Modeling Applications for Water Resource Security under Changing Climatic Conditions

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biosphere/Hydrosphere/Land–Atmosphere Interactions".

Deadline for manuscript submissions: closed (30 December 2024) | Viewed by 1169

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College of Resources and Environmental Science, China Agricultural University (CAU), Beijing 100094, China
Interests: atmospheric data assimilation; hydrological modeling; land surface model assimilation
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Department of Civil Engineering, The University of Hong Kong (HKU), Hong Kong, China
Interests: water resources; climate change; multi-scale terrestrial hydrologic processes; urbanization; remote sensing application to hydrology; natural hazards
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Department of Geology, University of Cincinnati, Cincinnati, OH 45221-0013, USA
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Edwards Aquifer Authority, 900 E. Quincy, San Antonio, TX 78215, USA
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School of Human Settlements & Civil Engineering, Xi'an Jiaotong University, Xi'an 710000, China
Interests: watershed hydrology; non-point source pollution; climate change; model development and integration
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College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
Interests: ecohydrological processes; climate change; ecohydrological modeling; water resource management; water cycle; drought
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Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
Interests: rainfall and streamflow modeling; ecosystem modeling; human-water Interactions

Special Issue Information

Dear Colleagues,

Investigating high-resolution atmosphere–hydrology coupled modeling systems under the influence of intensive climate change/variability and human activities can lay a scientific foundation for water resources security in areas of extensive human activities, and it can enhance the basic support capacity to ensure water safety in water-scarce areas. This Special Issue, “Modeling applications under changing climatic conditions on water resource security”, solicits papers on recent advances and applications in the areas of "natural–social" dualistic water cycle theory and high-resolution atmosphere (e.g., China Meteorological Assimilation Driving Datasets for the SWAT Model Long Series (CMADS-L) [http://www.cmads.org] ) hydrology coupled modeling.

These may include, but are not limited to, water disasters, water environment modeling, non-point source pollution modeling, eco-hydrological modeling, climate change research, uncertainty analysis of hydrological modeling, response of water resources under climate change, the impact of agriculture on climate change and anthropogenic activities, meteorological analysis, meteorological verification, model intercomparison, atmosphere–hydrology coupled modeling, watershed surface water–groundwater interactions, virtual water, and reservoir regulation. We especially encourage research manuscripts on theoretical, computational, and field studies on the topics above.

Prof. Dr. Xianyong Meng
Prof. Dr. Ji Chen
Dr. Reza Soltanian
Dr. Changbing Yang
Prof. Dr. Yiping Wu
Prof. Dr. Lianqing Xue
Prof. Dr. Bellie Sivakumar
Guest Editors

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Keywords

  • CMADS-L
  • dualistic water cycle
  • climate change
  • hydrology
  • meteorology
  • water security
  • natural hazards
  • SWAT

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Published Papers (1 paper)

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Research

22 pages, 7910 KiB  
Article
The Contribution of Moisture Sources of Precipitation to Water Resources Recharge in Semi-Arid Regions
by Hossein Mohammadzadeh, Rogert Sorí and Mojtaba Heydarizad
Atmosphere 2024, 15(11), 1274; https://doi.org/10.3390/atmos15111274 - 24 Oct 2024
Cited by 1 | Viewed by 822
Abstract
This study investigates the isotopic composition of precipitation in Iran and its moisture sources, offering insights crucial for addressing water recharge and management in semi-arid regions. This study analyzes 150 precipitation events collected from 11 stations across Iran over multiple years. The HYSPLIT [...] Read more.
This study investigates the isotopic composition of precipitation in Iran and its moisture sources, offering insights crucial for addressing water recharge and management in semi-arid regions. This study analyzes 150 precipitation events collected from 11 stations across Iran over multiple years. The HYSPLIT model was used to trace air mass trajectories contributing to these events. The isotopic composition of precipitation from each moisture source was examined to identify their distinct characteristics. Furthermore, the contribution of each air mass to groundwater and surface water recharge was quantified using the Simmr mixing model in R programming language, combining stable isotope data from precipitation and surface/groundwater samples. Precipitation in northern Iran is associated with low d-excess values, indicating moisture from high-latitude sources, particularly the Caspian Sea, while higher d-excess values in the west and south point to moisture mainly from the Persian Gulf and the Mediterranean Sea. Air mass trajectory analysis via the HYSPLIT model identified the dominant pathways of Continental Tropical (CT), Continental Polar (CP), and Mediterranean (MedT) air masses across Iran. Quantitative analysis using the Simmr mixing model revealed that the CT air mass contributes up to 33.6% to groundwater recharge in southern Iran’s karstic regions, while the CP air mass dominates in the north, with up to 46.8% contribution. The MedT air mass, although significant in the west, decreases in influence towards the east. Isotope data from groundwater and surface water sites showed more depleted values than local precipitation, likely due to larger catchment areas. These findings contribute to water management strategies by identifying the variations in moisture sources that influence groundwater and surface water recharge in Iran. Understanding these variations enables the development of targeted strategies for managing water resources in semi-arid regions facing increasing water scarcity. The methodologies applied in this study can be adapted to other regions, providing a valuable framework for sustainable water management in areas where identifying moisture sources is critical. Full article
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