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City of Sunnyvale Waste Characterization Report

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<strong>City</strong> <strong>of</strong> <strong>Sunnyvale</strong> <strong>Waste</strong> <strong>Characterization</strong> <strong>Report</strong><br />

Step 2: Note which material classes and materials are present. The visual estimator walks<br />

entirely around the load and indicates on the visual sample form which materials and material<br />

classes are present in the load. The ten material classes are Paper, Glass, Metal, Electronics,<br />

Plastic, Other Organics, Construction and Demolition, Household Hazardous <strong>Waste</strong>, Special<br />

<strong>Waste</strong> and Mixed Residue. An example <strong>of</strong> a material in the Paper material class is newspaper.<br />

Step 3: Estimate composition by volume for each material class. Beginning with the largest<br />

material class present by volume, the visual estimator then estimates the volumetric percentage<br />

<strong>of</strong> this material class and records it on the form. This process is repeated for the next most<br />

common material class, and so forth, until the volume percentage <strong>of</strong> every material class has<br />

been estimated. The estimator then calculates the total for this step, ensuring that it totals 100<br />

percent.<br />

Step 4: Estimate composition by volume for each material within each material class. The<br />

visual estimator considers each material class separately and estimates the percentage <strong>of</strong> that<br />

material class that is made up <strong>of</strong> each material. For example, the Metal material class includes<br />

the following materials:<br />

— Aluminum Cans<br />

— Tin/Steel Cans<br />

— Other Nonferrous<br />

— Ferrous Metals<br />

The sum <strong>of</strong> the percentages for all <strong>of</strong> the materials in each material class must equal 100<br />

percent. This process will be repeated for the other material classes.<br />

Step 5: Check and reconcile percentage data. The visual estimator then makes sure the<br />

percentage estimates for the material classes add up to 100 percent. Also, the percentage<br />

estimates for the materials within each class must total 100 percent.<br />

_ 70 November 2010

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