ozone transport network guoxun tian cs 790g fall 2010

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Ozone transport network Guoxun Tian CS 790G Fall 2010

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Page 1: Ozone transport network Guoxun Tian CS 790G Fall 2010

Ozone transport networkGuoxun Tian

CS 790GFall 2010

Page 2: Ozone transport network Guoxun Tian CS 790G Fall 2010

Overview

Introduction My goal and Problems Methodology

Two way to solve the problems How to connect this network to our

course? Where my data come from?

Reference Questions

Page 3: Ozone transport network Guoxun Tian CS 790G Fall 2010

R. Husar et al.(1998)

April 1998 event

http://en.wikipedia.org/wiki/File:Chinadustmovie.gif

http://en.wikipedia.org/wiki/File:Dust_movie.gif

Transport of East Asian Dust across the pacific

Page 4: Ozone transport network Guoxun Tian CS 790G Fall 2010

Why California California has the highest ozone level

Page 5: Ozone transport network Guoxun Tian CS 790G Fall 2010

My goal

Goal: to build a complex network of ozone transport based on 15 basins

California is divided into 15 Air Basins to better manage air pollution. Air basin boundaries were decided by grouping similar geographic features together. Some air basins really are like a basin, with valleys surrounded by mountains. Political boundaries, Such as counties, were also important. In this network, the nodes represent all basins and the edges represent the ozone transportation between them.

Page 6: Ozone transport network Guoxun Tian CS 790G Fall 2010

My goal

Air pollution emissions from one air basin are often blown into a neighbor’s air basin

Page 7: Ozone transport network Guoxun Tian CS 790G Fall 2010

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Local Ozone

Local ozone concentrations= Natural ozone +Transported ozone (generated from emissions

from upwind cities and natural events such as wildfires)

+ Local ozone (generated from local anthropogenic

emissions)

Problems

Page 8: Ozone transport network Guoxun Tian CS 790G Fall 2010

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Problems (1 of 2)

Background ozone What is the typical natural background

ozone concentration?

Transport How much ozone, above natural

background, was transported into each city or basin?

What are the typical source areas for transported ozone?

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Problems (2 of 2)

Local contribution What amount of locally generated ozone was

produced at each city? Contribution comparison

On what percentage of high-ozone days was peak local 8-hr ozone dominated by locally generated ozone compared to transported ozone?

How do these percentages change for each city by transport direction?

How do the contribution amounts compare among the cities?

Page 10: Ozone transport network Guoxun Tian CS 790G Fall 2010

Methodology1. Statistcal AnalysesAnalyses of the time of peak ozone concentration at various

monitoring sites can yield useful information on transport patterns and source areas.

In most major source areas of interest in California, transport winds are light in the morning, allowing ozone precursor concentrations to build up and zone to form.

A B

BA Wind

Morning

Page 11: Ozone transport network Guoxun Tian CS 790G Fall 2010

1. Statistcal Analyses

Page 12: Ozone transport network Guoxun Tian CS 790G Fall 2010

2. Back trajectory analysis Back trajectory analyses are computer models based on data from past

weather forecasting models that predict how air moves and arrives at a fixed destination (Yarwood et al., 2000).

The National Oceanic and Atmospheric Administration (NOAA) provides a modeling tool known as the HYSPLIT model, which calculates back trajectories.

Another tool that calculates back trajectories, VIEWS, provides a similar product using different assumptions and weather models.

These tools can be used as indicators as to whether or not a high ozone level could be attributed to ozone transport from other areas (Yarwood et al., 2000).

Methodology

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Methodology Peak Local Ozone = Incoming (natural background + transported anthropogenic) + Local Anthropogenic

System developed to calculate incoming ozone (Clinton P. MacDonald)

Ran multiple backward trajectories each day for five years (2001–2005, April–October);

Determined the daily peak 8-hr ozone concentration at the last site near which each trajectory passed during daylight hours prior to entering each city; and

Averaged all concentrations to estimate incoming boundary layer concentration each day.

Page 14: Ozone transport network Guoxun Tian CS 790G Fall 2010

How to connect this network to our course?

Do analysis and calculate the centrality, betweennees, closeness and other parameter of each node to know the relationship betweeen them

Ozone Transport sketch map of San Francisco Bay Area Air Basin

Page 15: Ozone transport network Guoxun Tian CS 790G Fall 2010

How to connect this network to our course?

Do some analysis dynamically, see if we can find a way to reduce the ozone level of California with minimize cost.

Page 16: Ozone transport network Guoxun Tian CS 790G Fall 2010

Where my data come from?

California Environmental Protection Agency: Air Resources Board.

California’s ambient air monitoring network is one of the most extensive in the world, consisting of over 250 sites where air pollution levels are monitored and more than 700 monitors used to measure the pollutant levels.

Page 17: Ozone transport network Guoxun Tian CS 790G Fall 2010

Where my data come from?

http://www.arb.ca.gov

Page 18: Ozone transport network Guoxun Tian CS 790G Fall 2010

Reference Clark County Regional Ozone and Precursor Study (CCROPS).

Robert A. Baxter, CCM T&B Systems. Clark County Air Quality Forum – 03/14/06

WESTAR Ozone Transport Analysis. Clinton P. MacDonald, Dianne S. Miller, Sean Raffuse, Tim S. Dye. Sonoma Technology, Inc. Petaluma, CA. WESTAR Fall Business Meeting. Boise, ID. September 27, 2006

Ozone transport during the California Ozone Deposition Experiment. Jielun Sun, William Massman. Journal of Geophysical research. Vol.104 , No. D10, Pages 11,939-11,948, May 27 1999.

Ozone trasport analysis using back-trajectories and CAMx probing Tools. Presented at the 9th Annual CMAS Conference, Chapel Hill, NC, October 11-13, 2010

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Thanks

Question

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