Hydrology using Geospatial tools
Three stations, one with a data gap. Produced estimates to fill missing data from a Python Keras method using Jupyter notebooks.
Water isotopes are an excellent tool for tracking and quantifying source waters in the hydrologic cycle.
Here, different sources are identified by their isotopic signatures.
With a historical dataset, an A.I. gap-filling method accurately estimates observations. Can be applied to precipitation, evapotranspiration, or any observation data where you have multiple sources and a need to estimate missing data gaps from anomalies or equipment breakdowns.
Digital Elevation Model used to produce a catchment/drainage network. Aids with runoff load estimations for tributaries flowing to the Tar River.
Lidar Point cloud survey transformed into a merged and re-projected Digital Elevation Model
DEM basemap used to produce a hierarchy of streams from the headwaters (high elevation) to the discharge point.
Terrain analysis using inputs from a digital elevation model and strahler order network for determining runoff behavior.
The Fred Farm includes a 70 acre watershed.
Development within this watershed will significantly alter the streamflow conditions.
NC20210927021051284000 - Little Fishing Creek, near White Oak, NC.
36.18707, -77.87569 - HUC - 03020102
Watershed is 175 sq miles and is located west of the Fall-Line. The land-use distribution is 68% forested, and less than 1% developed as an impervious area.
Streamflow is seasonal, and as a result, has two 7Q10's;
1.4 cfs during the dry season
9.1 cfs during the wet season
Coming Soon
Applying an eddy covariance method to microclimate observations will provide one with direct measurements of CO2 and Evapotranspiration. Such practices will aid in the validation of carbon credits, and the ET measurements will assist in accurate water budget estimations.
Annual Gas Analyzer calibration with CO2 standard.