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environmental odour monitoring

However, gaps to be improved in terms of accuracy in deciphering information, especially in the implementation of the mathematical model, are still being researched, especially in environmental odour monitoring applications.

Environmental Odour Quantification by IOMS: Parametric vs. Non-Parametric Prediction Techniques

environmental odour monitoring

This paper described the production of TiO2-based sensors by inkjet printing and investigated their applicability for environmental odour monitoring.

Inkjet TiO2-Based Sensors for Environmental Monitoring

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10.1186/s12940-021-00774-3

Exposure to an environmental odour from industrial sources in population resident near the source or in workers was considered.

Industrial odour pollution and human health: a systematic review and meta-analysis

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10.3303/CET2185009

Nowadays, senso-instrumental methods by using Instrumental Odour Emissions Systems (IOMSs) represents the most attractive tool for the monitoring of environmental odours, allowing the possibility to obtain real-time and continuous information’s, to support the decision-making process and for the implementation of proactive approach.

Continuous Characterization of the Odour Emissions by Advanced Instrumental Odour Monitoring System in Oil Refinery and Petrochemical Plant

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10.1016/j.chemosphere.2021.129768

Nowadays, senso-instrumental methods by using Instrumental Odour Emissions Systems (IOMSs) is among the most attractive tool for the continuous monitoring of environmental odours, allowing the possibility of obtaining real-time information to support the decision-making process and proactive approach.

Next-generation of instrumental odour monitoring system (IOMS) for the gaseous emissions control in complex industrial plants.

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10.3390/CHEMOSENSORS9060147

The study presents and discusses the investigation and optimization of the operational phases of an advanced IOMS, applied for monitoring of environmental odours, with the aim of increasing their performances and reliability of the measures.

Optimization of Classification Prediction Performances of an Instrumental Odour Monitoring System by Using Temperature Correction Approach

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10.1016/j.jes.2018.09.018

In recent years, there has been a growing concern about potential impacts on public health and wellbeing due to exposure to environmental odour.

Assessing the inter-annual variability of separation distances around odour sources to protect the residents from odour annoyance.

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10.1016/j.envint.2019.105189

In this paper, a review on the application of artificial neural network for the management of environmental odours is presented.

Environmental odour management by artificial neural network - A review.

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What is/are Environmental Odour?

Environmental Odour - Exposure to an environmental odour from industrial sources in population resident near the source or in workers was considered. [1] Nowadays, senso-instrumental methods by using Instrumental Odour Emissions Systems (IOMSs) represents the most attractive tool for the monitoring of environmental odours, allowing the possibility to obtain real-time and continuous information’s, to support the decision-making process and for the implementation of proactive approach. [2] Nowadays, senso-instrumental methods by using Instrumental Odour Emissions Systems (IOMSs) is among the most attractive tool for the continuous monitoring of environmental odours, allowing the possibility of obtaining real-time information to support the decision-making process and proactive approach. [3] The study presents and discusses the investigation and optimization of the operational phases of an advanced IOMS, applied for monitoring of environmental odours, with the aim of increasing their performances and reliability of the measures. [4] In recent years, there has been a growing concern about potential impacts on public health and wellbeing due to exposure to environmental odour. [5] In this paper, a review on the application of artificial neural network for the management of environmental odours is presented. [6]

environmental odour monitoring

However, gaps to be improved in terms of accuracy in deciphering information, especially in the implementation of the mathematical model, are still being researched, especially in environmental odour monitoring applications. [1] This paper described the production of TiO2-based sensors by inkjet printing and investigated their applicability for environmental odour monitoring. [2] One critical aspect when dealing with electronic noses for environmental odour monitoring is that environmental odours are complex mixtures that are not repeatable nor reproducible, giving that they are not suitable for quality verifications. [3]