Determining odour emission factor from unorganized sources Szczecin University of Technology Laboratory for Odour Quality of the Air in frames of a master.

Slides:



Advertisements
Similar presentations
Sampling techniques as applied to environmental and earth sciences
Advertisements

Course assessment: Setting and Grading Tests and Examinations By Dr C. Bangira Chinhoyi University of Technology Organized by the Academy of Teaching and.
Odour offensiveness of a mink farm Dependence of annoyance spread on the size of a farm Milena Połeć Part of a master thesis carried out in the Laboratory.
Sampling Teaching Research Methods: Resources for HE Social Sciences Practitioners.
C81MPR Practical Methods (Lab 2) Collecting Data Dr. Danielle Ropar & Dr. Jonathan Stirk.
Analysis of frequency counts with Chi square
Normal Distributions (2). OBJECTIVES –Revise the characteristics of the normal probability distribution; –Use the normal distribution tables (revision);
Section 8.2 Estimating a Population Proportion
Unit 4: Monitoring Data Quality For HIV Case Surveillance Systems #6-0-1.
Descriptive Statistics: Part One Farrokh Alemi Ph.D. Kashif Haqqi M.D.
Energy Audit- a small introduction A presentation by Pune Power Development Pvt. Ltd.
Mean, Median & Mode Dana Quinones EDU Table of Contents Objective WV Content Standards Guiding Questions Materials Vocabulary Introduction Procedure.
Review Session Monday, November 8 Shantz 242 E (the usual place) 5:00-7:00 PM I’ll answer questions on my material, then Chad will answer questions on.
Review of normal distribution. Exercise Solution.
Basics of Conducting Focus Groups Applied Research Focus groups are a powerful means to evaluate services or test new ideas. Basically, focus groups are.
1 Work Sampling Can provide information about men and machines in less time and lower cost. It has three main uses: 1.Activity and delay sampling To measure.
Life Cycle Assessment of Organic Waste: Application and Relevance to New Zealand Simon Love.
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 8.1.
Audit of Public Procurement
RESEARCH METHODS Lecture 44. REPORT WRITING Every report is custom-made, yet some conventions of format. Many companies and universities also have in-house,
Tutor: Prof. A. Taleb-Bendiab Contact: Telephone: +44 (0) CMPDLLM002 Research Methods Lecture 9: Quantitative.
EFFECTIVE JULY 1 st, 2011 Winter INTEGRATIVE PROJECT.
To many people, accuracy and precision mean the same thing: to someone involved in measurement, the two terms should have very different meanings. Accuracy.
Decimals.
1 Technical & Business Writing (ENG-315) Muhammad Bilal Bashir UIIT, Rawalpindi.
Introduction to Fundamental Physics Laboratory Lecture I Dr. Yongkang Le March 5 th, 2010
Basic Statistics for Engineers. Collection, presentation, interpretation and decision making. Prof. Dudley S. Finch.
Advanced Higher Physics Investigation Report. Hello, and welcome to Advanced Higher Physics Investigation Presentation.
Population and Sampling
European Conference on Quality in Official Statistics Session 26: Quality Issues in Census « Rome, 10 July 2008 « Quality Assurance and Control Programme.
Evaluation Plan New Jobs “How to Get New Jobs? Innovative Guidance and Counselling 2 nd Meeting Liverpool | 3 – 4 February L Research Institute Roula.
