An evaluation tool kit of air quality micro-sensing units
Autor: | Alexander Arpaci, Alena Bartonova, Uri Lerner, Tania Martinez Iñiguez, Nuria Castell, Karen S. Galea, Vlasta Svecova, Roderic L. Jones, Milena Jovasevic-Stojanovic, Tom Cole-Hunter, Ayelet Baram-Tsabari, Tamar Yacobi, Dušan B. Topalović, Yael Etzion, David Kocman, Olalekan A.M. Popoola, Barak Fishbain, Milena Horvat, Yaela N. Golumbic, Dana Drahler, Fadi Kizel, David M. Broday, Johanna Amalia Robinson, Mark J. Nieuwenhuijsen |
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Přispěvatelé: | Popoola, Olalekan [0000-0003-2390-8436], Jones, Roderic [0000-0002-6761-3966], Apollo - University of Cambridge Repository |
Rok vydání: | 2017 |
Předmět: |
Engineering
Environmental Engineering 010504 meteorology & atmospheric sciences Real-time computing Micro sensing units 010501 environmental sciences 01 natural sciences Field (computer science) Set (abstract data type) Cross-platform Citizen science Environmental Chemistry Wireless distributed sensor network Waste Management and Disposal Reliability (statistics) 0105 earth and related environmental sciences business.industry Scale (chemistry) Electrical engineering Environmental monitoring Usability Sensors performance Pollution Toolbox Air quality business |
Zdroj: | Science of the Total Environment |
ISSN: | 0048-9697 |
Popis: | Recent developments in sensory and communication technologies have made the development of portable air-quality (AQ) micro-sensing units (MSUs) feasible. These MSUs allow AQ measurements in many new applications, such as ambulatory exposure analyses and citizen science. Typically, the performance of these devices is assessed using the mean error or correlation coefficients with respect to a laboratory equipment. However, these criteria do not represent how such sensors perform outside of laboratory conditions in large-scale field applications, and do not cover all aspects of possible differences in performance between the sensor-based and standardized equipment, or changes in performance over time. This paper presents a comprehensive Sensor Evaluation Toolbox (SET) for evaluating AQ MSUs by a range of criteria, to better assess their performance in varied applications and environments. Within the SET are included four new schemes for evaluating sensors capability to: locate pollution sources; represent the pollution level on a coarse scale; capture the high temporal variability of the observed pollutant and their reliability. Each of the evaluation criteria allows for assessing sensors performance in a different way, together constituting a holistic evaluation of the suitability and usability of the sensors in a wide range of applications. Application of the SET on measurements acquired by 25MSUs deployed in eight cities across Europe showed that the suggested schemes facilitates a comprehensive cross platform analysis that can be used to determine and compare the sensors performance. The SET was implemented in R and the code is available on the first authors website. (C) 2016 Elsevier B.V. All rights reserved. |
Databáze: | OpenAIRE |
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