Combined Impact of Inland and Coastal Floods: Mapping Knowledge Base for Development of Planning Strategies

Karamouz, ‪Mohammad; Zahmatkesh, Zahra; Goharian, Erfan; Nazif, Sara

doi:10.1061/(asce)wr.1943-5452.0000497

Cited by 36 publications

(15 citation statements)

References 59 publications

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“…The detailed analysis of the papers allowed us to identify and classify the methodologies proposed within ten categories: remote sensing techniques, geographic information systems (GIS) techniques, combined methods (GIS-machine learning, GIS-modeling-simulation), modeling and simulation, statistical analysis, machine learning methods, comparison, survey and interviews, evaluation methods, and statistical and mathematical methods (Figure 3). Among these methodologies, the most popular methodological approach was that of modeling and simulation (hydrological, hydraulic, hydrodynamic), representing 24% of the total articles [68][69][70][71][72][73], followed by statistical analysis at 20% [74][75][76][77][78] and GIS techniques at 17% [79][80][81][82][83][84], while 16% of the articles proposed the use of combined methodologies [85][86][87][88][89]. The papers based on remote sensing techniques (analyzed via GIS environments) represented 8% of the total [90][91][92][93][94] and used ERS-1, Kompsat-2, LANDSAT, MODIS, and Sentinel-II imagery.…”

Section: Research Methods and Advances In Flood Researchmentioning

confidence: 99%

An Overview of Flood Risk Analysis Methods

Diaconu

Costache

Popa

2021

Water

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Scientific papers present a wide range of methods of flood analysis and forecasting. Floods are a phenomenon with significant socio-economic implications, for which many researchers try to identify the most appropriate methodologies to analyze their temporal and spatial development. This research aims to create an overview of flood analysis and forecasting methods. The study is based on the need to select and group papers into well-defined methodological categories. The article provides an overview of recent developments in the analysis of flood methodologies and shows current research directions based on this overview. The study was performed taking into account the information included in the Web of Science Core Collection, which brought together 1326 articles. The research concludes with a discussion on the relevance, ease of application, and usefulness of the methodologies.

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Section: Research Methods and Advances In Flood Researchmentioning

confidence: 99%

An Overview of Flood Risk Analysis Methods

Diaconu

Costache

Popa

2021

Water

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“…Partial groundwater inundation can affect retention ponds' ability to reduce peak flow rates and keep the post-development outflow lower than or equal to pre-development conditions. Apart from causing SLR, climate change can shift the pattern and frequency of precipitation, causing unprecedented surface flooding and inundation [28][29][30]. In coastal regions, if rainfall over inland areas coincides with higher sea levels (e.g., high tide), impacts of flooding could be exacerbated due to the diminished ability of terrestrial drainage.…”

Section: Introductionmentioning

confidence: 99%

Compound Inundation Impacts of Coastal Climate Change: Sea-Level Rise, Groundwater Rise, and Coastal Precipitation

Rahimi

Tavakol-Davani

Graves

et al. 2020

Water

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The importance of considering the compound effects of multiple hazards has increased in recent years due to their catastrophic impacts on human lives and property. Compound effects correspond to events with multiple concurrent or consecutive drivers, e.g., heavy storms, coastal flooding, high tides, and sea level rise (SLR). There is a recent evidence on inundation caused by SLR-driven groundwater rise, and there is a distinct knowledge gap in understanding the compound inundation effects of this phenomenon considering the important hydrologic and hydraulic considerations under compound events. To fill this knowledge gap, we developed a novel analytical framework to understand the movements of the surface flow under typical precipitation events considering their interaction with uprising groundwater and SLR in a coastal watershed located in Oakland Flatlands, CA, USA, home to several disadvantaged communities. This modelling approach simulates the dynamics of compound flooding in two dimensions of the earth surface in a fine resolution, which is critical for devising proper flood management strategies. The reason to focus on disadvantaged coastal communities is that such communities typically encounter disproportionate environmental injustices due to the lack of sufficient drainage capacity in their infrastructure. Our results show that by considering the compound effect of SLR, groundwater inundation and precipitation flooding, the drainage capacity of infrastructure will be substantially exceeded, such that over 700 acres of the built infrastructure could be flooded. This is a considerable increase compared to scenarios that do not consider compound effect, or scenarios that consider inappropriate combinations of driving factors. In sum, our results highlight the significance of considering compound effects in the coastal inundation analyses, with a particular emphasis on the role of groundwater rise.

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“…In general, approaches to assess water system vulnerability may be classified into top-down or bottom-up frameworks. The top-down method is a scenario-based framework that involves coupling models to assess the vulnerability of water supply systems (Pielke et al 2012), coastal and urban floods (Karamouz et al 2015;Zahmatkesh et al 2015a), or agricultural systems (Karamouz et al 2013b). This approach is typically driven by precipitation or streamflow observations or simulation results, often on the basis of projections from general circulation model (GCM) scenarios.…”

Section: Introductionmentioning

confidence: 99%

Vulnerability Assessment to Support Integrated Water Resources Management of Metropolitan Water Supply Systems

Goharian

Burian

Lillywhite³

et al. 2017

J. Water Resour. Plann. Manage.

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The combined actions of natural and human factors change the timing and availability of water resources and, correspondingly, water demand in metropolitan areas. This leads to an imbalance between supply and demand and, thus, an increase in the vulnerability of water supply systems. Accordingly, methods for systematic analysis and multifactor assessment are needed to estimate the vulnerability of individual components in an integrated water supply system. This paper introduces a new approach to comprehensively assess vulnerability by integrating water resource system characteristics with factors representing exposure, sensitivity, severity, potential severity, social vulnerability, and adaptive capacity. These factors provide a way to consider broader system elements beyond the traditional vulnerability evaluation methods solely on the basis of the magnitude of failure (i.e., severity). In this way, the new vulnerability index gives a more detailed assessment with the potential to recognize critical conditions and components in an integrated system. The effectiveness and advantages of the proposed approach are checked using an investigation of the water supply system of Salt Lake City (SLC), Utah. First, an integrated water resource model was developed using a system simulation software to allocate water from different sources in SLC among designated demand points. The model contains individual simulation modules with representative interconnections among the natural hydroclimate system, built water infrastructure, and institutional decision making. The results of the analysis illustrate that basing vulnerability on a sole factor may lead to insufficient understanding and, hence, inefficient management of the system. For example, ranking of different water sources on the basis of the traditional vulnerability index (i.e., severity) in SLC is not consistent with the ranking on the basis of the proposed integrated vulnerability index. Therefore, during a failure event in the system, such as a water shortage, incomplete understanding of the system's performance may lead to incorrect decisions by managers. The new vulnerability index and assessment approach was able to identify the most vulnerable water sources in the SLC integrated water supply system. In conclusion, use of a more comprehensive approach to simulate the system behavior and estimate vulnerability provides more guidance for decision makers to detect vulnerable components of the system and ameliorate decision making.

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Combined Impact of Inland and Coastal Floods: Mapping Knowledge Base for Development of Planning Strategies

Cited by 36 publications

References 59 publications

An Overview of Flood Risk Analysis Methods

An Overview of Flood Risk Analysis Methods

Compound Inundation Impacts of Coastal Climate Change: Sea-Level Rise, Groundwater Rise, and Coastal Precipitation

Vulnerability Assessment to Support Integrated Water Resources Management of Metropolitan Water Supply Systems

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