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Samuel Van Ackere
Department of Geography, Ghent University, Belgium, Krijgslaan 281, 9000 Ghent, Belgium

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Review
Published: 30 October 2019 in Water
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Worldwide, flood events frequently have a dramatic impact on urban societies. Time is key during a flood event in order to evacuate vulnerable people at risk, minimize the socio-economic, ecologic and cultural impact of the event and restore a society from this hazard as quickly as possible. Therefore, detecting a flood in near real-time and assessing the risks relating to these flood events on the fly is of great importance. Therefore, there is a need to search for the optimal way to collect data in order to detect floods in real time. Internet of Things (IoT) is the ideal method to bring together data of sensing equipment or identifying tools with networking and processing capabilities, allow them to communicate with one another and with other devices and services over the Internet to accomplish the detection of floods in near real-time. The main objective of this paper is to report on the current state of research on the IoT in the domain of flood detection. Current trends in IoT are identified, and academic literature is examined. The integration of IoT would greatly enhance disaster management and, therefore, will be of greater importance into the future.

ACS Style

Samuel Van Ackere; Jeffrey Verbeurgt; Lars De Sloover; Sidharta Gautama; Alain De Wulf; Philippe De Maeyer. A Review of the Internet of Floods: Near Real-Time Detection of a Flood Event and Its Impact. Water 2019, 11, 2275 .

AMA Style

Samuel Van Ackere, Jeffrey Verbeurgt, Lars De Sloover, Sidharta Gautama, Alain De Wulf, Philippe De Maeyer. A Review of the Internet of Floods: Near Real-Time Detection of a Flood Event and Its Impact. Water. 2019; 11 (11):2275.

Chicago/Turabian Style

Samuel Van Ackere; Jeffrey Verbeurgt; Lars De Sloover; Sidharta Gautama; Alain De Wulf; Philippe De Maeyer. 2019. "A Review of the Internet of Floods: Near Real-Time Detection of a Flood Event and Its Impact." Water 11, no. 11: 2275.

Journal article
Published: 06 April 2019 in Water
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Floods can cause damage to transportation and energy infrastructure, disrupt the delivery of services, and take a toll on public health, sometimes even causing significant loss of life. Although scientists widely stress the compelling need for resilience against extreme events under a changing climate, tools for dealing with expected hazards lag behind. Not only does the socio-economic, ecologic and cultural impact of floods need to be considered, but the potential disruption of a society with regard to priority adaptation guidelines, measures, and policy recommendations need to be considered as well. The main downfall of current impact assessment tools is the raster approach that cannot effectively handle multiple metadata of vital infrastructures, crucial buildings, and vulnerable land use (among other challenges). We have developed a powerful cross-platform flood impact assessment tool (FLIAT) that uses a vector approach linked to a relational database using open source program languages, which can perform parallel computation. As a result, FLIAT can manage multiple detailed datasets, whereby there is no loss of geometrical information. This paper describes the development of FLIAT and the performance of this tool.

ACS Style

Samuel Van Ackere; Jochem Beullens; Wouter Vanneuville; Alain De Wulf; Philippe De Maeyer. FLIAT, An Object-Relational GIS Tool for Flood Impact Assessment in Flanders, Belgium. Water 2019, 11, 711 .

AMA Style

Samuel Van Ackere, Jochem Beullens, Wouter Vanneuville, Alain De Wulf, Philippe De Maeyer. FLIAT, An Object-Relational GIS Tool for Flood Impact Assessment in Flanders, Belgium. Water. 2019; 11 (4):711.

Chicago/Turabian Style

Samuel Van Ackere; Jochem Beullens; Wouter Vanneuville; Alain De Wulf; Philippe De Maeyer. 2019. "FLIAT, An Object-Relational GIS Tool for Flood Impact Assessment in Flanders, Belgium." Water 11, no. 4: 711.

