2025 CSDMS meeting-026: Difference between revisions
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|CSDMS meeting abstract title=Seasonal Simulation of Water Table level Change Across North America by Using Water Table Model (WTM) | |||
|Working_group_member_WG_FRG=Hydrology Focus Research Group | |||
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|CSDMS meeting coauthor first name abstract=Kerry | |||
|CSDMS meeting coauthor last name abstract=Callaghan | |||
|CSDMS meeting coauthor institute / Organization=University of Illinois Chicago | |||
|CSDMS meeting coauthor town-city=Chicago | |||
|CSDMS meeting coauthor country=United States | |||
|State=Illinois | |||
|CSDMS meeting coauthor email address=kerryc@uic.edu | |||
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{{CSDMS meeting abstract template 2025 | |||
|CSDMS meeting abstract=This work investigates the spatial and temporal water table levels dynamics across North America for year 2020 CE, by using Water Table Model (WTM). The WTM offers a model of water table fluctuations at high resolution in space and time by incorporating climate data, hydrological processes and geological parameters. Results show strong natural variability due to climatic controls of water table, related to precipitation and evaporation. monthly analysis for the period 2020 reflected regional variability, including an increase in the water table in regions with consistent precipitation and a significant decline in drought-prone areas. The study emphasizes the lagged response of water table levels to precipitation events, reflecting time-dependent recharge dynamics. Model validation against USGS and FLake datasets shows the model accuracy with SNE values above 0.93. These results give critical insight into the long-term water table trends and inform the main directions of sustainable management and adaptation to future climate change impacts. | |||
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Revision as of 17:08, 6 February 2025
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Seasonal Simulation of Water Table level Change Across North America by Using Water Table Model (WTM)
Mohammad Haghiri,
University of Illinois Chicago Chicago Illinois, United States. mhaghi2@uic.edu
Kerry Callaghan, University of Illinois Chicago Chicago Illinois, United States. kerryc@uic.edu
This work investigates the spatial and temporal water table levels dynamics across North America for year 2020 CE, by using Water Table Model (WTM). The WTM offers a model of water table fluctuations at high resolution in space and time by incorporating climate data, hydrological processes and geological parameters. Results show strong natural variability due to climatic controls of water table, related to precipitation and evaporation. monthly analysis for the period 2020 reflected regional variability, including an increase in the water table in regions with consistent precipitation and a significant decline in drought-prone areas. The study emphasizes the lagged response of water table levels to precipitation events, reflecting time-dependent recharge dynamics. Model validation against USGS and FLake datasets shows the model accuracy with SNE values above 0.93. These results give critical insight into the long-term water table trends and inform the main directions of sustainable management and adaptation to future climate change impacts.
