Published October 25, 2019
| Version 2
Dataset
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A Tool for Uncertainty Quantification in Reconstructing Sparse Water Quality Time Series Data to Assess Risk Metrics for Watershed Health and TMDL Analysis
Authors/Creators
- 1. Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, USA
- 2. 2 Center for Environmental Solutions and Emergency Response, U.S.U.S. EPA National Risk Management Research Laboratory, Cincinnati, OH, USA
Description
The uploaded file contains the input and output data which can be used to reproduce the results in the research article 'Uncertainty Quantification in Reconstruction of Sparse Water Quality Time Series: Implications for Watershed Health and Risk-Based TMDL Assessment'. Please refer to the file 'dst_2019_SJRW_TP_TDS.zip' for updated files..
Files
data_to_be_uploaded.zip
Files
(21.2 MB)
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