floods disaster early warning for Thuan Chau in Son La province when the rainfall

exceeded the 150 mm/d threshold. The system initially supported positive decision-making to

prevent and minimize damage caused by flash floods.

  • early warning
  • flood
  • flash floods
  • analytic hierarchy process
  • threshold
  • disaster management
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References

  1. Matkan, A.; Shakiba, A.; Pourali, H.; Azari, H. Flood early warning with integration of hydrologic and hydraulic models, RS and GIS (Case Study: Madarsoo Basin, Iran). World Appl. Sci. J. 2009, 6, 1698–1704.Thanh Van Hoang 1*, Tien Yin Chou 1, Ngoc Thach Nguyen 2, Yao Min Fang 1, Mei Ling Yeh 1, Quoc Huy Nguyen 3 and Xuan Linh Nguyen3; A Robust Early Warning System for Preventing Flash Floods in Mountainous Area in Vietnam. ISPRS International Journal of Geo-Information (ISSN 2220-9964) 2019, 8, 228;, doi:10.3390/ijgi8050228, doi:10.3390/ijgi8050228.
  2. EU Associated Programme on Flood Management (APFM). Guidance on Flash Flood Management, Recent Experiences from Central and Eastern Europe; APFM: San Diego, CA, USA, 2007.
  3. A. Forestieri; D. Caracciolo; E. Arnone; L.V. Noto; Derivation of Rainfall Thresholds for Flash Flood Warning in a Sicilian Basin Using a Hydrological Model. Procedia Engineering 2016, 154, 818-825, 10.1016/j.proeng.2016.07.413.
  4. Zogg, J.; Deitsch, K. The Flash Flood Potential Index at WFO Des Moines; National Oceanic and Atmospheric Administration: Silver Spring, MD, USA, 2013.
  5. Joost C. B. Hoedjes; André Kooiman; Ben Maathuis; Mohammed Said; Robert Becht; Agnes Limo; Mark Mumo; Joseph Nduhiu-Mathenge; Ayub Shaka; Zhongbo Su; A Conceptual Flash Flood Early Warning System for Africa, Based on Terrestrial Microwave Links and Flash Flood Guidance. ISPRS International Journal of Geo-Information 2014, 3, 584-598, 10.3390/ijgi3020584.
  6. Robert Jubach; A. Sezin Tokar; International Severe Weather and Flash Flood Hazard Early Warning Systems—Leveraging Coordination, Cooperation, and Partnerships through a Hydrometeorological Project in Southern Africa. Water 2016, 8, 258, 10.3390/w8060258.
  7. Challawala, S. MySQL 8 for Big Data; Packt Publishing: Birmingham, UK, 2017.
  8. Website of Agriculture Weather in Vietnam. Available online: http://www.thoitietnhanong.vn (accessed on 15 January 2019).
  9. Yali Wang; Ronghua Liu; Liang Guo; Jiyang Tian; Xiaolei Zhang; Liuqian Ding; Chuanhai Wang; Yizi Shang; Forecasting and Providing Warnings of Flash Floods for Ungauged Mountainous Areas Based on a Distributed Hydrological Model. Water 2017, 9, 776, 10.3390/w9100776.
  10. World Meteorological Organization. Flash Flood Guidance System; World Meteorological Organization: Geneva, Switzerland, 2007.
  11. Jie Yang; Ronald D Townsend; Bahram Daneshfar; Applying the HEC-RAS model and GIS techniques in river network floodplain delineation. Canadian Journal of Civil Engineering 2006, 33, 19-28, 10.1139/l05-102.
  12. Mehmet C. Demirel; Anabela Venâncio; Ercan Kahya; Flow forecast by SWAT model and ANN in Pracana basin, Portugal. Advances in Engineering Software 2009, 40, 467-473, 10.1016/j.advengsoft.2008.08.002.
  13. Du, C.D.; Huynh, L. Flash Floods, Cause and Prevention Solutions; Agriculture Publisher: Wallingford, UK, 2000.
  14. Ministry of Land, Infrastructure and Transport Infrastructure Development Institute. Guideline for Development of Warning and Evacuation System against Sediment Disasters in Developing Countries; Ministry of Land, Infrastructure and Transport Infrastructure Development Institute: Tsukuba, Japan, 2014; p. 102.
  15. Zhou, J.; Wang, Y.; Liu, Y. A review of an early-warning technique of flash flood and debris flow disaster. In Proceedings of the ISCO 2004—13th International Soil Conservation Organization Conference, Brisbane, Australia, 4–8 July 2004.
  16. Website of Vietnam National Centre for Hydro-Meteorological Forecasting. Available online: https://www.meteoblue.com/en/weather/forecast (accessed on 20 February 2019).
  17. Website of GENERAL STATISTICS OFFICE, VIET NAM (29). Available online: https://www.gso.gov.vn (accessed on 10 March 2019).
  18. Jirapon, S.; Chaiwat, O; Real-time flood monitoring and warning system. Sci. Technol. 2011, 33, 227–235.
  19. Website of Tay Bac Weather. Available online: http://www.thoitiethuyentaybac.com.vn (accessed on 10 March 2019).
  20. Thach, N.N.; van Kham, D. Applied Geo-Informatics; Publisher of Science and Technology: Hanoi, Vietnam, 2012; pp. 67–83.
  21. Saaty, T.L. The Analytic Hierarchy Process; McGraw-Hill: New York, NY, USA, 1980.
  22. Stanislaw, H.; Todorov, N; Calculation of signal detection theory measures. Behav. Res. Methods Instrum. Comput. 1999, 31, 137–149.
  23. Van, N.K.; Thach, N.N. Building Analysis Database for Tay Bac Region; Science Techology to Sustainable Development for North-West Vietnam: Hanoi, Vietnam, 2015; pp. 2013–2018.
  24. Schonhoff, T.A.; Giordano, A.A. Detection and Estimation Theory and Its Applications; Pearson Education: Pearson, NJ, USA, 2006; ISBN 0-13-089499-0.
  25. Eung Seok Kim; Hyun Il Choi; Estimation of the Relative Severity of Floods in Small Ungauged Catchments for Preliminary Observations on Flash Flood Preparedness: A Case Study in Korea. International Journal of Environmental Research and Public Health 2012, 9, 1507-1522, 10.3390/ijerph9041507.
  26. Joko, W; Flood early warning system develop at Garang River Semarang using information technology base on SMS and Web. Int. J. Geomat. Geosci. 2010, 1, 14–28.
  27. Ngu, N.D.; Hieu, N.T. Climate and Climate Resources Vietnam; Publisher of Science and Technology: Hanoi, Vietnam, 2013.
  28. Brewster, J. Development of the Flash Flood Potential Index. Available online: http://www.erh.noaa.gov/bgm/research/ERFFW/presentations/june_02_2010/Brewster_Jim_Development_of_FFPI (accessed on 20 February 2019).
  29. Vietnam Institute for Building Science and Techlogy, Ministry of Construction. QCXDVN 02: 2008/BXD, Vietnam Construction Standard; Vietnam Institute for Building Science and Techlogy, Ministry of Construction: Hà Nội, Vietnam, 2008.
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