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Applied Sciences
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Current Trends and Perspectives on Advances in Geosciences
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Current Trends and Perspectives on Advances in Geosciences

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: closed (20 March 2024) | Viewed by 3600

Special Issue Editors

Dr. Damian Kasza

E-Mail Website
Guest Editor
Department of Geodesy and Geoinformatics, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Interests: tectonics; geographic information systems (GISs); application of geodetic techniques in documentation and inventorization of the remains of historical mining works; geotourism
Dr. Isabel Fernandes

E-Mail Website
Guest Editor
Departament of Geology, University of Lisbon, 1749-016 Lisboa, Portugal
Interests: engineering geology; rock mass characterization; building materials; aggregates; applied petrography
Dr. Jan Blachowski

E-Mail Website
Guest Editor
Department of Geodesy and Geoinformation, Wrocław University of Science and Technology, 50-370 Wroclaw, Poland
Interests: modeling and analysis of natural and anthropogenic systems in geographic information systems (GISs); spatial statistics; spatial information infrastructure; deformation of mining and post-mining areas; mining surveying
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jörg Benndorf

E-Mail Website
Guest Editor
Department of Mine Surveying and Geodesy, TU Bergakademie Freiberg, 09599 Freiberg, Germany
Interests: geomonitoring; geostatistics and optimization in mining; mining impact prediction, mine surveying
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Geoscience is a multidisciplinary research topic covering a wide range of disciplines and scientific fields, such as geology, geography, geoengineering, mining engineering, power engineering and geomatics. Due to the global issues related to climate changes, the energy crisis, demand for raw materials, and the concept of sustainable development, there is a need to seek the further understanding of the Earth’s environment. The objective of this Special Issue is to present innovative and interdisciplinary solutions that provide insight into geo-related processes and make it possible to meet the challenges of the twenty-first century requirement for environmental quality and sustained natural resources usage.

Potential topics include, but are not limited to:

  1. Mining engineering: sustainable development; digitalisation in mining; problems of securing, protecting and using remnants of old mining works; underground mining; opencast mining; mineral processing; waste management; mining machinery; mine transport; economics in mining; mining aeronautics, ventilation and air conditioning in mines;
  2. Earth and space sciences: geology, hydrogeology, environmental protection, extraterrestrial resources, groundwater and medicinal waters, engineering and environmental protection, geotourism;
  3. Geoengineering: environmental protection, applied geotechnics, rock and soil mechanics, geohazards;
  4. Geoinformation: mining geodesy, GIS, photogrammetry and remote sensing, geodata modeling and analysis.

Dr. Damian Kasza
Dr. Isabel Fernandes
Dr. Jan Blachowski
Prof. Dr. Jörg Benndorf
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. Applied Sciences 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 2400 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

  • mining engineering
  • geology
  • geoengineering
  • geomatics

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

19 pages, 3440 KiB  
Article
AOSMA-MLP: A Novel Method for Hybrid Metaheuristics Artificial Neural Networks and a New Approach for Prediction of Geothermal Reservoir Temperature
by Ezgi Gurgenc, Osman Altay and Elif Varol Altay
Appl. Sci. 2024, 14(8), 3534; https://doi.org/10.3390/app14083534 - 22 Apr 2024
Viewed by 1006
Abstract
To ascertain the optimal and most efficient reservoir temperature of a geothermal source, long-term field studies and analyses utilizing specialized devices are essential. Although these requirements increase project costs and induce delays, utilizing machine learning techniques based on hydrogeochemical data can minimize losses [...] Read more.
To ascertain the optimal and most efficient reservoir temperature of a geothermal source, long-term field studies and analyses utilizing specialized devices are essential. Although these requirements increase project costs and induce delays, utilizing machine learning techniques based on hydrogeochemical data can minimize losses by accurately predicting reservoir temperatures. In recent years, applying hybrid methods to real-world challenges has become increasingly prevalent over traditional machine learning methodologies. This study introduces a novel machine learning approach, named AOSMA-MLP, integrating the adaptive opposition slime mould algorithm (AOSMA) and multilayer perceptron (MLP) techniques, specifically designed for predicting the reservoir temperature of geothermal resources. Additionally, this work compares the basic artificial neural network and widely recognized algorithms in the literature, such as the whale optimization algorithm, ant lion algorithm, and SMA, under equal conditions using various evaluation regression metrics. The results demonstrated that AOSMA-MLP outperforms basic MLP and other metaheuristic-based MLPs, with the AOSMA-trained MLP achieving the highest performance, indicated by an R2 value of 0.8514. The proposed AOSMA-MLP approach shows significant potential for yielding effective outcomes in various regression problems. Full article
(This article belongs to the Special Issue Current Trends and Perspectives on Advances in Geosciences)
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16 pages, 4086 KiB  
Article
Assessment of Spatial and Temporal Variation in NO2 Levels over Tourist Reception Areas in Poland
by Damian Mochocki and Wojciech Zgłobicki
Appl. Sci. 2023, 13(16), 9477; https://doi.org/10.3390/app13169477 - 21 Aug 2023
Cited by 1 | Viewed by 1249
Abstract
Air quality in tourist reception areas can be a significant health concern. It also plays an increasingly important role when it comes to choosing tourist destinations. NO2 is a harmful gas that can cause an increased number of cancer or respiratory diseases. [...] Read more.
Air quality in tourist reception areas can be a significant health concern. It also plays an increasingly important role when it comes to choosing tourist destinations. NO2 is a harmful gas that can cause an increased number of cancer or respiratory diseases. The development of satellite remote sensing techniques now enables a much broader spectrum of air quality analysis than mere point measurements at environment monitoring stations. In the study, the spatial diversity of nitrogen dioxide air pollution over tourist reception areas in Poland was assessed. The lowest pollution was found in national parks and tourist regions. The most polluted air was found in tourist reception areas located near industrial regions and large urban agglomerations. Temporal variation—annual and monthly—and spatial variation were determined (for the period 2019–2021). The highest concentrations, exceeding the WHO recommended value (40 μmol/m2), occurred in the winter and autumn. Low pollution was found in most reception areas in the summer (except cities). In 2020, due to restrictions related to the SARS-CoV-2 epidemic, the NO2 pollution decreased (10–20%). In the cold half of the year (October–April), NO2 concentrations greater than 40 μmol/m2 occurred for about 20% of national parks, 50% of health resorts, 30% of tourist regions, and 100% of provincial capitals. Full article
(This article belongs to the Special Issue Current Trends and Perspectives on Advances in Geosciences)
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