Wenyuan Chang

Institute of Atmospheric Physics

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Hong Liao

Nanjing University of Information Science and Technology

Zhengqiang Li

Aerospace Information Research Institute

Jianqiong Zhan

Stony Brook University

Ying Zhang

Chinese Academy of Sciences

Jinyuan Xin

Chinese Academy of Sciences

Kaitao Li

Anhui University

Jiandong Li

Chinese Center For Disease Control and Prevention

Yan Yin

Fujian Agriculture and Forestry University

Gerrit de Leeuw

Royal Netherlands Meteorological Institute

James J. Schauer

University of Wisconsin–Madison

Cooperative Institutions

Chinese Academy of Sciences

Institute of Atmospheric Physics

University of Chinese Academy of Sciences

Nanjing University of Information Science and Technology

Aerospace Information Research Institute

China Meteorological Administration

State Key Laboratory of Remote Sensing Science

Ministry of Natural Resources

Pennsylvania State University

Columbia University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Satellite Observations of PM2.5 Changes and Driving Factors Based Forecasting Over China 2000–2025

Remote Sensing (2020)

Ying Zhang Zhengqiang Li Wenyuan Chang Yuanxun Zhang Gerrit de Leeuw

In China, atmospheric fine particulate matter (PM2.5) pollution is a challenging environmental problem. Systematic PM2.5 measurements have started only in 2013, resulting in a lack of historical data which is a key obstacle for the analysis of long-term PM2.5 trends and forecasting the evolution over this hot region. Satellite data can provide a new approach to derive historical PM2.5 information provided that the column-integrated aerosol properties can adequately be converted to PM2.5. In this study, a recently developed formulation for the calculation of surface PM2.5 concentrations using satellite data is introduced and applied to reconstruct a PM2.5 time series over China from 2000 to 2015. The formulated model is also used to explore the PM2.5 driving factors related to anthropogenic or meteorological parameters in this historical period. The results show that the annually averaged PM2.5 over China’s polluted regions increased rapidly between 2004 and 2007 (with an average rate of 3.07 μg m−3 yr−1) to reach values of up to 61.1 μg m−3 in 2007, and decreased from 2011 to 2015 with an average rate of −2.61 μg m−3 yr−1, to reach a value of 46.9 μg m−3 in 2015. The analysis shows that the increase in PM2.5 before 2008 was mainly associated with increasing anthropogenic factors, further augmented by the effect of meteorological influences. However, the decrease in PM2.5 after 2011 is mainly attributed to the effect of pollution control measures on anthropogenic factors, whereas the effects of meteorological factors have continued to increase since 2000. The results also suggest that further reduction in anthropogenic emissions is needed to accelerate the decrease in PM2.5 concentrations to reach the target of 35 μg m−3 over major polluted areas in China before 2025.

10.3390/rs12162518

Cite

Citations (15)

Aerosol solar radiative forcing near the Taklimakan Desert based on radiative transfer and regional meteorological simulations during the Dust Aerosol Observation-Kashi campaign

Atmospheric chemistry and physics (2020)

Li Li Zhengqiang Li Wenyuan Chang Yang Ou Philippe Goloub

Abstract. The Taklimakan Desert is a main and continuous source of Asian dust particles causing significant direct radiative effects, which are commonly quantified by the aerosol solar radiative forcing (ASRF). To improve the accuracy of estimates of dust ASRF, the Dust Aerosol Observation-Kashi (DAO-K) campaign was carried out near the Taklimakan Desert in April 2019. The objective of the DAO-K campaign is to provide crucial parameters needed for the calculation of ASRF, such as dust optical and microphysical properties, vertical distribution, and surface albedo. The ASRF was calculated using radiative transfer (RT) simulations based on the observed aerosol parameters, additionally considering the measured atmospheric profiles and diurnal variations of surface albedo. As a result, daily average values of ASRF of −19 W m−2 at the top of the atmosphere and −36 W m−2 at the bottom of the atmosphere were derived from the simulations conducted during the DAO-K campaign. Furthermore, the Weather Research and Forecasting model with Chemistry (WRF-Chem), with assimilation of measurements of the aerosol optical depth and particulate matter (PM) mass concentrations of particles with aerodynamic diameter smaller than 2.5 µm (PM2.5) and 10 µm (PM10), is employed to estimate the dust ASRF for comparison. The results of the ASRF simulations (RT and WRF-Chem) were evaluated using ground-based downward solar irradiance measurements, which have confirmed that the RT simulations are in good agreement with simultaneous observations, whereas the WRF-Chem estimations reveal obvious discrepancies with the solar irradiance measurements.

Albedo (alchemy)

Angstrom exponent

Single-scattering albedo

10.5194/acp-20-10845-2020

Cite

Citations (24)

Climatic effects of air pollutants over china: A review

Advances in Atmospheric Sciences (2014)

Hong Liao Wenyuan Chang Yang Yang

Tropospheric ozone

Forcing (mathematics)

10.1007/s00376-014-0013-x

Cite

Citations (112)

Air quality in China from 1850 to 2050 simulated using the IPCC AR5 emissions inventories

AGU Fall Meeting Abstracts (2011)

Wenyuan Chang Hao Liao

Source

Cite

Citations (0)

Climate responses to direct radiative forcing of anthropogenic aerosols, tropospheric ozone, and long-lived greenhouse gases in eastern China over 1951–2000

Advances in Atmospheric Sciences (2009)

Wenyuan Chang Hong Liao Huijun Wang

Tropospheric ozone

10.1007/s00376-009-9032-4

Cite

Citations (44)

Impacts of Meteorological Conditions, Aerosol Radiative Feedbacks, and Emission Reduction Scenarios on the Coastal Haze Episodes in Southeastern China in December 2013

