Chemical composition of ambient PM2

Slides:

Advertisements

Similar presentations

Time series of satellite-based fine particulate matter (PM 2.5 ) concentrations over China: Guannan Geng, Qiang Zhang, Aaron van Donkelaar, Randall.

Advertisements

NASA AQAST 6th Biannual Meeting January 15-17, 2014 Heather Simon Changes in Spatial and Temporal Ozone Patterns Resulting from Emissions Reductions: Implications.

Source Apportionment of PM 2.5 in the Southeastern US Sangil Lee 1, Yongtao Hu 1, Michael Chang 2, Karsten Baumann 2, Armistead (Ted) Russell 1 1 School.

Junwei Xu 1 Randall V. Martin 1,2, Jhoon Kim 3, Myungje Choi 3, Qiang Zhang 4, Guannan Geng 4, Yang Liu 5, Zongwei Ma 5,6, Lei Huang 6, Yuxuan Wang 4,7.

Time Series Analysis of Satellite-Derived PM 2.5 Brian Boys, Randall V. Martin, Aaron van Donkelaar, Ryan MacDonell, Nai-Yung C. Hsu * NASA/Goddard Space.

Transpacific transport of pollution as seen from space Funding: NASA, EPA, EPRI Daniel J. Jacob, Rokjin J. Park, Becky Alexander, T. Duncan Fairlie, Arlene.

Satellite-based Global Estimate of Ground-level Fine Particulate Matter Concentrations Aaron van Donkelaar1, Randall Martin1,2, Lok Lamsal1, Chulkyu Lee1.

Investigating Organic Aerosol Loading in the Remote Marine Environment K. Lapina 1, ), C. L. Heald 1, D. V. Spracklen 2, S.

Human health applications of atmospheric remote sensing Simon Hales, Housing and Health Research Programme, University of Otago, Wellington, New Zealand.

Hong Liao Institute of Atmospheric Physics Chinese Academy of Sciences Simulation of Air Pollutants (AP) over China using the GEOS-CHEM.

Satellite Remote Sensing of Global Air Pollution

Air Quality Impact Analysis 1.Establish a relationship between emissions and air quality. AQ past = a EM past + b 2.A change in emissions results in an.

Xuexi Tie Xu Tang,Fuhai Geng, and Chunsheng Zhao Shanghai Meteorological Bureau Atmospheric Chemistry Division/NCAR Peking University Understand.

Aerosol Microphysics: Plans for GEOS-CHEM

Chapter 4: How Satellite Data Complement Ground-Based Monitor Data 3:15 – 3:45.

(Impacts are Felt on Scales from Local to Global) Aerosols Link Climate, Air Quality, and Health: Dirtier Air and a Dimmer Sun Emissions Impacts == 

O 3 and fine particle pollution in China and regional air quality modeling Yuanhang Zhang College of Environmental Sciences Peking University Beijing ,

1 AOD to PM2.5 to AQC – An excel sheet exercise ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan Gupta Salt.

1 NO x emissions from power plants in China: bottom-up estimates and satellite constraints Siwen Wang, 1,3 Qiang Zhang, 2 David G. Streets, 3 Kebin He,

1/30 2-year observation of Organic Aerosol properties In Cape Corsica J. Sciare, and LSCE.

The Use of Source Apportionment for Air Quality Management and Health Assessments Philip K. Hopke Clarkson University Center for Air Resources Engineering.

Insight into Global Air Quality using Satellite Remote Sensing and Modeling Randall Martin with contributions from Aaron van Donkelaar, Shailesh Kharol,

Evaluation and Application of Air Quality Model System in Shanghai Qian Wang 1, Qingyan Fu 1, Yufei Zou 1, Yanmin Huang 1, Huxiong Cui 1, Junming Zhao.

Applications of Satellite Remote Sensing to Estimate Global Ambient Fine Particulate Matter Concentrations Randall Martin, Dalhousie and Harvard-Smithsonian.

Model Evaluation Comparing Model Output to Ambient Data Christian Seigneur AER San Ramon, California.

