Is Bangkok at risk of marine flooding? Evidence relating to the historical floods of AD 1785 and 1983

Terry, James P.; Winspear, Nigel; Goff, James

doi:10.1007/s11069-020-04347-4

Cited by 7 publications

(3 citation statements)

References 43 publications

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“…Overall, the synchronization of the coastal processes with the pluvial ones substantially impacts the

{S}_{I}

and the compound inundation. For example, the time between the peak storm surge and high astronomical tide levels can greatly affect the total water levels due to the non‐linear interaction (Tanim & Goharian, 2021; Terry et al., 2021). If the astronomical tide flooding mechanisms are not considered, the worst case (i.e., all input parameters are at their maximum value) simulation has a lower mean Flood Rank (

\overline{{F}_{R}}=0.93

) than other simulations (e.g.,

\overline{{F}_{R}}=0.95

for Simulation 709) at the middle segment, despite having a higher mean

{S}_{I}

(1 vs. 0.70) at this region.…”

Section: Discussionmentioning

confidence: 99%

Compound Inundation Modeling of a 1‐D Idealized Coastal Watershed Using a Reduced‐Physics Approach

Santiago‐Collazo,

Bilskie,

Bacopoulos

et al. 2024

Water Resources Research

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Low‐gradient coastal watersheds are susceptible to flooding caused by various flows such as rainfall‐runoff, astronomical tides, storm surges, and riverine flows. Compound flooding occurs when at least one coastal flood driver occurs simultaneously or in close succession with a pluvial and/or fluvial flood driver, such as during a tropical cyclone event. This study presents a one‐dimensional (1‐D), reduced‐order physics compound inundation model tested over an idealized coastal watershed transect under various forcing conditions (e.g., coastal and pluvial) that varied in magnitude, time, and space. This study aims to evaluate each flooding mechanism and the associated hydrodynamic responses by performing a sensitivity analysis and developing a non‐linear equation that could correlate the flood drivers with the severity of its flood. Compound inundation levels are affected by the magnitude and timing of each flooding mechanism. Results highlight the need to consider momentum exchange during a compound event and the importance of reduced‐physics approaches that can improve the interaction between flood drivers when paired with a moving coupling node approach. The desire is a more holistic compound inundation model that can be a critical tool for decision‐makers, stakeholders, and authorities who provide evacuation planning to save human lives and enhance resilience.

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“…Overall, the synchronization of the coastal processes with the pluvial ones substantially impacts the

{S}_{I}

\overline{{F}_{R}}=0.93

) than other simulations (e.g.,

\overline{{F}_{R}}=0.95

for Simulation 709) at the middle segment, despite having a higher mean

{S}_{I}

(1 vs. 0.70) at this region.…”

Section: Discussionmentioning

confidence: 99%

Compound Inundation Modeling of a 1‐D Idealized Coastal Watershed Using a Reduced‐Physics Approach

Santiago‐Collazo,

Bilskie,

Bacopoulos

et al. 2024

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…Overall, the synchronization of the coastal processes substantially impacts the SI and the compound inundation. For example, the time between the peak storm surge and high astronomical tide levels can greatly affect the total water levels due to the non-linear interaction (Tanim & Goharian, 2021;Terry et al, 2021), especially at the hydrologic FHZ. If the astronomical tide flooding mechanisms are not considered, the worst case (i.e., all input parameters are at their maximum value) simulation has a lower Flood Rank (𝐹 = 0.8) than other simulations (e.g., 𝐹 = 0.83 for Simulation 90) at the hydrologic FHZ, despite having a higher SI (1 vs. 0.62).…”

Section: Discussionmentioning

confidence: 99%

Pre-Print: Compound Inundation Modeling of a 1-D Idealized Coastal Watershed Using a Reduce-Physics Approach

Santiago-Collazo,

Bilskie,

Bacopoulos

et al. 2024

Preprint

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Low-gradient coastal watersheds are susceptible to flooding caused by various flows such as rainfall-runoff, astronomical tides, storm surges, and riverine flows. Compound flooding occurs when at least one coastal flood driver occurs simultaneously or in close succession with a pluvial and/or fluvial flood driver, such as during a tropical cyclone event. This study presents a one-dimensional (1-D), reduced-order physics compound inundation model tested over an idealized coastal watershed transect under various forcing conditions (e.g., storm surge, astronomical tides, and rainfall) that varied in magnitude, time, and space. This study aims to evaluate each flooding mechanism and the associated hydrodynamic responses to identify generalized coastal transition zones and enhance the production of flood maps for varying regions in a coastal watershed. Compound inundation levels are affected by the magnitude and timing of each flooding mechanism. The desire is a more holistic compound inundation model that can be a critical tool for decision-makers, stakeholders, and authorities who provide evacuation planning to save human lives and enhance resilience.

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“…Many low-lying coastal cities will confront significant challenges in flood management in the context of climate change [1][2][3]. Increases in surface runoff into rivers have resulted from expanding urbanisation [4], and increased intensity and frequency of storm events with climate change [5].…”

Section: Introductionmentioning

confidence: 99%

Evaluating Capability of Green Stormwater Infrastructure on Large Properties toward Adaptive Flood Mitigation: The HLCA+C Methodology

Muangsri

McWilliam

Lawson

et al. 2022

Land

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Current flood protection capacities will become inadequate to protect many low-lying coastal cities from climate change-induced flooding in the future. Under climate change uncertainty, an adaptive strategy is required to provide supplemental flood mitigation. Green Stormwater Infrastructure (GSI) in developed areas has the potential to provide substantial catchment runoff reduction. However, individual properties vary in their Flood Mitigation Capability (FMC) depending on their land characteristics. An effective methodology is needed to evaluate the FMC of properties to help urban planners determine which to target for GSI and when to implement GSI in light of increased climate change impacts. We advance the Hydrology-based Land Capability Assessment and Classification (HLCA+C) methodology for evaluating the FMC of large properties over the long term (80 to 100-year). It builds on the strengths of existing methodologies and uses a land unit analysis approach for assessing FMC, considering interdependent hydrological and geographical variables. The FMC classification system groups properties with similar flood mitigation characteristics, helping urban planners to understand their potentials and limitations for flood mitigation toward the development of adaptive strategies through time. Step-by-step instructions demonstrate how to apply the methodology to any low-lying coastal city.

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Is Bangkok at risk of marine flooding? Evidence relating to the historical floods of AD 1785 and 1983

Cited by 7 publications

References 43 publications

Compound Inundation Modeling of a 1‐D Idealized Coastal Watershed Using a Reduced‐Physics Approach

Compound Inundation Modeling of a 1‐D Idealized Coastal Watershed Using a Reduced‐Physics Approach

Pre-Print: Compound Inundation Modeling of a 1-D Idealized Coastal Watershed Using a Reduce-Physics Approach

Evaluating Capability of Green Stormwater Infrastructure on Large Properties toward Adaptive Flood Mitigation: The HLCA+C Methodology

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