Innovative Monitoring Techniques and Modeling Approaches for Natural Hazards

A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Design, Modeling and Computing Methods".

Deadline for manuscript submissions: closed (20 November 2024) | Viewed by 1658

Special Issue Editor


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Guest Editor
School of Civil Engineering and Transportation, Hebei University of Technology, Tianjin, China
Interests: natural hazards; landslide risk analysis; numerical modelling; spatial analysis; hazard assessment; machine learning models; run-out analysis; susceptibility
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Special Issue Information

Dear Colleagues,

Natural hazards are common worldwide and, more often that, cause catastrophic consequences including considerable deaths and economic losses. Given that many people and environments suffer from these hazards every year, these events are receiving increasing attention and investigation from both the science community and local authorities. Hazards can originate in different sources and systems, such as geological, atmospheric, hydrological, oceanographic, volcanological, and seismic; therefore, it is important to monitor and model them with the aim of reducing and mitigating the risk.

The aim of this Special Issue is to provide an outlet for studies that propose and develop innovative monitoring techniques and modeling approaches for natural hazards. We encourage submissions regarding the following fields: field investigation and monitoring; early-warning systems; multiple-hazard modelling and assessment; numerical simulation; GIS-based risk assessment; and hazard prediction.

Dr. Zizheng Guo
Guest Editor

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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Keywords

  • natural hazard
  • monitoring
  • early-warning system
  • modelling
  • numerical method
  • risk assessment
  • GIS

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Published Papers (1 paper)

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Research

21 pages, 3242 KiB  
Article
Information and Analytical System Monitoring and Assessment of the Water Bodies State in the Mineral Resources Complex
by Olga Afanaseva, Mikhail Afanasyev, Semyon Neyrus, Dmitry Pervukhin and Dmitry Tukeev
Inventions 2024, 9(6), 115; https://doi.org/10.3390/inventions9060115 - 12 Nov 2024
Cited by 13 | Viewed by 1063
Abstract
Currently, one of the most pressing global issues is ensuring that human activities have access to water resources that meet essential quality standards. This challenge is addressed by implementing a series of organizational and technical measures aimed at preserving the ecology of water [...] Read more.
Currently, one of the most pressing global issues is ensuring that human activities have access to water resources that meet essential quality standards. This challenge is addressed by implementing a series of organizational and technical measures aimed at preserving the ecology of water basins and reducing the level of harmful industrial emissions and other pollutants in the aquatic environment. To guarantee the necessary quality of water resources, monitoring is conducted based on selected parameters using various methods and means of technical quality control. From these results, suitable measures are formulated and applied to maintain water quality. Various scientific works extensively discuss different approaches to water quality management and compliance with specified requirements. Modern strategies for developing water monitoring systems leverage the capabilities of information systems that collect, process, store, and transmit information, enabling the resolution of issues in geographically distributed water bodies in real time. This paper proposes an approach that employs mathematical methods to identify the most significant factors determining water quality and to assess their interrelations using methods of a priori ranking, multivariate correlation regression analysis, and integral quantitative assessment. A hardware and software solution for the development of a unified integrated information and analytical system is proposed. This system enables continuous monitoring and assessment of water bodies based on a set of key parameters, addressing a range of critical tasks. This paper provides a detailed description of the software product, presents a demonstration using real-world data, and discusses the anticipated benefits of implementing such an information and analytical system. Full article
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