FLIAT, An Object-Relational GIS Tool for Flood Impact Assessment in Flanders, Belgium

Abstract

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.

Flood Damage Assessment Geospatial Application Using Geoinformatics and Deep Learning Classification

“…According to the review of literatures and research related to assessment of impacts and damage caused by floods using GIS and RS, it was found that there were 3 types of research, i.e., flooded area inspection [6][8-18], inspection and assessment of damage caused by floods [19][20][21][ [23][24][25][26][27][28], and the development of applications to inspect and assess damage caused by floods [23] [29]; to be described in details as follows.…”

“…For the limitation of the research, lack of data manipulation platform made it impossible to report the results of the affected areas immediately for involved persons [24]. Van et al (2019) presented a tool to inspect impacts of floods using LULC map and socio-economic data to for damage mapping, along with analysis of the flooded areas using the data of digital elevation model, hydraulic model, and hydrologic model. The development of the tools used Python programming language.…”

“…Thus, this technology helps inspecting which areas contain or do not contain floods. It can also inspect which areas are affected by floods [19][20][21][22][23][24][25][26][27][28][29]. However, there is a limitation of inspection using satellite image processing, i.e., the levels of impacts or damage in each area cannot be inspected, including other related details, e.g., damaged types of area and involved victims.…”

Identifikasi Kesiapsiagaan Guru PAUD sebagai Upaya Pengurangan Risiko Bencana Banjir di Bandung

“…Berdasarkan data temuan dari hasil wawancara dan FGD, diketahui bahwa potensi bencana banjir diantaranya adalah kondisi topografi wilayah, curah hujan, dan sikap masyarakat setempat. Potensi tersebut dapat dikatakan potensi karena dapat disebabkan oleh manusia atau dampak fisik yang dapat menyebabkan hilangnya nyawa, cedera, atau dampak kesehatan lainnya, serta kerusakan dan kerugian pada properti, infrastruktur, mata pencaharian , penyediaan layanan, ekosistem dan sumber daya lingkungan (Coppola, 2011;Van Ackere, 2019). Kondisi-kondisi tersebut merupakan kondisi yang berdampak pada perubahan tata ruang atau guna lahan di suatu daerah yang kemudian menyebabkan terjadinya banjir (Rosyidie, 2013b).…”

A Review of the Internet of Floods: Near Real-Time Detection of a Flood Event and Its Impact

“…Since FLIAT (Flood Impact Assessment Tool) is a cloud computational flood impact assessment tool, it will be possible in the future to link this tool to the Internet of Floods database [209]. In contrast to desktop-based damage assessment tools, FLIAT has the advantage of using advanced parallel computation as well.…”