Download Understanding Ozone Transport in California: Local & Transported Ozone in 15 Air Basins and more Slides Data Communication Systems and Computer Networks in PDF only on Docsity! Ozone transport network Docsity.com 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 Docsity.com 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. Docsity.com My goal Air pollution emissions from one air basin are often blown into a neighbor’s air basin Docsity.com 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) 7 Problems Docsity.com Methodology 1. Statistcal Analyses Analyses 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 B A Wind Morning Docsity.com 1. Statistcal Analyses
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Mean Ozone Concentration (pphm)
i j i ;
i i : t :
0 T r a 1 T : T v T T v
0 2 4 6 8 10 2 14 16 18 20 22
Hour (PST}
—~— Pot. Transport Days —— Other Days
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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 Docsity.com 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. Docsity.com 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. Docsity.com Where my data come from?
SoFarToday | Yesterday 7 Days ending This Year-to-Date
Regi (11/09/2010) i (11/08/2010) i (11/08/2010) i_ through 11/08/2010
egion PMaxthr : Latesthr | Max thr | Max 8hr Maxthr : Max@hr Max ihr | Max 8hr
(ppm): (PST) (ppm) (ppm) (ppm) (ppm) (ppm) __ (ppm)
Sacramento Metropolitan Area” NIA NIA 0.038 0.032 0.066 «= 0.051 «2d 0.412
San Diego Air Basin NIA NIA 0.047 0.045 0.060 0.049 0407 0.088
San Francisco Bay Area Air Basin NIA NA 0.040 0.037 | 0.056 | 9.044 = 0.450 0.098
San Joaquin Valley Air Basin NIA NA | 0.045 0.042, 0.090.077, tO.
South Coast Air Basin NIA NIA 0.045 = 0.043 = 0.058 == 0.052 0.1438 ODA
Ventura County (Mainland Onl | NIA NIA 0.044 — 0042 | 0.063 | 0.048 | 0.102 | 0,089
Antelope Valley and W. Mojave Desert NIA NWA | 0.080 | 9.056 | 9,080 © 0.057 N87, Nd
Coachella Valley NA NWA 0,048 0.045 | 0.057 | 0,054 0.145 0.099
Eastern Kern County / NA NA | 0.037 | 9036 | 9.049 | 9.044 | 9,092 | 0,084
Imperial County NIA NIA 0.050 : 0.046 | 0.057 | 0.049 | 0.422 : 0,082
Lake County NIA NIA NIA NIA i NIA i NIA i 0.060 0.052
http: //www.arb.ca.gov
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