A GIS-based approach to spatial allocation of area source solvent emissions

Jian Dai, David M Rocke

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

Current area source emission inventories estimate total emissions for various industrial, commercial, and consumer activities at the county or higher levels. The lack of emission estimates at subcounty levels severely limits the modeling and planning capabilities in urban and regional air quality management. This paper extends current area source emission inventory methodology by developing a geographical information system (GIS) based approach for allocating county-level emission estimates to subcounty units. The new methodology uses GIS to develop and integrate spatial data, to analyze spatial variations in emissions, and to derive input to cell-based air pollution models. This approach incorporates statistical models to predict the spatial distribution of emission source activities based on widely available data. The paper presents an application of the proposed approach to emission inventory of the adhesives and sealants category in the Sacramento modeling region, California. (C) 2000 Elsevier Science Ltd.

Original languageEnglish (US)
Pages (from-to)293-302
Number of pages10
JournalEnvironmental Modelling and Software
Volume15
Issue number3
DOIs
StatePublished - Mar 2000

Fingerprint

Information systems
emission inventory
GIS
Sealants
Quality management
Air pollution
Air quality
Spatial distribution
Adhesives
Planning
methodology
spatial data
modeling
atmospheric pollution
spatial variation
spatial distribution
allocation
Statistical Models
county

Keywords

  • Area source emissions
  • Geographic information systems
  • Spatial modeling

ASJC Scopus subject areas

  • Environmental Science(all)
  • Ecological Modeling

Cite this

A GIS-based approach to spatial allocation of area source solvent emissions. / Dai, Jian; Rocke, David M.

In: Environmental Modelling and Software, Vol. 15, No. 3, 03.2000, p. 293-302.

Research output: Contribution to journalArticle

@article{80e12e1549a1488c8ed1a9abb795b08f,
title = "A GIS-based approach to spatial allocation of area source solvent emissions",
abstract = "Current area source emission inventories estimate total emissions for various industrial, commercial, and consumer activities at the county or higher levels. The lack of emission estimates at subcounty levels severely limits the modeling and planning capabilities in urban and regional air quality management. This paper extends current area source emission inventory methodology by developing a geographical information system (GIS) based approach for allocating county-level emission estimates to subcounty units. The new methodology uses GIS to develop and integrate spatial data, to analyze spatial variations in emissions, and to derive input to cell-based air pollution models. This approach incorporates statistical models to predict the spatial distribution of emission source activities based on widely available data. The paper presents an application of the proposed approach to emission inventory of the adhesives and sealants category in the Sacramento modeling region, California. (C) 2000 Elsevier Science Ltd.",
keywords = "Area source emissions, Geographic information systems, Spatial modeling",
author = "Jian Dai and Rocke, {David M}",
year = "2000",
month = "3",
doi = "10.1016/S1364-8152(00)00004-9",
language = "English (US)",
volume = "15",
pages = "293--302",
journal = "Environmental Modelling and Software",
issn = "1364-8152",
publisher = "Elsevier BV",
number = "3",

}

TY - JOUR

T1 - A GIS-based approach to spatial allocation of area source solvent emissions

AU - Dai, Jian

AU - Rocke, David M

PY - 2000/3

Y1 - 2000/3

N2 - Current area source emission inventories estimate total emissions for various industrial, commercial, and consumer activities at the county or higher levels. The lack of emission estimates at subcounty levels severely limits the modeling and planning capabilities in urban and regional air quality management. This paper extends current area source emission inventory methodology by developing a geographical information system (GIS) based approach for allocating county-level emission estimates to subcounty units. The new methodology uses GIS to develop and integrate spatial data, to analyze spatial variations in emissions, and to derive input to cell-based air pollution models. This approach incorporates statistical models to predict the spatial distribution of emission source activities based on widely available data. The paper presents an application of the proposed approach to emission inventory of the adhesives and sealants category in the Sacramento modeling region, California. (C) 2000 Elsevier Science Ltd.

AB - Current area source emission inventories estimate total emissions for various industrial, commercial, and consumer activities at the county or higher levels. The lack of emission estimates at subcounty levels severely limits the modeling and planning capabilities in urban and regional air quality management. This paper extends current area source emission inventory methodology by developing a geographical information system (GIS) based approach for allocating county-level emission estimates to subcounty units. The new methodology uses GIS to develop and integrate spatial data, to analyze spatial variations in emissions, and to derive input to cell-based air pollution models. This approach incorporates statistical models to predict the spatial distribution of emission source activities based on widely available data. The paper presents an application of the proposed approach to emission inventory of the adhesives and sealants category in the Sacramento modeling region, California. (C) 2000 Elsevier Science Ltd.

KW - Area source emissions

KW - Geographic information systems

KW - Spatial modeling

UR - http://www.scopus.com/inward/record.url?scp=0034045249&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034045249&partnerID=8YFLogxK

U2 - 10.1016/S1364-8152(00)00004-9

DO - 10.1016/S1364-8152(00)00004-9

M3 - Article

VL - 15

SP - 293

EP - 302

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

SN - 1364-8152

IS - 3

ER -