A review of structural approach to flood management in coastal megacities of developing nations: current research and future directions

Ogie, Robert Ighodaro; Adam, Carole; Perez, Pascal

doi:10.1080/09640568.2018.1547693

Cited by 35 publications

(23 citation statements)

References 75 publications

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“…Deaths and economic damage, destruction of agricultural crops, damage to environmental ecosystems, and the spread of contagious diseases along the water route are direct effects of the floods, which can cause irreparable damage [5][6][7][8]. Considering the historical events of the floods in the period 1998-2018, about 3136 flood catastrophes worldwide have occurred, and their consequences have affected more than approximately two billion people and caused about 556 billion US$ in economic losses [9]. Indeed, the devastating consequences of flash floods on human lives have been spotted around the world [10,11].…”

Section: Introductionmentioning

confidence: 99%

A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data

et al. 2020

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Flash floods induced by torrential rainfalls are considered one of the most dangerous natural hazards, due to their sudden occurrence and high magnitudes, which may cause huge damage to people and properties. This study proposed a novel modeling approach for spatial prediction of flash floods based on the tree intelligence-based CHAID (Chi-square Automatic Interaction Detector)random subspace, optimized by biogeography-based optimization (the CHAID-RS-BBO model), using remote sensing and geospatial data. In this proposed approach, a forest of tree intelligence was constructed through the random subspace ensemble, and, then, the swarm intelligence was employed to train and optimize the model. The Luc Yen district, located in the northwest mountainous area of Vietnam, was selected as a case study. For this circumstance, a flood inventory map with 1866 polygons for the district was prepared based on Sentinel-1 synthetic aperture radar (SAR) imagery and field surveys with handheld GPS. Then, a geospatial database with ten influencing variables (land use/land cover, soil type, lithology, river density, rainfall, topographic wetness index, elevation, slope, curvature, and aspect) was prepared. Using the inventory map and the ten explanatory variables, the CHAID-RS-BBO model was trained and verified. Various statistical metrics were used to assess the prediction capability of the proposed model. The results show that the proposed CHAID-RS-BBO model yielded the highest predictive performance, with an overall accuracy of 90% in predicting flash floods, and outperformed benchmarks (i.e., the CHAID, the J48-DT, the logistic regression, and the multilayer perception neural network (MLP-NN) models). We conclude that the proposed method can accurately estimate the spatial prediction of flash floods in tropical storm areas.

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Section: Introductionmentioning

confidence: 99%

A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data

et al. 2020

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“…Expansion of coastal cities undermine natural protection (Sherbinin et al, 2007), hence an increase in natural disasters and city's vulnerability (Chang and Huang, 2015). While research has been performed in developed countries, developing ones are the most vulnerable in terms of natural disasters in coastal zones, such as flooding events (Ogie et al, 2020) or in specific areas under risk of tsunamis (Villagra et al, 2016). This same tendency is repeated in relation to studies which address mitigation strategies, with projections to make cities more resilient to natural disasters (Serre et al, 2010;Watson and Adams, 2010;Aerts et al, 2014;Sutton-Grier et al, 2015;Morris et al, 2020) and even ecoengineered shoreline strategies as nature-based alternative design (Bergen et al, 2001;Mitsch, 2012;Morris et al, 2019;O'Shaughnessy et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

A Review on Coastal Urban Ecology: Research Gaps, Challenges, and Needs

et al. 2021

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Coastal urban areas have dramatically increased during the last decades, however, coastal research integrating the impacts and challenges facing urban areas is still scarce. To examine research advances and critical gaps, a review of the literature on coastal urban ecology was performed. Articles were selected following a structured decision tree and data were classified into study disciplines, approaches, type of analysis, main research objectives, and Pickett's paradigms in-, of-, and for- the city, among other categories. From a total of 237 publications, results show that most of the research comes from the USA, China, and Australia, and has been carried out mostly in large cities with populations between 1 and 5 million people. Focus has been placed on ecological studies, spatial and quantitative analysis and pollution in coastal urban areas. Most of the studies on urban ecology in coastal zones were developed at nearshore terrestrial environments and only 22.36% included the marine ecosystem. Urban ecological studies in coastal areas have mainly been carried out under the paradigm in the city with a focus on the disciplines of biology and ecology. Results suggest a series of disciplinary, geographical, and approach biases which can present a number of risks. Foremost among these is a lack of knowledge on social dimensions which can impact on sustainability. A key risk relates to the fact that lessons and recommendations of research are mainly from developed countries and large cities which might have different institutional, planning and cultural settings compared to developing and mid-income countries. Scientific research on coastal urban areas needs to diversify toward an ecology of and for the cities, in order to support coastal development in a diversity of countries and settings.

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“…Furthermore, agent-based simulations (ABS) emerged as a powerful support tool, helping decision-makers to cope with complex and changing environments. Examples of successful ABS applications include the development of rural areas [21], the modeling population of displacement and its consequences [22], and crisis and disaster management [23,24].…”

Section: Agent-based Simulation For Decision Supportmentioning

confidence: 99%

Simulating, Off-Chain and On-Chain: Agent-Based Simulations in Cross-Organizational Business Processes

Kampik

Najjar

2020

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Information systems execute increasingly complex business processes, often across organizations. Blockchain technology has emerged as a potential facilitator of (semi)-autonomous cross-organizational business process execution; in particular, so-called consortium blockchains can be considered as promising enablers in this context, as they do not require the use of cryptocurrency-based blockchain technology, as long as the trusted (authenticated) members of the network are willing to provide computing resources for consensus-finding. However, increased autonomy in the execution of business processes also requires the delegation of business decisions to machines. To support complex decision-making processes by assessing potential future outcomes, agent-based simulations can be considered a useful tool for the autonomous enterprise. In this paper, we explore the intersection of multi-agent simulations and consortium blockchain technology in the context of enterprise applications by devising architectures and technology stacks for both off-chain and on-chain agent-based simulation in the context of blockchain-based business process execution.

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A review of structural approach to flood management in coastal megacities of developing nations: current research and future directions

Cited by 35 publications

References 75 publications

A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data

A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data

A Review on Coastal Urban Ecology: Research Gaps, Challenges, and Needs

Simulating, Off-Chain and On-Chain: Agent-Based Simulations in Cross-Organizational Business Processes

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