Southeast US air chemistry: directions for future SEAC 4 RS analyses Tropospheric Chemistry Breakout Group DRIVING QUESTION: How do biogenic and anthropogenic.

NATURAL AND TRANSBOUNDARY POLLUTION INFLUENCES ON AEROSOL CONCENTRATIONS AND VISIBILITY DEGRADATION IN THE UNITED STATES Rokjin J. Park, Daniel J. Jacob,

Modeling Regional Haze in Big Bend National Park with CMAQ Betty Pun, Christian Seigneur & Shiang-Yuh Wu AER, San Ramon Naresh Kumar EPRI, Palo Alto CMAQ.

USDA - NASA Workshop Air Quality Focus Area March 4-5, 2003.

Satellite Remote Sensing of NO 2 as an Indicator of Aerosol Pollution: Opportunities from GEMS (and GOCI) Observations Randall Martin with contributions.

Transpacific transport of anthropogenic aerosols: Integrating ground and satellite observations with models AAAR, Austin, Texas October 18, 2005 Colette.

Estimating PM 2.5 from MODIS and MISR AOD Aaron van Donkelaar and Randall Martin March 2009.

Relating Aerosol Mass and Optical Depth in the Southeastern U.S. C. A. Brock, N. L. Wagner, A. M. Middlebrook, T. D. Gordon, and D. M. Murphy Earth System.

‘APEC Blue’ in North China simulated with the high resolution nested GEOS-Chem model Yixuan Gu 1,2, Hong Liao 1 1 State Key Laboratory of Atmospheric Boundary.

BRAVO Results of REMSAD Shiang-Yuh Wu, Betty Pun & Christian Seigneur AER, San Ramon 10 October 2002.

GEOS-CHEM Activities at NIA Hongyu Liu National Institute of Aerospace (NIA) at NASA LaRC June 2, 2003.

Evaluation of emission inventory (EI) of air pollutants for Nanjing, China Y. ZHAO 1, L. Qiu 1, F. XIE 2, Q. ZHANG 3, Y. YU 4, C. NIELSEN 5, J. ZHANG 6.

Chemical Data Assimilation: Aerosols - Data Sources, availability and needs Raymond Hoff Physics Department/JCET UMBC.

Emissions Scenarios for Effective Policies: China’s SO 2 control GEIA 2015 Conference, Beijing, Nov 20,2015 Yuxuan Wang 1,2, Qianqian Zhang 1,3 1 Tsinghua.

Particulate Matter and its Sources in Georgia Sangil Lee.

Multi-resolution Emission Inventory for China (MEIC): model framework and anthropogenic emissions Kebin He School of Environment Tsinghua University,

Organized by GEIA China Working Group Presented by Qiang Zhang, Tsinghua University The 17 th GEIA Conference, Nov , Beijing, China Objectives: Understand.

Status Report on the Role of Ammonia in the San Joaquin Valley December 11, 2003 Air Resources Board California Environmental Protection Agency.

Using in situ data to better understand Chinese air pollution events

Yuqiang Zhang1, Owen R, Cooper2,3, J. Jason West1

Top-down estimate of aerosol emissions from MODIS and OMI

Adverse Effects of Drought on Air Quality in the US

Xiaomeng Jin1, Arlene Fiore1, Lee Murray2, Luke Valin3

Source Attribution Using Satellite Products and Models to Inform Air Quality Planning and Health Accountability PI: Arlene M. Fiore Co-I: Pat.

Advisor: Michael McElroy

Sunil Kumar TAC, COG July 9, 2007

Transboundary health impacts of transported global air pollution and international trade Qiang Zhang, Xujia Jiang, Dan Tong, Steven Davis, Hongyan Zhao,

How Can TEMPO Contribute to Air Pollution Health Effects Research

TOP-DOWN CONSTRAINTS ON EMISSION INVENTORIES OF OZONE PRECURSORS

Maria Paula Pérez-Peña, MSc. 1 Ricardo Morales Betancourt, PhD. 1

Top-down estimate of aerosol emissions from MODIS and OMI

ATMOSPHERIC AEROSOL: suspension of condensed-phase particles in air

AEROSOLS REDUCE ATMOSPHERIC OXIDATION

Using dynamic aerosol optical properties from a chemical transport model (CTM) to retrieve aerosol optical depths from MODIS reflectances over land Fall.

