356 results — topic: Groundwater
2016 Floodplain Geochemistry from the East River Watershed, Colorado
This dataset includes groundwater geochemistry data from floodplain piezometers collected as a part of the Watershed Function Scientific Focus Area (SFA) located in the Upper Colorado River Basin. The data were collected in order to investigate the role of hyporheic exchange and other river corridor
Water Level Data from Wells PLM1 and PLM6 for the East River Watershed, Colorado
This dataset (Williams et al., 2020) contains the original un-QA/QC-ed water level data for PLM1 and PLM6 and has been obsoleted. The data contained within this dataset is not to be used. Refer to Faybishenko et al., 2022 (DOI: 10.15485/1866836) for the latest QA/QC-ed data available via ESS-DIVE.Th
Water Level Data from Wells PLM1 and PLM6 for the East River Watershed, Colorado
This dataset (Williams et al., 2020) contains the original un-QA/QC-ed water level data for PLM1 and PLM6 and has been obsoleted. The data contained within this dataset is not to be used. Refer to Faybishenko et al., 2022 (DOI: 10.15485/1866836) for the latest QA/QC-ed data available via ESS-DIVE.Th
Water Level Data from Wells PLM1 and PLM6 for the East River Watershed, Colorado
This dataset (Williams et al., 2020) contains the original un-QA/QC-ed water level data for PLM1 and PLM6 and has been obsoleted. The data contained within this dataset is not to be used. Refer to Faybishenko et al., 2022 (DOI: 10.15485/1866836) for the latest QA/QC-ed data available via ESS-DIVE.Th
Water Level Data from Wells PLM1 and PLM6 for the East River Watershed, Colorado
This dataset (Williams et al., 2020) contains the original un-QA/QC-ed water level data for PLM1 and PLM6 and has been obsoleted. The data contained within this dataset is not to be used. Refer to Faybishenko et al., 2022 (DOI: 10.15485/1866836) for the latest QA/QC-ed data available via ESS-DIVE.Th
Water Level Data from Wells PLM1 and PLM6 for the East River Watershed, Colorado
This dataset (Williams et al., 2020) contains the original un-QA/QC-ed water level data for PLM1 and PLM6 and has been obsoleted. The data contained within this dataset is not to be used. Refer to Faybishenko et al., 2022 (DOI: 10.15485/1866836) for the latest QA/QC-ed data available via ESS-DIVE.Th
Water Level Data from Wells PLM1 and PLM6 for the East River Watershed, Colorado
This dataset (Williams et al., 2020) contains the original un-QA/QC-ed water level data for PLM1 and PLM6 and has been obsoleted. The data contained within this dataset is not to be used. Refer to Faybishenko et al., 2022 (DOI: 10.15485/1866836) for the latest QA/QC-ed data available via ESS-DIVE.Th
Total metals, carbon, nitrogen & anion concentration data; Slate River & East River floodplains, Crested Butte, CO; May 2022-October 2022
This data package includes processed and undiluted measurements for metal, total carbon, total nitrogen, and anion concentrations from pore water (groundwater) and surface water samples from the Slate River and East River floodplains of Crested Butte, CO, focus field sites for the SLAC Floodplain Hy
Dissolved Oxygen and Temperature Data from the Hyporheic Zone of the East River Watershed July 2017 to October 2018
Dissolved oxygen (DO) is critical for aquatic ecosystems. Our focus is on the long-term DO dynamics in hyporheic zone of rivers, which are a function of both transport (hydrologic exchange between river and hyporheic zone) and uptake by biogeochemical reactions or respiration. The study site is the
Radon Isotopes and Stable Water Isotopes from Coal Creek Watershed, Colorado (2021)
The radon isotope and stable water isotope data for Coal Creek Watershed, Colorado, consists of d2H, d18O, and 222Rn values from samples collected at 8 stream location along Coal Creek, samples from 7 groundwater springs within the watershed, and precipitation isotope samples collected by Next Gener
Snowpack Proportional Reduction in Early Season Growing Degree Days (2002-2021)
This is a map of the influence of snow on the energy available for plant growth (growing degree days, GDD) in spring and early summer for the Upper Gunnison domain, derived from daily maximum temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derive
Snowpack Proportional Reduction in Early Season Freezing Degree Days (2002-2021)
This is a map of the influence of spring snow on early season freezing potential (snow-free freezing degree days, SFFDD) for the Upper Gunnison domain, derived from daily minimum temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates o
Snow-free Growing Degree-days Early Season Standard Deviation (2002-2021)
This is a map of temporal variability in accumulated spring snow-free growing potential (snow-free growing degree days, SFGDD) for the Upper Gunnison domain, derived from daily maximum air temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived e
Snow-free Growing Degree-days Early Season Mean (2002-2021)
This is a map of accumulated spring snow-free growing potential (snow-free growing degree days, SFGDD) for the Upper Gunnison domain, derived from daily maximum air temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived estimates of the timing o
Snow-free Freezing Degree-days Early Season Standard Deviation (2002-2021)
This is a map of temporal variability in accumulated spring snow-free growing potential (snow-free growing degree days, SFGDD) for the Upper Gunnison domain, derived from daily maximum air temperature maps interpolated from weather station and microclimate sensor data combined with Landsat-derived e
Imputation of contiguous gaps and extremes of subhourly groundwater time series using random forests
Machine learning can provide sustainable solutions to gap-fill groundwater (GW) data needed to adequately constrain watershed models. However, imputing missing extremes is more challenging than other parts of a hydrograph. To impute missing subhourly data, including extremes, within GW time-series d
Profiting from the Peak: Landscape and Liberty in Colorado Springs
Events and socioeconomic conditions that formed Colorado Springs and analyzing the built landscape and spatial layout, focusing on historic architecture. Examines the cultural values that define the city, showing how military and political and economic institutions, cultural movements, individuals,
Direct Observation of the Depth of Active Groundwater Circulation in an Alpine Watershed
AbstractThe depth of active groundwater circulation is a fundamental control on stream flows and chemistry in mountain watersheds, yet it remains challenging to characterize and is rarely well constrained. We collected hydraulic conductivity, hydraulic head, temperature, chemical, noble gas, and 3H/
The High Cost of Free Water
Ernie Niemi and Ed Whitelaw. Oregon Quarterly. Spring 2003.
Spring Environmental Symposium "Healthy Forests and Healthy Ecomomics: Finding the Balance"
“Healthy Forests and Healthy Economies: Finding the Balance" Schedule of Events Monday Evening, April 21, Kebler Room, College Union 6:30 7:00 7:20 Dessert, Coffee & Conversation Poetry from the Forest — Art Goodtimes, Poet and San Miguel County Commissioner, Norwood What is a Healthy Forest? — Some
