Shaping the concentration of petroleum hydrocarbon pollution in soil: A machine learning and resistivity-based prediction method

Prediction of Total Petroleum Hydrocarbons and Heavy Metals in Acid Tars Using Machine Learning

“…The prediction of soil petroleum hydrocarbon concentration is achieved by machine learning and the resistivity tomography method [36]. Since the field measurement of soil heavy metal content involves significant costs, methods have been developed to estimate soil heavy metals based on remote sensing images and machine learning [37][38][39].…”

“…The lack of data was noted while it was being obtained. I specified that, with the exception of a few works in the literature, the uses of ML algorithms are published separately for soil pH, TPH, and heavy metals [34][35][36][37][38]. We specified that with the exception of a few works in the literature, the uses of the ML algorithm are published separately for soil pH, TPH, and heavy metals.…”