scholarly journals Quantitative Flood Damage Evaluation Using Grid-Based Spatial Analysis Data

2021 ◽  
Vol 21 (6) ◽  
pp. 265-273
Author(s):  
Yu Jin Kang ◽  
Won-joon Wang ◽  
Haneul Lee ◽  
Kyung Tak Kim ◽  
Soojun Kim ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Urban Areas ◽  
Flood Control ◽  
Analysis Data ◽  
Flood Damage ◽  
Grid Data ◽  
Land Cover Map ◽  
Economic Analyses ◽  
Control Work ◽  
Grid Based

In Korea, flood damage occurs every year due to typhoons and heavy rains, resulting in increasing damage to human lives and properties in urban areas. To reduce the scale of flood damage, economic analyses of flood-control work are conducted as part of efficient disaster management in the context of a limited budget. In this study, a quantitative evaluation of flood damage in Ulsan due to Typhoon Chaba was conducted using multi-dimensional flood damage analysis (MD-FDA). However, the land cover map applied to MD-FDA has limited data resolution and update intervals. Examination of domestic and foreign research cases to complement these spatial analysis data showed that grid data were being used in disaster-related fields. This study evaluated whether grid data are suitable for quantitative assessment through economic analyses conducted using new spatial analysis data such as road name address digital maps and 100 × 100 m grid-based spatial analysis data. The results of this study confirm that center-point-method grid data constitute spatial analysis data suitable for economic analysis.

scholarly journals Development of Resilience Index Based on Flooding Damage in Urban Areas

Water ◽  
2017 ◽  
Vol 9 (6) ◽  
pp. 428 ◽  
Author(s):  
Eui Lee ◽  
Joong Kim
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Flood Control ◽  
Flood Damage ◽  
Urban Drainage ◽  
Damage Analysis ◽  
Damage Functions ◽  
The Status ◽  
Resilience Index ◽  
Flooding Depth

Flooding volume in urban areas is not linearly proportional to flooding damage because, in some areas, no flooding damage occurs until the flooding depth reaches a certain point, whereas flooding damage occurs in other areas whenever flooding occurs. Flooding damage is different from flooding volume because each subarea has different components. A resilience index for urban drainage systems was developed based on flooding damage. In this study, the resilience index based on flooding damage in urban areas was applied to the Sintaein basin in Jeongup, Korea. The target watershed was divided into five subareas according to the status of land use in each subarea. The damage functions between flooding volume and flooding damage were calculated by multi-dimensional flood damage analysis. The extent of flooding damage per minute was determined from the results of flooding volume per minute using damage functions. The values of the resilience index based on flooding damages were distributed from 0.797292 to 0.933741. The resilience index based on flooding damage suggested in this study can reflect changes in urban areas and can be used for the evaluation of flood control plans such as the installation, replacement, and rehabilitation of drainage facilities.

scholarly journals Analysis of Applicability of Grid-based Spatial Analysis Data for Flood Risk Assessment

2020 ◽  
Vol 20 (6) ◽  
pp. 399-406
Author(s):  
Won-joon Wang ◽  
Soojun Kim ◽  
Kyung Tak Kim ◽  
Choongke Lee ◽  
Hung Soo Kim
Keyword(s):  
Risk Assessment ◽  
Local Government ◽  
Flood Risk ◽  
Analysis Data ◽  
Flood Damage ◽  
Data Types ◽  
Grid Data ◽  
Assessment Techniques ◽  
Administrative Task ◽  
The Impact

The risk assessment techniques currently used in Korea have proven to have limitations as they provide flood risk assessments only. Although these assessment techniques comprehensively evaluate various factors such as wind and flood damage and social disruption, the administrative task-handling capacity is limited at the local government level. In this study, using electronic maps (which include building and road name addresses) and number of buildings in 31 cities and counties in Gyeonggi-do, only the statistical values located within the impact range of flood damage were extracted and evaluated for flood risk. The differences in statistical values resulting from data types were supplemented by the use of correction factors in the grid data. As a result of calculating the detailed index of each local government in Gyeonggi Province using the corrected grid data, the index was calculated in this order: Hwaseong, Yongin and Pyeongtaek. However, when the flood risk map and the number of overlapping buildings were used, the index was calculated in this revised order: Goyang City, Gwangmyeong City, and Gimpo City. This provided results that are more accurate than that of the existing methodologies.

