Article
Biodiversity Conservation
Iulia Ajtai, Horatiu Stefanie, Cristian Malos, Camelia Botezan, Andrei Radovici, Maria Bizau-Carstea, Calin Baciu
Summary: In recent years, the analysis of social vulnerability to floods has become an important part of flood risk management. However, existing studies often lack a standard procedure and face uncertainties related to indicator selection, inclusion of vulnerability dimensions, weighting methods, and data availability. This paper addresses these gaps by developing a comprehensive methodology that includes a large set of indicators, considers flood-related variables, and applies objective weighting methods. The use of statistical methods and GIS tools provides a better understanding of factors that increase social vulnerability and helps identify highly vulnerable areas for effective flood risk management.
ECOLOGICAL INDICATORS
(2023)
Article
Geosciences, Multidisciplinary
Mahmoud Mabrouk, Haoying Han
Summary: Given the vulnerability of cities to various climate threats, it is essential to address flood risk and operationalize cities efficiently. Our research developed a multicriteria paradigm using flood vulnerability and flood exposure indicators to identify flooding-exposed risky districts that should be prioritized for intervention. The methodology was tested in Alexandria, Egypt, and demonstrated the effectiveness of considering urban form as an indicator in flood reduction. The findings highlight the applicability of our approach for contingency planning and addressing data shortages in developing countries.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Environmental Sciences
Man Qi, Huabing Huang, Lin Liu, Xi Chen
Summary: With the rapid development of urbanization and global climate change, urban pluvial floods have become more frequent. However, there is still a lack of comprehensive understanding about the physical and social factors that influence this process. This paper proposes a novel approach to calculate the urban pluvial flooding risk index and investigates the impacts from different components at the catchment level.
Article
Environmental Sciences
Karim I. Abdrabo, Sameh A. Kantoush, Aly Esmaiel, Mohamed Saber, Tetsuya Sumi, Mahmood Almamari, Bahaa Elboshy, Safaa Ghoniem
Summary: Several cities are highly vulnerable to floods due to urbanization, population growth, and climate change. The development of an integrated flood vulnerability index (FVI) is important for identifying weaknesses, monitoring changes, and supporting targeted flood risk adaptation policies. This study focuses on developing an urban FVI for Alexandria, Egypt, using an indicator-based approach to assess exposure, susceptibility, and resilience to urban flooding at the neighborhood scale.
Article
Geosciences, Multidisciplinary
Tugkan Tanir, Selina J. Sumi, Andre de Souza de Lima, Gustavo de A. Coelho, Sukru Uzun, Felicio Cassalho, Celso M. Ferreira
Summary: The study evaluates urban socio-economic vulnerability in Washington, DC Metropolitan Region resulting from compound flooding at multiple scales. It found that the socio-economic damages were highest along the banks of the Potomac River in the compound flood scenario and that block-scale analysis is more sensitive to vulnerability and flood damages compared to coarser scales like group and tract. The distribution of the risk was significantly dependent on both the type of the compound flood event and the scale of the analysis.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Geosciences, Multidisciplinary
Susanta Mahato, Swades Pal, Swapan Talukdar, Tamal Kanti Saha, Parikshit Mandal
Summary: Flood hazard management is a major challenge in floodplain regions globally, with population growth and infrastructure development increasing the level of risk over time. Flood susceptibility modeling is common but challenging to validate rigorously, leading to the development and validation of ensemble flood susceptibility models using artificial neural networks and other machine learning methods in the Atreyee River Basin. Results show that a significant portion of the basin is under very high flood-susceptible zones, and ensemble models outperform standalone machine learning models in accuracy. Additionally, validation using flood vulnerability indexes alongside conventional methods is recommended for more accurate predictions.
