Interplay of Wind Pattern and Topography on Air Pollution Dispersion in the San Francisco Bay Area Understanding the influence meteorology and topography has on air pollution transport A research proposal submitted to the Urban Studies and Planning Program University of California, San Diego Henry Pan USP 186 Section A02 hepan@ucsd.edu November 8, 2011 Abstract This proposal outlines a research strategy to examine wind patterns on air pollution dispersion and transport in the San Francisco Bay Area. Current research on the relationship of wind pattern and air pollution suggests that the meteorology and topography of an area has great impact in the dispersion of air pollutants. This raises two fundamental problems: how can this analysis be applied to different areas and what benefits can this analysis provide for? Specifically, the study will do a case study of the San Francisco Bay Area region and will also rely on wind field maps, emission inventory data, and archival research. The research will contribute to the literature on air quality policy making and regulations, but it will also be shared with public and private organizations in hope that the findings will help improve air quality. Key Terms: air quality, wind pattern, dispersion, San Francisco Bay Area Introduction Air pollution is a regional issue that can crosses multiple jurisdictions and effect several regions. This dispersion of pollutant is caused by the unique wind patterns pertaining to a given area. This study seeks to understand how the wind patterns in the San Francisco Bay Area influences air pollution accumulation and concentration in the coastal and inland regions. In order to understand this meteorologic phenomenon, I will examine the specific wind patterns in the San Francisco Bay Area, point sources and area sources of pollutant emission, and the topographic characteristics of the regions. It is important to study the relationship between wind patterns and air pollution concentration in the San Francisco Bay Area so we can better understand how much impact air pollution can have not only within the surrounding area of the Pan 2 source but also the outer surrounding region such as the inlands of the San Francisco Bay Area. With this, we can make more impacting air quality policy decisions and regulations. However, there is a limitation to this study in which this does not provide a general model that will be applicable to other areas. It is important to recognize that each area has unique characteristics in which one must take into consideration while conducting site analyses. Also, in a more general sense, the results from this research may be less significant due to financial factors. The operational costs, investments, and regulatory controls for environmental abatement may lead to economic growth slowdown which may possibly disinterest policy-makers (Jorgenson and Wilcoxen 1990, 337-339). Conceptual Framework The influence of meteorology and topography of an area on air pollution is significant in evaluating any air pollutant concentrations. Previous studies have shown that there is a relationship between wind patterns and air pollutants (Henry, et. al. 2002, 2237). Understanding the effects of these two factors is important for policy-making and regulations because due to these conditions, air pollutants can travel well far off from the point sources. Therefore, regional efforts in mitigation must be practiced. For example, in Ventura and Los Angeles counties, a study was conducted to trace transport and dispersion of atmospheric pollutants between the two counties (Lamb et. al. 1978, 2089). In this site, the terrain and the wind field were specifically analyzed to show their influence on the movement of the pollutants. As a result, it was discovered that pollutants from the Oxnard Plain in Ventura County can travel into the inlands of San Fernando Valley in the Los Angeles Basin. The transport of pollutants in this study crosses multiple jurisdictions where one’s mitigation efforts may not be entirely successful due to the failure of addressing the primary source of emission. Therefore, it is important to consider Pan 3 regional governance in air pollution legislations. Furthermore, this research will produce data analysis for the support of regional participation in mitigation of air pollution in the San Francisco Bay Area. Although many jurisdictions do not practice regional governance, air pollution is increasingly considered to be a regional issue. This issue is exemplified by a case study conducted in the Los Angeles air basin. Here, because of the sea breeze coming from the west of Los Angeles, the accumulated air pollutant from source areas are then transported into areas such as Riverside and San Bernardino (Blumenthal 1978, 893). This case study provides us an example of how wind patterns can greatly influence pollution concentrations from one area to another. It also provides us a perspective on regional effects of air pollution where local mitigation efforts in the inland communities would be fruitless due to the major source of pollution coming from other municipalities. However, because