Using cluster algorithms with a machine learning technique and PMF models to quantify local-specific origins of PM2.5 and associated metals in Taiwan.

MLA

Hsu, Chin-Yu, et al. “Using Cluster Algorithms with a Machine Learning Technique and PMF Models to Quantify Local-Specific Origins of PM2.5 and Associated Metals in Taiwan.” Environmental Pollution, vol. 316, Jan. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.envpol.2022.120652.

APA

Hsu, C.-Y., Soo, J.-C., Lin, S.-L., Wu, C.-D., Chi, K. H., Hsu, W.-C., Tseng, C.-C., & Chen, Y.-C. (2023). Using cluster algorithms with a machine learning technique and PMF models to quantify local-specific origins of PM2.5 and associated metals in Taiwan. Environmental Pollution, 316, N.PAG. https://doi.org/10.1016/j.envpol.2022.120652

Chicago

Hsu, Chin-Yu, Jhy-Charm Soo, Sheng-Lun Lin, Chih-Da Wu, Kai Hsien Chi, Wen-Chang Hsu, Chun-Chieh Tseng, and Yu-Cheng Chen. 2023. “Using Cluster Algorithms with a Machine Learning Technique and PMF Models to Quantify Local-Specific Origins of PM2.5 and Associated Metals in Taiwan.” Environmental Pollution 316 (January): N.PAG. doi:10.1016/j.envpol.2022.120652.