Jihad Othman
Utah State University
Recent Activity
ABSTRACT:
Understanding the subsurface water depth fluctuations is highly required for any further groundwater studies. In this project, the historical water level of the groundwater was studied for Cache Valley, Utah. Data of wells were called from USGS using Python, through the web service ‘NWIS’ function. Only the six wells that have enough observations were selected and then located spatially on a map. The data were plotted and statistically analyzed using different tools. Also, the data of some wells showed an abrupt change in the threshold conditions of the time series after 1987. The water table depth correlation of every two wells was visually related to the distance between the wells as they fitted the exponential correlation curve more than the linear one. Quantitatively, the Pearson test proved that the correlation between wells is correlated to the distance between them.
ABSTRACT:
Karst aquifers are important water resources all over the globe. Due to the fractured and dissolved geology in karst aquifers, the exchange between stream and groundwater is difficult to quantify. One method for estimating stream and groundwater exchange is solving a mass balance at the reach scale (Neilson et al. 2018). Primarily, a mass balance requires discharge and concentration data for a conservative constituent such as sodium or chloride. Secondarily, a mass balance requires several assumptions to limit the unknowns. Variations in which concentration data and assumptions are used in the mass balance produce numerous estimations of exchange rates between stream and groundwater for many scenarios. The purpose of this resource was to effectively store exchange rate estimates for various scenarios and provide an accessible interface to analyze the scenario estimates for 26 reaches in Logan Canyon. This resource includes an SQLite database that stores the estimate and scenario data. Then, the database was populated by linking it to the mass balance model. Additionally, GIS was used to obtain geologic layer data, a portion of this data was also added to the database. The Jupyter Notebook included in this resource analyzes the model output and examines the sensitivity of the model to parameters such as assumptions and data input.
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Created: April 4, 2023, 6:28 p.m.
Authors: Hill, Devon Scott · Douglas, Jake · Othman, Jihad
ABSTRACT:
Karst aquifers are important water resources all over the globe. Due to the fractured and dissolved geology in karst aquifers, the exchange between stream and groundwater is difficult to quantify. One method for estimating stream and groundwater exchange is solving a mass balance at the reach scale (Neilson et al. 2018). Primarily, a mass balance requires discharge and concentration data for a conservative constituent such as sodium or chloride. Secondarily, a mass balance requires several assumptions to limit the unknowns. Variations in which concentration data and assumptions are used in the mass balance produce numerous estimations of exchange rates between stream and groundwater for many scenarios. The purpose of this resource was to effectively store exchange rate estimates for various scenarios and provide an accessible interface to analyze the scenario estimates for 26 reaches in Logan Canyon. This resource includes an SQLite database that stores the estimate and scenario data. Then, the database was populated by linking it to the mass balance model. Additionally, GIS was used to obtain geologic layer data, a portion of this data was also added to the database. The Jupyter Notebook included in this resource analyzes the model output and examines the sensitivity of the model to parameters such as assumptions and data input.
Created: April 16, 2023, 8:52 a.m.
Authors: Othman, Jihad
ABSTRACT:
Understanding the subsurface water depth fluctuations is highly required for any further groundwater studies. In this project, the historical water level of the groundwater was studied for Cache Valley, Utah. Data of wells were called from USGS using Python, through the web service ‘NWIS’ function. Only the six wells that have enough observations were selected and then located spatially on a map. The data were plotted and statistically analyzed using different tools. Also, the data of some wells showed an abrupt change in the threshold conditions of the time series after 1987. The water table depth correlation of every two wells was visually related to the distance between the wells as they fitted the exponential correlation curve more than the linear one. Quantitatively, the Pearson test proved that the correlation between wells is correlated to the distance between them.