Spatial characteristics and determinants of in-traffic black carbon in Shanghai, China: Combination of mobile monitoring and land use regression model-Reference-Cited by-同舟云学术

Spatial characteristics and determinants of in-traffic black carbon in Shanghai, China: Combination of mobile monitoring and land use regression model

Published:2019-03 Issue: Volume:658 Page:51-61
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Liu Min^ORCID,Peng Xia,Meng Ziqi,Zhou Taoye,Long Lingbo,She Qiannan

Funder

National Key Research and Development Program

Natural Science Foundation of Shanghai

Shanghai Technology innovation action plan of Yangtze River Delta joint research projects

National Natural Science Foundation of China

Fuzhou University

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference67 articles.

1. Concentrations of fine, ultrafine, and black carbon particles in auto-rickshaws in New Delhi, India;Apte;Atmos. Environ.,2011

2. Impact of California's air pollution laws on black carbon and their implications for direct radiative forcing;Bahadur;Atmos. Environ.,2011

3. Measurement and analysis of black carbon aerosols over a tropical semi-arid station in Kadapa, India;Begam;Atmos. Res.,2016

4. Climate change: black carbon and atmospheric feedbacks;Booth;Nature,2015

5. The atmospheric lifetime of black carbon;Cape;Atmos. Environ.,2012

Cited by 40 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. Local contribution of road traffic and residential biomass burning to black carbon aerosols – Modelling and validation;Atmospheric Environment;2024-11

2. High-resolution spatial and spatiotemporal modelling of air pollution using fixed site and mobile monitoring in a Canadian city;Environmental Pollution;2024-09

3. A Potential Inhalation Risk to Daily Commuter: Mobile Monitoring of Black Carbon during Journey in Traffic Emissions;Water, Air, & Soil Pollution;2024-06-26

4. Estimating Black Carbon Levels With Proxy Variables and Low-Cost Sensors;IEEE Internet of Things Journal;2024-05-15

5. Development of land use regression models to characterise spatial patterns of particulate matter and ozone in urban areas of Lanzhou;Urban Climate;2024-05