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Atmosphere
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Impacts of Climate Change on Basin Hydrology
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Impacts of Climate Change on Basin Hydrology

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 2929

Special Issue Editor

Dr. Jian Sha

E-Mail Website
Guest Editor
Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin 300387, China
Interests: watershed hydrochemical model; impacts of climate change on water processes in the basin; application of artificial intelligence in climate change and basin hydrology

Special Issue Information

Dear Colleagues,

Climate change has posed significant challenges to global water resources, particularly affecting basin hydrology. As these impacts become more pronounced, it is crucial to understand the intricacies of climate-induced alterations to hydrological processes in order to address the ensuing challenges to water resources. This Special Issue invites contributions that examine the impacts of climate change on basin hydrology, with a focus on assessing and addressing the associated consequences on water resources and management strategies.

It is crucial to understand the intricacies of climate-induced alterations to hydrological processes in order to address the ensuing challenges to water resources.

The objective of this Special Issue is to evaluate atmospheric, hydrological, and climatic interactions and their implications for water resources in various regions by showcasing novel research methodologies, interdisciplinary perspectives, and innovative approaches, emphasizing the importance of interdisciplinary research in addressing climate change challenges.

Key topics include, but are not limited to, the following:

  1. Investigation of modeled and/or projected shifts in precipitation patterns and their consequences for basin hydrology within the context of climate change scenarios.
  2. Application of advanced numerical and statistical modeling techniques, including various innovative deep learning approaches, to evaluate and forecast hydrological responses to climate change.
  3. Implementation of mechanistic and statistical-based downscaling techniques for GCM data, with a particular focus on the integration of emerging artificial intelligence methodologies.
  4. Analysis of surface–atmosphere water interactions in the context of climate change, encompassing precipitation, evaporation, surface runoff, soil moisture, groundwater, and streamflows.
  5. Assessment of the influence of land-use changes on hydrological processes and precipitation variability in impacted basins, with a particular emphasis on the interplay between these changes and global climate change effects.
  6. Examination of extreme events (e.g., droughts and floods) and their underlying mechanisms in relation to basin hydrology and climate change.
  7. Integration of remote sensing and hydrological measurements for monitoring and managing basin hydrology under climate change.
  8. Formulation and implementation of adaptive water resources management strategies to address the challenges posed by climate change on basin hydrology.

Dr. Jian Sha
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

  • basin hydrology
  • climate change impacts
  • numerical modeling
  • statistical downscaling
  • artificial intelligence
  • precipitation variability
  • water resources management

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Published Papers (3 papers)