GEOSCIENCE FRONTIERS
(2021)
Article
Engineering, Civil
Yihong Zhou, Zening Wu, Hongshi Xu, Huiliang Wang, Bingyan Ma, Hong Lv
Summary: Urban flooding is a serious problem due to global warming and rapid urbanization, and accurate forecasting is needed. However, current prediction methods struggle to provide accurate and stable predictions due to the randomness and uncertainty of rainfall and ponding processes. To address this, a time-varying Bayesian model averaging (TV-BMA) approach was proposed to develop an integrated model for predicting urban floods and providing early warning. The TV-BMA model showed significantly higher prediction accuracy and lower uncertainty compared to individual models and the traditional BMA approach, and it also demonstrated high accuracy in early warning results.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Augusto Getirana, Felipe Mandarino, Patricia Ney de Montezuma, Dalia Kirschbaum
Summary: As flood modeling spatial resolutions get finer, it becomes necessary to account for urban drainage. This study evaluates an urban drainage scheme for large-scale flood models, showing that representing a drainage network decreases urban flooding and lowers flood exposure risk. The simulations also reveal that racial minority and low-income populations are disproportionately affected by extreme floods in the city.
JOURNAL OF HYDROLOGY
(2023)
Article
Biodiversity Conservation
Abbas El-Zein, Tanvir Ahmed, Fahim Tonmoy
Summary: The article introduces a new flood vulnerability assessment method that combines hydrological-hydraulic modeling with socio-economic indicators at a finer spatial scale, allowing for refined simulations and predictions of climate impacts on vulnerability. Through a case study of a suburb in Sydney, significant variances in flood vulnerability within a single area were discovered, with the conclusion that flood duration may increase by over 100% under certain climate change scenarios due to reduced drainage caused by sea level rise.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Studies
Andre Borgato Morelli, Andre Luiz Cunha
Summary: This paper introduces a convenient metric for assessing the vulnerability of road networks in small to medium-sized cities, focusing on how obstructions from disasters can increase path lengths. A case study in Sa?o Carlos, Brazil, demonstrates that walking and cycling are more robust modes of transportation compared to motorized individual transport, highlighting the importance of compact city planning to make cities more resilient to floods.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Environmental Sciences
Robby Yussac Tallar, Golan Mauregar Geldoffer
Summary: This study utilizes a GIS-based model and Flood Potential Index (FPI) to conduct micro-scale flood risk assessment in urban fluvial areas of DKI Jakarta. The results show that there are 10 sub-districts with high potential, 219 sub-districts with medium potential, and 32 sub-districts with low potential.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
Marcel Motta, Miguel de Castro Neto, Pedro Sarmento
Summary: The project aimed to develop a flood prediction system using Machine Learning classifiers and GIS techniques. The Random Forest model was the most performant, and when combined with the Hot Spot analysis, created a flood risk index for urban management and resilience planning.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Engineering, Civil
Leyner Cardenas-Mercado, Jorge Escobar-Vargas, Jhonny I. Perez-Montiel, Andres Torres
Summary: This study proposes a method for optimizing the calibration process of flood models using socio-hydrological variables. By comparing the results with traditional methods, incorporating socio-hydrological variables can improve the accuracy of flood simulations.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Environmental
Kiyong Park, Hoo Oh, Jeong-hun Won
Summary: The study presents an approach to reducing urban flood damage by analyzing urban flooding vulnerability and disaster resilience of urban planning facilities to determine optimal facility placement.
