Generation of Flood Map Using Infoworks for Sungai Johor

Othman, Faridah; Amin, Noor Farahain Muhammad

doi:10.30880/ijie.2018.10.02.026

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The state of Johor, in the southernmost part of PM, is one of the areas that has been affected by the excessive and erratic rainfall leading to the frequent occurrence of flood that cause the loss of lives, environmental damages, economic crisis and also drastically alter river morphology. In particular, the 2006/07 heavy rainfall event had caused major flooding in most parts of Johor (Amin and Othman 2018). As a result, it's vital to look into the state's spatiotemporal distribution of extreme rainfall which has cause a lot of concern in recent years.…”

Section: Introductionmentioning

confidence: 99%

Long-term homogeneity and trend analysis of seasonality and extreme rainfall under the influence of climate change in Johor River basin, Malaysia

2023

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Section: Introductionmentioning

confidence: 99%

Long-term homogeneity and trend analysis of seasonality and extreme rainfall under the influence of climate change in Johor River basin, Malaysia

2023

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“…Generally, 9% of Malaysia's total land area is prone to flood disaster and Malaysia experiences several flood events every year. Floods in Malaysia can be classified into two types which are monsoon floods and flash floods [2].…”

Section: Introductionmentioning

confidence: 99%

Flood modelling at Bandar Batu Pahat, Johor using HEC-RAS software

Razi

Adnan

Abustan

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Flood catastrophe continuously hit Malaysia through monsoonal flood and flash flood as well posing threat towards people, infrastructure and environment. Batu Pahat is among the district in Johor affected by flood disaster for almost every year. This study conducted to determine the hydraulic and hydrological characteristic and the ability of drainage system in Parit Besar and Jalan Pontian-Batu Pahat catchment area at Batu Pahat using HEC-RAS software. Through HEC-RAS, floodplain map was also produced to access the overview of potential floodplain areas. Survey data, geometric data and flow data were computed in HEC-RAS to produce drainage flow and cross-sectional area along the catchment area. Four (4) flow rates of 0.05284, 0.05894, 0.06910 and 0.07113 (m3/s) were utilized to identify the drainage ability to accommodate additional water. Several stations in Parit Besar catchment cannot accommodate the runoff with the minimum flow rate of 0.05284 (m3/s). Meanwhile, Jalan Pontian-Batu Pahat catchment cannot accommodate flow rates of 0.06910 and 0.07113 (m3/s). This is due to the catchment area has low elevation and insufficient drainage system. From the results, floodplain areas were identified. Modification of drainage cross-section was proposed to reduce the floodplain areas. This study is vital for better understanding of flooding and help the authorities to produce better flood management plan.

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The Potential of Stormwater Management Strategies and Artificial Intelligence Modeling Tools to Improve Water Quality: A Review

Ramovha,

Chadyiwa,

Ntuli

et al. 2024

Water Resour Manage

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Stormwater management modeling tools have been utilized to enhance stormwater operating systems, assess modeling system efficiency, and evaluate the impacts of urban growth on stormwater runoff and water quality. This review explores the potential of stormwater management strategies and Artificial Intelligence modeling tools in enhancing water quality. The study focuses on evaluating stormwater modeling tools for planning and improving stormwater systems, assessing modeling efficiency, and understanding the impacts of new development on stormwater runoff and water quality. Various stormwater modeling tools are compared to aid in water management in urban and rural settings, which is crucial due to increasing storm intensity from climate change. The review debates the advantages and limitations of different modeling tools, particularly in modeling stormwater quantity and quality under different scenarios. It also examines tools used for predicting and analysing stormwater runoff during storm events in diverse locations. The assessment of modeling tools is centred on their support for Green Infrastructure (GI) practices, considering factors like modeling accuracy, data availability, and requirements. The study highlights the importance of these tools in managing water in urban areas and safeguarding water sources during stormwater events. Notably, the accuracy and efficacy of stormwater modeling tools are influenced by input data quality, calibration methods, and standardization metrics, with the widely used Stormwater Management Model (SWMM) being a common modeling tool.

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Generation of Flood Map Using Infoworks for Sungai Johor

Cited by 3 publications

References 8 publications

Long-term homogeneity and trend analysis of seasonality and extreme rainfall under the influence of climate change in Johor River basin, Malaysia

Long-term homogeneity and trend analysis of seasonality and extreme rainfall under the influence of climate change in Johor River basin, Malaysia

Flood modelling at Bandar Batu Pahat, Johor using HEC-RAS software

The Potential of Stormwater Management Strategies and Artificial Intelligence Modeling Tools to Improve Water Quality: A Review

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