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Research

21 pages, 6022 KiB  
Article
River Flashiness in Great Britain: A Spatio-Temporal Analysis
by Benjamin Olin and Lindsay Beevers
Atmosphere 2024, 15(9), 1025; https://doi.org/10.3390/atmos15091025 - 24 Aug 2024
Viewed by 360
Abstract
Flashiness refers to the rapidity and frequency of fluctuations in river flow. It can provide insights into flooding, by capturing dramatic increases in river flow, as well as contaminant transport, relating to concentrations of diffuse pollution. Despite a very well gauged river system, [...] Read more.
Flashiness refers to the rapidity and frequency of fluctuations in river flow. It can provide insights into flooding, by capturing dramatic increases in river flow, as well as contaminant transport, relating to concentrations of diffuse pollution. Despite a very well gauged river system, there is limited research in Great Britain targeting this component of river flow. This study addresses that gap in knowledge, with a detailed spatio-temporal analysis of river flashiness in Great Britain. Using 513 gauging stations, with historical records of at least 30 years, the average Richards–Baker flashiness index (RBI¯) was calculated for 1990–2020, showing an overall west- (0.6–0.8) to east-coast (0.1–0.2) gradient, being higher in the west (with the exception of some gauges in the south-east). Employing random forest models, the main predictor for flashiness was found to be soil composition, with some additional region-specific predictors. These include flood attenuation by reservoirs and catchment areas, affecting flashiness in the north and west of Great Britain. Additionally, using a subset of 208 gauging stations with data recorded from 1970 to 2020, a temporal analysis examined significant breakpoints and/or trends in yearly flashiness, using the Pettitt test and Mann–Kendall trend test, respectively. Increases in flashiness were found mainly in the north-east and south-west of Great Britain, with implications in flooding and river health. On a seasonal scale, and using a monthly RBI¯, the timing of flashy events was found to oscillate between autumn and spring over the 50 years, gravitating around winter. Full article
(This article belongs to the Special Issue Impacts of Climate Change on Basin Hydrology)
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15 pages, 5045 KiB  
Article
Frequency of Italian Record-Breaking Floods over the Last Century (1911–2020)
by Attilio Castellarin, Andrea Magnini, Kay Khaing Kyaw, Filippo Ciavaglia, Miriam Bertola, Gunter Blöschl, Elena Volpi, Pierluigi Claps, Alberto Viglione, Alberto Marinelli and Richard M. Vogel
Atmosphere 2024, 15(7), 865; https://doi.org/10.3390/atmos15070865 - 22 Jul 2024
Viewed by 630
Abstract
This study provides an in-depth analysis of the frequency of extreme streamflow in Italy, adopting the innovative perspective of the theory of records, and focusing on record-breaking floods. (i.e., annual maximum series, AMS) observed in Italy between 1911 and 2020. Our research employs [...] Read more.
This study provides an in-depth analysis of the frequency of extreme streamflow in Italy, adopting the innovative perspective of the theory of records, and focusing on record-breaking floods. (i.e., annual maximum series, AMS) observed in Italy between 1911 and 2020. Our research employs an extensive dataset of 522 annual maximum series (AMS) of streamflow observed across Italy between 1911 and 2020. We consider three time intervals (1911–2020, 1911–1970, and 1971–2020), and we define pooling-groups of AMSs based on (a) hydrological (e.g., catchment size, mean annual precipitation, etc.) and (b) spatial proximities of the gauged sites. First, within each group and for each time period, we compute the regional average number of record-breaking events (NRbins). Second, with a series of resampling experiments that preserve the spatial correlation among the AMSs, we test the hypothesis that NRbins result from a group of stationary sequences. Our results show spatially coherent patterns of an increasing number of record-breaking floods in central and in northeastern Italy over the last 50 years. In the same time interval, significant deviations in the regional number of record-breaking events from what would be expected for stationary flood sequences seem to be more common in drier climates or at higher altitudes, while the catchment size does not seem to be a meaningful descriptor. Full article
(This article belongs to the Special Issue Impacts of Climate Change on Basin Hydrology)
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20 pages, 22691 KiB  
Article
Combined Effects of Land Use/Cover Change and Climate Change on Runoff in the Jinghe River Basin, China
by Yu Liu, Zilong Guan, Tingting Huang, Chenchao Wang, Ronghao Guan and Xiaoyi Ma
Atmosphere 2023, 14(8), 1237; https://doi.org/10.3390/atmos14081237 - 31 Jul 2023
Cited by 2 | Viewed by 1160
Abstract
In the context of global warming and intensified human activities, the quantitative assessment of the combined effects of land use/cover change (LUCC) and climate change on the hydrological cycle is crucial. This study was based on the simulation results of future climate and [...] Read more.
In the context of global warming and intensified human activities, the quantitative assessment of the combined effects of land use/cover change (LUCC) and climate change on the hydrological cycle is crucial. This study was based on the simulation results of future climate and LUCC in the Jinghe River Basin (JRB) using the GFDL–ESM2M and CA–Markov combined with the SWAT models to simulate the runoff changes under different scenarios. The results revealed that the future annual precipitation and average temperature in the JRB are on the increase, and the future LUCC changes are mainly reflected in the increase in forest and urban lands and decrease in farmlands. Changes in runoff in the JRB are dominated by precipitation, and the frequency of extreme events increases with the increase in the concentration of CO2 emissions. Under four climate scenarios, the contribution of future climate change to runoff changes in the JRB is −8.06%, −27.30%, −8.12%, and +1.10%, respectively, whereas the influence of future LUCC changes is smaller, ranging from 1.14–1.64%. In response to the future risk of increasing water-resources stress in the JRB, the results of this study can provide a scientific basis for ecological protection and water-resources management and development. Full article
(This article belongs to the Special Issue Impacts of Climate Change on Basin Hydrology)
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