Source Water Identification in Alluvial Aquifers along the Ohio River with Reference to Hydrogeology, Geochemistry, Stable Isotope and Numerical Model

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1.1 Introduction
Groundwater is in contact with surface water. However, traditionally, groundwater and surface water used to be considered as separate water resources (Winter, 1998). Because of that, management of groundwater and surface water resources poses a risk of allocating the same water twice in the water budget (Geosciences Australia, 2013). Not only two resources are in close contact rather they do interact. So, Winter (1998) considered groundwater and surface water as a single resource.
Surface water commonly is hydraulically connected to ground water, but the interactions are difficult to observe and measure (Winter, 1998). Interaction depends upon understanding the effect of topography, geology and climate of the groundwater flow system (Toth, 1970). Besides that, biotic factors are also responsible for the interaction (Sophocleous, 2002). Because of the complexity, the study of groundwater and surface water interaction has been studied for more than a century. The study was started using analytical method developed by Boussinesq (1877). Still today, study of groundwater-surface water interaction is the most common topic of research studying stream-aquifer interaction (Winter, 1995). In spite of difficulties observing and measuring the interactions directly, different techniques have been developed understanding the interaction. For example, measurement of hydraulic heads, temperature of water in the aquifer etc.
The study of groundwater-surface water interaction is not limited to methods related to physical properties of aquifer but it is rather extended to chemical and numerical methods and some have even taken a statistical approach to quantify interaction. Statistical methods like Principal Component Analysis (...

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...and additional numerical methods are obtained for numerical model which improves the model result in comparison to the one built with non-site-specific parameters (Unthank, 2013). A numerical groundwater model is built, calibrated and verified with field data. Then, simulation of the model is conducted for different scenarios. Finally, sensitivity analysis is performed to identify most influencing field parameter in these systems.
The study benefits Water Utilities from the region gaining information regarding well and aquifer interaction. Hence, they could defend themselves with a scientific information on flow directions and recharge sources to be able to respond to public inquiries and to react to incidents of presumed contamination. The study results will be helpful identifying potential threats to water security as well as to plan future well-field expansion.

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