An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution-Reference-Cited by-同舟云学术

An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution

Published:2019-09 Issue: Volume:130 Page:104909
ISSN:0160-4120
Container-title:Environment International
language:en
Short-container-title:Environment International

Author:

Di Qian^ORCID,Amini Heresh^ORCID,Shi Liuhua,Kloog Itai,Silvern Rachel,Kelly James,Sabath M. Benjamin,Choirat Christine,Koutrakis Petros,Lyapustin Alexei,Wang Yujie,Mickley Loretta J.,Schwartz Joel

Funder

U.S. EPA

HEI

Publisher

Elsevier BV

Subject

General Environmental Science

Reference80 articles.

1. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1;Appel;Geosci. Model Dev.,2017

2. A geographically and temporally weighted regression model for ground-level PM2. 5 estimation from satellite-derived 500 m resolution AOD;Bai;Remote Sens.,2016

3. Estimating urban PM10 and PM2. 5 concentrations, based on synergistic MERIS/AATSR aerosol observations, land cover and morphology data;Beloconi;Remote Sens. Environ.,2016

4. Spectral absorption properties of atmospheric aerosols;Bergstrom;Atmos. Chem. Phys.,2007

5. Global modeling of tropospheric chemistry with assimilated meteorology: model description and evaluation;Bey;J. Geophys. Res.,2001

Cited by 417 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A hybrid approach for integrating micro-satellite images and sensors network-based ground measurements using deep learning for high-resolution prediction of fine particulate matter (PM2.5) over an indian city, lucknow;Atmospheric Environment;2024-12

2. Enhanced urban PM2.5 prediction: Applying quadtree division and time-series transformer with WRF-chem;Atmospheric Environment;2024-11

3. Long-term spatiotemporal variation of benzo[a]pyrene in Japan: Significant decrease in ambient concentrations, human exposure, and health risk;Environmental Pollution;2024-11

4. Hyper-local black carbon prediction by integrating land use variables with explainable machine learning model;Atmospheric Environment;2024-11

5. A hybrid PM2.5 interval concentration prediction framework based on multi-factor interval decomposition reconstruction strategy and attention mechanism;Atmospheric Environment;2024-10