A GIS approach to understanding groundwater – surface water interactions in the Logan River and Red Butte Creek, Utah Trinity Stout CEE 6440.

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Presentation transcript:

A GIS approach to understanding groundwater – surface water interactions in the Logan River and Red Butte Creek, Utah Trinity Stout CEE 6440

Introduction Groundwater-Surface Water (GW-SW) interactions significantly vary temporally and spatially The majority of GW research focuses on basin-fill aquifers, with little attention given to mountain regions Estimating recharge to aquifers includes a variety of methods, all of which require instrumentation and relatively extensive data collection

Introduction Cherkauer and Ansari (2005) developed a method to estimate groundwater recharge based on readily available GIS data They developed a relationship between precipitation, aquifer recharge, and surface characteristics Assumptions: – Baseflow records can be used as estimate of aquifer recharge – Surface and groundwater drainage basin boundaries coincide – Uniform precipitation across the watershed – Heterogeneity in soil, geology, and precipitation

Objectives 1)How do GW-SW interactions vary temporally and spatially on Red Butte Creek and Logan River? 2)What surface characteristics are most correlated with increased GW-SW interactions? 3)How do earlier methods of using surface characteristics to estimate groundwater recharge compare when applied in karst watersheds? 4)What can be done to improve the applicability of the method so it better represents our watersheds of interest?

Site Description Some terms: iUTAH: innovative Urban Transitions and Aridregion Hydro-sustainability GAMUT: Gradient Along Mountain to Urban Transitions Intermediate sites to measure temporal and spatial variability in GW-SW interactions Nested watersheds delineated at each differential gaging site

Site Description Logan RiverRed Butte Creek

Methods 1)Develop shapefiles to represent differential gaging sites and determine gain and loss areas. 2)Obtain surface datasets including: geology, soil, hydrogeology, land cover, topography, precipitation. 3)Delineate nested watersheds from each gaging site. Return statistics for each coverage. 4)Perform a hydrograph baseflow separation for USGS and GAMUT flow data as an estimate of GW recharge to compare to Cherkauer and Ansari’s method. 5)Automate portions of the project with Python (piece of cake, right?)

Results – Objective 1

Results – Objective 2 Needed Python script to delineate multiple watersheds Watershed tool in Hydro ArcGIS server Wanted to be able to alter drainage density – Developed code – Time sink…

Results – Objective 2 Develop file geodatabase of layers from Landscape and Elevation GIS servers Zonal statistics by nested watershed – Write to csv There is a hole in the surface data right over Logan Canyon…

Results – Objective 3 Baseflow and Precipitation data from 1981 – 2014 The USGS gaging station on the Logan River does not represent baseflow… Highline Canal Diversion – irrigation Dewitt Springs – drinking water

A GIS approach to understanding groundwater – surface water interactions in the Logan River and Red Butte Creek, Utah Trinity Stout CEE 6440

Results (Current work) – Objective 3 Use the summary of surface characteristics and the average R/P to check the applicability of Cherkauer and Ansari’s method

Future work – Objective 4 What can be done to improve the applicability of the method so it better represents our watersheds of interest? – Macropores and fracture flow dominate hydrology in Logan canyon – Include data regarding sinks, faults, springs?

Questions?