ENVIRONMENTAL ENGINEERING RESEARCH
(2021)
Article
Engineering, Civil
Hamid Darabi, Ali Torabi Haghighi, Omid Rahmati, Abolfazl Jalali Shahrood, Sajad Rouzbeh, Biswajeet Pradhan, Dieu Tien Bui
Summary: A hybridized model combining neural network and swarm intelligence-grey wolf algorithm was developed to predict urban flood-inundation, and outperformed state-of-the-art benchmark models in accuracy. Distance from channel, distance from river, and depth to groundwater were identified as important variables for spatial prediction of urban flood inundation. The study can serve as a basis for future research in predicting flood susceptibility in urban areas using hybridized machine learning models.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Juan Alejandro Saiz-Rodriguez, Marcelo A. Lomeli Banda, Carlos Salazar-Briones, Jose Mizael Ruiz-Gibert, Alejandro Mungaray-Moctezuma
Article
Green & Sustainable Science & Technology
Marco Montoya-Alcaraz, Alejandro Mungaray-Moctezuma, Leonel Garcia
Article
Engineering, Civil
Luis Mario Rodriguez Valenzuela, Alejandro Mungaray Moctezuma, Mario Gonzalez-Duran, Ulises Mena Hernandez
Summary: A probabilistic risk assessment model is used to evaluate the seismic hazard in the northwest of Baja California, showing that earthquakes with magnitudes of Mw=6.4-7.2 and return periods of up to 100 years can affect an average of 2850 people with economic losses of US$144 million.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-MUNICIPAL ENGINEER
(2021)
Article
Green & Sustainable Science & Technology
Alejandro Sanchez-Atondo, Leonel Garcia, Julio Calderon-Ramirez, Jose Manuel Gutierrez-Moreno, Alejandro Mungaray-Moctezuma
Article
Water Resources
Marcelo A. Lomeli-Banda, Jorge Ramirez-Hernandez, Jesus Eliana Rodriguez-Burgueno, Carlos Salazar-Briones
Summary: This study aimed to identify and quantify the hydrological elements essential for the conservation of the Cienega de Santa Clara wetland. Results showed disconnections in the surface flow of water from the wetland to the adjacent Gulf of California, leading to reductions in wetland area and water storage. The hydrological functionality of the wetland depends on the continuous discharge from the Wellton-Mohawk canal during the summer months.
HYDROLOGICAL PROCESSES
(2021)
Article
Green & Sustainable Science & Technology
Jose Cota, Cynthia Martinez-Lazcano, Marco Montoya-Alcaraz, Leonel Garcia, Alejandro Mungaray-Moctezuma, Alejandro Sanchez-Atondo
Summary: The objective of this research is to develop a pavement design procedure that calibrates the design variables of asphalt pavements using regionalized conditions, aiming to obtain efficient pavement performance for developing countries with limited resources and data. The study focused on analyzing the roads in Baja California, Mexico, determining the type structures and regionalizing the performance grade of the binder based on weather conditions, altitude, traffic, and available materials. Additionally, the economic impact of pavements during its service life was analyzed, projecting the analysis with different pavement structures and damage coefficients.
Review
Urban Studies
Coral Zayreth Morando-Figueroa, Carlos Salazar-Briones, Jose Mizael Ruiz-Gibert, Marcelo Antonio Lomeli-Banda
Summary: Urban growth has negative impacts on ecosystem services, but their importance can be improved through policy and planning. This study reviewed 117 articles and identified methods for valuing ecosystem services as well as suggestions for implementing public policies.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-URBAN DESIGN AND PLANNING
(2023)
Article
Urban Studies
Juan Alejandro Saiz-Rodriguez, Carlos Salazar-Briones, Jose Mizael Ruiz-Gibert, Alejandro Mungaray Moctezuma, Marcelo A. Lomeli-Banda
Summary: This research utilized remote sensing and GIS to study the impact of heat islands and potential floods on urban environments. The results indicated the necessity of increasing green spaces in cities to reduce heat island effects, and a priority attention map for Mexicali was established as a planning tool.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-URBAN DESIGN AND PLANNING
(2021)
Article
Public, Environmental & Occupational Health
Marco Montoya-Alcaraz, Alejandro Mungaray-Moctezuma, Julio Calderon-Ramirez, Leonel Garcia, Cynthia Martinez-Lazcano
Article
Urban Studies
Leonel Garcia, Alejandro Mungaray-Moctezuma, Julio Calderon, Alejandro Sanchez-Atondo, Jose Gutierrez-Moreno
EURE-REVISTA LATINOAMERICANA DE ESTUDIOS URBANO REGIONALES
(2019)