Effect of digital elevation model's resolution in producing flood hazard maps.

Flooding is one of the most devastating natural disasters occurring annually in the Philippines. A call for a solution for this malady is very challenging as well as crucial to be addressed. Mapping flood hazard is an effective tool in determining the extent and depth of floods associated with hazard level in specified areas that need to be prioritized during flood occurrences. Precedent to the production of maps is the utilization of reliable and accurate topographic data. In the present study, the performance of 3 digital elevation models having different resolution was evaluated with the aid of flood modeling software such as hydrologic engineering centre-hydrologic modeling system and hydrologic engineering centre-river analysis system. The two-dimensional models were processed using three different digital elevation models, captured through light detection and ranging, interferometric synthetic aperture radar, and synthetic aperture radar technologies, to simulate and compare the flood inundation of 5-, 25- 100-year return periods. The accuracy of the generated flood maps was carried out using statistical analysis tools - Overall accuracy, F-measure and root-mean-square-error. Results reveal that using light detection and ranging–digital elevation model, the overall accuracy of the flood map is 82.5% with a fitness of 0.5333 to ground-truth data and an error of 0.32 meter in simulating flood depth which implies a promising performance of the model compared to other data sources. Thus, higher resolution digital elevation model generates more accurate flood hazard maps while coarser resolution over-predicts the flood extent.

[1]  G. Schumann,et al.  Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM , 2008 .

[2]  S. Anders Brandt Resolution issues of elevation data during inundation modeling of river floods , 2005 .

[3]  V. Merwade,et al.  Effect of topographic data, geometric configuration and modeling approach on flood inundation mapping , 2009 .

[4]  Seung Oh Lee,et al.  Simplified Flood Inundation Mapping Based On Flood Elevation-Discharge Rating Curves Using Satellite Images in Gauged Watersheds , 2014 .

[5]  M. Podhorányi,et al.  Effects of LIDAR DEM resolution in hydrodynamic modelling: model sensitivity for cross-sections , 2013, Int. J. Digit. Earth.

[6]  Jeffrey G. Arnold,et al.  Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations , 2007 .

[7]  Roland R. Draxler,et al.  Root mean square error (RMSE) or mean absolute error (MAE) , 2014 .

[8]  D. Walling,et al.  MODELLING FLOOD HYDRAULICS AND OVERBANK DEPOSITION ON RIVER FLOODPLAINS , 1997 .

[9]  A. Casas,et al.  The topographic data source of digital terrain models as a key element in the accuracy of hydraulic flood modelling , 2006 .

[10]  Kevin J. McGuire,et al.  Evaluation of Lidar-derived DEMs through Terrain Analysis and Field Comparison , 2015 .

[11]  Getahun Ys,et al.  Flood Hazard Assessment and Mapping of Flood Inundation Area of the Awash River Basin in Ethiopia using GIS and HEC-GeoRAS/HEC-RAS Model , 2015 .

[12]  P. Bates,et al.  Effects of spatial resolution on a raster based model of flood flow , 2001 .

[13]  P. Krause,et al.  COMPARISON OF DIFFERENT EFFICIENCY CRITERIA FOR HYDROLOGICAL MODEL ASSESSMENT , 2005 .

[14]  Cynthia A. Brewer,et al.  COLOR REPRESENTATION OF ASPECT AND SLOPE SIMULTANEOUSLY , 1991 .

[15]  Alan K. Zundel,et al.  IMPACT OF VARIED DATA RESOLUTION ON HYDRAULIC MODELING AND FLOODPLAIN DELINEATION 1 , 2003 .

[16]  P. Pilesjö,et al.  Estimating slope from raster data: a test of eight different algorithms in flat, undulating and steep terrain , 2011 .

[17]  M. Werner,et al.  Impact of grid size in GIS based flood extent mapping using a 1D flow model , 2001 .

[18]  A. Haile,et al.  Effects of LIDAR DEM resolution in flood modelling : a model sensitivity study for the city of Tegucigalpa, Honduras , 2005 .

[19]  Mike J. Smith Digital elevation models for research: UK datasets, copyright and derived products , 2010 .

[20]  M. Fleming,et al.  HYDROLOGIC MODELING SYSTEM (HEC-HMS): , 2005 .

[21]  F. J. Tan,et al.  Floodplain Modelling of Malaking-Ilog River in Southern Luzon, Philippines Using LiDAR Digital Elevation Model for the Design of Water-Related Structures , 2017 .

[22]  Witold F. Krajewski,et al.  Using LiDAR surveys to document floods: A case study of the 2008 Iowa flood , 2017 .

[23]  The e ff ect of watershed scale on HEC-HMS calibrated parameters : a case study in the Clear Creek watershed in Iowa , USA , 2013 .

[24]  P. Bates,et al.  Integration of high-resolution topographic data with floodplain flow models. , 2000 .

[25]  George Hripcsak,et al.  Technical Brief: Agreement, the F-Measure, and Reliability in Information Retrieval , 2005, J. Am. Medical Informatics Assoc..

[26]  James D. Giglierano LiDAR basics for natural resource mapping applications , 2010 .

[27]  I. J. Dowman,et al.  Integration of LIDAR and IFSAR for mapping , 2004 .

[28]  Richard H. McCuen,et al.  HIGHWAY HYDROLOGY: HYDRAULIC DESIGN SERIES NO. 2 , 1996 .

[29]  P. Santos,et al.  Hydraulic modelling of the flood prone area in a basin with a historical report of urban inundation: The Arunca River case (Central Portugal) , 2012 .

[30]  A. Hudak,et al.  A Comparison of Accuracy and Cost of LiDAR versus Stand Exam Data for Landscape Management on the Malheur National Forest , 2011, Journal of Forestry.

[31]  Manuel A. Aguilar,et al.  Modelling vertical error in LiDAR-derived digital elevation models , 2010 .

[32]  T. Chai,et al.  Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature , 2014 .

[33]  G. Wedajo LiDAR DEM Data for Flood Mapping and Assessment; Opportunities and Challenges: A Review , 2017 .

[34]  S. Lane,et al.  A method for parameterising roughness and topographic sub-grid scale effects in hydraulic modelling from LiDAR data , 2010 .

[35]  Development of Predictive Relationships for Flood Hazard Assessments in Ungaged Basins , 2016 .

[36]  Susan L. Cutter,et al.  Assessing Flood Hazard Zones in the Absence of Digital Floodplain Maps: Comparison of Alternative Approaches , 2007 .

[37]  Paul D. Bates,et al.  Optimal use of high‐resolution topographic data in flood inundation models , 2003 .

[38]  Bryan Mercer Intermap 2 Comparing LIDAR and IFSAR : What can you expect ? , 2001 .

[39]  S. Saksena Investigating the role of dem resolution and accuracy on flood inundation mapping , 2015 .

[40]  Paul D. Bates,et al.  Floodplain friction parameterization in two‐dimensional river flood models using vegetation heights derived from airborne scanning laser altimetry , 2003 .

[41]  B. Sanders Evaluation of on-line DEMs for flood inundation modeling , 2007 .