A Caltech Library Service

Residential emissions predicted as a major source of fine particulate matter in winter over the Yangtze River Delta, China

Wu, Yujie and Wang, Peng and Yu, Shaocai and Wang, Liqiang and Liu, Pengfei and Li, Zhen and Mehmood, Khalid and Liu, Weiping and Wu, Jian and Lichtfouse, Eric and Rosenfeld, Daniel and Seinfeld, John H. (2018) Residential emissions predicted as a major source of fine particulate matter in winter over the Yangtze River Delta, China. Environmental Chemistry Letters, 16 (3). pp. 1117-1127. ISSN 1610-3653.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


Air pollution is an increasingly critical health issue responsible for numerous diseases and deaths worldwide. In China, to address severe air pollution in the Yangtze River Delta region, the local government has formulated Five-Year Plans to set the road map for air pollution control by phased targets in 2020, but the effectiveness of these policies is still uncertain. There is therefore a need for accurate prediction of control strategies. Here we present a computational evaluation of the predicted effectiveness of four emission control strategies: normal or enhanced emission reduction for industry and power plants, and normal or enhanced emission reduction for industry, power plants and transportation, designed on the basis of policies of the 13th Five-Year Plans. Effectiveness was tested on concentrations of PM_(2.5), e.g., particulate matter with aerodynamic diameter less than 2.5 μm, using the two-way coupled Weather Research and Forecasting—Community Multiscale Air Quality (WRF-CMAQ) model. Results show that by implementing the four emission control strategies, only Hangzhou with the strictest emission controls in four main cities (Hangzhou, Hefei, Nanjing and Shanghai) can meet the 20% reduction goals of PM_(2.5) concentrations in the 13th Five-Year Plan, indicating that current policies are not sufficient to control the severe air pollution in the Yangtze River Delta region. Sensitivity tests show that residential emissions have the highest contributions to the PM_(2.5) concentrations in January in the four main cities of Hangzhou, Hefei, Nanjing and Shanghai, followed by agriculture, industry, transportation and power plants. Predicted annual mean reduction percentages for PM2.5 are the highest in Hangzhou, from − 9.7 to − 20.1%, followed by Nanjing, from − 8.2 to − 18.7%, Shanghai, from − 7.4 to − 15.8%, and Hefei, from − 6.1 to − 13.8%. This finding highlights the predominance of residential emissions, which should be better controlled, notably coal burning. By comparison, predicted annual contributions of regional transport and natural sources to mean PM_(2.5) concentrations in four cities range from 29.2 to 36.6%. Overall, a major finding is that residential sources are of comparable importance to industrial, power plant and transportation sources to PM_(2.5) concentrations, especially for winter. This information will help governments of other regions of China, as well as other developing countries, to formulate more appropriate emission control strategies where coal is used for heating and cooking purposes in the developing countries.

Item Type:Article
Related URLs:
URLURL TypeDescription ReadCube access
Yu, Shaocai0000-0001-9718-8246
Liu, Pengfei0000-0002-6714-7387
Liu, Weiping0000-0002-1173-892X
Lichtfouse, Eric0000-0002-8535-8073
Rosenfeld, Daniel0000-0002-0784-7656
Seinfeld, John H.0000-0003-1344-4068
Additional Information:© 2018 Springer International Publishing AG, part of Springer Nature. Received: 6 March 2018; Accepted: 23 March 2018; First Online: 04 April 2018. This work was partially supported by the Department of Science and Technology of China (No. 2016YFC0202702; No. 2014BAC22B06) and National Natural Science Foundation of China (No. 21577126). This work was also supported by the Joint NSFC–ISF Research Program (No. 41561144004), jointly funded by the National Natural Science Foundation of China and the Israel Science Foundation. Part of this work was also supported by the “Zhejiang 1000 Talent Plan” and Research Center for Air Pollution and Health in Zhejiang University.
Funding AgencyGrant Number
Department of Science and Technology (China)2016YFC0202702
Department of Science and Technology (China)2014BAC22B06
National Natural Science Foundation of China21577126
National Natural Science Foundation of China41561144004
Israel Science FoundationUNSPECIFIED
Zhejiang UniversityUNSPECIFIED
Subject Keywords:Emission reductions; WRF-CMAQ; Scenario analysis; Yangtze River Delta
Issue or Number:3
Record Number:CaltechAUTHORS:20180404-104535608
Persistent URL:
Official Citation:Wu, Y., Wang, P., Yu, S. et al. Environ Chem Lett (2018) 16: 1117.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:85595
Deposited By: Tony Diaz
Deposited On:04 Apr 2018 18:07
Last Modified:09 Mar 2020 13:19

Repository Staff Only: item control page