Modelling of Flood Susceptibility Based on GIS and Analytical Hierarchy Process—A Case Study of Adayar River Basin, Tamilnadu, India

Author(s):  
Saravanan Subbarayan ◽  
S. Sivaranjani
2020 ◽  
Vol 13 (3) ◽  
pp. 1145
Author(s):  
Fabiano Peixoto Freiman ◽  
Camila De Oliveira Carvalho

A identificação de áreas suscetíveis a inundações é essencial para o gerenciamento de desastres e definição de políticas públicas. O objetivo deste trabalho é a apresentação de um método para identificação de áreas suscetíveis a inundações através da integração de informações geográficas provenientes de técnicas do Sensoriamento Remoto, as ferramentas do Sistema de Informação Geográfica (SIG), a lógica Fuzzy e a aplicação de Métodos de Análise Multicritério (MAM) Analytical Hierarchy Process (AHP). Para atingir o objetivo foi proposto um estudo de caso, localizado na Bacia do Rio Bengalas, nos municípios de Nova Friburgo e Bom Jardim (Região Serrana do Rio de Janeiro). A modelagem espacial multicritério foi realizada a partir da seleção de um conjunto de dados composto por informações geomorfológicas, hidrológicas e de uso e ocupação do solo. Como resultado, obteve-se um mapa de suscetibilidade a inundações para a região. A coerência do modelo gerado foi verificada a partir do histórico de inundações da bacia do Rio Bengalas. A metodologia, apresentou-se eficiente e adequada para a determinação de áreas suscetíveis a inundações, prevendo com sucesso a distribuição espacial de áreas com riscos a inundações.  Spatial modelling of flood-susceptible areas based on a hybrid multi-criteria model and Geographic Information System: a case study applied to the Bengalas River basin A B S T R A C TThe identification of areas susceptible to flooding is essential for disaster management and public policy making. The objective of this work is the presentation of a method for the identification of areas susceptible to floods through the integration of geographic information from Remote Sensing techniques, Geographic Information System (GIS) tools, Fuzzy logic and the application of Multicriteria Analysis Methods (MAM) Analytical Hierarchy Process (AHP). In order to achieve the objective, a case study was proposed, located in the Bengalas River Basin, in the municipalities of Nova Friburgo and Bom Jardim (Mountain Region of Rio de Janeiro). Multicriteria spatial modeling was performed by selecting a data set composed of geomorphological, hydrological and land use information. As a result, a flood susceptibility map was obtained for the region. The coherence of the generated model was verified from the flood history of the Bengalas River basin. The methodology was efficient and adequate for the determination of areas susceptible to floods, successfully predicting the spatial distribution of areas at risk of flooding.Keywords: flood susceptibility. Fuzzy logic. MAM. AHP. GIS. 


2020 ◽  
Vol 4 (1) ◽  
pp. 30-43
Author(s):  
Saras Ayu Faradita ◽  
Vinky Rahman

The fire incident in karaoke buildings in Indonesia which claimed many lives has occurred several times. According to the National Academy of Science US, the smoke toxins that come out of the fire disaster cause 50-80% of deaths. Refers to the data, it is necessary to check further about the building material response to fire during a fire incident. Masterpiece Signature Karaoke is a karaoke building that classified as large and magnificent in the city of Medan which has various material so that it is necessary to study the interior material as passive fire protection. The purpose is to find out how to assess the reliability of fire passive protection regard to the interior materials and recommendations or descriptions of right interior material planning using the Analytical Hierarchy Process (AHP). This method is efficacious to solve the problem of reliability in using interior materials as passive fire protection in Masterpiece Signature Family KTV Medan building with the results of an Adequate Level of reliability. Then, design recommendations were given for the use of interior materials in karaoke building to improve the reliability results to be better.The results are useful as information for other researchers and karaoke buildings regarding passive fire protection systems at the Masterpiece Signature Family KTV Medan.


2018 ◽  
Vol 13 (2) ◽  
pp. 369-382 ◽  
Author(s):  
Radislav TOŠIĆ ◽  
◽  
Novica LOVRIĆ ◽  
Slavoljub DRAGIĆEVIĆ ◽  
Sanja MANOJLOVIĆ

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 758 ◽  
Author(s):  
Romulus Costache ◽  
Alina Barbulescu ◽  
Quoc Bao Pham

In the present study, the susceptibility to flash-floods and flooding was studied across the Izvorul Dorului River basin in Romania. In the first phase, three ensemble models were used to determine the susceptibility to flash-floods. These models were generated by a combination of three statistical bivariate methods, namely frequency ratio (FR), weights of evidence (WOE), and statistical index (SI), with fuzzy analytical hierarchy process (FAHP). The result obtained from the application of the FAHP-WOE model had the best performance highlighted by an Area Under Curve—Receiver Operating Characteristics Curve (AUC-ROC) value of 0.837 for the training sample and another of 0.79 for the validation sample. Furthermore, the results offered by FAHP-WOE were weighted on the river network level using the flow accumulation method, through which the valleys with a medium, high, and very high torrential susceptibility were identified. Based on these valleys’ locations, the susceptibility to floods was estimated. Thus, in the first stage, a buffer zone of 200 m was delimited around the identified valleys along which the floods could occur. Once the buffer zone was established, ten flood conditioning factors were used to determine the flood susceptibility through the analytical hierarchy process model. Approximately 25% of the total delimited area had a high and very high flood susceptibility.


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