Implementing Bio-Inspired Algorithm for Pathfinding in Flood Disaster Prevention Game

Chandrawati, T. Brenda; Ratna, Anak Agung Putri; Sari, Riri Fitri

doi:10.1007/978-981-15-0058-9_3

Cited by 4 publications

(2 citation statements)

References 42 publications

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“…It is also possible to reduce local floods through natural and/or artificial water infiltration methods. The natural aspect involves planting trees to restrain water flow and increase water absorption as well as through waste management (Chandrawati et al, 2020). Meanwhile, the artificial aspect focuses on the implementation of biopore infiltration holes (LRB) in GOS and barren lands.…”

Section: Introductionmentioning

confidence: 99%

Green Open Space and Barren Land Mapping for Flood Mitigation in Jakarta, the Capital of Indonesia

Dammayatri,

Susantoro,

Wikantika

2023

IJG

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High levels of rainfall, tidal flooding, land subsidence, intensified urban development, scarce barren land and a shortage of green open spaces (GOS) are contributing factors to the persistent flooding in Jakarta. Therefore, this study was conducted to map the GOS, built-up, and barren land in the city in order to calculate the biopore infiltration hole (LRB) potential for water infiltration as part of Jakarta's flood mitigation efforts using the Landsat 8 operational land imager (OLI). The Landsat data acquired on September 11, 2019, with path/row 122/064 were processed using the Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) method for the radiometric correction, and geometric correction with a root mean square error (RMSE) of 7.57 meters. Moreover, the normalized difference vegetation index (NDVI) was applied to classify the GOS, the normalized difference built-up index (NDBI) for the built-up areas, and the normalized difference barren land index (NDBaI) for barren land areas which were further confirmed using NDBI to distinguish them from the built-up areas. It is also important to note that the LRB potential was calculated by adding the GOS and barren land, dividing the result by the ideal land area multiplied by the ideal number of holes. The results showed that the GOS, built-up area, and barren land were 8.34%, 85.29%, and 2.48%, respectively. Furthermore, the LRB potential through the optimization of GOS and barren land was found to be 70.06 km2 and produced 16,816,248 LRB (18.27% of total needed). The realization of this value is expected to reduce the potential inundation in Jakarta by 15.6%.

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Section: Introductionmentioning

confidence: 99%

Green Open Space and Barren Land Mapping for Flood Mitigation in Jakarta, the Capital of Indonesia

Dammayatri,

Susantoro,

Wikantika

2023

IJG

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“…Thus, it can be seen that the serious game can be used to carry out simulations aimed at increasing community understanding and skills regarding disaster situations and how to overcome them. Based on the advantages previously mentioned, a game has been created that educates the public to make flood prevention efforts and select safe evacuation routes during a flood, namely Flood Disaster Prevention Game [19]. This serious game will interact with players to teach about goals, problem-solving, the process of interaction, and adaptation [20].…”

Section: Introductionmentioning

confidence: 99%

Priority search simulation for flood evacuation routes using fuzzy AHP approach

Chandrawati¹,

Ratna²,

Sari³

2022

J Appl Eng Science

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A flood is an event of an increase in water volume above the standard limit due to increased rainfall, rising sea levels, storms, and others that result in submerging an area. Floods are disasters that can cause damage and loss of property, disrupt community activities and even cause loss of life. The central defiance to rescue flood victims is choosing a safe route for flood victims to reach the evacuation site. To be able to choose a safe route for flood victims, a flood evacuation simulation is made. Flood evacuation simulation is part of the game that has been created and aims to provide education about the weight of the obstacle that needs to be considered in selecting routes for flood victims. In this flood evacuation simulation, each road has obstacles. The method proposed for choosing safe routes for flood victims is the Fuzzy-based Analytical Hierarchy Process (Fuzzy AHP). The calculation of road route weight using the Fuzzy AHP method will produce the weight for each route. The smallest weight route shows the priority route and the safe route for flood victims to pass. In this case, the Fuzzy AHP method's calculation produces the lowest weight of 0.02347, which is achieved by route 5, the route passing through S-a-b-d-D. This route is a priority route that is safe for flood victims to pass through.

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Bio Inspired Optimization Algorithms in Disaster

Devi

Vijayalakshmi

2020

Procedia Computer Science

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Implementing Bio-Inspired Algorithm for Pathfinding in Flood Disaster Prevention Game

Cited by 4 publications

References 42 publications

Green Open Space and Barren Land Mapping for Flood Mitigation in Jakarta, the Capital of Indonesia

Green Open Space and Barren Land Mapping for Flood Mitigation in Jakarta, the Capital of Indonesia

Priority search simulation for flood evacuation routes using fuzzy AHP approach

Bio Inspired Optimization Algorithms in Disaster

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