there is great sensitivity of location characteristics on the results, the same effect of the interplay of meteorology and topography may not be assumed for the San Francisco Bay Area region. Although the results from this study may not be directly applied to the San Francisco Bay Area region, it would however provide us an outlook of what we may expect to occur with the wind field and topography of the San Francisco Bay Area region. There have also been studies conducted on the transport of air pollutants on a global scale. One example of this is a case study on the transport of air pollution from Asia to North America. In this study, air pollutants have been traced in the air from East Asia to North America to discover the length of time it takes for the pollutants to be transported (Jaffe et. al. 1999, 711). The study reported that it takes about six days for the air pollutants to travel between these two far-stretching regions. This study demonstrates how great of an impact wind has on the Pan 4 movement of air pollutants and their transport from one region to another. However, because this study focuses on a global scale, it is difficult to determine the full impact of the transport of air pollutants because as the area of study increases, the situation becomes more complex. For example, in this study, local sources of pollution must be considered in the increased concentration of air pollutants. Another factor that needs to be addressed is the recirculation of wind in a region that can promote the accumulation of air pollutants. For example, in the case study of the Great Lakes lake-breeze circulation and its effects on pollutant transport in the surrounding region, the inversion and circulation of air from the Great Lakes has been demonstrated to have an impact in the accumulation of air pollutants around the urbanized shoreline such as Chicago, Illinois (Lyons and Olsson 1973, 387). This case study adds more emphasize on the impact wind patterns may have on air pollution dispersion in a particular area. Although the physical characteristics of the Great Lakes is not comparable to the Pacific Ocean enclosing the San Francisco Bay Area, we can, however, use this as an example of how recirculation may affect the concentration of air pollutants in an area since according to wind pattern makes, there are some presence of recirculating wind patterns (Ludwig and Kehaloa1974, 31). The meteorology and topography of the region have been demonstrated to be highly influential in the dispersion and transport of air pollutants. However, because there is a great dependence on the region’s landscape and characteristics, this concept must be analyzed and evaluated for case by case scenarios. In this study, I will specifically target the San Francisco Bay Area and analyze how the wind field in the Bay area influences air pollutant concentrations in the region in a large scale perspective. Moreover, this study will revolve around a couple fundamental problems: How does the wind patterns in the San Francisco Bay Area influence the Pan 5 dispersion and transport of air pollution from the coastal region into the inland regions in the San Francisco Bay Area and why it is important to consider the interplay of meteorology and topography in policy making and regulations. Research Design and Methods In order to conduct this study, a couple mechanisms will be used to collect and analyze the data on the various aspects of the San Francisco Bay Area. One main tool that will be used in this research is the Geographic Information System. This tool will essentially assist in analyzing the interplay of meteorology and topography in the San Francisco Bay Area region. In order to conduct this analysis, data on the wind patterns of the San Francisco Bay Area must be collected. This data will be located from government agencies such as the National Oceanic and Atmospheric Administration and non-government agencies. Data would potentially include wind pattern changes throughout the year, spanning a few decades worth. An example of this data has been found in a report compiled by F.L. Ludwig of the Stanford Research Institute. In this report, maps of the most common daytime wind patterns in the San Francisco Bay Area are provided (Ludwig and Kealoha 1974, 31). Since I have proficient skills in GIS, if GIS data is not available, I will compile the raw data into data layers with GIS in order to spatially display them. In addition to wind pattern data, air pollution emission data on the many municipalities will be collected in which the estimated amount of air pollutant emitted by point sources and their locations will be given. This information will provide a sense of where major pollutant emitters are located and their relative position in the wind field. An example of this was found from the Bay Area Air Quality Management District which governs the nine bay area counties in regulating sources of air pollution. The BAAQMD provides an emission inventory of the nine counties of the Bay Area where point sources and area sources are identified with their names, Pan 6 locations, and amount of pollutant emitted (Mangat et. al. 2010, 1-37). Further data will be collected from the BAAQMD. If GIS-ready data is not available, the raw data will be compiled into data layers with GIS in order to spatially display them. This research will provide the public and government officials a spatial reference of the interplay of meteorology and topography on transporting air pollutants in the San Francisco Bay Area. Mostly, this will also exemplify the importance in regional policy-making practices and the necessity of conducting case by case analysis over one-size fits all models. Part of the data collection has already been completed. Such data include emission inventory of 2010 and wind patterns of 1957. However, data collection will continue for about eight more weeks. This will include data of emission inventories of previous years and of wind pattern maps of the San Francisco Bay Area region spanning several decades. After data collection has completed, compilation of the data collected into GIS data layers will begin in order to create a spatial element for analysis of this research. Expected Outcomes/Deliverables The data from this research will assist in spatializing the effects of wind patterns on air pollution dispersion. In analyzing the data, we will be able to see that meteorological and topographic elements have significant impacts on the transport of airborne pollutants. In particular, this research will illustrate the movement of air pollutants generated near the coastal area of the San Francisco Bay Area into the inland areas causing an accumulation of pollutants in the inland region. By the comparing between the wind pattern map layers and air quality data of each subarea, the increase in air pollutant concentration due to the transport and dispersion by wind patterns in the inland region will become noticeable. Pan 7 The results from this research would be applied to future policy-making decisions in areas such as public health policies or regional air pollution mitigation plans. An example of this is the recognition of the spatial area of influence air pollution has due to meteorological and topographic factors and the enforcement of the reallocation of pollution tax dollars. Traditionally, allocation of pollution tax dollars would go to the surround community of the point source emitter (Henderson 1977, 89). However, this reallocation would also consider allocating funding to communities where point sources are not necessarily located within their boundaries but do cause significant pollution impact. In addition to reallocation of tax dollars, initiatives for public health improvements may result from the use of the results of the research. The data from this research would illustrate how stricter health regulations can yield greater health and economic benefits (Ostro and Chestnut 1998, 94). For example, by creating heavy regulations on air pollution emission, the amount of pollutant in general decrease; therefore, the amount of pollutant transported and dispersed would plunge. This may ultimately yield greater health and economic benefit for the entire region. In addressing the comments received in the draft proposal, I have elaborated more in my arguments and comments while making my literature reviews stronger. Bibliography Blumenthal, D. L., W.H. White, and T.B. Smith. 1978. Anatomy of a Los Angeles Smog Episode: Pollutant Transport in the Daytime Sea Breeze Regime. Atmospheric Environment. 12: 893-907. Henderson, J.V. 1977. Externalities in a Spatial Context. Journal of Public Economics. 7: 89-110. Henry, Ronald C., Yu-Shuo Chang, and Clifford H. Spiegelman. 2002. Locating nearby sources of air pollution by nonparametric regression of atmospheric concentrations on wind direction. Atmospheric Environment. 36: 2237-2244. Pan 8 Jaffe, Dan, Theodore Anderson, Dave Covert, Robert Kotchenruther, Barbara Trost, Jen Danielson, William Simpson, Terje Bernstsen, Sigrun Karlsdottir, Donald Blake, Joyce Harris, Greg Carmichael, and Itsushi Uno. Transport of Asian Air Pollution to North America. Geophysical Research Letters. 26(6): 711-714. Jorgenson, Dale W. and Peter J. Wilcoxen. 1990. Environmental Regulation and U.S. Economic Growth. Journal of Economics. 21(2): 314-340. Lamb, Brian K., Arndt Lorenzen, and Frederick H. Shair. 1978. Atmospheric Dispersion and Transport Within Coastal Regions – Part I. Tracer Study of Power Plant Emissions from the Oxnard Plain. Atmospheric Environment. 12: 2089-2100. Ludwig, F.L. and J.H.S. Kealoha. 1974. Present and Prospective San Francisco Bay Area Air Quality. Stanford Research Institute. Lyons, Walter A. and Lars E. Olsson. 1973. Detailed Mesometeorological Studies of Air Pollution Dispersion in the Chicago Lake Breeze. Monthly Weather Review. 101(5): 387-403. Mangat, Tirlochan S., Sukarn J. Claire, Tan M. Dinh, Amir K. Fanai, Michael H. Nguyen, and Stuart A. Schultz. 2010. Source Inventory of Bay Area Greenhouse Gas Emissions. Bay Area Air Quality Management District. Ostro, Bart and Lauraine Chestnut. 1998. Assessing the Health Benefits of Reducing Particulate Matter Air Pollution in the United States. Environmental Research. 76: 94-106.