Characteristics and Applications of Small, Portable Gaseous Air Pollution Monitors
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Statistical Gas Distribution Modelling for Mobile Robot Applications
Statistical Gas Distribution Modelling for Mobile Robot Applications Örebro Studies in Technology 62 MATTEO REGGENTE Statistical Gas Distribution Modelling for Mobile Robot Applications © Matteo Reggente, 2014 Title: Statistical Gas Distribution Modelling for Mobile Robot Applications Publisher: Örebro University 2014 www.oru.se/publikationer-avhandlingar Print: Örebro University, Repro 08/14 ISSN 1650-8580 ISBN 978-91-7529-034-8 Abstract Matteo Reggente (2014): Statistical Gas Distribution Modelling for Mobile Robot Applications. Örebro Studies in Technology 62. In this dissertation, we present and evaluate algorithms for statistical gas distri- bution modelling in mobile robot applications. We derive a representation of the gas distribution in natural environments using gas measurements collected with mobile robots. The algorithms fuse different sensors readings (gas, wind and loca- tion) to create 2D or 3D maps. AbstractThroughout this thesis, the Kernel DM+V algorithm plays a central role in modelling the gas distribution. The key idea is the spatial extrapolation of the gas measurement using a Gaussian kernel. The algorithm produces four maps: the weight map shows the density of the measurements; the confidence map shows Inare thisas thesis,in which we the present model and is considered evaluate algorithms being trust forful; statistical the mean gas map distribution represents the modellingmodelled ingas mobile distribu robotstion; applications.the variance map We deriverepresent a representations the spatial structure of the ob- -
Pollutionpi: an Indicative Air Quality Index Compatible Raspberry Pi Powered Air Quality Station Project Proposal
PollutionPi: An Indicative Air Quality Index Compatible Raspberry Pi Powered Air Quality Station Project Proposal Dale Giancono Green Machine CPI Fondacija March 9, 2018 1 Contents 1 Design Problem 3 2 Research 5 2.1 Air Pollution in Bosnia and Herzegovina . .5 2.1.1 Tuzla . .5 2.1.2 Zenica . .5 2.1.3 Sarajevo . .5 2.1.4 The Emergency District Heating Reconstruction Project9 2.1.5 Current Causes of Air Pollution in Sarajevo . 10 2.1.6 Current Air Pollution Levels in Sarajevo . 12 2.2 Existing Open Source Air Pollution Sensors . 20 2.3 Existing Open Source Air Pollution Projects . 20 2.3.1 The Village Green Project . 20 2.4 Air Quality Indices . 22 2.4.1 The Air Quality Index (AQI) . 23 2.4.2 The European Air Quality Index (EAQI) . 25 3 Proposed Design 26 3.1 Sensors . 27 3.2 Construction . 28 3.3 Design Performance Criteria . 28 3.4 Project Schedule . 28 3.5 Overall Project Expectations . 29 A Appendix 30 A.0.1 Calculating an AQI . 30 A.0.2 Required Information for Reporting AQI . 31 A.0.3 Bosnia and Herzegovina Air Pollution Targets in 2016 . 34 2 1 Design Problem Bosnia and Herzegovina is one of the most polluted countries in the world. According to the World Health Organization, it has one of the highest fine particle concentrations in urban areas within Europe. It is due to this that the health of the population suffers, with mortality rates due to air pollution among the highest in Europe. [1][2] Bosnia and Herzegovina lacks sufficient historic and current data regard- ing air pollution and the existing data is not properly distributed in a way that individuals and organisations can access it. -
Making the Invisible Visible: a Guide for Mapping Hyperlocal Air Pollution to Drive Clean Air Action
Making the invisible visible: A guide for mapping hyperlocal air pollution to drive clean air action Table of contents EXECUTIVE SUMMARY .....................................................................1 PART 1: GETTING STARTED ............................................................5 1. Understanding your city’s air quality challenges and opportunities ...................................................5 2. Exploring tools to measure and map hyperlocal air pollution ...................................................11 PART 2: NUTS & BOLTS ..................................................................13 1. Designing a hyperlocal air monitoring network .....................13 2. Ready, set, go: Turning on and maintaining your network .......................................................28 3. Making sense of the data .......................................................40 