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Ozone detection in the ppb-range with improved stability ...

· When controlling an ozone generator for air or water purification, identification of possible interferents is simple done when the ozone generator is turned off using a LDA projection as in Fig. 13 and nearest neighbor classification. In other applications where the ozone background concentration is to be monitored, identification can either be done when zero (or very low) ozone concentrations are measured during normal operation or using an ozone …

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Statistical Detection of Abnormal Ozone Levels Using ...

statistical detection method that can detect abnormal ozone measurements caused by air pollution or any incoherencies between the different network sensors or any sensor malfunctions. The developed detection method will be applied to ozone data obtained in the Upper Normandy region in France. The complexity of ozone (O 3) formation mechanisms in the troposphere [8], the complexity of ...

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Prediction of tropospheric ozone using artificial neural ...

· Tropospheric ozone (O 3), as an air pollutant is increasing at an alarming rate in urban concentration of ozone is affected by precursor pollutants, such as particulate matter (PM 10, PM ), carbon monoxide (CO), nitrogen dioxide (NO 2), sulfur dioxide (SO 2), carbon dioxide (CO 2), and nitric oxide (NO), and meteorological parameters, such as air temperature (AT), relative ...

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Reliable detection of abnormal ozone measurements using an ...

Reliable detection of abnormal ozone measurements using an air quality sensors network Fouzi Harrou, Member, IEEE, Abdelkader Dairi, Ying Sun, Mohamed Senouci Abstract—Ozone pollution is one of the most important pollutants that have a negative effect on human health and the ecosystem. An effective statistical methodology to detect abnormal ozone measurements is proposed in this study. We ...

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Ozone measurements monitoring using data-based approach ...

· The aim of this study is to apply the proposed PCA-based MEWMA anomaly detection algorithm in order to detect abnormal measurements of ozone, both of anthropogenic origin (pollution peaks caused by human activity) or the result of dysfunction of sensors (anomalies, interference,…). A brief introduction to the principles of PCA, and how it can be used in anomaly detection is presented …

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Mapping and Monitoring Algorithm (FIMMA)

The original FIMMA algorithm was based on the scheme described in the paper "Satellite-based Detection of Canadian Boreal Fires: Development and Application of the Algorithm" by Dr. Zhanqing Li, (et al) of the Univ. of Maryland, modified with the addition of a slightly simplier method for nighttime fire detection. This was basically a threshold algorithm, with additional checks added in ...

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LIDAR Ozone Report

The DIAL algorithm follows basically the theoretical derivation of the ozone number density from the lidar signals. The main steps are the following : The main steps are the following : Temporal signal averaging to increase the signal to noise ratio.

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LIDAR Ozone Report

The lidar (LIght Detection And Ranging) is a remote sensing instrument similar in principle to the radar but operating in the optical range. Depending on the desired measurement, lidar systems use various light-matter interactions such as Rayleigh, Mie and Raman scattering or fluorescence. Measurements of atmospheric ozone, temperature or aerosol are based on the first 3 processes. Generally ...

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Detection of a tropospheric ozone anomaly using a newly ...

Detection of a tropospheric ozone anomaly using a newly developed ozone retrieval algorithm for an up-looking infrared interferometer K. J. Lightner,1,2 W. W. McMillan,1 K. J. McCann,1 R. M. Hoff,1 M. J. Newchurch,3 E. J. Hintsa,4 and C. D. Barnet5 Received 14 April 2008; revised 12 December 2008; accepted 29 December 2008; published 25 March 2009.

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Information Content of Ozone Retrieval Algorithms

The total ozone measurements made by the Dobson spectrophotometer and the Total Ozone Mapping Spectrometer (TOMS) and Solar Backscatter Ultraviolet (SBUV) instruments on Nim-bus-7 are relatively simply related to the total ozone, so that the retrieval error analysis is straightforward. However, the profile measurements made by instruments such as the SBUV are

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An algorithm to detect tropopause folds from ozone soundings

An algorithm to detect tropopause folds from ozone soundings SUSANNE BLONSKY and PETER SPETH, Köln Summary. An algorithm has been developed to determine the occurrence of tropopause folds by an analysis of ozone soundings together with meteorological parameters, especially the potential vorticity. Tropopause folds transfer air and trace gases from the lower stratosphere into the …

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A real-time hourly ozone prediction system using deep ...

· We use a deep convolutional neural network (CNN). We apply this method to predict the hourly ozone concentration on each day for the entire year using several predictors from the previous day, including the wind fields, temperature, relative humidity, pressure, and precipitation, along with in situ ozone and NO2 concentrations. We refer to a history of all observed parameters between 2014 and …

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Detection of Ozone and Nitric Oxide in Decomposition ...

Detection of Ozone and Nitric Oxide in Decomposition Products of Air-Insulated Switchgear Using Ultraviolet Differential Optical Absorption Spectroscopy (UV-DOAS) Appl Spectrosc. 2018 Aug;72(8):1244-1251. doi: /0003702818773091. Epub 2018 May 4. Authors Yalong Li 1 , Xiaoxing Zhang 1 , Xin Li 2 , Zhaolun Cui 1 , Hai Xiao 3 Affiliations 1 1 Department of Electrical …

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Review - Scam Detector

Review. The Scam Detector's algorithm finds having an authoritative rank of means that the business is Active. Mediocre. Common. Our algorithm gave the rank based on 50+ factors relevant to 's niche. From the quality of the customer service in its Communications industry to clients' public feedback and domain authority, we have considered many important ...

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Ozone detection in the ppb-range with improved stability ...

· The feature extraction and concentration prediction algorithm considerably improves reproducibility, yielding valid results also for aged sensors and even when applied to different sensors of the same type reducing the necessity of individual sensor calibration. The combination of low power consumption and simple data processing allows cost-efficient realization of handheld devices or ozone ...

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Detection of a tropospheric ozone anomaly using a newly ...

Ozone retrievals were performed with the Kurt Lightner Ozone BBAERI Retrieval (KLOBBER) algorithm, which retrieves tropospheric column ozone, surface to 300 mbar, from zenith-viewing atmospheric thermal emission spectra. KLOBBER is modeled after the AIRS retrieval algorithm consisting of a synthetic statistical regression followed by a physical ...

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A real-time hourly ozone prediction system using deep ...

· This study uses a deep learning approach to forecast ozone concentrations over Seoul, South Korea for 2017. We use a deep convolutional neural network (CNN). We apply this method to predict the hourly ozone concentration on each day for the entire year using several predictors from the previous day, including the wind fields, temperature, relative humidity, pressure, and precipitation, …

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Solar Backscatter Ultraviolet ... - Ozone and Air Quality

· A second detector, called the cloud cover radiometer, makes measurements of the BUV radiation at 380 nm, with a 3-nm bandpass, coincident with each of these monochromator measurements. The SBUV/2 uses periodic measurements of the sun to provide normalization of the BUV radiances to solar output, and to remove some instrument dependence. The SBUV/2 instruments measure …

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