with contributions (alphabetical) from

Diurnal Variation of Nitrogen Dioxide

OMI Tropospheric NO2 in China

Continuous measurement of airborne particles and gases

Global Climatology of Fine Particulate Matter Concentrations Estimated from Remote-Sensed Aerosol Optical Depth Aaron van Donkelaar1, Randall Martin1,2,

INTEX-B flight tracks (April-May 2006)

TFMM PM Assessment Report

Neighborhood-scale health impacts from PM2.5

The effect of emission control measures on ozone concentration

Urbanization-induced population migration has reduced ambient PM2

Fine particulate matter and ozone pollution in China: recent trends, future controls, and impact of climate change Daniel J. Jacob A typical day in Beijing.

Presentation transcript:

Chemical composition of ambient PM2 Chemical composition of ambient PM2.5 over China and relationship to precursor emissions during 2005–2012 Guannan Geng, Qiang Zhang, Dan Tong, Meng Li, Yixuan Zheng, Siwen Wang, and Kebin He May 3, 2017

Severe PM2.5 pollution over China Primary pollutants in 2013 Mortality PM2.5 concentrations in 2013 above 100μg/m3 China (Apte et al., ES&T, 2016)

Datasets used in this study Ground measurements National monitoring network is unavailable between 2005 and 2012 Observations collected from literatures Satellite-based PM2.5 composition (2005-2012) Satellite AOD data from MODIS and MISR instrument GEOS-Chem model Bottom-up emissions MEIC inventory 𝑨𝑶𝑫 𝒔𝒂𝒕𝒆𝒍𝒍𝒊𝒕𝒆 × 𝑷𝑴 𝟐.𝟓_𝒎𝒐𝒅𝒆𝒍𝒆𝒅 ( 𝑪𝒐𝒎𝒑𝒐𝒏𝒆𝒕 𝒎𝒐𝒅𝒆𝒍𝒆𝒅 ) 𝑨𝑶𝑫 𝒎𝒐𝒅𝒆𝒍𝒆𝒅 𝑷𝑴 𝟐.𝟓_𝒔𝒂𝒕𝒆𝒍𝒍𝒊𝒕𝒆 𝑪𝒐𝒎𝒑𝒐𝒏𝒆𝒕 𝒔𝒂𝒕𝒆𝒍𝒍𝒊𝒕𝒆 (Geng et al., RSE, 2015) (Philip et al., ES&T, 2014)

Evaluation (Geng et al., ACPD, 2017)

Spatial distribution of PM2.5 composition

PM2.5 speciation for 20 major cities across China

Temporal variations in PM2.5 National population-weighted mean PM2.5 concentration increased from 2005 to 2007 and subsequently decreased from 2007 to 2012

Temporal variations in PM2.5 composition Sulfate Nitrate Ammonium OM BC Dust Sea salt -2.36%/yr +3.39%/yr

Temporal variations in SNA Sulfate concentration increased by 10.7% from 2005–2006 and then decreased by 4.3% per year from 2006–2012. The decrease of sulfate concentration is partly offset by the increase of nitrate concentration: population-weighted mean nitrate concentration increased by 3.4% per year during 2005–2012.

Relationship between PM2.5 composition and precursor emissions The changes in sulfate and nitrate concentrations were in line with the changes in SO2 and NOx emissions during the same period.

Emission driving forces 12th Five Year Plan: Reduce SO2 by 8% Reduce NOx by 10% 11th Five Year Plan: Reduce SO2 by 10% 2006 2011

Region-specific emission change rates

Summary Variations in PM2.5 concentrations are mainly driven by the changes in sulfate and nitrate concentrations. The decrease of sulfate concentration is partly offset by the increase of nitrate concentration. Synchronized abatement of emissions for multi-pollutants are necessary for reducing ambient PM2.5 concentrations over China

Model Evaluation