Response of fine particles to the reduction of precursor emissions in yangtze river delta yrd china
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Response of fine particles to the reduction of precursor emissions in Yangtze River Delta (YRD), China. Juan Li 1 , Joshua S. Fu 1 , Yang Gao 1 , Yun-Fat Lam 1 Guoshun Zhuang 2 , Kan Huang 1,2 , Ying Zhou 3 1. The University of Tennessee, Knoxville, U.S.A. 2. Fudan University, China

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Response of fine particles to the reduction of precursor emissions in yangtze river delta yrd china

Response of fine particles to the reduction of precursor emissions in Yangtze River Delta (YRD), China

Juan Li1, Joshua S. Fu1, Yang Gao1, Yun-Fat Lam1 Guoshun Zhuang2, Kan Huang1,2, Ying Zhou3

1. The University of Tennessee, Knoxville, U.S.A.

2. Fudan University, China

3. Emory University, U.S.A.

9th Annual CMAS Conference,October 11-13, 2010 Chapel Hill, NC


Outline
Outline emissions in Yangtze River Delta (YRD), China

Introduction

Objective

Model description and performance

Sensitivity study

VOC emission reduction

NOx emission reduction

Implication on emission control in YRD


Introduction
Introduction emissions in Yangtze River Delta (YRD), China

Yangtze River Delta

Area: 99600 km2

Population: over 80 million people in 2007

50 million are urban.

Shanghai City

Population:

18,884,600

Population Density:

2,700 inhabitants/km²


Current issue o 3 pm
Current issue (O emissions in Yangtze River Delta (YRD), China3 & PM)

Haze

Shanghai

YRD is one of the four regions in China, which experiences severe visibility impairment. (Record: PM10 = 512 mg/m3)

True color-satellite image on January 18, 2007

However, very limited regional modeling have been performed in YRD.


Objective
Objective emissions in Yangtze River Delta (YRD), China

To study the response of O3 and PM2.5 over YRD to the changes of NOx and VOC emissions using CMAQ.

Reveal the atmospheric nitrate chemistry over YRD to provide effective suggestions about emission control.


Modeling configuration
Modeling Configuration emissions in Yangtze River Delta (YRD), China

27 km

9 km

3 km

CMAQ V4.6 with CB05AE4

  • Meteorological Input:

  • MM5 V3.7

  • Domain:

  • 27km, 9km & 3km

  • Vertical Grid Spacing: 24 layers

  • Emission:

  • INTEX-B with local emission adjustments

  • Simulation Period: 2006

  • IC/BC: GEOS-Chem

Discussion will be mainly on 3 km domain


Emissions development
Emissions Development emissions in Yangtze River Delta (YRD), China

  • Regional Emission Inventory

    • INTEX-B & TRACE-P

  • GIS program

    • Spatial Allocation

    • Spatial Allocation Factor

  • FORTRAN Program

    • Emission Vertical distribution

    • Temporal Allocation Domain

  • Regional Re-adjustment of Emissions

Area


Emissions comparison

Unit: 1000 tons/year emissions in Yangtze River Delta (YRD), China

INTEX-B

VOC

43.56

Ref

VOC

57.42

INTEX-B

NOX

50.06

Ref

NOX

46.39

Emissions Comparison

INTEX-B: Intercontinental Chemical Transport Experiment-Phase B

Ref. Local report


Emissions comparison cont
Emissions Comparison (Cont.) emissions in Yangtze River Delta (YRD), China


Examples of cmaq emissions input
Examples of CMAQ Emissions Input emissions in Yangtze River Delta (YRD), China

Methanol

PNO3

mole/s

g/s


Mm5 wind and temperature
MM5 Wind and Temperature emissions in Yangtze River Delta (YRD), China

Jul. 2006, Shanghai

Dec. 2006, Shanghai


Wind rose plot in shanghai
Wind rose plot in Shanghai emissions in Yangtze River Delta (YRD), China

JANUARY

JULY


Cmaq scenarios
CMAQ scenarios emissions in Yangtze River Delta (YRD), China


Observational site
Observational Site emissions in Yangtze River Delta (YRD), China

Red color: A represent O3 observational site;

Blue color: B represent PM2.5 NH4+, NO3- observational site

Observational site locate in Fudan University, a representative of residence area in downtown of Shanghai


Ozone Time Series in Site A emissions in Yangtze River Delta (YRD), China

Ozone performance statistics (based on 4 months of data)


PM emissions in Yangtze River Delta (YRD), China2.5 Daily Average Distribution

PM2.5performance statistics (based on 4 months of data)


Model performance temporal distribution
Model Performance - Temporal Distribution emissions in Yangtze River Delta (YRD), China


Model performance statistics
Model Performance - Statistics emissions in Yangtze River Delta (YRD), China

  • NMB—the normalized mean bias; NME—the normalized mean error;


Sensitivity study
Sensitivity Study emissions in Yangtze River Delta (YRD), China

Response of PM2.5 to 20% reduction of NOx and VOC, respectively


Response of nh 4 no 3 to the reduction in 20 nox and 20 voc emission
Response of NH emissions in Yangtze River Delta (YRD), China4+, NO3- to the reduction in 20% NOx and 20% VOC emission

Reduction in 20%VOC

Reduction in 20%NOx


Correlation between pan and nh 4 no 3
Correlation between PAN and NH emissions in Yangtze River Delta (YRD), China4+, NO3-

PAN were well correlated with NH4+and NO3-; the slopes in four seasons were in the order of winter>fall>spring>summer, which was coincident with the seasonal variation of temperature, indicating that lower temperature is in favor of the formation of PAN, Peroxyacetyl nitrate (PAN) may play a key role in the formation of NO3- and NH4+ in response to the reduction of NOx emission.


HNO emissions in Yangtze River Delta (YRD), China3 + NH3 NH4NO3

CH3C(O)OO·+ NO2 CH3C(O)OONO2

(PAN)

PAN (Peroxyacetyl nitrate)


Response of o 3 to reduction in nox and voc emission by 20
Response of O emissions in Yangtze River Delta (YRD), China3 to reduction in NOx and VOC emission by 20%

Reduction in 20%NOx

Reduction in 20%VOC


Response at Other Sites emissions in Yangtze River Delta (YRD), China

Reduction in 20%VOC

Reduction in 20%NOx


Summary

PAN emissions in Yangtze River Delta (YRD), China may play a key role in the formation of NO3- and NH4+in response to the reduction of NOx emission.

Emission reduction of VOC in YRD is more effective than NOx in terms of reducing O3 and PM2.5.

Summary


Acknowledgement
Acknowledgement emissions in Yangtze River Delta (YRD), China

Energy Foundation

Harvard School of Public Health (Grant No. G-0910-10653).

National Key Project of Basic Research of China (Grant No. 2006CB403704),

National Natural Science Foundation of China (Grant Nos. 20877020, 40575062, and 40599420).

The National Institute for Computational Sciences at the University of Tennessee provides CPU time on the Kraken supercomputer to conduct the simulations.


Question emissions in Yangtze River Delta (YRD), China


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