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Data for "Reconstruction of sparse stream flow and concentration time-series through compressed sensing"


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Type: Resource
Storage: The size of this resource is 8.5 MB
Created: Sep 12, 2022 at 1:55 p.m.
Last updated: Dec 05, 2022 at 7:36 p.m.
DOI: 10.4211/hs.a70e86faebe448128ecb0e208626ba4d
Citation: See how to cite this resource
Sharing Status: Published
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Abstract

This archive includes data used in Zhang et al.'s GRL paper "Reconstruction of sparse stream flow and concentration time-series through compressed sensing", which is under review currently. There are two directories that contain 1) daily-scale streamflow and water quality data in multiple gages during 2015-2021, and 2) 15-min-scale stream flow and water quality data in one gage during 2015-2021. The variables include streamflow, temperature, specific conductance, turbidity, dissolved oxygen, nitrate concentration, and phosphorous concentration. The number of gages for different variables varies in the daily-scale data. All the data was retrieved from the USGS National Water Information System (https://waterdata.usgs.gov/nwis).

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
44.6905°
East Longitude
-83.6291°
South Latitude
37.5516°
West Longitude
-95.8459°

Temporal

Start Date:
End Date:

Content

readme.txt

This archive contains two directories:

1) Daily-scale data:
This directory includes daily-scale raw streamflow and water quality data for in total 45 USGS gages, most of which are located in the Midwest. The number of gages varies between different variables.

2) 15-min Data:
This directory includes 15-min raw streamflow and water quality data for one USGS gage, most of which are located in the Midwest.

There are 5 variables in the data file:
A) data  (7x1 cell array): Raw data. Each cell includes data matrix for one variable; different columns represent different gages
B) date  (7x1 cell array): Datetime. Each cell includes data matrix for one variable; different columns represent different gages
C) gages (7x1 cell array): USGS gage ID
D) nstep (7x1 cell array): Number of time steps for each time-series
E) vars  (7x1 cell array): Name of the variables

Units:
A) Streamflow (Q): mm/d
B) Temperature (Temp): Celcius degree
C) Specific Conductance (SC): µS/cm at 25 °C
D) Turbidity (Turb): FNU
E) Dissolved Oxygen (DO): mg/L
F) Nitrate+Nitrite as Nitrogen (NOx-N): mg/L
G) Total Phosphorus (TP): mg/L

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Army Corps of Engineers (USACE) Engineer Research and Development Center (ERDC) Novel Technologies to Mitigate Water Contamination for Resilient Infrastructure W9132T2220001

How to Cite

Zhang, K., E. Schwartz, W. B. Mamoon, A. Parolari (2022). Data for "Reconstruction of sparse stream flow and concentration time-series through compressed sensing", HydroShare, https://doi.org/10.4211/hs.a70e86faebe448128ecb0e208626ba4d

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