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Water
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Advances and Challenges in Flood Map Development and Its Applications
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Advances and Challenges in Flood Map Development and Its Applications

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: closed (25 July 2023) | Viewed by 9545

Special Issue Editors

Dr. Jungho Kim

E-Mail Website
Guest Editor
First Street Foundation, Brooklyn, NY 11201, USA
Interests: hydrology; hydrometeorology; climate change; remote sensing; flood modeling
Special Issues, Collections and Topics in MDPI journals
Dr. Ed Kearns

E-Mail Website
Guest Editor
First Street Foundation, Brooklyn, NY 11201, USA
Interests: data science; big data management; physical oceanography
Dr. Jeremy Porter

E-Mail Website
Guest Editor
First Street Foundation, Brooklyn, NY 11201, USA
Interests: quantitative methods in the social sciences; mapping; statistics; geographic information systems
Dr. Kyra Bryant

E-Mail Website
Guest Editor
First Street Foundation, Brooklyn, NY 11201, USA
Interests: hurricane storm surge modeling; hurricane hazard communication; vulnerable coastal communities

Special Issue Information

Dear Colleagues,

Floods have become more common and more severe because of the acceleration in climate change. This situation drives increasing risks facing properties, communities, and businesses and requires development work to quantify flood risk in a large area. In general, a flood map is one of the most efficient ways to represent the risks to individuals to understand how pluvial, fluvial, and coastal flooding will impact them personally.

However, the development and use of effective flood risk maps are a challenge as it requires complex pre- and post-processes based on interdisciplinary research, including hydrology, hydraulics, hydrometeorology, and remote sensing. We would like to invite scientists and researchers involved in this flood risk topic to contribute to this Special Issue of Journal Water, which will be focused on ‘Advances and Challenges’ in (1) Flood map development for fluvial, pluvial, and coastal areas from scientific and technical perspectives and (2) Applications of such maps for various purposes such as loss and damage cost estimation and projection. Submission of studies that could address keywords (listed below) at various scales is strongly encouraged.

Dr. Jungho Kim
Dr. Ed Kearns
Dr. Jeremy Porter
Dr. Kyra Bryant
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. Water 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 2600 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

  • fluvial, pluvial, and coastal flood hazard layer development
  • 1D/2D flood modeling and inundation mapping
  • flood frequency analysis
  • intensity-duration-frequency curve development
  • infiltration modeling at a large-scale
  • flood modeling in regulated areas
  • flood modeling with climate change scenarios
  • flood index development
  • post-processing to develop flood hazard layer
  • applications of flood hazard layers
  • extreme flood event analysis
  • uncertainty analysis in flood hazard layer development
  • applications of remote sensing products to flood analysis and mapping
  • economic impact analysis from various perspectives
  • community flood risk assessments
  • damage and loss estimates

Published Papers (4 papers)

