Estimating the daily average concentration variations of PCDD/Fs in Taiwan using a novel Geo-AI based ensemble mixed spatial model-Reference-Cited by-同舟云学术

Estimating the daily average concentration variations of PCDD/Fs in Taiwan using a novel Geo-AI based ensemble mixed spatial model

Published:2023-09 Issue: Volume:458 Page:131859
ISSN:0304-3894
Container-title:Journal of Hazardous Materials
language:en
Short-container-title:Journal of Hazardous Materials

Author:

Hsu Chin-Yu,Lin Tien-Wei,Babaan Jennieveive B.,Asri Aji Kusumaning,Wong Pei-Yi,Chi Kai-Hsien^ORCID,Ngo Tuan Hung,Yang Yu-Hsuan,Pan Wen-Chi,Wu Chih-Da^ORCID

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference48 articles.

1. Gas/particle partitioning and particle size distribution of PCDD/Fs and PCBs in urban ambient air;Barbas;Sci Total Environ,2018

2. A systematic review of data mining and machine learning for air pollution epidemiology;Bellinger;Bmc Public Health,2017

3. The PCB pollution of Lake Iseo (N. Italy) and the role of biomagnification in the pelagic food web;Binelli;Chemosphere,2003

4. A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide;Chen;Environ Int,2019

5. Characteristics of particles sampled in southern Taiwan during the Asian dust storm periods in 2000 and 2001;Chen;Atmos Environ,2004

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