Nicolas Fernandez
University of Florida
| Subject Areas: | Water quality,Water quality and quantity,Chemical transport modeling |
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ABSTRACT:
ChemLotUS contains water quality information in rivers and streams carefully curated and linked to a high resolution stream network. The dataset covers the contiguous United States (CONUS) with nearly 35 million records in about 290,000 sites. 11 water constituents are included so far: Calcium (Ca), Electrical Conductivity (EC), pH, Total Suspended Solids (TSS), Turbidity (Tu), Total Organic Carbon (TOC), Dissolved Oxygen (DO), Chlorophyll a (Chl-a), Nitrate (NO3), Soluble Reactive P (SRP), and Total P (TP). Raw water quality data comes from the Water Quality Portal (WQP - https://www.waterqualitydata.us/), and network information comes from the National Hydrography Dataset High Resolution (NHD-HR - https://www.usgs.gov/national-hydrography/nhdplus-high-resolution).
This repository contains the data, as well as the code developed to obtain it, according to the readme file.
More details about the dataset are explained in the research paper with the same name "ChemLotUS: A Benchmark Dataset of Lotic Chemistry across US River Networks", currently submitted to peer review
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Created: Aug. 12, 2024, 12:52 p.m.
Authors: Fernandez, Nicolas · Cohen, Matthew J. · James W. Jawitz
ABSTRACT:
ChemLotUS contains water quality information in rivers and streams carefully curated and linked to a high resolution stream network. The dataset covers the contiguous United States (CONUS) with nearly 35 million records in about 290,000 sites. 11 water constituents are included so far: Calcium (Ca), Electrical Conductivity (EC), pH, Total Suspended Solids (TSS), Turbidity (Tu), Total Organic Carbon (TOC), Dissolved Oxygen (DO), Chlorophyll a (Chl-a), Nitrate (NO3), Soluble Reactive P (SRP), and Total P (TP). Raw water quality data comes from the Water Quality Portal (WQP - https://www.waterqualitydata.us/), and network information comes from the National Hydrography Dataset High Resolution (NHD-HR - https://www.usgs.gov/national-hydrography/nhdplus-high-resolution).
This repository contains the data, as well as the code developed to obtain it, according to the readme file.
More details about the dataset are explained in the research paper with the same name "ChemLotUS: A Benchmark Dataset of Lotic Chemistry across US River Networks", currently submitted to peer review