Research output per year
Research output per year
Project Details
Description
The PI, Dr. Kun Zhang, works with Marquette University and advise one graduate student assistant (Wasif Bin Mamoon at Mraquette University) to perform dimensionality reduction and data-driven sparse sensing (DSS) on water quality variables to protect stream water quality load across watersheds. The PI also join discussions with the Marquette University team, assist Dr. Anthony Parolari to develop the code of DSS model, run modeling scenarios, and document the modeling results.
| Status | Finished |
|---|---|
| Effective start/end date | 12/7/22 → 12/2/23 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Keywords
- Water quality
- Nutrient
- Data-driven modeling
- Signal processing
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Research output
- 2 Article
-
Reconstruction of Sparse Stream Flow and Concentration Time-Series Through Compressed Sensing
Zhang, K., Bin Mamoon, W., Schwartz, E. & Parolari, A. J., Jan 28 2023, In: Geophysical Research Letters. 50, 2, e2022GL101177.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Streamflow Prediction in Poorly Gauged Watersheds in the United States Through Data-Driven Sparse Sensing
Zhang, K., Luhar, M., Brunner, M. I. & Parolari, A. J., Apr 2023, In: Water Resources Research. 59, 4, e2022WR034092.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations