A STUDY IN CHICAGO RECYCLING SYSTEM

by Soledad Hernandez & Pinar Dursun

Problem

The millions of tons of waste disposed of into our environment every year. As urban growth continues to take hold in many cities, our levels of all types of waste, combined with the problems created when it comes to disposing of them, are constantly increasing. In front of this situation, an efficient management waste system can solve a basic problem in the cities.

Chicago generates 7,299,174 tons of waste every year and residents recycle just more than 200,000 tons of materials per year.

Chicago has two recycling systems: Blue Cart and Drop-off

The goals

The aim of this project is to analysis how is the recycling system en Chicago

Examining the effectiveness of Chicago Recycling System.

How the recycling system of Chicago can be improved?

Recycling amount distribution by location.

Correlation between recycling amount and demographical information.

Process

After preparing the spreadsheets of the data and uploading them in iituim server database via PostgreSQL software as tables, shape files were imported to QGIS software where the contacts between the amounts and locations were made. Thus, equations for analysis were created.

Maps

Conclusion

22 wards have neither drop-off center nor blue cart system. 1,186,364 people living in this wards without any recycling service.

It is obvious that blue cart system is more efficient than drop-off centers due to its easiness. Travelling miles to throw the recyclables into the drop-off center instead of putting them into the blue cart in front of their house is a dissuasive effect for the people who do not live in blue cart covered neighborhoods.

It also seems like the people living in the north neighborhoods are more eager to recycle. Northwards can be proposed for the location of blue cart area future expansion.

For complete presentation with all the maps: RECYCLING 5.4.12

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Case Study: Noise Maps

A noise map is a graphic representation of the sound level distribution. Noise maps are used for calculating the areas affected by noise, determining the number of sensitive buildings affected by high noise levels, getting noise prediction models. The spatial database and spatial analyzing tools of GIS is useful to monitor the effect of noise and its impact.

European Union Member States are required to produce strategic noise maps in their main cities.

What are the necessities for a noise map?

3D city model of the area

Software packages: ARCVIEW/GIS, (ArcMap, Spatial analyst, 3D analyst, and ArcScene extension), standard noise calculation software, Point Cloud Mapper (PCM), FIELDS

The steps for 3D noise maps:

Step 1: Collection of data

Step 2: Building 3D city model, extracting and organizing the data about the objects of the 3D city model for noise calculation.

Step 3: Generating the 3D noise observation points and building 3D noise model.

These observation points represent location of virtual microphones where the noise levels are to be calculated. The acoustic indicators can be determined by computation or measurement methods. However, computation methods are widely preferred. Noise levels are calculated at each observation point by using noise calculation software.

When results are obtained, spatial interpolation was applied to give a continuous graphical representation of sound levels by using GIS tools.

3D noise map shows the volumetric view of noise levels on the road surface of study area.

These are the 3D noise map and noise contours of the Delft. Inhabitants on lower floors are more affected than on upper floors.

The size and position of noise barriers can be decided most optionally using 3D noise models. Higher barriers located close to the road are more effective to prevent the noise.

For more information about noise maps:

http://www.navcon.com/citynoisemap.htm

For Delft noise map:

http://www.gem-msc.org/Academic%20Output/Kurakula%20Vinay.pdf

For Paris noise map:

http://www.v1.paris.fr/commun/v2asp/fr/environnement/bruit/carto_jour_nuit/cartobruit.h