Flood Warning System over Spatially Predicted Flood Spreading Area
Narongrit Waraporn, Panjaporn Truatmoraka, Suthasinee Sringenngam, Natchana Kucharoenpaisan, and Suthat Ronglong
King Mongkut’s University of Technology Thonburi, Bangkok, Thailand
Abstract—Flooding has become a catastrophic disaster recently in many cities. Flood model based the satellite images, fuzzy logic evaluation, and water capacity sensors in river were studied while GIS has been applied to various applications. We proposed a flood warning system based on our proposed hydrological river flow model and spatially predicted flood spreading model over Google map. We ran our predicted river flow model over water gates along north section of Chao Phraya River, Thailand, and compared with the actual data collected by Royal Irrigation Department. The comparison shows that the accuracy of our hydrological river flow model is over 90% during flood peak time of raining season.
Index Terms—flood warning system, hydrological river flow model, spatial flood spreading model, and earth science data
Cite: Narongrit Waraporn, Panjaporn Truatmoraka, Suthasinee Sringenngam, Natchana Kucharoenpaisan, and Suthat Ronglong, "Flood Warning System over Spatially Predicted Flood Spreading Area," Jounal of Automation and Control Engineering, Vol. 4, No. 2, pp. 117-122, April, 2016. doi:10.12720/joace.4.2.117-122
Index Terms—flood warning system, hydrological river flow model, spatial flood spreading model, and earth science data
Cite: Narongrit Waraporn, Panjaporn Truatmoraka, Suthasinee Sringenngam, Natchana Kucharoenpaisan, and Suthat Ronglong, "Flood Warning System over Spatially Predicted Flood Spreading Area," Jounal of Automation and Control Engineering, Vol. 4, No. 2, pp. 117-122, April, 2016. doi:10.12720/joace.4.2.117-122