Hydrological Analysis of Batu Dam, Malaysia in the Urban Area: Flood and Failure Analysis Preparing for Climate Change

Omar, Siti Mariam Allias; Ariffin, Wan Noorul Hafilah Wan; Sidek, Lariyah Mohd; Basri, Hidayah; Khambali, Mohd Hazri Moh; Ahmed, Ali Najah

doi:10.3390/ijerph192416530

Cited by 8 publications

(2 citation statements)

References 22 publications

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“…This analysis is carried out to determine the condition of water flow in drainage channels, and rivers and the capacity or ability of drainage channels to carry discharge according to the topographical conditions of the drainage and to analyze hydraulic details. In this analysis, a numerical model analysis of the planned drainage system was also carried out [14], [15], [15].…”

Section: Hydrology and Hydraulics Analysismentioning

confidence: 99%

Study of Characteristics and Management of Drainage Problems in Ubud District

Suryanti

Putri

2023

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Ubud District is one of the tourism areas in Bali which is growing very rapidly. Ubud District has problems related to inundation and flooding which often occur during the rainy season. The drainage canals cannot accommodate the peak flood discharge. Because the capacity of the channel is insufficient, besides the influence of sediment and garbage, water overflows through the freeboard of the channel. This study aims to determine the characteristics of inundation and drainage in Ubud District. Primary and secondary data are used in this study which will then be used in data analysis. The analytical method used are field survey, identification of inundation and flood locations, inventory of existing drainage system, hydrology and hydraulics analysis, and drainage network planning. The result is 27 inundation locations were found in Ubud District. The inundation locations included 5 points in Lodtunduh Village, 3 points in Mas Village, 2 points in Peliatan Village, 5 points in Petulu Village, 2 points in Sayan Village, and 10 points in Ubud Village. The duration of the inundation that occurs is a minimum of 15 minutes and a maximum of 360 minutes. The height of the inundation that occurs is 12 – 50 cm with an inundation area of 0.032 – 4.67 ha and an inundation length of 12 – 2.309 m. The frequency of inundation is 3 to 10 times per year. Parameters for determining priority for drainage management based on priority scale are determined based on the characteristic parameters of inundation, economic losses, social disturbances and government facilities, transportation disturbances, and losses in residential areas. The recommendations given include normalizing the existing canal with river stone pairs of the required size that are more adequate to accommodate water discharge, especially during rains; making diversion channel with precast box culvert with the required size; and construction of new channels equipped with inlet drains per segment as entry points for inundation on the roads into the drainage channels.

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Section: Hydrology and Hydraulics Analysismentioning

confidence: 99%

Study of Characteristics and Management of Drainage Problems in Ubud District

Suryanti

Putri

2023

LOGIC

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“…Climate change is altering weather patterns, leading to more extreme and frequent floods and droughts worldwide [1]. South Korea is not exempt from experiencing these climate change effects, particularly in terms of shifting rainfall patterns and intensity [2,3].…”

Section: Introductionmentioning

confidence: 99%

Flood Vulnerability Assessment of an Urban Area: A Case Study in Seoul, South Korea

Lee

Choi

et al. 2023

Water

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Climate change has led to frequent and extreme flooding events in urban areas such as Seoul, a city that is particularly vulnerable due to drainage systems that were not originally designed to handle such conditions. This study aims to develop region-specific storm risk matrices for the 25 districts in Seoul and predict storm risks. By accounting for local meteorological and geographic characteristics, these matrices will enable a more targeted approach to issuing heavy rainfall warnings, as opposed to the current nationwide system. The methodology involves calculating entropy weight based on various factors, assessing flood vulnerability, and estimating region-specific rainfall associated with warning levels. These warning levels are then used to create storm risk matrices, which are tested for conformity against historical flood events. Finally, a storm risk prediction technique is developed using rainfall forecasting data. Results demonstrate the feasibility of using the newly developed storm risk matrices to predict flood damage up to 72 h in advance. This greatly contributes to the development of effective mitigation plans for addressing climate change-driven urban flood damage. The study’s findings offer valuable insights for enhancing local-specific heavy rainfall warning systems and ensuring better preparation in the face of increasing urban flood risks due to climate change.

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