| Issue |
E3S Web Conf.
Volume 163, 2020
IV Vinogradov Conference “Hydrology: from Learning to Worldview” in Memory of Outstanding Russian Hydrologist Yury Vinogradov
|
|
|---|---|---|
| Article Number | 06009 | |
| Number of page(s) | 6 | |
| Section | Methodology of Science and Current Tasks of Hydrological Research | |
| DOI | https://doi.org/10.1051/e3sconf/202016306009 | |
| Published online | 17 April 2020 | |
Machine learning approach for simulation of heavy metal concentration in river water: the Crimean peninsula case study
Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991, Moscow, Russia
* Corresponding author: malygin.ev@gmail.com
This study proposes an approach for simulation of heavy metal concentration in river waters using machine learning techniques. A regression model was built and it captured the relationship between the concentration of heavy metal and metalloids (HMM) and several characteristics of studied catchment. Machine learning techniques allowed to simulate the annual concentration variability of HMM. This approach allows exploring the impact of different factors on studied processes.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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