The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/dbd0c89c-027d-4604-9db0-afb694869b80

Kim, Jongchan (2023): Raw data and analysis codes underlying the dissertation "A Framework for Optimal Reservoir Operation to Improve Downstream Aquatic Environment: Application to Nakdong River Basin in South Korea". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/dbd0c89c-027d-4604-9db0-afb694869b80.v1

Dataset

• Civil Engineering
• Environmental Engineering
• Engineering

Machine learing, Optimization, Reservoir operation, Water quality

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Jongchan Kim

These raw data and analysis codes were produced as parts of a PhD thesis. The research objective is to establish a framework for optimal reservoir operation to reduce the frequency of harmful cyanobacterial blooms downstream and to demonstrate the applicability of the framework using observation data for a study area. The raw data was collected from websites that are open to the public. The sources of raw data have been indicated in the papers published and the thesis.

• 2023-03-21 first online, published, posted

4TU.ResearchData

zip file including csv file (raw data) and ipynb file (Python codes)

TU Delft, Faculty of Civil Engineering and Department of Water Management