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Sustainability
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Innovations in Flood Risk Mitigation
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Innovations in Flood Risk Mitigation

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 8087

Special Issue Editors

Dr. Giuseppe Barbaro

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Guest Editor
DICEAM Department, Mediterranea University of Reggio Calabria, Via Graziella loc. Feo di Vito, 89122 Reggio Calabria, Italy
Interests: coastal and river dynamics; coastal and river structures; hydraulics; hydrology
Special Issues, Collections and Topics in MDPI journals
Dr. Giandomenico Foti

E-Mail Website
Guest Editor
DICEAM Department, Mediterranea University of Reggio Calabria, Via Graziella loc. Feo di Vito, 89122 Reggio Calabria, Italy
Interests: flash floods in urban areas; river and coastal dynamics; shoreline changes
Special Issues, Collections and Topics in MDPI journals
Dr. Pierfabrizio Puntorieri

E-Mail Website
Guest Editor
Mediterranea University of Reggio Calabria, DICEAM Department, Via Graziella loc. Feo di Vito, 89122 Reggio Calabria, Italy
Interests: river engineering; hydraulic; modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Coastal, river, and urban flood risk is a current issue due to climate change and anthropization processes that have affected many countries. On the one hand, climate change has increased the frequency and intensity of atmospheric disturbance. On the other hand, anthropogenic pressure has increased impermeable surfaces, thus reducing hydrological losses and increasing flow rates. Therefore, the understanding of the phenomena that generate floods, and their modeling, are key factors in the choice and design phases of adequate mitigation measures. To limit the environmental impacts of these measures, it would be appropriate to give preference to best management practices (BMP) and low impact development (LID).

This Special Issue aims to analyze all the main aspects concerning floods through research papers and case studies on the following topics:

  • Coastal, river, and urban flood risk;
  • Innovations on flood risk assessment;
  • Innovations on flood risk modeling;
  • Innovations on urban drainage systems;
  • Impact of climate change;
  • Impact of anthropogenic pressure;
  • Calibration and validation strategies;
  • Uncertainty quantification;
  • Integration of remote sensing;
  • Flood risk mapping;
  • Flood mitigation measures;
  • Best management practices (BMP);
  • Low impact development (LID);
  • Application of flood modeling to support decision making.

Prof. Giuseppe Barbaro
Dr. Giandomenico Foti
Dr. Pierfabrizio Puntorieri
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Flood risk
  • Assessment
  • Modeling
  • Climate change
  • Mitigation measures
  • BMP
  • LID
  • Decision making

Published Papers (3 papers)

