The Connection between Land, Forest, and Atmosphere and Analysis using the Advanced Techniques

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: closed (23 August 2022) | Viewed by 4074

Special Issue Editor


E-Mail Website
Guest Editor
Department of Geospatial and Environmental Science, Faculty of Geography, University of Belgrade, Studenstki Trg 3/III, 11000 Belgrade, Serbia
Interests: GIS; remote sensing; water science; meteorology; climatology; environment; digital cartography; atmosphere; statistics; numerical analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Atmosphere present one of the most sphere essential for the life on Earth. The modern atmosphere probably is the fourth general atmosphere in Earth history. Unfortunately, today's Atmosphere is vulnerable, the most sensitive area in comparison to all layers on the earth. The troposphere is in the permanent connection with the land and the process on the land gets high influence on the atmosphere. Forest is crucial for the biosphere, without forest the troposphere will be different and with changed physical and chemical characteristics. Measuring atmosphere chemical and the physical properties using modern techniques today is more significant and valuable. Measuring the physical and chemical characteristics of forest and land is valuable for analyzing atmosphere effects and influence on land and forest. Modern techniques such as GIS (Geographical Information Systems), Remote Sensing (RS), Numerical Analysis (NA), chemical characteristics (CC), Physical characteristics (PC), are useful for analyzing. The connections between land, forest, and atmosphere. 

Therefore, topics of interest for publication include, but are not limited to:

  • Atmosphere analysis of all layers using modern techniques 
  • Analysis of land in connection with the atmosphere
  • Analysis of forests in connection with the atmosphere
  • Forecasting and estimating the intensity of influence of the atmosphere on forest and land;
  • Using modern techniques and methodologies in analyzing of atmospheric process 
  • Physical and chemical characteristics of the atmosphere and its measurement

Dr. Aleksandar Dj Valjarević
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.

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. Atmosphere is an international peer-reviewed open access monthly 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

  • atmospheric processes
  • atmosphere events
  • land
  • forest
  • advanced methods

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

21 pages, 2776 KiB  
Article
GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia
by Uroš Durlević, Aleksandar Valjarević, Ivan Novković, Nina B. Ćurčić, Mirjana Smiljić, Cezar Morar, Alina Stoica, Danijel Barišić and Tin Lukić
Atmosphere 2022, 13(8), 1229; https://doi.org/10.3390/atmos13081229 - 3 Aug 2022
Cited by 11 | Viewed by 3243
Abstract
Snow avalanches are one of the most devastating natural hazards in the highlands that often cause human casualties and economic losses. The complex process of modeling terrain susceptibility requires the application of modern methods and software. The prediction of avalanches in this study [...] Read more.
Snow avalanches are one of the most devastating natural hazards in the highlands that often cause human casualties and economic losses. The complex process of modeling terrain susceptibility requires the application of modern methods and software. The prediction of avalanches in this study is based on the use of geographic information systems (GIS), remote sensing, and multicriteria analysis—analytic hierarchy process (AHP) on the territory of the Šar Mountains (Serbia). Five indicators (lithological, geomorphological, hydrological, vegetation, and climatic) were processed, where 14 criteria were analyzed. The results showed that approximately 20% of the investigated area is highly susceptible to avalanches and that 24% of the area has a medium susceptibility. Based on the results, settlements where avalanche protection measures should be applied have been singled out. The obtained data can will help local self-governments, emergency management services, and mountaineering services to mitigate human and material losses from the snow avalanches. This is the first research in the Republic of Serbia that deals with GIS-AHP spatial modeling of snow avalanches, and methodology and criteria used in this study can be tested in other high mountainous regions. Full article
Show Figures

Figure 1

Back to TopTop