Untitled

Abstract

Flood hydrographs are usually estimated from models on gauged catchments. Flood estimation on ungauged catchments requires relationships between model parameters and catchment characteristics. In this study, both the URBS model and Nedbor-Afstromings model (NAM) were shown to be successful in simulating flood behaviour in the upper Ping river basin, Northern Thailand. To formulate the relationships for applying to ungauged catchments, we chose the URBS model as it requires only 4 parameters whereas the NAM requires 6. The relationships between the URBS model parameters calibrated from 11 runoff stations and the corresponding catchment characteristics were adopted to estimate the URBS model parameters at 4 runoff stations in the target area as if the catchments were ungauged. The results of flood estimation obtained from the ungauged catchment approach were then compared with that gained from the gauged catchment approach. The results revealed that the proposed relationships between the URBS model parameters and catchment characteristics can be confidently applied for flood estimation of the ungauged catchments within the catchment area of the 11 stations used in the formulation process.

Regionalisation of hydrological responses under land-use change and variable data quality

“…This paper described a Thai case study of hydrological regionalisation by regressing flow response indices against available catchment property data. Although this is a well-established research area-see reviews in McMahon et al (2013), Weingartner et al (2013-this paper reports the most detailed regionalisation study yet conducted for Thailand that we are aware of (see also Schreider and Jakeman 1999, 2002, Dutta et al 2006, Post and Hartcher 2006, Rojanamon et al 2007, Mapiam and Sriwongsitanon 2009, Taesombat and Sriwongsitanon 2010, Piman and Babel 2013. The focus on using limited catchment property data and looking quantitatively at effects of data quality on regionalisation performance are also new contributions of the paper.…”

Flood Inundation Mapping and Hazard Assessment for Mitigation Analysis of Local Adaption Measures in Upper Ping River Basin, Thailand

“…Synthesis of the literature available on flood hazard mapping and evaluation of mitigation options in Ping River basin reveals a major drawback. The scope of almost all the studies was limited to assess flood characteristics using simple rainfall-runoff and 1D hydrodynamic models (e.g., Wood and Ziegler 2008;Mapiam and Sriwongsitanon 2009;Sriwongsitanon 2010;Boonrawd and Jothityangkoon 2015;Komsai et al 2016) and no study has yet been conducted for flood hazard mapping at sub-district scale for improvement in potential of locally available mitigation options.…”

Using NDII pattern for a semi-distributed rainfall-runoff model in tropical nested catchments

“…To alleviate the limitation of lumped-rainfall-runoff models, URBS was developed as a semi-distributed nonlinear rainfall runoff routing model, which can account for the spatial and temporal variation in rainfall by separating a catchment into a series of sub-catchments (Mapiam and Sriwongsitanon, 2009). Therefore, URBS claims to provide runoff estimates not only at a gauging station but also at any required locations upstream (Carroll, 2004;Malone, 1999).…”

“…Therefore, URBS claims to provide runoff estimates not only at a gauging station but also at any required locations upstream (Carroll, 2004;Malone, 1999). URBS has been applied successfully for real time flood forecasting in a range of catchments from small to very large basins in Australia and in many countries worldwide (Malone, 2006;Malone et al, 2003;Mapiam and Sriwongsitanon, 2009;Mapiam et al, 2014;Rodriguez et al, 2005;Sriwongsitanon, 2010). However, this model only addresses the distribution of travel times and does not address the effect of distributed storage capacities that affect the partitioning of moisture and hence the water balance.…”

“…The land use for the UPRB in 2013 can be classified into 6 main classes comprising forest, irrigated agriculture, rainfed agriculture, bare land, water body, and others, which cover approximately 77.40%, 3.11%, 12.54%, 1.99%, 1.23%, and 3.73% of the catchment area, respectively (Land Development Department, LDD). The landform of the UPRB varies from an undulating to a rolling terrain with steep hills at elevations of 1500-2000 m, and valleys of 330-500m (Mapiam and Sriwongsitanon, 2009;Sriwongsitanon, 2010). Chiang Dao district, north of Chiang Mai is the origin of the Ping River, which flows downstream to the south to become the inflow of the Bhumibol Dama large dam with an active storage capacity of about 9.7 billion m 3 (Sriwongsitanon, 2010).…”