1. Prof. M.R.Ezhilkumar
Assistant Professor
Department of Civil Engineering
Sri Krishna College of Engineering and Technology
Coimbatore
ezhilkumar@skcet.ac.in
I only feel angry when I see waste.
When I see people throwing away things
we could use. – Mother Teresa
1
17CE413
SOLID AND HAZARDOUS
WASTE MANAGEMENT
1.4 – Sampling Protocols
2. SHWM – Module 1 – Characteristics and Sources of Municipal Solid Wastes Mr.M.R.Ezhilkumar 2
Purpose of sampling
Sampling methods
Characteristics of sampling
Factors affecting the sampling characterization
1.4 – Sampling Protocols
Learning Outcomes
3. SHWM – Module 1 – Characteristics and Sources of Municipal Solid Wastes Mr.M.R.Ezhilkumar 3
Video Session 1
4. SHWM – Module 1 – Characteristics and Sources of Municipal Solid Wastes Mr.M.R.Ezhilkumar 4
Video Session 2
5. SHWM – Module 1 – Characteristics and Sources of Municipal Solid Wastes Mr.M.R.Ezhilkumar 5
Purpose of sampling
Sampling is Regarded as representative
if the actual substance relations are evaluated,
Correct: The estimation is given with the demanded
accuracy and no systematic errors have been committed.
Reproducible: The statement guarantees for equivalent
results under comparable conditions.
Reliable: The targets are achieved at an acceptable risk
(for instance economic efforts, probability the required
accuracy of the results, consequences of wrong
decisions).
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Sampling methods
Sampling Protocols
MSW consists of a range of materials that vary in composition depending on,
1. The community and its consumers’ income and lifestyle
2. Degree of industrialization
3. Institutionalization
4. Commercialism
Based on these variables, several protocols can be adopted to estimate the
MSW composition for location.
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Sampling methods
Sampling Protocols
In order to compile accurate data, several issues must be addressed,
How to obtain the representative samples of the MSW?
What is the desired sample size?
How many samples are needed to achieve a desired
level of accuracy?
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Sampling methods
Sampling Protocols
1. Direct sampling
2. Material flow
3. Surveys
4. Multipliers for projecting waste quantities
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Sampling methods
Sampling Protocols
1. Direct sampling
Useful on a small scale data collection about MSW composition
Involves physical sampling and sorting of MSW at the source of generation
One of the more accurate characterisation method
To achieve accuracy, samples must be collected randomly from several locations
within the community
Sampling from Single & Multifamily homes, Commercial and institutional
establishments is encouraged as they act as a local variant inputs to the MSW.
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Sampling methods
Sampling Protocols
1. Direct sampling
Other way of direct sampling is studying its characteristics after the MSW arrives
the central collection point (Transfer station or Disposal facility)
ASTM D5231-92 recommends the sample size of 91-136kg from manual sorting
One drawback about this methods is due to the occurrence of unexpected
circumstances mislead to the data error
Delivery of infrequent and exotic waste
Combined wet & dry waste
Error in sampling methods
Expensive when adopted for estimating on a national scale
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Sampling methods
Sampling Protocols
2. Material Flow
Another approach of estimation on the waste composition
Useful for estimating waste stream composition and trends on a regional basis
EPA uses for the data compilation on waste data for the USA
The methodology is based on material production data and products in the waste
stream
For a municipality, the material input and output is recorded and compared
This is an over simplified method unless proper database is made available in all
process
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Sampling methods
Sampling Protocols
3. Surveys
Through this method, questionnaires are distributed to generators of waste
Most applicable to generators of commercial and industrial wastes and not for
domestic sources
The questionnaire contains an explicit details concerning the quantity and
composition of waste generated
But still this method is difficult due to the concerns over the release of company
and proprietary information
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Sampling methods
Components of a sampling program
The Following defines the Overall objective of the sampling,
1) Selection of parameters
2) Selection of sampling location
3) Time & Frequency of sampling
4) Mode of sampling
5) Selection of sampling equipment
6) Sample Handling & Preservation
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Characteristics of sampling
Sampling process
Have Representative samples
Greater the number of samples more the accuracy
Greater the variation, more should be the samples
Continue Sample for a week (8 days)
Sampling location: Mostly at MSW Facility and not at the Place of generation
(expensive and less valid)
Cover as many different sectors of the target area as possible
Selecting samples : Every nth truck/every nth ton of waste /a truck every nth
minutes; Random sampling (crew may be idle/work over time)
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Characteristics of sampling
Sampling procedure
Vehicle Unloading
Sample Selection and Retrieval
Container Preparation
Sample Placement
Sorting
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Characteristics of sampling
Sampling Collection
► Sample size (100 kg)
► Sampling method
o Coning and quartering
• Reduces variation among samples
• More Sampling time/space
• Need for a front end loader
• Increases sorting time and promotes loss of moisture
• Waste stratification
• Random Grab sample & Composite sample
► Number of samples
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Factors influencing the waste characters during sampling
Variability affecting waste sampling
1. Seasonal
2. Regional
3. Household
4. National Economy
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Factors influencing the waste characters during sampling
Variability affecting waste sampling
1. Seasonal
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Factors influencing the waste characters during sampling
Variability affecting waste sampling
2. Regional
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Factors influencing the waste characters during sampling
Variability affecting waste sampling
3. Household
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Factors influencing the waste characters during sampling
Variability affecting waste sampling
4. National Economy
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Assessment Time
Review
Question Suggest a sampling protocol for a bio-medical waste for a
proper estimation and quantification of waste composition.
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