Measures of central tendency are statistics that express the most typical or average scores in a distribution These measures are: The Mode The Median.
Uncertainty and Error in Measurement (IB text - Ch 11) (If reviewing this slide in the senior year, there is also uncertainty information in the AP text.
Simulation Using computers to simulate real- world observations.
Understanding Your Data Set Statistics are used to describe data sets Gives us a metric in place of a graph What are some types of statistics used to describe.
ICCS 2009 IDB Workshop, 18 th February 2010, Madrid 1 Training Workshop on the ICCS 2009 database Weighting and Variance Estimation picture.
Comparison of extrapolation method and a method of dynamic dilutions with Nasal Ranger Field Olfactometer as two methods of odour concentration determination.
Resource groups. © beas group 2011 / Page 2 This documentation and training is provided to you by beas group AG. The documents are neither approved nor.
1 Presented by Sarbagya Buddhacharya. 2 Increasing bandwidth demand in telecommunication networks is satisfied by WDM networks. Dimensioning of WDM networks.
Bangor Transfer Abroad Programme Marketing Research SAMPLING (Zikmund, Chapter 12)
What is project management?
Syndicate and its Impact on the Development of Russian Coal Mining Industry. The Late 19th – Early 20th Century. Methods of Analysis and Results Tamara.
Sampling Presented by: Dr. Amira Yahia INTRODUCTION It might be impossible to investigate everybody in a population.Thus, you need to select a sample.
Measurements and Their Analysis. Introduction Note that in this chapter, we are talking about multiple measurements of the same quantity Numerical analysis.
Lecture №4 METHODS OF RESEARCH. Method (Greek. methodos) - way of knowledge, the study of natural phenomena and social life. It is also a set of methods.
Chapter 7 Inference Concerning Populations (Numeric Responses)
AWAST final meeting - Brussels december 2003 Aid in the management and European comparison of Municipal Solid WASte Treatment methods for a global.
UNCERTAINTY OF MEASUREMENT Andrew Pascall Technical Director Integral Laboratories (Pty) Ltd
MEASURE OF CENTRAL TENDENCY. INTRODUCTION: IN STATISTICS, A CENTRAL TENDENCY IS A CENTRAL VALUE OR A TYPICAL VALUE FOR A PROBABILITY DISTRIBUTION. IT.
Light Touch Calculator Growth that doesn’t cost the earth Emma Hutchinson This webinar is designed to introduce you to the Resource Efficient Scotland.
2.3 Uses of Percentages in Statistics
Research Skills.
Cheryl Ng Ling Hui Hee Jee Mei, Ph.D Universiti Teknologi Malaysia
New Orientations in Evaluation and Reporting
VAR Preparation Meeting
SOCIAL NETWORK AS A VENUE OF PARTICIPATION AND SHARING AMONG TEENAGERS
RESEARCH METHODS Lecture 44
Experiment to determine the value of g
Warm Up Grab and complete the “Properties of Exponents WITH FRACTIONS!” worksheet from the front. Staple it to your warm up sheet. 10 minutes Circulate.
SAMPLING (Zikmund, Chapter 12.
Real Driving Emission A proposal for a realistic temperature range Bart Degraeuwe 17 November 2018.
2.3 Uses of Percentages in Statistics
Data types and representation
Laws of Indices Given by Ms Sheema For Class 8.
SAMPLING (Zikmund, Chapter 12).
Improving information exchange:
The Title of the Bachelor’s Thesis
Sampling Presented By Miss. Amunekar Shubhangi Mahadev.
Sampling and estimation
Compliance for statistics
Presentation transcript:

