2021
DOI: 10.19080/ijesnr.2021.27.556224
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Machine Learning Approach to Identify the Relationship Between Heavy Metals and Soil Parameters in Salt Marshes

Abstract: Influences from tidal flooding and freshwater inundation from upland watersheds create an environmentally important ecosystem along coastlines, namely salt marshes. Salt marshes have been recognized as effective sinks for organic carbon and heavy metal contaminants. A detailed understanding of the specific binding agents in the soils on the storage of contaminants is investigated herein using two modern machine learning algorithms: extreme gradient boosting (XGboost) and random forest (RF). Results of the curr… Show more

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