Application of scenario technique in flood risk management

2007 ◽  
Vol 56 (4) ◽  
pp. 87-95 ◽  
Author(s):  
A. Winterscheid
Keyword(s):  
Risk Management ◽  
Flood Risk ◽  
Flood Control ◽  
Flood Damage ◽  
Flood Risk Management ◽  
Policy Framework ◽  
Limited Perspective ◽  
Integrated Flood Risk Management ◽  
Scenario Technique ◽  
Management Cycle

It is now commonly accepted that the management of flood risks has to be fulfilled within an integrated framework. About two decades ago flood risk was managed from a limited perspective predominantly by means of structural measures aimed at flood control. In contrast integrated flood risk management incorporates the complete management cycle consisting of the phases prevention, protection and preparedness. In theory it is a well described concept. In the stage of implementation, however, there is often a lack of support although a consistent policy framework exists. Consequently, the degree of implementation must be rated as inadequate in many cases. In particular this refers to the elements which focus on preparedness and prevention. The study to which this paper refers emphasises the means and potentials of scenario technique to foster the implementation of potentially appropriate measures and new societal arrangements when applied in the framework of integrated flood risk management. A literature review is carried out to reveal the state-of-the-art and the specific problem framework within which scenario technique is generally being applied. Subsequently, it is demonstrated that scenario technique is transferable to a policy making process in flood risk management that is integrated, sustainable and interactive. The study concludes with a recommendation for three applications in which the implementation of measures of flood damage prevention and preparedness is supported by scenario technique.

scholarly journals A Study on Urban Inundation Using SWMM in Busan, Korea, Using Existing Dams and Artificial Underground Waterways

Water ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 1708
Author(s):  
Yeon-Moon Choo ◽  
Sang-Bo Sim ◽  
Yeon-Woong Choe
Keyword(s):  
Climate Change ◽  
Urban Areas ◽  
Flood Damage ◽  
Virtual Model ◽  
Sustainable Cities ◽  
Annual Average ◽  
New Methods ◽  
Average Rainfall ◽  
Reduction Methods ◽  
Urbanized Areas

The annual average rainfall in Busan area is increasing, causing frequent flooding of Busan’s Suyeong and Oncheon rivers. Due to the increase in urbanized areas and climate change, it is difficult to reduce flood damage. Therefore, new methods are needed to reduce urban inundation. This study models the effects of three flood reduction methods involving Oncheon River, Suyeong River, and the Hoedong Dam, which is situated on the Suyeong. Using EPA-SWMM, a virtual model of the dam and the rivers was created, then modified with changes to the dam’s height, the installation of a floodgate on the dam, and the creation of an underground waterway to carry excess flow from the Oncheon to the Hoedong Dam. The results of this study show that increasing the height of the dam by 3 m, 4 m, or 6 m led to a 27%, 37%, and 48% reduction in flooding, respectively, on the Suyeong River. It was also found that installing a floodgate of 10 × 4 m, 15 × 4 m, or 20 × 4 min the dam would result in a flood reduction of 2.7% and 2.9%, respectively. Furthermore, the construction of the underground waterway could lead to an expected 25% flood reduction in the Oncheon River. Measures such as these offer the potential to protect the lives and property of citizens in densely populated urban areas and develop sustainable cities and communities. Therefore, the modifications to the dam and the underground waterway proposed in this study are considered to be useful.

scholarly journals Prediction of Socio-Economic Indicators for Urban Planning Using VHR Satellite Imagery and Spatial Analysis

2020 ◽  
Vol 12 (11) ◽  
pp. 1730 ◽  
Author(s):  
Gebhard Warth ◽  
Andreas Braun ◽  
Oliver Assmann ◽  
Kevin Fleckenstein ◽  
Volker Hochschild
Keyword(s):  
Spatial Analysis ◽  
Urban Planning ◽  
Urban Areas ◽  
Residential Buildings ◽  
Dynamic Change ◽  
Training Data ◽  
Infrastructure Planning ◽  
Economic Point ◽  
Steady Growth ◽  
Building Typology

