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Environmental and Safety Issues to Protect People's Health

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Health".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 7415

Special Issue Editors


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Guest Editor
Civil Engineering Department, University of Alicante, 03690 Alicante, Spain
Interests: security; safety construction; height fall; sustainable materials; recycled materials; corrosion; finite element analysis; digital technologies; building information modelling; buckling; low-cost

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Guest Editor
Materials Sciences and Engineering Department-IAAB, University Carlos III of Madrid, Avda. Universidad 30, Leganés, 28911 Madrid, Spain
Interests: sustainable materials; recycled materials; corrosion; wear; steel

E-Mail Website
Guest Editor
Materials Sciences and Engineering Department-IAAB, University Carlos III of Madrid, Avda. Universidad 30, Leganés, 28911 Madrid, Spain
Interests: sustainable materials; recycled materials; corrosion; durability; electrochemistry

Special Issue Information

Dear Colleagues,

Engineering has always been at the service of humanity to improve the quality of life and safety. Nevertheless, recent building collapses have caused traumatic personal and family experiences, high medical costs and hard compensation claim settlements. Moreover, engineering has allowed geographic areas with low technological and economic resources to build constructions in a safe and functional way.

Nevertheless, the increase in the quality of life must go hand in hand with environmental sustainability. Over the last century, the temperature of the Earth's surface has increased by around 1 °C, sea levels have risen by about 19 cm on average globally and the concentration of CO2 in the atmosphere is now the highest it has been in the last 800,000 years. One of the most polluting industries is the concrete industry.

Therefore, papers addressing topics regarding the industry's issues and/or historical evolution and materials solutions for low-income countries and strategies to minimize its carbon footprint (replacement of Portland cement, use of recycled aggregates, etc.) are invited to contribute to this Special Issue, especially those combining a high academic standard with a practical focus on providing optimal environmental and safety solutions in order to avoid accidents, and for the benefit of people's health.

Dr. Juan Carlos Pomares
Prof. Dr. Francisco Velasco
Prof. Dr. Asunción Bautista
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.

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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 2500 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

  • low-cost
  • low resources
  • sustainable materials
  • recycled materials
  • health

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Published Papers (2 papers)

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Research

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23 pages, 6476 KiB  
Article
Landslide Displacement Prediction Based on Time Series Analysis and Double-BiLSTM Model
by Zian Lin, Xiyan Sun and Yuanfa Ji
Int. J. Environ. Res. Public Health 2022, 19(4), 2077; https://doi.org/10.3390/ijerph19042077 - 12 Feb 2022
Cited by 24 | Viewed by 3394
Abstract
In recent years, machine learning models facilitated notable performance improvement in landslide displacement prediction. However, most existing prediction models which ignore landslide data at each time can provide a different value and meaning. To analyze and predict landslide displacement better, we propose a [...] Read more.
In recent years, machine learning models facilitated notable performance improvement in landslide displacement prediction. However, most existing prediction models which ignore landslide data at each time can provide a different value and meaning. To analyze and predict landslide displacement better, we propose a dynamic landslide displacement prediction model based on time series analysis and a double-bidirectional long short term memory (Double-BiLSTM) model. First, the cumulative landslide displacement is decomposed into trend and periodic displacement components according to time series analysis via the exponentially weighted moving average (EWMA) method. We consider that trend displacement is mainly influenced by landslide factors, and we apply a BiLSTM model to predict landslide trend displacement. This paper analyzes the internal relationship between rainfall, reservoir level and landslide periodic displacement. We adopt the maximum information coefficient (MIC) method to calculate the correlation between influencing factors and periodic displacement. We employ the BiLSTM model for periodic displacement prediction. Finally, the model is validated against data pertaining to the Baishuihe landslide in the Three Gorges, China. The experimental results and evaluation indicators demonstrate that this method achieves a better prediction performance than the classical prediction methods, and landslide displacement can be effectively predicted. Full article
(This article belongs to the Special Issue Environmental and Safety Issues to Protect People's Health)
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Review

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21 pages, 7546 KiB  
Review
Safety Issues in Buckling of Steel Structures by Improving Accuracy of Historical Methods
by Juan Carlos Pomares, Javier Pereiro-Barceló, Antonio González and Rafael Aguilar
Int. J. Environ. Res. Public Health 2021, 18(22), 12253; https://doi.org/10.3390/ijerph182212253 - 22 Nov 2021
Cited by 3 | Viewed by 3005
Abstract
Buckling of structural elements is a phenomenon that has great consequences on the bearing capacity of structures. Historically, there have been serious buckling-related structural accidents that have resulted in loss of human lives and high material costs. In this article, an attempt is [...] Read more.
Buckling of structural elements is a phenomenon that has great consequences on the bearing capacity of structures. Historically, there have been serious buckling-related structural accidents that have resulted in loss of human lives and high material costs. In this article, an attempt is made to perform a historical analysis of the diverse models that experts have been using in designing and calculating compression buckling of simple metallic elements in the last 275 years. The analysis covers the lapse from the mid-18th century, in which the pioneers in this classic field of structural design are located, up to the present, highlighting the main standards that have been applied to steel structural analysis in the past and at present all over the world. What the study tries to provide is an overall view and a sense of continuity of the methods used for improving structural safety regarding buckling failures in the last three centuries. Each analyzed buckling model is compared with the results of a numerical finite element model of compressed steel columns. Finally, the conclusion reached is that in the last one hundred years, the convergence of solutions proposed in the field is gradually greater and more accurate. Full article
(This article belongs to the Special Issue Environmental and Safety Issues to Protect People's Health)
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