{"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":"
This research was conducted in the Mae Sot
\r\nWatershed where located in the Moei River Basin at the Upper
\r\nSalween River Basin in Tak Province, Thailand. The Mae Sot
\r\nMunicipality is the largest urban area in Tak Province and situated in
\r\nthe midstream of the Mae Sot Watershed. It usually faces flash flood
\r\nproblem after heavy rain due to poor flood management has been
\r\nreported since economic rapidly bloom up in recent years. Its
\r\ncatchment can be classified as ungauged basin with lack of rainfall
\r\ndata and no any stream gaging station was reported. It was attached
\r\nby most severely flood events in 2013 as the worst studied case for
\r\nall those communities in this municipality. Moreover, other problems
\r\nare also faced in this watershed, such shortage water supply for
\r\ndomestic consumption and agriculture utilizations including a
\r\ndeterioration of water quality and landslide as well. The research
\r\naimed to increase capability building and strengthening the
\r\nparticipation of those local community leaders and related agencies to
\r\nconduct better water management in urban area was started by mean
\r\nof the data collection and illustration of the appropriated application
\r\nof some short period rainfall forecasting model as they aim for better
\r\nflood relief plan and management through the hydrologic model
\r\nsystem and river analysis system programs. The authors intended to
\r\napply the global rainfall data via the integrated data viewer (IDV)
\r\nprogram from the Unidata with the aim for rainfall forecasting in a
\r\nshort period of 7-10 days in advance during rainy season instead of
\r\nreal time record. The IDV product can be present in an advance
\r\nperiod of rainfall with time step of 3-6 hours was introduced to the
\r\ncommunities. The result can be used as input data to the hydrologic
\r\nmodeling system model (HEC-HMS) for synthesizing flood
\r\nhydrographs and use for flood forecasting as well. The authors
\r\napplied the river analysis system model (HEC-RAS) to present flood
\r\nflow behaviors in the reach of the Mae Sot stream via the downtown
\r\nof the Mae Sot City as flood extents as the water surface level at
\r\nevery cross-sectional profiles of the stream. Both models of HMS and
\r\nRAS were tested in 2013 with observed rainfall and inflow-outflow
\r\ndata from the Mae Sot Dam. The result of HMS showed fit to the
\r\nobserved data at the dam and applied at upstream boundary discharge
\r\nto RAS in order to simulate flood extents and tested in the field, and
\r\nthe result found satisfying. The product of rainfall from IDV was fair
\r\nwhile compared with observed data. However, it is an appropriate
\r\ntool to use in the ungauged catchment to use with flood hydrograph
\r\nand river analysis models for future efficient flood relief plan and
\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"}