Ongoing urbanization leads to steady growth of urban areas. In the case of highly dynamic change of municipalities, due to the rates of change, responsible administrations often are challenged or struggle with capturing present states of urban sites or accurately planning future urban development. An interest for urban planning lies on socio-economic conditions, as consumption and production of disposable goods are related to economic possibilities. Therefore, we developed an approach to generate relevant parameters for infrastructure planning by means of remote sensing and spatial analysis. In this study, the single building defines the spatial unit for the parameters. In the case city Belmopan (Belize), based on WorldView-1 data we manually define a city covering building dataset. Residential buildings are classified to eight building types which are locally adapted to Belmopan. A random forest (RF) classifier is trained with locally collected training data. Through household interviews focusing on household assets, income and educational level, a socio-economic point (SEP) scaling is defined, which correlates very well with the defined building typology. In order to assign socio-economic parameters to the single building, five socio-economic classes (SEC) are established based on SEP statistics for the building types. The RF building type classification resulted in high accuracies. Focusing on the three categories to describe residential socio-economic states allowed high correlations between the defined building and socio-economic points. Based on the SEP we projected a citywide residential socio-economic building classification to support supply and disposal infrastructure planning.

scholarly journals Using machine learning to produce a very high-resolution land-cover map for Ireland and beyond

2021 ◽  
Author(s):  
Geoffrey Bessardon ◽  
Emily Gleeson ◽  
Eoin Walsh
Keyword(s):  
Machine Learning ◽  
High Resolution ◽  
Land Cover ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Weather Forecasting ◽  
Land Cover Classification ◽  
Surface Processes ◽  
Land Cover Map ◽  
Very High

<p>An accurate representation of surface processes is essential for weather forecasting as it is where most of the thermal, turbulent and humidity exchanges occur. The Numerical Weather Prediction (NWP) system, to represent these exchanges, requires a land-cover classification map to calculate the surface parameters used in the turbulent, radiative, heat, and moisture fluxes estimations.</p><p>The land-cover classification map used in the HARMONIE-AROME configuration of the shared ALADIN-HIRLAM NWP system for operational weather forecasting is ECOCLIMAP. ECOCLIMAP-SG (ECO-SG), the latest version of ECOCLIMAP, was evaluated over Ireland to prepare ECO-SG implementation in HARMONIE-AROME. This evaluation suggested that sparse urban areas are underestimated and instead appear as vegetation areas in ECO-SG [1], with an over-classification of grassland in place of sparse urban areas and other vegetation covers (Met Éireann internal communication). Some limitations in the performance of the current HARMONIE-AROME configuration attributed to surface processes and physiography issues are well-known [2]. This motivated work at Met Éireann to evaluate solutions to improve the land-cover map in HARMONIE-AROME.</p><p>In terms of accuracy, resolution, and the future production of time-varying land-cover map, the use of a convolutional neural network (CNN) to create a land-cover map using Sentinel-2 satellite imagery [3] over Estonia [4] presented better potential outcomes than the use of local datasets [5]. Consequently, this method was tested over Ireland and proven to be more accurate than ECO-SG for representing CORINE Primary and Secondary labels and at a higher resolution [5]. This work is a continuity of [5] focusing on 1. increasing the number of labels, 2. optimising the training procedure, 3. expanding the method for application to other HIRLAM countries and 4. implementation of the new land-cover map in HARMONIE-AROME.</p><p> </p><p>[1] Bessardon, G., Gleeson, E., (2019) Using the best available physiography to improve weather forecasts for Ireland. In EMS Annual Meeting.Retrieved fromhttps://presentations.copernicus.org/EMS2019-702_presentation.pdf</p><p>[2] Bengtsson, L., Andrae, U., Aspelien, T., Batrak, Y., Calvo, J., de Rooy, W.,. . . Køltzow, M. Ø. (2017). The HARMONIE–AROME Model Configurationin the ALADIN–HIRLAM NWP System. Monthly Weather Review, 145(5),1919–1935.https://doi.org/10.1175/mwr-d-16-0417.1</p><p>[3] Bertini, F., Brand, O., Carlier, S., Del Bello, U., Drusch, M., Duca, R., Fernandez, V., Ferrario, C., Ferreira, M., Isola, C., Kirschner, V.,Laberinti, P., Lambert, M., Mandorlo, G., Marcos, P., Martimort, P., Moon, S., Oldeman,P., Palomba, M., and Pineiro, J.: Sentinel-2ESA’s Optical High-ResolutionMission for GMES Operational Services, ESA bulletin. Bulletin ASE. Euro-pean Space Agency, SP-1322,2012</p><p>[4] Ulmas, P. and Liiv, I. (2020). Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification, pp. 1–11,http://arxiv.org/abs/2003.02899, 2020</p><p>[5] Walsh, E., Bessardon, G., Gleeson, E., and Ulmas, P. (2021). Using machine learning to produce a very high-resolution land-cover map for Ireland. Advances in Science and Research, (accepted for publication)</p>

