Flood Models: An Exploratory Analysis and Research Trends

Morante-Carballo, Fernando; Montalván-Burbano, Néstor; Arias-Hidalgo, Mijaíl; Domínguez-Granda, Luis; Apolo-Masache, Boris; Carrión-Mero, Paúl

doi:10.3390/w14162488

Cited by 10 publications

(3 citation statements)

References 182 publications

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“…The process of study selection is described using a PRISMA flow diagram in Figure 1. The bibliometric analysis and visualizations were performed by using Visualization of Similarities viewer (VOSviewer) software (VanEck andWaltman, Center for Science and Technology Studies of Leiden University [4,5]), a tool that has been used in studies in various areas of research [6][7][8][9][10][11][12][13][14][15][16][17]. Bibliographic techniques, such as citation and co-citation analysis, bibliographic coupling and co-occurrence analysis, were used to create collaboration networks and text mining.…”

Section: Methodsmentioning

confidence: 99%

SARS-CoV-2 Antibody Responses in Pediatric Patients: A Bibliometric Analysis

Maniu

Antonescu

et al. 2023

Biomedicines

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The characteristics, dynamics and mechanisms/determinants of the immune response to SARS-CoV-2 infection are not fully understood. We performed a bibliometric review of studies that have assessed SARS-CoV-2 antibody responses in the pediatric population using Web of Science online databases, VOSviewer and Bibliometrix tools. The analysis was conducted on 84 publications, from 310 institutions located in 29 countries and published in 57 journals. The results showed the collaboration of scientists and organizations, international research interactions and summarized the findings on (i) the measured titers of antibodies (total antibody and/or individual antibody classes IgG, IgM, IgA) against different antigens (C-terminal region of N (N CT), full-length N protein (N FL), RBD, RBD Alpha, RBD Beta, RBD Gamma, RBD Delta, spike (S), S1, S2) in the case of different clinical forms of the disease; and (ii) the correlations between SARS-CoV-2 antibodies and cytokines, chemokines, neutrophils, C-reactive protein, ferritin, and the erythrocyte sedimentation rate. The presented study offers insights regarding research directions to be explored in the studied field and may provide a starting point for future research.

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Section: Methodsmentioning

confidence: 99%

SARS-CoV-2 Antibody Responses in Pediatric Patients: A Bibliometric Analysis

Maniu

Antonescu

et al. 2023

Biomedicines

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“…Due to their reliability and quality, the Web of Science (WoS, launched by Clarivate Analytics, London, UK) and Scopus databases are the most widely used in bibliometric studies [47,48]. In this study, these two databases were chosen because of i) coverage in academic disciplines, ii) accessibility and ease of data download, iii) existence of bibliometric studies with these databases, and iv) institutional access.…”

Section: Criteria For Database Selectionmentioning

confidence: 99%

Bibliometric Analysis of Earthquake Research in America: A Comparative Study Using Web of Science and Scopus Databases

Morante-Carballo,

Bravo-Montero,

Montalván-Burbano

et al. 2023

IJSSE

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In the American continent, the movement of tectonic plates causes seismic activity that generates earthquakes. Some countries of America are located on the western fringe of the Pacific Ring of Fire, which involves several tectonic plates, such as Nazca, Cocos, and North American, among others. This study aims to analyse the scientific production of Earthquakes in America (EiA) using Web of Science and Scopus databases, to understand the origin (first publications in the area), intellectual structure (bibliometric maps), and research trends (topics for future works). The methodology was based on: (i) criteria for database selection (reasons for selecting Scopus and Web of Science), (ii) data processing (merging databases, deleting duplicates or erroneous documents, and the selection of bibliometric software), and (iii) analysis of intellectual structure (performance of scientific publications using bibliometric maps). The EiA has greatly impacted academia since its first publication in 1861, analysing 6553 scientific publications from the western part of the Pacific Ring of Fire. It includes the most representative subduction zones in the world, with major records in the last nine years, having contributions mainly from Mexico, France, Guatemala, and Chile. Finally, the trend topics aligned to EiA are ground motion models, seismic hazards, and induced seismicity.

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“…Although machine learning (ML) methods can be applied for flood susceptibility analysis using techniques such as random forest, artificial neural networks, maximum entropy or support vector machines [20,21], some challenges exist. While ML may benefit and increase the knowledge of flood simulations in a more automated way, that allows for greater profitability and efficiency in flood forecasting [22], the major issue with utilizing ML is the lack of data. ML algorithms require data to learn and predict events, due to the lack of data and expansive amounts required to increase the reliability of the process, challenges arise when utilizing these methods in developing countries that have data scarcity.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of Weighting Methods in Geospatial Flood Risk Assessment: A Trinidad Case Study

Roopnarine

Ramlal

Roopnarine

2022

Land

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The Republic of Trinidad and Tobago is an archipelagic Small Island Developing State (SIDS), situated on the southern end of the chain of Caribbean islands. Several factors such as climate, topography, and hydrological characteristics increase its susceptibility and vulnerability to flooding which results in adverse socio-economic impacts. Many Caribbean islands, including Trinidad and Tobago lack a flood risk assessment tool which is essential for a proactive mitigation approach to floods, specifically in the Caribbean due to the incommensurate flooding events that occur because of the inherent characteristics of SIDS. This research focuses on the problem of flooding using susceptibility analysis, vulnerability analysis and risk assessment for the island of Trinidad, whilst also presenting a repeatable and appropriate methodology to assess these risks in regions that have similar characteristics to Trinidad. This is especially useful in Caribbean countries because of a lack of internal human capacity to support such efforts. Flood hazard indexes (FHI) and vulnerability indexes (VI) were generated for this study using subjective and objective weighting technique models to identify regions that are affected by flooding. These models were Analytical Hierarchy Process (AHP), Frequency Ratio (FR) and Shannon’s Entropy (SE). Comparative analyses of the three models were conducted to assess the efficacy and accuracy of each to determine which is most suitable. These were used to conduct a risk assessment to identify risks associated with each Regional Corporation of Trinidad. Results indicate that FR is the most accurate weighting technique model to assess flood susceptibility and risk assessment in Trinidad, with an Area Under the Curve (AUC) of 0.76 and 0.64 respectively. This study provides an understanding of the most appropriate weighting techniques that can be used in regions where there are challenges in accessing comprehensive data sets and limitations as it relates to access to advanced technology and technical expertise. The results also provide reasonably accurate outcomes that can assist in identifying priority areas where further quantitative assessments may be required and where mitigation and management efforts should be focused. This is critical for SIDS where vulnerability to flooding is high while access to financial and human resources is limited.

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Flood Models: An Exploratory Analysis and Research Trends

Cited by 10 publications

References 182 publications

SARS-CoV-2 Antibody Responses in Pediatric Patients: A Bibliometric Analysis

SARS-CoV-2 Antibody Responses in Pediatric Patients: A Bibliometric Analysis

Bibliometric Analysis of Earthquake Research in America: A Comparative Study Using Web of Science and Scopus Databases

A Comparative Analysis of Weighting Methods in Geospatial Flood Risk Assessment: A Trinidad Case Study

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