Determining odour emission factor from unorganized sources Szczecin University of Technology Laboratory for Odour Quality of the Air in frames of a master thesis executed under direction of prof. dr hab. inż. Joanny Kośmider Jacek Zdyb

1. 1.The subject of the master thesis, its aim and scope 2. 2.Introduction 3. Methodology of calculation the emission factor 3.1. Carrying out the field research 3.2. Analysis of the results 3.3. Determining the emission factor 4. 4.Results 5. Summary Table of contents

The subject of my thesis is determining the annoyance of a mink farm using the estimated emission factors obtained by field research of ground concentration. The aim of this research is to improve a method of determining the emission factor for an area unit from unorganized sources, e.g.: MSW landfills, animal farms, sewage treatment plant or compost deposits. The scope of this study includes : - participation in the field research on intensity of the odour - analysis of the obtained data - number of odour units calculation - determination of the emission factor considering the calculated values and taking into account terrain and weather conditions. 1. The subject of the master thesis, its aim and scope

The EN 13725, „ Air quality – Determination of odour concentration by dynamic olfactometry” binding from 2003, defines well only the method of determining emission factor from organized point sources. In case of determining emission factor from unorganized sources, it is recommended to conduct research on determining methods as soon as possible. 2. Introduction

Therefore the following relation is assumed: In the field research 60 minutes – the usual interval of time used to mark the odour unit number - is not reliable due to changeability of conditions. For that reason 5 seconds was considered the optimal interval of time within which averagely 2 or 3 inhales are made. That is why the following conversion factor was used: 2. Introduction

The farm is located in an immediate vicinity of a small village, wood and meadow. The basic herd was 4.5 thousand minks, and the full herd as many as 33 thousand. The measurements were carried out during the whole breeding cycle on a full herd and were conducted from June to November. Localization and surroundings of the minks farm 3. Methodology of calculation the emission factor 3. 1 Carrying out the field research

Arrangement of an odour panel (5 people: a, b, c, d, e) in terrain: 3. Methodology of calculation the emission factor Carrying out the field research

One measurement took 5 minutes. This period was divided into 15 second stages, during which the group of 5 evaluated the intensity of the odour. Each of the researchers noted systematically their results on the introduced sheet designed to evaluate the intensity of the odour, as presented on the present slide. Date and hour of the measurement were noted down, as well as number of the measuring spot. Additionally, one’s position oriented by the farm was also registered. 3. Methodology of calculation the emission factor Carrying out the field research

Completed cards from one model measurement and a collective answer sheet based on them 3. Methodology of calculation the emission factor 3.2. Analysis of the results

Calculation procedure for our model measurement Because the obtained values express concentration of odorants, that are 10 times higher than real, were converted accordingly to the formula. The obtained values are equal to the average number of odour units for 60 minutes. 3. Methodology of calculation the emission factor 3.2. Analysis of the results

Results of odour dispersion backward modelling Counted emission of the source: 3. Methodology of calculation the emission factor

Counted emission of the source: Results of odour dispersion backward modelling 3. Methodology of calculation the emission factor

Counted emission of the source: Results of odour dispersion backward modelling 3. Methodology of calculation the emission factor

This is how we calculated emission for all measurements made that day and converted per 1000 mink, thus obtaining emission factor. Finally, emission indices were converted to Gou by multiplying emission index by 0,03. For our model measurement emission factor equals : Emission results converted per thousand minks P 1/ ou/s = 1.6 Gou/year P 1/ ou/s = 4.0 Gou/year P 2/ ou/s = 6.7 Gou/year P 2/ ou/s = 6.7 Gou/year P 3/ ou/s = 4.4 Gou/year P 3/ ou/s = 4.4 Gou/year P 3/ ou/s = 1.8 Gou/year P 4/ ou/s = 8.3 Gou/year P 4/ ou/s = 8.3 Gou/year P 5/ ou/s = 2.0 Gou/year P 5/ ou/s = 1.5 Gou/year P 6/ ou/s = 7.1 Gou/year P 6/ ou/s = 13.4 Gou/year P 7/ ou/s = 17.7 Gou/year P 7/ ou/s = 4.0 Gou/year P 8/ ou/s = 6.7 Gou/year P 8/ ou/s = 2.6 Gou/year 3.3. Determining the emission factor 3. Methodology of calculation the emission factor

Median = Average = Results Schedules of results of measurement – F q,od [Gou/year]

% of the obtained emission factor values lie within the range of 2.7 Gou/year to 7.1 Gou/year. 2. The presented method of determining emission factor from unorganized sources is defined by good and credible dispersion results for sensorial methods. Diversity of odour perception of the odour panel has a minor impact on the results. 3. Noticeable scatters of the results would have been probably be less distinctive, if the odour panel had been selected according to the binding European regulation, and in the final phase of measurements the rule of retrospective screening members of the odour panel had been applied to. 5. Summary

Thank you for your attenntion.