Journal of Applied Meteorology and Climatology (2017)

Jianqiong Zhan Wenyuan Chang Wei Li Yanming Wang Liqi Chen

Abstract Fujian Province in southeastern coastal China is a relatively clean region with low emissions, as its high altitude isolates it from the rest of the country. However, the region experienced haze episodes on 3–14 December 2013. The authors performed simulations using the Weather Research and Forecasting Model coupled with chemistry (WRF-Chem) to examine the impacts of meteorological conditions, aerosol radiative feedbacks (ARFs; including aerosol direct and nearly first indirect effect), and internal and external emissions reduction scenarios on particulate matter smaller than 2.5 μm (PM 2.5 ) concentrations. To the best of the authors’ knowledge, this is the first time the WRF-Chem model has been used to study air quality in this region. The model reasonably reproduced the meteorological conditions and PM 2.5 concentrations. The analysis demonstrated that the highest-PM 2.5 event was associated with a cold surge that promoted the impingement of northern pollutants on the region, and PM 2.5 concentrations were sensitive to the emissions from the Yangtze River delta (16.6%) and the North China Plain (12.1%). This suggests that efforts toward coastal air quality improvement require regional cooperation to reduce emissions. Noticeably, ARFs were unlikely to increase PM 2.5 concentrations in the coastal region, which was in contrast to the case in northern China. ARFs induced strong clean wind anomalies in the coastal region and also lowered the inland planetary boundary layer, which enhanced the blocking of northern pollutants crossing the high terrain in the north of Fujian Province. This indicates that ARFs tend to weaken the haze intensity in the southeastern coastal region.

Haze

10.1175/jamc-d-16-0229.1

Cite

Citations (11)

Effect of model errors in ambient air humidity on the aerosol optical depth obtained via aerosol hygroscopicity in eastern China in the Atmospheric Chemistry and Climate Model Intercomparison Project datasets

Atmospheric and Oceanic Science Letters (2019)

Wenyuan Chang

This analysis of the multi-model aerosol optical depth (AOD) in eastern China using the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) datasets shows that the global models underestimate the AOD by 33% and 44% in southern and northern China, respectively, and decrease the relative humidity (RH) of the air in the surface layer to 71%–80%, which is less than the RH of 77%–92% in reanalysis meteorological datasets. This indicates that the low biases in the RH partially account for the errors in the AOD. The AOD is recalculated based on the model aerosol concentrations and the reanalysis humidity data. Improving the mean value of the RH increases the multi-model annual mean AOD by 45% in southern China and by 33% in June–August in northern China. This method of improving the AOD is successful in most of the ACCMIP models, but it is unlikely to be successful in GISS-E2-R, in which the plot of its AOD efficiency against RH strongly deviates from the rest of the models. The effect of the improvement in the modeled RH on the AOD depends on the concentration of aerosols. The shape error in the frequency distribution of the RH is likely to be more important than the error in the mean value of the RH, but this requires further research.

10.1080/16742834.2019.1588063

Cite

Citations (2)

Past and future direct radiative forcing of nitrate aerosol in East Asia

Theoretical and Applied Climatology (2014)

Jiandong Li Wei‐Chyung Wang Hong Liao Wenyuan Chang

Forcing (mathematics)

Chemical Transport Model

Sulfate aerosol

10.1007/s00704-014-1249-1

Cite

Citations (30)

Emission-driven changes in anthropogenic aerosol concentrations in China during 1970–2010 and its implications for PM2.5 control policy

Atmospheric Research (2018)

Wenyuan Chang Jianqiong Zhan Ying Zhang Zhengqiang Li Jia Xing

There are open debates on whether the amount of emission reduction could fulfil the anthropogenic PM2.5 (particulate matter smaller than 2.5 μm) mitigation in China. This study evaluated the long-term historical aerosol simulations for 1970–2010 in eastern China from three models (CACTUS, WRF-CMAQ, and GISS-E2-R). We introduced 95% Confidence Interval of n-year Moving Difference (n-year CIMD, n = 1…10) in the long-term simulated PM2.5 concentrations to determine how long PM2.5 change in history is significant and how many increases in historical emissions raised the amount of PM2.5 that we want to reduce today. The results show that the annual trends for the simulated PM2. 5 ranged from 0.42 to 0.72 μg m−3 year−1 lying within the 95% confidence intervals for the trend in the satellite-derived PM2.5. There was a reasonable change in PM2.5 chemical compositions with increasing nitrate and declining OA mass fractions from 1970 to 2010. Particulates were more neutralized as the quick increases in ammonia and the control on SO2 emissions. The significant analysis of changes indicates that at least a 5-year CIMD for PM2.5 could be distinguished from the PM2.5 fluctuations due to emission uncertainties and meteorological interannual variations. At least a 10-year CIMD for PM2.5 could be distinguished from the multi-model uncertainties. The historical relationship between PM2.5 and emissions suggests that the minimum PM2.5 reduction targeted in the China's 12th Five-Year Plan (FYP; 2011–2015) would require the emission changes compared with 2010 in SO2, NOx, and NH3 by 41%, 29%, and 42%, respectively. The amounts were larger than the emission reduction planned for the 12th FYP. This suggests that the past emission policies and PM2.5 control pledges were incompatible and a stricter emission reduction is needed to attain the 13th FYP (2016–2020).

CMAQ

Mass concentration (chemistry)

10.1016/j.atmosres.2018.05.008

Cite

Citations (16)

A Novel Statistical Framework to Account for Model Dependence and to Test Non-Exclusive Hypotheses: Application to Arctic Sea Ice

AGU Fall Meeting Abstracts (2019)

Roman Olson Soon‐Il An Yifei Fan Wenyuan Chang Jason P. Evans

Source

Cite

Citations (0)