{"title":"Rainfall and Flood Forecast Models for Better Flood Relief Plan of the Mae Sot Municipality","authors":"S. Chuenchooklin, S. Taweepong, U. Pangnakorn","volume":99,"journal":"International Journal of Industrial and Manufacturing Engineering","pagesStart":219,"pagesEnd":225,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10000743","abstract":"<p>This research was conducted in the Mae Sot<br \/>\r\nWatershed where located in the Moei River Basin at the Upper<br \/>\r\nSalween River Basin in Tak Province, Thailand. The Mae Sot<br \/>\r\nMunicipality is the largest urban area in Tak Province and situated in<br \/>\r\nthe midstream of the Mae Sot Watershed. It usually faces flash flood<br \/>\r\nproblem after heavy rain due to poor flood management has been<br \/>\r\nreported since economic rapidly bloom up in recent years. Its<br \/>\r\ncatchment can be classified as ungauged basin with lack of rainfall<br \/>\r\ndata and no any stream gaging station was reported. It was attached<br \/>\r\nby most severely flood events in 2013 as the worst studied case for<br \/>\r\nall those communities in this municipality. Moreover, other problems<br \/>\r\nare also faced in this watershed, such shortage water supply for<br \/>\r\ndomestic consumption and agriculture utilizations including a<br \/>\r\ndeterioration of water quality and landslide as well. The research<br \/>\r\naimed to increase capability building and strengthening the<br \/>\r\nparticipation of those local community leaders and related agencies to<br \/>\r\nconduct better water management in urban area was started by mean<br \/>\r\nof the data collection and illustration of the appropriated application<br \/>\r\nof some short period rainfall forecasting model as they aim for better<br \/>\r\nflood relief plan and management through the hydrologic model<br \/>\r\nsystem and river analysis system programs. The authors intended to<br \/>\r\napply the global rainfall data via the integrated data viewer (IDV)<br \/>\r\nprogram from the Unidata with the aim for rainfall forecasting in a<br \/>\r\nshort period of 7-10 days in advance during rainy season instead of<br \/>\r\nreal time record. The IDV product can be present in an advance<br \/>\r\nperiod of rainfall with time step of 3-6 hours was introduced to the<br \/>\r\ncommunities. The result can be used as input data to the hydrologic<br \/>\r\nmodeling system model (HEC-HMS) for synthesizing flood<br \/>\r\nhydrographs and use for flood forecasting as well. The authors<br \/>\r\napplied the river analysis system model (HEC-RAS) to present flood<br \/>\r\nflow behaviors in the reach of the Mae Sot stream via the downtown<br \/>\r\nof the Mae Sot City as flood extents as the water surface level at<br \/>\r\nevery cross-sectional profiles of the stream. Both models of HMS and<br \/>\r\nRAS were tested in 2013 with observed rainfall and inflow-outflow<br \/>\r\ndata from the Mae Sot Dam. The result of HMS showed fit to the<br \/>\r\nobserved data at the dam and applied at upstream boundary discharge<br \/>\r\nto RAS in order to simulate flood extents and tested in the field, and<br \/>\r\nthe result found satisfying. The product of rainfall from IDV was fair<br \/>\r\nwhile compared with observed data. However, it is an appropriate<br \/>\r\ntool to use in the ungauged catchment to use with flood hydrograph<br \/>\r\nand river analysis models for future efficient flood relief plan and<br \/>\r\nmanagement.<\/p>\r\n","references":"[1] Arnold, D., \u201cThe situation of Burmese migrant workers in Mae Sot,\r\nThailand\u201d. Southeast Asia Research Centre (SEARC), Working Papers\r\nSeries, No. 71, 2004.\r\n[2] Tak Chamber, \u201cInformation of Tak Province and Mae Sot District\u201d (in\r\nThai), retrieved from http:\/\/www.takchamber.com\r\n[3] Thai Meteorological Department (TMD), Climate data for Mae Sot in\r\n1981\u20132010, 2011.\r\n[4] Maneepong, C., \u201cRegional policy thinking and industrial development in\r\nThai border town\u201d. Labour and Management in Development Journal,\r\nVolume 6, Number 4, Asia Pacific Press, 2006.\r\n[5] Hydro and Agro Informatics Institute (HAII), \u201cInformation of 25-river\r\nbasins in Thailand\u201d (in Thai). Available from http:\/\/www.haii.or.th\r\n[6] U.S. Army Corps of Engineers (USACE), \u201cHydrological Modeling\r\nSystem HEC-HMS: User Manual Version 3.4\u201d, Retrieved from\r\nhttp:\/\/www.hec.usace.army.mil. Public distribution unlimited, 2009.\r\n[7] U.S. Army Corps of Engineers (USACE), \u201cHEC-RAS River Analysis\r\nSystem: Hydraulics reference manual version 4.1\u201d, Retrieved from\r\nhttp:\/\/www.hec.usace.army.mil. Public distribution unlimited, 2010.\r\n[8] Chuenchooklin, S., \u201cStreamflow modeling for a small watershed using\r\nlimited hydrological data\u201d, WASET J. Vol.6 No.10, article:160, 2012\r\n[9] Unidata, \u201cIntegrated Data Viewer IDV program and user guide\u201d,\r\nUnidata Program Center University Corporation for Atmospheric\r\nResearch (UCAR). http:\/\/www.unidata.ucar.edu\/\r\n[10] Royal Irrigation Department (RID), \u201cUnit hydrograph for sub-basins in\r\nThailand\u201d, Hydrology Academic Paper No.1502\/08, Thailand, 2009.\r\n[11] Geo-Informatics and Space Technology Development Agency\r\n(GISTDA), \u201cSatellite images during flood in Thailand 2011\u201d, retrieved\r\nfrom website http:\/\/www.gistda.or.th.\r\n[12] Land Development Department (LDD), \u201cAerial photo images and land\r\nuses classified in 2002\u201d, retrieved from website http:\/\/www.ldd.go.th.\r\n[13] V. T. Chow, D. R. Maidment, and L. W. Mays, \u201cApplied Hydrology\u201d,\r\nMcGraw-Hill, 1988. [14] Sakolnakhon, P.N. K., Tonjan, S., and Yamada, T., \u201cNumerical\r\nsimulation of heavy rainfall in the south of Thailand with cumulus\r\nparameterization schemes and runoff forecast\u201d. Proc. of the 1st EIT\r\nconference on water resources engineering, pp.163-176, 2011.\r\n[15] Tonjan, S., \u201cAn investigation of the precipitation prediction results of\r\nthe public domain system model (WRF)\u201d, J. of Res. in Engineering &\r\nTechnology, Kasetsart University, vol.7#3, pp.27-34, 2010.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 99, 2015"}