Sustainable water resource management is a crucial national and global issue (Currell et al., 2012). In arid areas,
groundwater is often the major source of water or at least a crucial supplement to other freshwater resources for agriculture,
industry and domestic consumption (Vrba and Renaud, 2016). The complexity associated with groundwater-surface water interactions
creates uncertainty about water resource sustainability in semi-arid environments, especially with urbanization and population
growth. Flood irrigation in the early 1900s increased the shallow groundwater table in the Treasure Valley (TV), but with
increasing irrigation efficiencies, they have been declining since the 1960s with a mean decline rate of about 2.9-3.9x10^-9 (m/s)
(Contor et al., 2011). Quantifying how much surface water is being exchanged with the shallow groundwater table through canals in
the TV is necessary for gaining a better understanding of groundwater-surface water interactions in this heavily managed system.
This knowledge would help evaluate alternative management options for achieving sustainable management of existing water resources.
The key objectives of this project are to determine the seepage rate through some canal reaches in the TV, evaluate the integration
of the gain and loss method, remote sensing, GIS, hydrogeophysical simulation, and direct current (DC) resistivity geophysical
methods for water resource management. We hypothesize that the underlying lithology and size of canals affect the magnitude of
the seepage rate. Flow measurements were collected weekly between July and August 2020 in canal reaches representing different
sizes and lithological units to determine the seepage rate using the reach gain/loss method. Canal variability and measurement
uncertainty were included in seepage estimation for the entire TV using 3 alternative scaling approaches. DC resistivity was used
as a complementary method to monitor the seepage effect on the shallow GW aquifer over 2 months. This research evaluates to what
extent canal size and its underlying lithology affects the seepage rate, and how the integration of methods may provide additional
insight into groundwater exchange-surface water.