Special Issue "Geohazards: Risk Assessment, Mitigation and Prevention"
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences and Geography".
Deadline for manuscript submissions: 20 June 2023 | Viewed by 33724
Special Issue Editors
Interests: blast and impact engineering (structures and materials); numerical modelling; computational fluid dynamics
Special Issues, Collections and Topics in MDPI journals
Special Issue in Buildings: Blast Loading and Blast Effect on Building Structures
Interests: landslides, floods, tsunamis, rock mechanics, natural hazards modelling; natural risks modelling; disaster prevention; management and mitigation of natural hazards
Special Issues, Collections and Topics in MDPI journals
Interests: hydrological modeling; agricultural yield loss modeling, damage modeling, climate modeling; flood modelling; prevention; risk management and insurance
Special Issue Information
This special issue aims to provide a common forum to share knowledge about the growing threat of Geohazards such as landslides and rock slides, earthquakes, floods, tsunamis, coastal erosion, drought among many others, due to the expanding size the cities and urban areas, critical use of agricultural lands, the increased use of infrastructure, and the effect of climate changes.
Original work related to the topic is welcomed, along with side topics if demonstrated to have a direct application into the theme, such as field surveys, numerical modelling, statistical analysis, monitoring, vulnerability and risk assessment, mitigation and adaptation strategies.
Dr. Ricardo Castedo
Dr. Miguel Llorente Isidro
Dr. David Moncoulon
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.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 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.
- landslides and rock slides
- coastal erosion
- numerical modelling
- risk assessment
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
The manning’s roughness coefficient calibration method to improve flood hazard analysis in absence of river bathymetric data. Application to the urban historical centre of Zamora city in Spain.
Julio Garrote1*; Miguel González2; Carolina Guardiola-Albert2; Andrés Díez-Herrero2
1 Department of Geodynamics, Stratigraphy and Paleontology, Complutense University of Madrid, Jose Antonio Novais 12, Spain
2 Geological Survey of Spain (IGME), Ríos Rosas 23 & Alenza, 1, E-28003 Madrid, Spain
The accurate estimation of flood risk depends, among other factors, on a correct estimate of the floodable area and its associated hydrodynamic parameters. This characterisation becomes fundamental in the flood hazard analyses carried out in urban areas, especially when we are faced with the presence of cultural heritage sites. To achieve this objective, it is necessary to have a correct characterisation of the topography. Outside the riverbed, the LiDAR data have meant an important improvement, but not so inside the riverbed, due to the general inability to penetrate the water bodies. To overcome these deficiencies, different approach have been developed to simulate this bathymetry using simplified models. Here, we present a model based upon the calibration of the Manning´s n value inside the riverbed. The use of these abnormally low Manning´s n values has made it possible to reproduce both the extent of the flooded area and the flow depth value within it in an acceptable manner: the reduction of the flow depth average error from 50-75 cm to only about 10 cm, and a direct flood damage differences from 25-30% to values of about 5%. More robust geostatistical analysis of hydrodynamic modelling outputs, use of spatially distributed non-uniform Manning´s n values, and other improvements will enable more robust and reliable results to be obtained. But, even without an associated calibration process, the use of lower n values can halve errors in the estimation of flow depth, improving flood hazard analysis especially in those areas that are socio-economically weaker.