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Global Flood Hazard: Applications in Flood Modelling and Mapping
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Global Flood Hazard: Applications in Flood Modelling and Mapping

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

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 8782

Special Issue Editors

Prof. Dr. Roger A Falconer

E-Mail Website
Guest Editor
Emeritus Professor, School of Engineering, Cardiff University, Cardiff, UK
Interests: flooding; water management; water security; tidal energy; hydropower; computational modelling; hydro-environmental processes
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Junqiang Xia

E-Mail Website
Guest Editor
School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, China
Interests: urban flood modelling and risk assessment; sediment transport; fluvial processes and numerical modelling
Prof. Dr. Reza Ahmadian

E-Mail Website
Guest Editor
School of Engineering, Cardiff University, The Parade, Cardiff CF24 3AA, UK
Interests: hydro-environmental modelling; flood risk management; extreme flood modeling; evacuation planning; nature-based solutions; digital twins; pollution modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Floods are among the most frequent and devastating types of natural hazards which can cause great losses on a global scale, damage the economy and infrastructures, cause damage to various human activities, injuries, loss of human lives, and disruption of transportation systems.

Due to climate change, flood events becoming more frequent and unpredictable in recent years.

Flood modelling provides the possibility of informing about the many aspects of flood management. With recent progress in computer-based numerical modelling tools, one-dimensional (1D) and two-dimensional (2D) hydrodynamic models have been used for simulating flood events. Coupled 1D-2D model, which maintain high accuracy and superior computational efficiency, has been developed in recent years and it is of particular importance for many flood-modelling projects.

Flood mapping has made significant progress and it serves as an important tool for flood prediction, control, and mitigation.

For this Special Issue, we welcome research articles and reviews addressing the causes, effects, and consequences of flooding, as well as models that can indicate its simulation.

Prof. Dr. Roger A Falconer
Prof. Dr. Junqiang Xia
Prof. Dr. Reza Ahmadian
Guest Editors

Manuscript Submission Information

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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

  • flooding
  • flood modelling
  • 1D model
  • 2D model
  • coupled 1D–2D model
  • flood risk mapping
  • natural hazard

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Published Papers (3 papers)

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Research

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16 pages, 3834 KiB  
Article
Determination of Flash Flood Hazard Areas in the Likodra Watershed
by Katarina Lazarević, Mirjana Todosijević, Tijana Vulević, Siniša Polovina, Natalija Momirović and Milica Caković
Water 2023, 15(15), 2698; https://doi.org/10.3390/w15152698 - 26 Jul 2023
Cited by 4 | Viewed by 2205
Abstract
Climate change has a direct impact on flash floods, and indirectly on the environment, society, and economy, due to the rapid development and difficulty of predicting this hydrological phenomenon. The main objective of this study is to assess the potential flash flood hazard [...] Read more.
Climate change has a direct impact on flash floods, and indirectly on the environment, society, and economy, due to the rapid development and difficulty of predicting this hydrological phenomenon. The main objective of this study is to assess the potential flash flood hazard areas in the Likodra watershed (218.62 km2), one of the most vulnerable parts to flash floods in Serbia, using the flash flood potential index (FFPI) and analytic hierarchy process (AHP) method. Recurring events from 1995 to this day and the devastating impact on settlements of the analyzed area show that this territory is extremely vulnerable. The data used include hydrological statistics (maximum daily rainfall) and spatial data on watershed geographical characteristics (slope, soils, land use, vegetation, drainage density) obtained or derived from various sources (maps, satellite images, digital databases) which were integrated into the GIS environment. The results indicate a severe flash flood hazard level, with high flash flood susceptibility classes occupying 76.20%, 87.78%, and 91.73% of the area, depending on the considered criteria and weights assigned to them. Full article
(This article belongs to the Special Issue Global Flood Hazard: Applications in Flood Modelling and Mapping)
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22 pages, 11356 KiB  
Article
Quantitative Flood Risk Assessment in Drammenselva River, Norway
by Seble Fissha Hailemariam and Knut Alfredsen
Water 2023, 15(5), 920; https://doi.org/10.3390/w15050920 - 27 Feb 2023
Cited by 4 | Viewed by 3379
Abstract
Floods are frequent natural hazards, triggering significant negative consequences for the economy every year. Their impact is expected to increase in the near future due to socio-economic development and climate change. In order to minimize the probability and magnitude of expected economic losses [...] Read more.
Floods are frequent natural hazards, triggering significant negative consequences for the economy every year. Their impact is expected to increase in the near future due to socio-economic development and climate change. In order to minimize the probability and magnitude of expected economic losses and compensation costs, it is essential that flood risk managers are properly informed about potential damage related to hazard features and exposure. In this paper, a flood damage estimation method was proposed for the assessment of flood risk in the Drammen River basin by using a hydraulic model, GIS, and a flood loss estimation model. Hazard variables such as flood depth, flood extent, and flood velocity were computed for the current and future climatic scenarios using the hydraulic model for flood damage assessment. To visualize the flood extent, velocity, depth, and their impact, the results of modelling are illustrated in the form of flood inundation maps produced in GIS. A flood loss estimate included buildings and other infrastructure that are major exposures in flood-prone areas. The flood damage model is formulated based on stage–damage relationships between different flood depths and land-use categories. It calculates the economic loss related to different land-use features based on the simulated flood parameter obtained from the hydraulic model from 100- to 1000-year return periods. For the case study, the results show that the highest proportion of the total damage in each repetition interval (approximately 90–92%) is expected to occur in buildings. In addition, results showed that the effects of climate change will raise the total damage from floods by 20.26%. Full article
(This article belongs to the Special Issue Global Flood Hazard: Applications in Flood Modelling and Mapping)
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Other

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12 pages, 1344 KiB  
Brief Report
Remote Sensing with UAVs for Flood Modeling: A Validation with Actual Flood Records
by Robert Clasing, Enrique Muñoz, José Luis Arumí and Víctor Parra
Water 2023, 15(21), 3813; https://doi.org/10.3390/w15213813 - 31 Oct 2023
Cited by 8 | Viewed by 2439
Abstract
The use of unmanned aerial vehicles (UAVs) is steadily increasing due to their capacity to capture terrain elevation data with remarkable precision and cost-effectiveness. Nonetheless, their application for estimating water surface elevations and submerged terrain, such as channel bathymetry, remains constrained. Consequently, the [...] Read more.
The use of unmanned aerial vehicles (UAVs) is steadily increasing due to their capacity to capture terrain elevation data with remarkable precision and cost-effectiveness. Nonetheless, their application for estimating water surface elevations and submerged terrain, such as channel bathymetry, remains constrained. Consequently, the development of a digital terrain model that relies on UAV data during low-water periods assumes a more extensive dry channel surface area, thus alleviating the information gap regarding submerged terrain. The objective of this brief report is to validate a hydraulic model for flood calculation. To this end, a 1D steady-state hydrological model of the Ñuble River based on a UAV survey in the low-water period of 2016 was constructed in HEC-RAS v.5.0.3 and compared to water surface elevation observations of the flood on 24 June 2023. The model tends to overestimate the flood, but the errors are considered tolerable for flood calculation (on average, a 10.6% depth error was obtained for a 30-year return period flood); therefore, the hydraulic model derived from remote sensing seems to be an effective alternative for the construction of hydraulic models for flood studies. Full article
(This article belongs to the Special Issue Global Flood Hazard: Applications in Flood Modelling and Mapping)
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