[
    {
        "id": "authors:hhfvj-9v934",
        "collection": "authors",
        "collection_id": "hhfvj-9v934",
        "cite_using_url": "https://resolver.caltech.edu/CaltechEQL:EQL-R-18",
        "type": "monograph",
        "title": "Mathematical modeling of photochemical air pollution",
        "author": [
            {
                "family_name": "McRae",
                "given_name": "Gregory J.",
                "clpid": "McRae-G-J"
            },
            {
                "family_name": "Goodin",
                "given_name": "William R.",
                "clpid": "Goodin-W-R"
            },
            {
                "family_name": "Seinfeld",
                "given_name": "John H.",
                "orcid": "0000-0003-1344-4068",
                "clpid": "Seinfeld-J-H"
            }
        ],
        "abstract": "A particularly serious problem facing densely populated areas is the environmental degradation caused by the presence of photochemical air pollution. The problem is both pervasive and difficult to control. An important element of any rational approach directed at attempting to improve the situation is a reliable means for evaluating the air quality impact of alternative control measures. This report presents such a capability in the form of a mathematical description of the production and transport of photochemical oxidants within an urban airshed.",
        "doi": "10.7907/Z9BR8Q4D",
        "publisher": "California Institute of Technology",
        "publication_date": "1982-04-27"
    },
    {
        "id": "authors:wsam9-k4606",
        "collection": "authors",
        "collection_id": "wsam9-k4606",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20120928-114602569",
        "type": "monograph",
        "title": "Relation of emissions to air quality for photochemical smog",
        "author": [
            {
                "family_name": "Seinfeld",
                "given_name": "John H.",
                "orcid": "0000-0003-1344-4068",
                "clpid": "Seinfeld-J-H"
            }
        ],
        "abstract": "Effective evaluation of air pollution control strategies requires\nthe use of validated and reliable mathemtical models that can relate\npollutant emissions to atmospheric air quality. The primary objective\nof this research program has been to develop a fundamental capability\nto assess the effectiveness of air pollution control measures in\nreducing photochemical air pollution. An important aspect of the\ndevelopment has been to simplify the preparation of input data and\noperational use of the resulting model. The system has been designed\nto be used by air pollution agencies with relatively little experience\nin atmospheric physics and chemistry. The assumptions commonly\nemployed in model formulations have been evaluated to ensure a valid\nrepresentation of the physical and chemical processes in the atmosphere.\nIn the most recent phase of this research the comprehensive photochemical\nairshed model has been evaluated against data available in\nthe South Coast Air Basin of Southern California. This task was\nundertaken in collaboration with the California Air Resources Board,\nAir Quality Modeling Section. A statistical analysis package has been\nused to evaluate the correspondence of predicted and observed concentrations\nfor the days on which the model was evaluated. An assessment\nof the EPA ozone isopleth modeling technique has been initiated.",
        "doi": "10.7907/wsam9-k4606",
        "publisher": "California Institute of Technology",
        "publication_date": "1980-04"
    },
    {
        "id": "authors:26p8c-g4n77",
        "collection": "authors",
        "collection_id": "26p8c-g4n77",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20120928-111332964",
        "type": "monograph",
        "title": "Relation of Emissions to Air Quality for Photochemical Smog",
        "author": [
            {
                "family_name": "Seinfeld",
                "given_name": "John H.",
                "orcid": "0000-0003-1344-4068",
                "clpid": "Seinfeld-J-H"
            }
        ],
        "abstract": "Effective evaluation of air pollution control strategies requires\nthe use of validated and reliable mathematical models that can relate\npollutant emissions to atmospheric air quality. The primary objective\nof this research program has been to develop a fundamental modeling\ncapability to assess the effectiveness of air pollution control\nmeasures in reducing smog. An important aspect of the development\nhas been to simplify the preparation of input data and operational\nuse of the resulting model. The system has been designed to be used\nby air pollution agencies with relatively little experience in\natmospheric physics and chemistry. The assumptions commonly employed\nin model formulations have been evaluated to ensure a valid representation\nof the physical and chemical processes in the atmosphere.\n\nAs part of this project a new set of objective analysis procedures\nhas been developed to generate meteorological fields from sparse and\ndiscrete surface level observations (Publications 6a and 6b). New\nparameterizations of turbulent diffusivity and surface interactions\nhave led to a better understanding of the mixing and removal of chemically\nreacting pollutants. Numerical techniques have been developed to solve\nthe large system of coupled nonlinear partial differential equations\nwhich describe the pollutant transport and chemical reactions.",
        "doi": "10.7907/26p8c-g4n77",
        "publisher": "California Institute of Technology",
        "publication_date": "1979-02"
    }
]