https://doi.org/10.25678/000F87

Data and codes for: Non-contact hyperspectral monitoring of urban wastewater quality: Optimization of model calibration and performance

This package contains raw data, preprocessed data, and simulation results for the following manuscript:

Lechevallier, P., Zhu, W., Shi, B., McCarthy, D., Rieckermann, J., 2025. Non-contact hyperspectral monitoring of urban wastewater quality: Optimization of model calibration and performance. Journal of Environmental Management 394, 127217. https://doi.org/10.1016/j.jenvman.2025.127217

This package also includes Python codes for data preprocessing, simulations, and the generation of manuscript figures and tables.

Data and Resources

Citation

This Data Package

Lechevallier, P., Zhu, W., Shi, L., McCarthy, D., & Rieckermann, J. (2025). Data and codes for: Non-contact hyperspectral monitoring of urban wastewater quality: Optimization of model calibration and performance (Version 1.0). Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/000F87

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The associated article

Lechevallier, P., Zhu, W., Shi, B., McCarthy, D., & Rieckermann, J. (2025). Non-contact hyperspectral monitoring of urban wastewater quality: Optimization of model calibration and performance. Journal of Environmental Management, 394, 127217. https://doi.org/10.1016/j.jenvman.2025.127217

RIS BibTeX Citeproc JSON

Metadata

Publication Data Package for:

https://doi.org/10.1016/j.jenvman.2025.127217

Open Data

Author	Lechevallier, Pierre Zhu, Wenchang Shi, Luke McCarthy, David Rieckermann, Jörg
Keywords	Hyperspectral data-cube,Wastewater pollution,Urban drainage systems,Monitoring
Variables	ammonium-nitrogen dissolved_organic_carbon turbidity
Timerange	2023-06-08 TO 2024-08-16
Review Level	none
Curator	Lechevallier, Pierre
Contact	Rieckermann, Joerg <Joerg.Rieckermann@eawag.ch>
DOI	10.25678/000F87