scholarly journals Quantum GIS (QGIS): An introduction to a free alternative to more costly GIS platforms

EDIS ◽  
2020 ◽  
Vol 2020 (2) ◽  
pp. 7
Author(s):  
Jeffry M. Flenniken ◽  
Steven Stuglik ◽  
Basil V. Iannone
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Natural Resources ◽  
Software Package ◽  
Forest Resources ◽  
Software Packages ◽  
Land Cover Map ◽  
Gis Software ◽  
Florida Springs

Geographic information system (GIS) software packages can be prohibitively expensive, causing many to shy away from mapping and spatial analysis. This 7-page fact sheet written by Jeffry M. Flenniken, Steven Stuglik, and Basil V. Iannone III and published by the UF/IFAS School of Forest Resources and Conservation introduces the reader to a free GIS software package called Quantum GIS (QGIS), walking the reader through simple GIS processes that can be used to visualize spatial patterns of importance to a variety of fields, including natural resources, agriculture, and urban planning. Learn how to create a land-cover map for a county of interest and create heatmaps that illustrate the density of a given attribute (Florida Springs for this example). This publication will benefit those interested in incorporating GIS into their work but who are unable to afford expensive proprietary GIS software packages, as well as anyone interested in learning a new GIS software package. https://edis.ifas.ufl.edu/fr428

Planning flood control projects in urban areas

1988 ◽  
Vol 2 (2) ◽  
pp. 123-140
Author(s):  
Nageshwar Rao Bhaskar ◽  
Vijay P. Singh
Keyword(s):  
Urban Areas ◽  
Flood Control

City branding of the “music-design-culinary” as urban tourism of Bandung, West Java

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thomas Bustomi ◽  
Bhakti Nur Avianto
Keyword(s):  
Data Analysis ◽  
Urban Areas ◽  
Swot Analysis ◽  
Process Analysis ◽  
Analysis Data ◽  
Urban Tourism ◽  
City Branding ◽  
Formulation Development ◽  
Content Type ◽  
New Phenomena

Purpose Bandung city had constructed new facilities in urban areas or supplemented existing facilities to create a city branding of music-design-culinary. This paper aims to assess their potential as new tourist areas for urban. This study very little research explicitly to discuss new phenomena tourism from urban areas that raise the image of three branding concepts at once. Design/methodology/approach Qualitative research more emphasized meaning and process analysis. Data analysis was carried out by looking at the status of an urban community, an object and a set of conditions in the thought system or current cases. The supporting data analysis technique used in this research is spatial analysis overlay is one of the basic ways to create spatial relationships between music, design and culinary by processing the result SWOT analysis factor. Findings Three forms of brand imaging development can ultimately lift new changes in strengthening relationships for building a good image of the tourism city with visitors. Originality/value For developing a new branding that can be implemented, the actors necessary to identify and assess internal and external factors policy for further formulation development of tourism city strategy. These articles very few research to explore discuss new phenomena in urban tourism that raise the image of three branding concepts at once. The present work was a modest effort to fill this gap literature with uses a compilation of research findings separately from city branding in various cities used as a conceptual basis and a comparative analysis is then conducted of three schemes.

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