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Research

19 pages, 18566 KiB  
Article
A Probabilistic Approach for Off-Stream Reservoir Failure Flood Hazard Assessment
by Marcos Sanz-Ramos, Ernest Bladé, Nathalia Silva-Cancino, Fernando Salazar, David López-Gómez and Eduardo Martínez-Gomariz
Water 2023, 15(12), 2202; https://0-doi-org.brum.beds.ac.uk/10.3390/w15122202 - 12 Jun 2023
Cited by 4 | Viewed by 1650
Abstract
Off-stream reservoirs are hydraulic structures that might cause severe flood damages in case of failure or improper operation. Their safety regulations usually require hydraulic studies for flood hazard and inundation zone mapping. The selection of the break point is not trivial because the [...] Read more.
Off-stream reservoirs are hydraulic structures that might cause severe flood damages in case of failure or improper operation. Their safety regulations usually require hydraulic studies for flood hazard and inundation zone mapping. The selection of the break point is not trivial because the topography in its surroundings is commonly highly anthropic. A wrong selection would not provide the worst scenario in terms of maximum flood hazard extent. This work presents a probabilistic approach based on a stochastic definition of the break point along the dyke. A number of failure scenarios are generated automatically, corresponding to different breach formations. Then, an in-cascade calculation process simulates each scenario, providing a framework to carry out statistical analysis. The simulation of the breach formation and the flood wave propagation is performed through a GPU parallelised two-dimensional hydraulic numerical model, which provides a probabilistic inundation zone and flood hazard mapping of all scenarios simulated in a suitable timeframe. Full article
(This article belongs to the Special Issue Advances and Challenges in Flood Map Development and Its Applications)
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24 pages, 6346 KiB  
Article
Effects of Within-Storm Variability on Allochthonous Flash Flooding: A Synthetic Study
by Shahin Khosh Bin Ghomash, Daniel Bachmann, Daniel Caviedes-Voullième and Christoph Hinz
Water 2023, 15(4), 645; https://0-doi-org.brum.beds.ac.uk/10.3390/w15040645 - 07 Feb 2023
Viewed by 1242
Abstract
Rainfall is a spatiotemporally variated process and one of the key elements to accurately capture both catchment runoff response and floodplain extents. Flash floods are the result of intense rainfall, typically associated to highly variable rain in both space and time, such as [...] Read more.
Rainfall is a spatiotemporally variated process and one of the key elements to accurately capture both catchment runoff response and floodplain extents. Flash floods are the result of intense rainfall, typically associated to highly variable rain in both space and time, such as convective storms. In this work, the extent within-storm variability affects runoff and flooding is explored. The Kan catchment (Tehran, Iran) is used as base topography for the simulations. The allochthonous nature of floods in the catchment and how they interact with the effects of storm variability are further investigated. For this, 300 synthetic rainfall signals with different hyetograph variabilities are generated and imposed on a 1D/2D hydrodynamic model. Additionally, a set of simulations with different levels of spatial variability are performed. The results suggest that temporal and spatial variability affect the runoff response in different degrees. Peak discharge and hydrograph shapes, as well as flooded areas, are affected. The effect of storm temporal variability is shown to be significantly higher than storm spatial variability and storm properties such as return period, duration, and volume. Further on the influence of storm spatiotemporal variability on stream discharge and flood response is seen to be strongly dependent on the location within the drainage network at which it is assessed. Full article
(This article belongs to the Special Issue Advances and Challenges in Flood Map Development and Its Applications)
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16 pages, 994 KiB  
Article
Flood Damage on Dairy Farms: A What-If Analysis to Assess Economic Losses
by Anna Gaviglio, Maria Elena Marescotti, Eugenio Demartini and Annafrancesca Corradini
Water 2022, 14(24), 3984; https://0-doi-org.brum.beds.ac.uk/10.3390/w14243984 - 07 Dec 2022
Cited by 1 | Viewed by 1894
Abstract
Although the impact of floods on the agricultural sector is relevant, with potential consequences on food security, in the new EU Common Agricultural Policy (CAP) proposal, agricultural risk management tools have been reinforced and extended. As far as we know, guidelines for the [...] Read more.
Although the impact of floods on the agricultural sector is relevant, with potential consequences on food security, in the new EU Common Agricultural Policy (CAP) proposal, agricultural risk management tools have been reinforced and extended. As far as we know, guidelines for the estimation of insurance indemnities related to flooding damage in the European livestock sector have not been proposed yet, unlike what has occurred in extra-European contexts. The present research proposes a model to identify the components of flood damage on dairy farms aimed at categorizing the cost typologies related to flood events by implementing a what-if approach. Our results highlight that collecting data about the vulnerability of a farm is an essential condition to assess the severity of damage from an economic perspective. In fact, even if some of the variables considered cause large economic losses per se, others are mainly related to poor management of issues related to the health of the herd (i.e., mastitis, lameness, other diseases). Such issues can be exacerbated by floods. Herd management, which includes comprehensive data collection, is essential for the calculation of economic losses in a single farm case and is also indispensable for the calculation of indemnity for the recovery of farming activities. Full article
(This article belongs to the Special Issue Advances and Challenges in Flood Map Development and Its Applications)
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21 pages, 5346 KiB  
Article
Simplified Uncertainty Bounding: An Approach for Estimating Flood Hazard Uncertainty
by Tim Stephens and Brian Bledsoe
Water 2022, 14(10), 1618; https://0-doi-org.brum.beds.ac.uk/10.3390/w14101618 - 18 May 2022
Cited by 1 | Viewed by 3727
Abstract
Deterministic flood hazard estimates neglect the inherent uncertainty associated with model estimates and can substantially underestimate flood risk. Monte Carlo simulation (MCS) has been a valuable tool for conducting uncertainty analysis. However, its application has primarily been limited to a single research setting. [...] Read more.
Deterministic flood hazard estimates neglect the inherent uncertainty associated with model estimates and can substantially underestimate flood risk. Monte Carlo simulation (MCS) has been a valuable tool for conducting uncertainty analysis. However, its application has primarily been limited to a single research setting. Recent development of a point approximation method, simplified uncertainty bounding (SUB), simulated the uncertainty from MCS with high accuracy (e.g., a critical success index of 0.75). However, an evaluation of additional flood hazard metrics and hydro-climate settings that impact the distribution of uncertainty is required. We evaluated SUB at two contrasting study sites by comparing their results with MCS and identified scenarios where performance increased and decreased. The SUB method accurately matched aerial inundation metrics, but performance was reduced for relative errors in flood depth and top width. Hydraulic structures had a heterogeneous impact on accuracy, and the confinement ratio had a positive relationship with the top width error. While SUB generally performed well with relative errors of approximately ±10% for a 90% confidence interval, some outliers did exist. The acceptability of the approach will depend on the specific application. Though SUB overestimated uncertainty, it provides a conservative estimate and is a cost-effective alternative to MCS. Full article
(This article belongs to the Special Issue Advances and Challenges in Flood Map Development and Its Applications)
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