Land, Geosciences Research and Application

A special issue of Land (ISSN 2073-445X).

Deadline for manuscript submissions: 31 May 2024 | Viewed by 1317

Special Issue Editors


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Guest Editor
Geographical Institute “Jovan Cvijić” Serbian Academy of Sciences and Arts, 11000 Belgrade, Serbia
Interests: hydrology; water protection; environmental protection

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Guest Editor
Centre for Water Systems, University of Exeter, Exeter EX4 4QF, UK
Interests: water networks; flood impacts; drought risk; extreme weather and other natural hazards; land-use and land-cover changes
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Geographical Institute “Jovan Cvijić” Serbian Academy of Sciences and Arts, 11000 Belgrade, Serbia
Interests: climatology; climate change; climate regions

Special Issue Information

Dear Colleagues,

Geosciences research and applications are of crucial interest in science and many areas of modern life. For this reason, exchanging knowledge in various relevant areas is essential for development in scientific, engineering and programming activities. The Special Issue aims to highlight the importance of joint research of experts in these fields and provide a platform for knowledge exchange between various aspects of land studies and their application in science, technology and practice. The goal of this Special Issue is to collect papers (original research articles and review papers) which address connection and interdependency between land and other parts of environment, including atmosphere, space weather, lithosphere, hydrosphere and biosphere. The Special Issues will include studies which deal with the environmental problems related to natural resources such as water, air and soil, their quality, degradation, and protection. Natural hazards will be also analysed in term of their causes, consequences, prevention and mitigation as well as their impacts on land. Geoinformation technologies and their application in land research will be also subject of the Special Issue.

This Special Issue will include a selection of papers based on presentations at the International Conference on Recent Trends in Geoscience Research and Applications (https://geoscira.wixsite.com/2023) that will be held in late October 2023. Other contributions unrelated to this event will also be considered for publication in this Special Issue.

The Special issue will welcome manuscripts that link the following themes:

  • The atmosphere and the land
  • Surface and ground waters and land
  • The lithosphere and the land
  • The biosphere and the land
  • Geoinformation technologies
  • Natural hazards and the land
  • Environmental issues
  • Soil physics and chemistry
  • Space weather and the land

Dr. Dejana Jakovljević
Prof. Dr. Slobodan Djordjevic
Dr. Boško Milovanović
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. Land 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 2600 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

  • land
  • geoscience
  • geoinformation
  • natural hazards
  • environment

Published Papers (1 paper)

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Research

16 pages, 5020 KiB  
Article
Investigation of Model Uncertainty in Rainfall-Induced Landslide Prediction under Changing Climate Conditions
by Yulin Chen, Enze Chen, Jun Zhang, Jingxuan Zhu, Yuanyuan Xiao and Qiang Dai
Land 2023, 12(9), 1732; https://doi.org/10.3390/land12091732 - 6 Sep 2023
Cited by 1 | Viewed by 787
Abstract
Climate change can exacerbate the occurrence of extreme precipitation events, thereby affecting both the frequency and intensity of rainfall-induced landslides. It is important to study the threat of rainfall-induced landslides under future climate conditions for the formulation of disaster prevention and mitigation policies. [...] Read more.
Climate change can exacerbate the occurrence of extreme precipitation events, thereby affecting both the frequency and intensity of rainfall-induced landslides. It is important to study the threat of rainfall-induced landslides under future climate conditions for the formulation of disaster prevention and mitigation policies. Due to the complexity of the climate system, there is great uncertainty in the climate variables simulated by a global climate model (GCM), which will be further propagated in landslide prediction. In this study, we investigate the spatial and temporal trends of future landslide hazards in China under climate change, using data from a multi-model ensemble of GCMs based on two scenarios, RCP4.5 and RCP8.5. The uncertainty characteristics are then estimated based on signal-to-noise ratios (SNRs) and the ratio of agreement in sign (RAS). The results show that the uncertainty of landslide prediction is mainly dominated by the GCM ensemble and the RCP scenario settings. Spatially, the uncertainty of landslide prediction is high in the western areas of China and low in the eastern areas of China. Temporally, the uncertainty of landslide prediction is evolving, with characteristics of high uncertainty in the near future and characteristics of low uncertainty in the distant future. The annual average SNRs in the 21st century are 0.44 and 0.50 in RCP4.5 and RCP8.5, respectively, and the RAS of landslide prediction in Southeastern China is only 50–60%. This indicates that more than half of the patterns show trends that are opposite to those of the ensemble, suggesting that their landslide change trends are not universally recognized in the pattern ensemble. Considering the uncertainty of climate change in landslide prediction can enable studies to provide a more comprehensive picture of the possible range of future landslide changes, effectively improving the reliability of landslide hazard prediction and disaster prevention. Full article
(This article belongs to the Special Issue Land, Geosciences Research and Application)
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