半岛
流域
重金属
环境科学
水文学(农业)
地质学
地理
环境化学
考古
地图学
化学
岩土工程
作者
Evgeniy Malygin,Mikhail Lychagin
标识
DOI:10.1051/e3sconf/202016306009
摘要
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.
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