Quality of flood extents delineated by a non-hydrodynamic GIS tool

Caletka, Martin; Michalková, Monika Šulc; Martin, Koli; Trizna, Milan

doi:10.1016/j.catena.2018.12.032

Cited by 4 publications

(9 citation statements)

References 87 publications

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“…This (DMR 3.5) is therefore not suitable for hydrodynamic modeling of flood scenarios. These lacks in terrain models are confirmed by the work of Caletka [50]. Next Table 4 presents an evaluation of the individual quality components of spatial data produced by means of DMR available for the territory of the Slovak Republic, supplemented with local geodetic measurements The assessment also takes into account the production of DMR 5.0, already covering a substantial part of the Slovak Republic (not included east part of Slovakia) and with the expectation of creating the final version by 2022.…”

Section: Resultsmentioning

confidence: 65%

“…This (DMR 3.5) is therefore not suitable for hydrodynamic modeling of flood scenarios. These lacks in terrain models are confirmed by the work of Caletka [50].…”

Section: Resultsmentioning

confidence: 68%

“…Wechsler [45] shows that GIS significantly supports hydrodynamic modeling by presenting topographic features of the observed phenomenon. GIS is not only a flexible system for flood modeling, collecting different types of spatial and structured data, but also a supporting tool in various decision-making processes [49,50]. This support is also evident in the observation of spatio-temporal changes in flood events [51].…”

Section: Overview Of Spatial Data Quality Aspectsmentioning

confidence: 99%

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Evaluation of Selected Sub-Elements of Spatial Data Quality on 3D Flood Event Modeling: Case Study of Prešov City, Slovakia

et al. 2020

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Weather-related disasters represent a major threat to the sustainable development of society. This study focuses directly on the assessment of the state of spatial information quality for the needs of hydrodynamic modeling. Based on the selected procedures and methods designed for the collection and processing of spatial information, the aim of this study was to assess their qualitative level of suitability for 3D flood event modeling in accordance with the Infrastructure for Spatial Information in the European Community (INSPIRE) Directive. In the evaluation process we entered geodetic measurements and the digital relief model 3.5 (DMR 3.5) available for the territory of the Slovak Republic. The result of this study is an assessment of the qualitative analysis on three levels: (i) main channel and surrounding topography data from geodetic measurements; (ii) digital relief model; and (iii) hydrodynamic/hydraulic modeling. The qualitative aspect of the input data shows the sensitivity of a given model to changes in the input data quality condition. The average spatial error in the determination of a point’s position was calculated as 0.017 m of all measured points along a watercourse and its slope foot and slope edge. Although the declared accuracy of DMR 3.5 is assumed to be ±2.50 m, in some of the sections in the selected area there were differences in elevation up to 4.79 m. For this reason, we needed a combination of DMR 3.5 and geodetic measurements to refine the input model for the process of hydrodynamic modeling. The quality of the hydrological data for the monitored N annual flow levels was of fourth-class reliability for the selected area.

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Section: Resultsmentioning

confidence: 65%

“…This (DMR 3.5) is therefore not suitable for hydrodynamic modeling of flood scenarios. These lacks in terrain models are confirmed by the work of Caletka [50].…”

Section: Resultsmentioning

confidence: 68%

Section: Overview Of Spatial Data Quality Aspectsmentioning

confidence: 99%

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Evaluation of Selected Sub-Elements of Spatial Data Quality on 3D Flood Event Modeling: Case Study of Prešov City, Slovakia

et al. 2020

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“…This provided a spatially complete floodplain map as an alternative from the FIRM. However, the challenge in developing these models is usually hindered by the availability of data and ease of implementation [22]. Although the floodplain map delineated by Woznicki et al [21] produced a detailed delineation of floodplains, it also required intricate machine learning skills to generate the map.…”

Section: Introductionmentioning

confidence: 99%

“…An alternative to this is called the "bathtub" approach. This technique also uses a digital terrain analysis approach but solely uses geographic information systems (GIS) in analyzing primarily the topography of an area to determine the low-lying areas that are prone to flooding using a DEM [22]. Areas at risk of flooding are determined by comparing land elevation and a simulated water surface elevation.…”

Section: Introductionmentioning

confidence: 99%

Application of Nonhydraulic Delineation Method of Flood Hazard Areas Using LiDAR-Based Data

et al. 2020

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Fluvial dynamics are an important aspect of land-use planning as well as ecosystem conservation. Lack of floodplain and flood inundation maps can cause severe implication on land-use planning and development as well as in disaster management. However, flood hazard delineation traditionally involves hydrologic models and uses hydraulic data or historical flooding frequency. This entails intensive data gathering, which leads to extensive amount of cost, time, and complex models, while typically only covers a small portion of the landscape. Therefore, alternative approaches had to be explored. This study explores an alternative approach in delineating flood hazard areas through a straightforward interpolation process while using high-resolution LiDAR-based datasets. The objectives of this study are: (1) to delineate flood hazard areas through a straightforward, nonhydraulic, and interpolation procedure using high-resolution (LiDAR-based) datasets and (2) to determine whether using high-resolution data, coupled with a straightforward interpolation procedure, will yield reliable potential flood hazard maps. Results showed that a straightforward interpolation method using LiDAR-based data produces a reliable potential flood zone map. The resulting map can be used as supplementary information for rapid analysis of the topography which could have implications in area development planning and ecological management and best practices.

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Quality of flood extents delineated by a non-hydrodynamic GIS tool

Cited by 4 publications

References 87 publications

Evaluation of Selected Sub-Elements of Spatial Data Quality on 3D Flood Event Modeling: Case Study of Prešov City, Slovakia

Evaluation of Selected Sub-Elements of Spatial Data Quality on 3D Flood Event Modeling: Case Study of Prešov City, Slovakia

Application of Nonhydraulic Delineation Method of Flood Hazard Areas Using LiDAR-Based Data

Optimization of Information System Resources Integration in Port Clusters

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