Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Mobile Sensing Platform Data for Dissolved Organic Matter Study in the Northwest Field Canal in Logan, UT
Authors: |
|
|
---|---|---|
Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
Type: | Resource | |
Storage: | The size of this resource is 8.2 MB | |
Created: | Oct 18, 2017 at 10:10 p.m. | |
Last updated: | Oct 27, 2017 at 9:12 p.m. (Metadata update) | |
Published date: | Oct 27, 2017 at 9:12 p.m. | |
DOI: | 10.4211/hs.6711ca843bcc4834b51288a3ddc3aa08 | |
Citation: | See how to cite this resource | |
Content types: | Single File Content |
Sharing Status: | Published |
---|---|
Views: | 2786 |
Downloads: | 95 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
Abstract
This dataset includes data collected using a mobile sensing platform during baseflow and stormflow conditions in the Northwest Field Canal, located in Logan, UT. Data were collected by floating a payload of sensors in a longitudinal transect down the length of the canal and recording latitude, longitude, and several water quality variables, including fluorescent dissolved organic matter (FDOM), observations from custom fluorometers designed for calculating the fluorescence index (FI), dissolved oxygen, temperature, pH, specific conductance, and turbidity. The methods used in collection and processing of these data are described in detail in the methods document included within this resource.
Subject Keywords
Coverage
Spatial
Temporal
Start Date: | |
---|---|
End Date: |
Content
readme.txt
Description: Data from and related to the mobile sensing platform using in the Northwest Field Canal is provided in the form of a zip file. In order to access the contents, you must download and unzip the file on your computer. ########################################## Mobile Sensing Platform Data Folder Tree >Finalized_Data >Supplemental_Data >Data_Correction (Matlab Scripts for corrections and intermediary data) >>Run160628 >>Run160713 >>Run160824 >>Run160913 >>>Run1 >>>Run2 >>Run160914 >>Run160921 >>>Run1 >>>Run2 >>Run160923 >Raw_Data >>Run160628 >>Run160713 >>Run160824 >>Run160913 >>>Run1 >>>Run2 >>Run160914 >>Run160921 >>>Run1 >>>Run2 >>Run160923 ###################################### Root Level Folder Content Descriptions Finalized_Data - This folder contains data files for fully corrected mobile sensing platform runs. Data files in this folder are from the mobile sensing platform and have been fully quality controlled. This includes removal of data from before the run began and after the run ended (QC1), removal of data where the boat was out of water or in low water, affecting all sensors (QC2), conversion of Lat/Lon data to easting/northing UTM (QC2.5), calculated boat distances along the centerline of the canal (QC3), fast and slow data tables combined and turbidity data interpolated (QC3.5), temperature and turbidity correction of FDOM, CDOM, fEM470 and fEM520 sensor values (QC4), and lastly, erroneous data values specific to individual sensors (C6, YSI, turbidity) changed to NaN (QC5). NaN values represent data that were removed during the quality control of the mobile platform data. Use this data for future analyses. NWFC_MobilePlatform_Methods.docx - This document provides supplementary info for the methods used in operating the mobile sensing platform. Supplemental_Data - This folder contains raw mobile platform data and supporting files that were used to quality control the data. See the readme.txt file in the root level of the Supplemental_Data folder for supporting documentation. This data should not need to be used for future analyses, it is recommended that the finalized data provided be used. ###################################### BoatData_YYMMDD Variables, Units, and Methods description (comma-delimited) # Variable,UnitsAbbreviation,Method # TIMESTAMP,UTC-7,No method specified # RECORD, unitless,No method specified # Batt_Volt, V,Battery voltage measured by a Campbell Scientific datalogger. # PTemp, c,Panel temperature measured by a Campbell Scientific datalogger. # Gar_Latitude, UTM northing,"UTM coordinates calculated from the measured latitude position at the beginning of observation time measured using a Garmin GPS 16X-HVS GPS Receiver in degrees, minutes, thousandths of minutes (ddmm.mmmm)" # Gar_Longitude, UTM easting,"UTM coordinates calculated from the measured longitude position at the beginning of observation time measured using a Garmin GPS 16X-HVS GPS Receiver in degrees, minutes, thousandths of minutes (ddmm.mmmm)" # Gar_Altitude, m,Elevation measured using a Garmin GPS 16X-HVS GPS Receiver # Gar_Speed, m/s,Speed over ground measured using a Garmin GPS 16X-HVS GPS Receiver # Gar_Course, degrees,Course over ground measured using a Garmin GPS 16X-HVS GPS Receiver # Gar_NumSatellites, unitless,Number of satellites used for GPS fix measured using a Garmin GPS 16X-HVS GPS Receiver # Gar_GPSQuality, unitless,"GPS fix quality measured using a Garmin GPS 16X-HVS GPS Receiver: 0 = invalid, 1 = GPS, 2 = differential GPS, 6 = estimated" # C6_CDOM_tt, QSU,Temperature and turbidity corrected colored dissolved organic matter measured using a Turner Cyclops-7 CDOM sensor on a C6 Multi-Sensor Platform. Measured in quinine sulfate equivalents (QSU). Correction follows the method presented in Lee et al. (2015): FDOM_corr = [FDOM_meas/[1-0.017(Temp_meas-Temp_ref)]]/(0.82*exp(-0.005*Turb_meas)+0.18) # C6_fEM470_tt, RFUB,Temperature and turbidity corrected fluorescent dissolved organic matter measured using a Turner Cyclops-7 custom fluorometer (EX 380/EM 470 with +-20 bandpass) on a C6 Multi-Sensor Platform. Measured in blank subtracted relative fluorescence units (RFUB). Correction follows the method presented in Lee et al. (2015): FDOM_corr = [FDOM_meas/[1-0.017(Temp_meas-Temp_ref)]]/(0.82*exp(-0.005*Turb_meas)+0.18) # C6_fEM520_tt, RFUB,Temperature and turbidity corrected fluorescent dissolved organic matter measured using a Turner Cyclops-7 custom fluorometer (EX 380/EM 520 with +-20 bandpass) on a C6 Multi-Sensor Platform. Measured in blank subtracted relative flouresence units (RFUB). Correction follows the method presented in Lee et al. (2015): FDOM_corr = [FDOM_meas/[1-0.017(Temp_meas-Temp_ref)]]/(0.82*exp(-0.005*Turb_meas)+0.18) # C6_Depth, m,Water depth measured using a Turner C6 Multi-Sensor Platform. # C6_Temp, c,Water temperature measured using a Turner C6 Multi-Sensor Platform. # EXO_Temp, c,Water temperature measured using a YSI EXO multi-parameter water quality sonde. # EXO_SpCond, uS/cm,Specific conductance measured using a YSI EXO multi-parameter water quality sonde. # EXO_pH, unitless,pH measured using a YSI EXO multi-parameter water quality sonde. # EXO_ODOSat,%,Dissolved oxygen measured optically using a YSI EXO multi-parameter water quality sonde. Corrected with temperature and local barometric pressure at the time of calibration. # EXO_ODOLocal, %,Dissolved oxygen measured optically using a YSI EXO multi-parameter water quality sonde. Percent saturation output fixed to 100% regardless of barometric pressure. # EXO_ODO, mg/L,Dissolved oxygen concentration measured optically using a YSI EXO multi-parameter water quality sonde. # EXO_fDOM_tt, QSU,Temperature and turbidity corrected fluorescent dissolved organic matter measured using a YSI EXO multi-parameter water quality sonde. Measured in quinine sulfate equivalents (QSU). Correction follows the method presented in Lee et al. (2015): FDOM_corr = [FDOM_meas/[1-0.017(Temp_meas-Temp_ref)]]/(0.82*exp(-0.005*Turb_meas)+0.18) # Turb_Mean, NTU,Turbidity measured using a Forest Technology Systems DTS-12 turbidity sensor. Measured in nephelometric turbidity units (NTU). Average of a burst sample of 100 measurements over 5 seconds. # Turb_Variance, NTU,Turbidity measured using a Forest Technology Systems DTS-12 turbidity sensor. Measured in nephelometric turbidity units (NTU). Variance of a burst sample of 100 measurements over 5 seconds. # Turb_Median, NTU,Turbidity measured using a Forest Technology Systems DTS-12 turbidity sensor. Measured in nephelometric turbidity units (NTU). Median of a burst sample of 100 measurements over 5 seconds. # Turb_BES, NTU,Turbidity measured using a Forest Technology Systems DTS-12 turbidity sensor. Measured in nephelometric turbidity units (NTU). Best Easy Systematic Estimator of a burst sample of 100 measurements over 5 seconds. # Turb_Min, NTU,Turbidity measured using a Forest Technology Systems DTS-12 turbidity sensor. Measured in nephelometric turbidity units (NTU). Minimum of a burst sample of 100 measurements over 5 seconds. # Turb_Max, NTU,Turbidity measured using a Forest Technology Systems DTS-12 turbidity sensor. Measured in nephelometric turbidity units (NTU). Maximum of a burst sample of 100 measurements over 5 seconds. # Turb_Temperature, c,Water temperature measured using a Forest Technology Systems DTS-12 turbidity sensor. Average of a burst sample of 100 measurements over 5 seconds. # distance, m,Calculated distance traveled in total from the point of reference # x_loc, UTM easting,"UTM coordinates calculated from the measured longitude position at the beginning of observation time measured using a Garmin GPS 16X-HVS GPS Receiver in degrees, minutes, thousandths of minutes (ddmm.mmmm)" # y_loc, UTM northing,"UTM coordinates calculated from the measured latitude position at the beginning of observation time measured using a Garmin GPS 16X-HVS GPS Receiver in degrees, minutes, thousandths of minutes (ddmm.mmmm)"
Related Resources
This resource is referenced by | Mihalevich, B. A., Horsburgh, J. S., Melcher, A. A. (2017). High-frequency measurements reveal spatial and temporal patterns of dissolved organic matter in an urban water conveyance, Environmental Monitoring and Assessment, http://dx.doi.org/10.1007/s10661-017-6310-y |
This resource is referenced by | Mihalevich, B. A. (2017). Resolving Spatial and Temporal Variability in Dissolved Organic Matter Characteristics within Combined Agricultural and Stormwater Conveyances, Digital Commons at USU, All Graduate Theses and Dissertations, 6264. https://digitalcommons.usu.edu/etd/6264 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
---|---|---|
Utah Water Research Laboratory | ||
National Science Foundation | iUTAH-innovative Urban Transitions and Aridregion Hydro-sustainability | 1208732 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
Name | Organization | Address | Phone | Author Identifiers |
---|---|---|---|---|
Tyler King | Utah State University | 8200 Old Main Hill, Logan, UT 84322-8200 | ||
Anthony A. Melcher | Utah State University | 8200 Old Main Hill, Logan, Utah 84322-8200 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment