New RI-URBANS Study Develops AI-Powered Tool to Improve PM10 Source Apportionment in Cities

Air pollution and risk Parkinson's, study reveals role Pm10

New RI-URBANS Study Develops AI-Powered Tool to Improve PM10 Source Apportionment in Cities

A team of researchers from Beijing Technology and Business University (BTBU) and the Institute of Environmental Assessment and Water Research (IDAEA-CSIC), in collaboration with European partners, has unveiled LPO-XGBoost—a cutting-edge machine learning model designed to enhance the identification of PM10 pollution sources in urban environments. By integrating traditional Positive Matrix Factorization (PMF) with a nonlinear XGBoost algorithm, th…