Disaggregate SO 2 Em issions from National Total to County Level - - PowerPoint PPT Presentation

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Disaggregate SO 2 Em issions from National Total to County Level - - PowerPoint PPT Presentation

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Disaggregate SO 2 Em issions from National Total to County Level Distributions Xiulian HU, Hongwei YANG Energy Research Institute Prepared for the 5th AIM International Workshop March 24-25, 2000 1 1 . I ntroduction LPS data are based

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Disaggregate SO2 Em issions from National Total to County Level Distributions

Xiulian HU, Hongwei YANG Energy Research Institute

Prepared for the 5th AIM International Workshop March 24-25, 2000

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1 . I ntroduction

  • LPS data are based on ERI’s LPS database
  • X. HU, Project Report, 1998, 1999
  • Published statistical materials
  • State Statistical Year Books
  • State Environmental Statistical Yearbooks
  • Energy Statistical Year Books
  • Transport Statistical Year Books
  • Urban Statistical Yearbooks
  • Economic Statistics for Rural Regions
  • Provincial Statistical Year Books
  • etc.
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2 . Structure

The disaggregates consist two hierarchies:

  • From national total to provincial level
  • From Provincial level to county level
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2 . Structure

LPS: location (county level) Area Sources:

AS Total Residential

National Provincial

( 3 2 )

Transport Industrial & others

County Level

( 2 1 3 5 )

Residential Transport Industrial & others

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2 . Structure

  • National:

Total = LPS + AS Total = I ndustrial + Non-Industrial

  • Provincial:

Total = LPS + AS AS = Residential + Transport + Industrial&others

  • County: (2135 = 1693 + 442)

Total = LPS + AS AS = Residential + Transport + Industrial&others

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3 . Methodology

3.1 National --> Provincial (1) Provincial Total

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3 . Methodology

(2) Provincial AS

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3 . Methodology

3.2 Provincial --> county: Disaggregate AS (1) Residential: Further classification at provincial level

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3 . Methodology

(1) Residential: to county level

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3 . Methodology

(2) Transport

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3 . Methodology

(3) Industrial & others Statistics of economic outputs of LPS enterprises in a county are independent from the county’s statistics, as the ownership is outside the county.

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3 . Methodology

3.3 Disaggregate result To summarize, SO2 emissions in a county can be

  • btained from the above disaggregates:
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The Application of I DRI SI -3 2 System to I nventory Study

Hongwei YANG Energy Research Institute Prepared for the 5th AIM International Workshop March 24-25, 2000

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I . System I ntroduction

  • GIS + Image Processing
  • Raster image layers and vector layers
  • Raster: a fine matrix of cells

(spatially continuous data)

  • Vector: a set of points

(distinct features:location, boundary,etc.)

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I . System I ntroduction

  • Idrisi32 Overview:

Main interface program (menu, tool bar system) + 200 program modules (input, display, analysis)

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I I . System Requirem ents

  • Pentium-based PC (Pentium II or III recommended)

running Windows NT, 2000, 95 or 98.

  • A minimum display size of 800x600 SVGA resolution

is needed, although 1024 x 768 or more with 64,000 colors is recommended.

  • Requires a minimum of 16MB RAM, but 32 or greater

is recommended.

  • Program requires 75MB hard disk space. Hard disk

requirements for data will depend on individual projects.

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I I I . Steps

  • 1. Prepare input database: MS Access Tables
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  • 2. Set default working directory: File = = > Data Paths
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  • 3. Input Data: Data Entry ==> Database Workshop

==> File ==>Open

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  • 4. Collect Data: Data Entry ==> Collection Editor ==>

File ==>New

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  • 5. Launch the Image: Display ==> Display Launcher
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I V. Vector Files

  • Vector files represent the distinct features of a

specific place or region.

  • Vector files are suitable for inventory studies.
  • Idrisi32 supports 4 kind of vector files:
  • 1. Point files
  • 2. Line files
  • 3. Polygon files
  • 4. Text files
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I V. Vector Files

  • 1. Point Files: to represent features for which only the

location (as a single point location designation) is of

  • importance. As an example, each LPS can be represented

by a point.

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I V. Vector Files

  • 2. Polygon Files: to describe area features such as forest stands
  • r census tracts. Area source emissions and total SO2 emissions

in a region are of area features and can be represented by polygon files.

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I V. Vector Files

  • 3. Text Files: to represent text captions that can be displayed

as a layer on a map. As an example, county names are displayed in each region.

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I V. Vector Files

  • 3. Text files
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I V. Vector Files

  • 4. Line files: to describe linear features such as rivers and roads.
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  • V. China’s I nventory Maps
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VI . Follow -up Studies

  • Combine SO2 control with CO2 abatement

AI M

Technology Database CO2 Em issions Energy Consum ption CO2 Abatem ent SO2 Control

Applications:

  • CDM
  • Local Environm ent I ssues
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