Journal article
Published: 10 July 2018 in ISPRS International Journal of Geo-Information
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Floods cause major disruptions to energy supply and transportation facilities and lead to significant impacts on the society, economy, and environment. As a result, there is a compelling need for resilience and adaptation against extreme flood events under a changing climate. An accurate focal priority analysis of how societies can adapt to these changing events can provide insight into practical solutions. Besides the social, ecological, and cultural impact assessments of floods, an accurate economic impact analysis is required to define priority zones and priority measures. Unfortunately, studies show that economic impact assessments can be highly inaccurate because of the margin of error in economic value estimation of residential and industrial buildings, as they account for a large part of the total economic damage value. Therefore, tools that can accurately estimate the maximum economic damage value (or replacement value) of residential and industrial buildings are imperative. This paper outlines a methodology to estimate the maximum economic value of buildings by using a data extraction algorithm for Energy Performance Certificates (EPC), through which the replacement value can be calculated for all of the buildings in Flanders, and in addition, across Europe.

ACS Style

Samuel Van Ackere; Jochem Beullens; Alain De Wulf; Philippe De Maeyer. Data Extraction Algorithm for Energy Performance Certificates (EPC) to Estimate the Maximum Economic Damage of Buildings for Economic Impact Assessment of Floods in Flanders, Belgium. ISPRS International Journal of Geo-Information 2018, 7, 272 .

AMA Style

Samuel Van Ackere, Jochem Beullens, Alain De Wulf, Philippe De Maeyer. Data Extraction Algorithm for Energy Performance Certificates (EPC) to Estimate the Maximum Economic Damage of Buildings for Economic Impact Assessment of Floods in Flanders, Belgium. ISPRS International Journal of Geo-Information. 2018; 7 (7):272.

Chicago/Turabian Style

Samuel Van Ackere; Jochem Beullens; Alain De Wulf; Philippe De Maeyer. 2018. "Data Extraction Algorithm for Energy Performance Certificates (EPC) to Estimate the Maximum Economic Damage of Buildings for Economic Impact Assessment of Floods in Flanders, Belgium." ISPRS International Journal of Geo-Information 7, no. 7: 272.

Journal article
Published: 14 August 2015 in Energies
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Energy saving, reduction of greenhouse gasses and increased use of renewables are key policies to achieve the European 2020 targets. In particular, distributed renewable energy sources, integrated with spatial planning, require novel methods to optimise supply and demand. In contrast with large scale wind turbines, small and medium wind turbines (SMWTs) have a less extensive impact on the use of space and the power system, nevertheless, a significant spatial footprint is still present and the need for good spatial planning is a necessity. To optimise the location of SMWTs, detailed knowledge of the spatial distribution of the average wind speed is essential, hence, in this article, wind measurements and roughness maps were used to create a reliable annual mean wind speed map of Flanders at 10 m above the Earth’s surface. Via roughness transformation, the surface wind speed measurements were converted into meso- and macroscale wind data. The data were further processed by using seven different spatial interpolation methods in order to develop regional wind resource maps. Based on statistical analysis, it was found that the transformation into mesoscale wind, in combination with Simple Kriging, was the most adequate method to create reliable maps for decision-making on optimal production sites for SMWTs in Flanders (Belgium).

ACS Style

Samuel Van Ackere; Greet Van Eetvelde; David Schillebeeckx; Enrica Papa; Karel Van Wyngene; Lieven Vandevelde. Wind Resource Mapping Using Landscape Roughness and Spatial Interpolation Methods. Energies 2015, 8, 8682 -8703.

AMA Style

Samuel Van Ackere, Greet Van Eetvelde, David Schillebeeckx, Enrica Papa, Karel Van Wyngene, Lieven Vandevelde. Wind Resource Mapping Using Landscape Roughness and Spatial Interpolation Methods. Energies. 2015; 8 (8):8682-8703.

Chicago/Turabian Style

Samuel Van Ackere; Greet Van Eetvelde; David Schillebeeckx; Enrica Papa; Karel Van Wyngene; Lieven Vandevelde. 2015. "Wind Resource Mapping Using Landscape Roughness and Spatial Interpolation Methods." Energies 8, no. 8: 8682-8703.