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Journals
Atmosphere
Special Issues
The Impact of Climate Change on Water Resources
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Special Issue "The Impact of Climate Change on Water Resources"

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".

Deadline for manuscript submissions: closed (26 October 2023) | Viewed by 1696

Special Issue Editors

Dr. Mohamed Hamdi

E-Mail Website
Guest Editor
CARTEL—Centre d’Applications et de Recherches en Télédétection, Département de Géomatique Appliquée, Université de Sherbrooke, Québec, QC J1K 2R1, Canada
Interests: hydrogeology; remote sensing; MODFLOW; GRACE/GRACE-FO data; climate change; SWAT model
Dr. Kalifa Goïta

E-Mail Website
Guest Editor
CARTEL—Centre d’Applications et de Recherches en Télédétection, Département de Géomatique Appliquée, Université de Sherbrooke, Québec, QC J1K 2R1, Canada
Interests: remote sensing; radar; GRACE/GRACE-FO data; climate change; hydrological modeling

Special Issue Information

Dear Colleagues,

Recent hydrogeological research has confirmed that depletion is the most common problem for groundwater in many parts of the world. Indeed, climate change is leading to water scarcity in many regions due to a decline in heavy and erratic rainfall, flooding, prolonged droughts, changes in the water cycle, and other mechanisms that dependent on it. This situation is exacerbated in the aforementioned regions, characterized by scarce and irregular surface runoff. Groundwater is then the main resource in these regions; it is characterized by very low renewal rates and is extremely sensitive to climate change. 

The depletion of water resources has been the subject of several climatological, hydrological, and hydrogeological studies, which have shown that the status of the resource mainly depends on the internal architecture of aquifers, precipitation, and exploitation, which are mainly controlled by climate change. Therefore, it seems essential to understand the process and phenomena controlling the response of aquifer systems that are exposed to these global changes.

New visualization, processing, and modeling technologies, such as process-oriented methods and remote sensing data-driven methods, are now widely applied in hydrogeological studies. Hydrogeological and hydrological modeling is an increasingly used tool used to check the consistency of available data, for a better understanding and more reliable analysis of the complex responses of the hydrosystems facing climate change. The results that have emerged from the analysis of these works relate to the difficulties of acquiring reliable data and allow us to better account for the complexity of the systems. The objective of this Special Issue is to contribute to analyzing the relevance of new technologies of data acquisition (hydrogeological data and remote sensing data), interpretation, and processing, in order to better elucidate the impact of climate change on water resources.

Dr. Mohamed Hamdi
Dr. Kalifa Goïta
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. 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

  • climate change
  • safe water
  • strategic water
  • precipitation
  • drought
  • flood
  • meteorological indices
  • remote-sensing-based drought indices
  • water resources management
  • process-oriented method (numerical modeling)
  • satellite data-driven method

Published Papers (2 papers)

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Research

26 pages, 6285 KiB  
Article
Semiarid Lakes of Southwestern Siberia as Sentinels of On-Going Climate Change: Hydrochemistry, the Carbon Cycle, and Modern Carbonate Mineral Formation
by
Andrey Novoselov
,
Alexandr Konstantinov
,
Elizaveta Konstantinova
,
Yulia Simakova
,
Artem Lim
,
Alina Kurasova
,
Sergey Loiko
and
Oleg S. Pokrovsky
Atmosphere 2023, 14(11), 1624; https://doi.org/10.3390/atmos14111624 - 29 Oct 2023
Viewed by 464
Abstract
Towards a better understanding of factors controlling carbon (C) exchange between inland waters and atmosphere, we addressed the inorganic carbon cycle in semiarid lakes of Central Eurasia, subjected to the strong impact of on-going climate change. As such, we assessed the hydrochemical variability [...] Read more.
Towards a better understanding of factors controlling carbon (C) exchange between inland waters and atmosphere, we addressed the inorganic carbon cycle in semiarid lakes of Central Eurasia, subjected to the strong impact of on-going climate change. As such, we assessed the hydrochemical variability and quantified its control on the formation of authigenic carbonate minerals, occurring within the upper layer of sediments in 43 semiarid lakes located in the southwest of Western Siberia (Central Eurasia). Based on measurements of pH, total dissolved solids (TDS), cationic and anionic composition, dissolved organic and inorganic C, as well as textural and mineralogical characterization of bottom sediments using X-ray diffraction and scanning electron microscopy, we demonstrate that lake water pH and TDS are primarily controlled by both the lithological and climatic context of the lake watershed. We have not revealed any direct relationships between lake morphology and water chemistry. The most common authigenic carbonates scavenging atmospheric CO2 in the form of insoluble minerals in lake sediments were calcite, aragonite, Mg-calcite, dolomite and hydromagnesite. The calcite was the most common component, aragonite mainly appears in lakes with sediments enriched in gastropod shells or artemia cysts, while hydromagnesite was most common in lakes with high Mg/Ca molar ratios, as well as at high DIC concentrations. The relationships between mineral formation and water chemistry established in this study can be generalized to a wide suite of arid and semiarid lakes in order to characterize the current status of the inorganic C cycle and predict its possible modification under on-going climate warming such as a rise water temperature and a change in hydrological connectivity, primary productivity and nutrient regime. Full article
(This article belongs to the Special Issue The Impact of Climate Change on Water Resources)
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18 pages, 4155 KiB  
Article
Evaluating Drought Effects on Soil: Innovative Soil Salinity Monitoring via SAR Data, Sentinel-2 Imagery, and Machine Learning Algorithms in Kerkennah Archipelago
by
Sarra Hihi
,
Rim Katlane
,
Boubaker Kilani
,
Mohamed Waddah Zekri
,
Rafik Bensalah
,
Christian Siewert
and
Monem Kallel
Atmosphere 2023, 14(10), 1514; https://doi.org/10.3390/atmos14101514 - 29 Sep 2023
Viewed by 584
Abstract
The Kerkennah archipelago in Tunisia is one of the most vulnerable areas where the influence of climate change is undeniable. Soil salinization has emerged as a major consequence of climate variation on this island. In this study, remote sensing techniques were implemented to [...] Read more.
The Kerkennah archipelago in Tunisia is one of the most vulnerable areas where the influence of climate change is undeniable. Soil salinization has emerged as a major consequence of climate variation on this island. In this study, remote sensing techniques were implemented to develop a model for predicting soil salinity from satellite images. Machine learning algorithms, Sentinel-1 and Sentinel-2 data, and ground truth measurements were used to estimate soil salinity. Several algorithms were considered to achieve accurate findings. These algorithms are categorized as polynomial regression, random forest regression, exponential regression, and linear regression. The results demonstrate that exponential regression is the pre-eminent algorithm for estimating soil salinity with high predictive accuracy of R2 = 0.75 and RMSE = 0.47 ds/m. However, spatiotemporal soil salinity maps reveal distinct and clear distribution patterns, highlighting salty areas (i.e., sebkhas) and agricultural parcels. Thus, through the model, we explore areas of moderately high salinity within agricultural lands that could be affected by irrigation practices. The present work demonstrates a reliable model for soil salinity monitoring in the Kerkennah archipelago and inspires more successful technologies such as remote sensing and machine learning to improve the estimation of soil salinity in climate-affected vulnerable areas. Full article
(This article belongs to the Special Issue The Impact of Climate Change on Water Resources)
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