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Research

20 pages, 5822 KiB  
Article
Optimal Selection of Short- and Long-Term Mitigation Strategies for Buildings within Communities under Flooding Hazard
by Himadri Sen Gupta, Omar M. Nofal, Andrés D. González, Charles D. Nicholson and John W. van de Lindt
Sustainability 2022, 14(16), 9812; https://0-doi-org.brum.beds.ac.uk/10.3390/su14169812 - 09 Aug 2022
Cited by 1 | Viewed by 2469
Abstract
Every year, floods cause substantial economic losses worldwide with devastating impacts on buildings and physical infrastructures throughout communities. Techniques are available to mitigate flood damage and subsequent losses, but the ability to weigh such strategies with respect to their benefits from a community [...] Read more.
Every year, floods cause substantial economic losses worldwide with devastating impacts on buildings and physical infrastructures throughout communities. Techniques are available to mitigate flood damage and subsequent losses, but the ability to weigh such strategies with respect to their benefits from a community resilience perspective is limited in the literature. Investing in flood mitigation is critical for communities to protect the physical and socioeconomic systems that depend on them. While there are multiple mitigation options to implement at the building level, this paper focuses on determining the optimal flood mitigation strategy for buildings to minimize flood losses within a community. In this research, a mixed integer linear programming model is proposed for studying the effects and trade-offs associated with pre-event short-term and long-term mitigation strategies to minimize the expected economic losses associated with floods. The capabilities of the proposed model are illustrated for Lumberton, North Carolina (NC), a small, socially diverse inland community on the Lumber River. The mathematically optimal building-level flood mitigation plan is provided based on the available budget, which can significantly minimize the total expected direct economic loss of the community. The results reveal important correlations among investment quantity, building-level short- and long-term mitigation measures, flood depths of various locations, and buildings’ structure. Additionally, this study shows the trade-offs between short- and long-term mitigation measures based on available budget by providing decision support to building owners regarding mitigation measures for their buildings. Full article
(This article belongs to the Special Issue Innovations in Flood Risk Mitigation)
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17 pages, 2108 KiB  
Article
The Web-GIS TRIG Eau Platform to Assess Urban Flood Mitigation by Domestic Rainwater Harvesting Systems in Two Residential Settlements in Italy
by Anna Palla and Ilaria Gnecco
Sustainability 2021, 13(13), 7241; https://0-doi-org.brum.beds.ac.uk/10.3390/su13137241 - 28 Jun 2021
Cited by 9 | Viewed by 2000
Abstract
Urban flooding has become one of the most frequent natural disasters in recent years, and the low-impact development (LID) approach is currently recognised as an alternative to traditional grey infrastructure to mitigate the negative impact of urbanisation on hydrological processes. The main objective [...] Read more.
Urban flooding has become one of the most frequent natural disasters in recent years, and the low-impact development (LID) approach is currently recognised as an alternative to traditional grey infrastructure to mitigate the negative impact of urbanisation on hydrological processes. The main objective of the present research was to develop a web-GIS platform in order to assess the impact of LID systems on mitigating urban flooding and to support their implementation at the urban catchment scale. The TRIG Eau platform, developed in the framework of the homonymous INTERREG MARITTIMO IT-FR project, is configured as a web-GIS application of the stormwater management model (SWMM). Urban flood conditions were examined for two case studies in Liguria and Tuscany (IT), where DRWH systems are proposed as a mitigation strategy. The presented results and their visualisation showcase the potential of the TRIG Eau platform to better support the implementation of LIDs. Findings from the flood analysis confirm that even for the 10-year return period event, DRWHs are effective in reducing network stress by more than 70% in cases of empty tanks, thus underlining the need for RTC technology to pre-empty the system. Full article
(This article belongs to the Special Issue Innovations in Flood Risk Mitigation)
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25 pages, 5032 KiB  
Article
The Level of Public Acceptance to the Development of a Coastal Flooding Early Warning System in Jakarta
by Nelly Florida Riama, Riri Fitri Sari, Henita Rahmayanti, Widada Sulistya and Mohamad Husein Nurrahmat
Sustainability 2021, 13(2), 566; https://0-doi-org.brum.beds.ac.uk/10.3390/su13020566 - 08 Jan 2021
Cited by 1 | Viewed by 2685
Abstract
Coastal flooding is a natural disaster that often occurs in coastal areas. Jakarta is an example of a location that is highly vulnerable to coastal flooding. Coastal flooding can result in economic and human life losses. Thus, there is a need for a [...] Read more.
Coastal flooding is a natural disaster that often occurs in coastal areas. Jakarta is an example of a location that is highly vulnerable to coastal flooding. Coastal flooding can result in economic and human life losses. Thus, there is a need for a coastal flooding early warning system in vulnerable locations to reduce the threat to the community and strengthen its resilience to coastal flooding disasters. This study aimed to measure the level of public acceptance toward the development of a coastal flooding early warning system of people who live in a coastal region in Jakarta. This knowledge is essential to ensure that the early warning system can be implemented successfully. A survey was conducted by distributing questionnaires to people in the coastal areas of Jakarta. The questionnaire results were analyzed using cross-tabulation and path analysis based on the variables of knowledge, perceptions, and community attitudes towards the development of a coastal flooding early warning system. The survey result shows that the level of public acceptance is excellent, as proven by the average score of the respondents’ attitude by 4.15 in agreeing with the establishment of an early warning system to manage coastal flooding. Thus, path analysis shows that knowledge and perception have a weak relationship with community attitudes when responding to the coastal flooding early warning model. The results show that only 23% of the community’s responses toward the coastal flooding early warning model can be explained by the community’s knowledge and perceptions. This research is expected to be useful in implementing a coastal flooding early warning system by considering the level of public acceptance. Full article
(This article belongs to the Special Issue Innovations in Flood Risk Mitigation)
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