scholarly journals Flood Evacuation Routes Based on Spatiotemporal Inundation Risk Assessment

Water ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2271
Author(s):  
Yoon Ha Lee ◽  
Hyun Il Kim ◽  
Kun Yeun Han ◽  
Won Hwa Hong
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Flood Risk Assessment ◽  
Flood Prediction ◽  
Prone Area ◽  
Auto Regressive ◽  
Flood Prone Area ◽  
Hazard Level ◽  
Evacuation Routes ◽  
Evacuation Route

For flood risk assessment, it is necessary to quantify the uncertainty of spatiotemporal changes in floods by analyzing space and time simultaneously. This study designed and tested a methodology for the designation of evacuation routes that takes into account spatial and temporal inundation and tested the methodology by applying it to a flood-prone area of Seoul, Korea. For flood prediction, the non-linear auto-regressive with exogenous inputs neural network was utilized, and the geographic information system was utilized to classify evacuations by walking hazard level as well as to designate evacuation routes. The results of this study show that the artificial neural network can be used to shorten the flood prediction process. The results demonstrate that adaptability and safety have to be ensured in a flood by planning the evacuation route in a flexible manner based on the occurrence of, and change in, evacuation possibilities according to walking hazard regions.

Flood Risk Assessment in Asian Flood Prone Area with Limited Local Data – Case Study in Pampanga River Basin, Philippines –

2016 ◽  
Vol 11 (6) ◽  
pp. 1150-1160 ◽  
Author(s):  
Miho Ohara ◽  
◽  
Naoko Nagumo ◽  
Badri Bhakta Shrestha ◽  
Hisaya Sawano ◽  
...  
Keyword(s):  
Risk Assessment ◽  
River Basin ◽  
Flood Risk ◽  
Evidence Based ◽  
Flood Risk Assessment ◽  
Damage Cost ◽  
Local Data ◽  
Prone Area ◽  
Flood Prone Area

Disaster risk assessment is vital to determining needs for disaster countermeasures and promoting their implementation. However, it is difficult to conduct evidence-based risk assessment in flood-prone areas of Asia due to area-specific characteristics such as limited local data on natural and societal conditions and local lifestyles of persons who have adapted to frequent floods. This paper proposes basic flood risk assessment considering these characteristics and explores a case study conducted in a flood-prone area of the Pampanga River basin in the Republic of the Philippines to verify our method. We surveyed local household members as part of the study to understand local situations, finding that past flood damage cost little thanks to building structures adapted to frequent flooding and to local ways of protecting property during floods. We also found that the use of depth-damage curves developed for urban areas may overestimate anticipated damage expected in future floods when these curves are applied to flood-prone rural areas. For this reason, we propose a method of flood risk assessment for evaluating the societal impact on residents’ lives using observed thresholds of inundation depth by flood simulation, rather than using a method that estimates damage cost. Application of our proposal to the case study area confirmed its applicability and effectiveness in evidence-based planning for reducing flood risk.

scholarly journals Application of the clarke-wright algorithm in determining tsunami disaster evacuation route in Purworejo district

2021 ◽  
Vol 2106 (1) ◽  
pp. 012014
Author(s):  
A Ijanatun ◽  
I Rosyida
Keyword(s):  
Time Window ◽  
Minimum Time ◽  
Tsunami Disaster ◽  
Minimal Time ◽  
Central Java ◽  
Australian Plate ◽  
Shortest Distance ◽  
Prone Area ◽  
Evacuation Routes ◽  
Evacuation Route

Abstract The potentials for tsunami in Indonesia are spread over many areas, one of which is Purworejo. Purworejo has a high tsunami potential because it is located on the Indo-Australian plate. In Central Java, Purworejo occupies the 3rd position in the tsunami-prone area. Therefore, a route is needed to evacuate the population to mitigate the tsunami. This research focuses on two sub-districts, namely Ngombol and Purwodadi. The problems in this paper are: (1) Which points can be used as evacuation sites (2) How to model tsunami evacuation routes with graphs (3) What are the optimal evacuation routes. The method used to find the evacuation route is the VRP with time window. The algorithm used is Clarke Wright algorithm. The optimal evacuation route is obtained if all points are evacuated with minimal time and distance. From nine final evacuation points, only 4 points that fulfill criteria for the shortest distance and can be accessed by vehicles. There are eight final routes with minimum time of 42 minutes. Each of depots B3 and C2 has 3 routes. Whereas each of depots C4 and C5 has 1 route.

scholarly journals PEMETAAN BAHAYA BANJIR LAHAN SAWAH DI KABUPATEN KARAWANG

2019 ◽  
Vol 19 (1) ◽  
pp. 41-45
Author(s):  
Tommi Tommi ◽  
Baba Barus ◽  
Arya Hadi Dharmawan
Keyword(s):  
Paddy Field ◽  
Flood Hazard ◽  
The Other ◽  
Flood Mapping ◽  
Flood Events ◽  
Soil Drainage ◽  
Prone Area ◽  
High Flood ◽  
Flood Prone Area ◽  
Hazard Level

Flooding is one of the natural disasters that frequently hit several countries, including Indonesia. Data from the BNPB show of the year 1815 - 2013 ranks first flood disaster events most of the other disasters that as many as 5,394 events. Karawang District was ranked 3rd highest number of flood events in West Java. Nationally data from BNPB show Karawang ranks 8th flood-prone area. The purpose of this study to analyze the level of hazard of flooding the paddy field in Karawang. The method used in analyzing the level of hazard of flooding is done by overlaying and scoring from the paddy fields map, rainfall maps, soil drainage maps, and flood events maps. The results of this study indicate the paddy field in Karawang District which has a high flood hazard level contained in the Telukjambe West, East Telukjambe, and Jayakerta Sub Disctrict.     Keywords: Hazard, flood, mapping

scholarly journals Selection of optimal escape routes in a flood-prone area based on 2D hydrodynamic modelling

2018 ◽  
Vol 20 (6) ◽  
pp. 1310-1322
Author(s):  
Peng Guo ◽  
Junqiang Xia ◽  
Meirong Zhou ◽  
Roger A. Falconer ◽  
Qian Chen ◽  
...  
Keyword(s):  
Yellow River ◽  
Water Volume ◽  
The Lower Yellow River ◽  
Hazard Degree ◽  
Proposed Model ◽  
Extreme Flood ◽  
Prone Area ◽  
Flood Prone Area ◽  
Evacuation Route

Abstract Optimizing escape routes during an extreme flood event is an effective way to mitigate casualties. In this study, a model for selecting optimal escape routes in a flood-prone area has been proposed, which includes a module for predicting the two-dimensional (2D) hydrodynamics and modules for assessing the hazard degree for evacuees, calculation of evacuation times and determination of different escape routes. In the module for determining escape routes, two evacuation schemes were used: scheme A to find optimal escape routes based on established road networks and scheme B to design a new optimal evacuation route. Extreme overbank floods occurred in the Lower Yellow River (LYR) in July 1958 (‘58.7’) and August 1982 (‘82.8’) and the proposed model was applied to select the optimal escape routes on a typical floodplain area of the LYR for these two floods. Model predictions indicated that: (i) the optimal escape routes for these two floods were the same for all three starting locations, and the optimized routes provided 3 h more time for evacuees to escape; and (ii) the time of evacuation would need to be earlier for the ‘58.7’ flood because of its larger amount of water volume and higher peak discharge.

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