PART 3: DATA TO ACTION ..............................................................45 1. Using air pollution data to develop and implement clean air solutions .........................................45 2. Building awareness and encouraging community engagement and support ...................................49 3. Measuring success and maintaining momentum ..................53 LIST OF EDF RESOURCES .............................................................54 Edition 1: October 2019 (this guide will be reviewed and updated periodically) Contributing authors Acknowledgement Elena Craft, Ph.D. We would like to thank the many partners and EDF, Senior Director, -
Real-Time Air Quality Measurements Using Mobile Platforms
REAL-TIME AIR QUALITY MEASUREMENTS USING MOBILE PLATFORMS BY PARVEEN SEVUSU A thesis submitted to the Graduate School—New Brunswick Rutgers, the State University of New Jersey In partial fulfillment of the requirements For the degree of Master of Science Graduate Program in Computer Science Written under the direction of Liviu Iftode And approved by New Brunswick, New Jersey Jan, 2015 ABSTRACT OF THE THESIS Real-time Air Quality Measurements Using Mobile Platforms By PARVEEN SEVUSU Thesis Director: Liviu Iftode Air pollution poses a serious threat to our health and quality of life. Measuring pollution in the air we breathe and sharing the results with our peers is an important step in increasing social awareness for creating a clean environment. Usually, pollution measurements are conducted using expensive monitors at fixed locations. These measurements fail to provide accurate real-time pollution information in most of the highly polluted roads. It is desirable to have access to real time fine-grained measurements to be able to quickly analyze and identify alarming levels of pollutants. Pervasiveness of smart phones with internet connectivity and increased availability of personal air quality sensors provide a unique opportunity to develop air pollution conscious community of users for collecting and sharing real time air pollution data. In this thesis, we propose air quality monitoring through mobile sensors, which are low-power, low-cost, designed to sample air pollutants such as carbon mono-oxide, nitrogen oxide, sulphur dioxide, environmental temperature, humidity and air pressure and communicate via Bluetooth with a smartphone. We built an iOS mobile application that makes use of location services available on the mobile phones, to record GPS co-ordinates along with air pollution readings. -
Webiopatr2017 Particulate Matter
WeBIOPATR2017 1 Particulate Matter: Research and Management Proceedings from the 6th WeBIOPATR Workshop & Conference Belgrade, Serbia 6.-8.9.2017 Milena Jovašević-Stojanović and Alena Bartoňová, eds. Belgrade 2019 Milena Jovašević-Stojanović and Alena Bartoňová, eds. Belgrade 2016. The 6thWeBIOPATR Workshop and Conference, Particulate Matter: Research and Management, WEBIOPATR2017 is organized by: Vinča Institute of Nuclear Sciences, Serbia Public Health Institute of Belgrade, Serbia NILU Norwegian Institute for Air Research, Norway The 6thWeBIOPATR Workshop and Conference, Particulate Matter: Research and Management, WeBIOPATR2017 is supported by: Ministry of Education, Science and Technological Development of Republic of Serbia PROCEEDINGS The Sixth International WeBIOPATR Workshop & Conference Particulate Matter: Research and Management WeBIOPATR2017 6 - 8 September 2017 Belgrade, Serbia Editors Milena Jovašević-Stojanović Alena Bartoňová Publisher Vinča Institute of Nuclear Sciences Dr Zlatko Rakočević, Director P.O. Box 522 11001 Belgrade, Serbia Printed by Vinča Institute of Nuclear Sciences Number of copies 150 ISBN: 978-86-7306-152-8 Vinča Institute of Nuclear Sciences www.vin.bg.ac.rs SCIENTIFIC COMMITTEE ORGANIZING COMMITTEE Dr Alena Bartoňová, Norway Vinča Institute of Nuclear Sciences, Belgrade: Serbia Dr Dragan Alavantić, Serbia Dr Bojan Radak, Serbia MS Ivan Lazović, Serbia Prof. Dr David Broday, Israel MS Maja Jovanović, Serbia (Secretary) Dr Milena Jovašević-Stojanović (Co-chair) Dr Med Elizabeta Paunović, Germany Dr Miloš Davidović, Serbia (Secretary) Dr Snežana Pašalić, Serbia Dr Maria Cruiz Min, Spain NILU - Norwegian Institute for Air Research, Kjeller Dr Milena Jovašević-Stojanović, Serbia Dr Alena Bartoňová, Norway (Co-chair) Prof. Dr Nenad Živković, Serbia Public Health Institute of Belgrade, Belgrade Dr Anka Cvetković, Serbia Prof.