Browsing by Author "Nasar, Zaheer"
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Item Open Access Fingerprinting ambient air to understand bioaerosol profiles in three different environments in the South East of England(Cranfield University, 2020-02-24 08:10) Coulon, Frederic; Garcia Alcega, Sonia; Tyrrel, Sean; Nasar, Zaheer; Drew, Gill; Cipullo, Sabrina; colbeck, ian; ferguson, Robert; Whitby, Corinne; J. Dumbrell, Alex; Yan, ChengRaw data used and supporting the data and results presented in: "Fingerprinting ambient air to understand bioaerosol profiles in three different environments in the South East of England" Science of the Total EnvironmentItem Open Access How to best communicate Bioaerosol Science to different audiences.(2021-09) Bailly, Adrien; Drew, Gill H.; Nasar, ZaheerScientific research aims to advance society through its results and discoveries. However scientific discoveries and results are for most people very difficult to access, both from the point of view of pure understanding and the accessibility of science to non-expert audiences. Making scientific knowledge more accessible to wider public is challenging, especially for an interdisciplinary field like bioaerosol science, where effective communication to various stakeholders is facing complex challenges. This study is integrated into the BioAirNet research network, in the theme of public and policy engagement. Here, the focus is on how best to communicate the science of Biological Particulate Matter (BioPM) or airborne micro-organisms (bioaerosols) and associated results. The aim of the research was to develop a framework for communicating bioaerosol science to different stakeholder; the General Public (GP), professionals, from different areas and the regulators. To do this, the research work consisted of analysing the concerns of the stakeholders, conducting a literature review, and carrying out qualitative data analysis (QDA). Then with the result obtained an investigation on the best communication mechanisms and the research on the key message for the stakeholders. The results of the study led to a Framework that is an asset for a better understanding of stakeholder engagement (SE) through effective scientific communication. this research confirms the fact that when the objective is to communicate to a certain audience or stakeholders identified, understanding the audiences and their concerns is crucial for the achievement. This study provides mechanisms through the choice of well-adapted tools for science communication. The framework developed allows reducing as much as possible the uncertainties and the technical/scientific issues inherent to science communication.Item Open Access Real time detection and characterisation of bioaerosols(Cranfield University, 2020-01-21 16:05) Nasar, Zaheer; Tyrrel, Sean; Coulon, Frederic; Garcia, Sonia; Yan, Cheng; Tian, Jiang-hanReal time detection and characterisation of bioaerosol emissions from wastewater treatment plants (WWTPs) A novel real-time bioaerosol sensor, Spectral Intensity Bioaerosol Sensor (SIBS), capable of providing fine size and time resolution measurements of resolved fluorescence spectra of single particle was employed at a WWTP and a background site. Additionally, excitation-emission matrix (EEM) of wastewater samples obtained by a spectrofluorometer was compared with SIBS spectra from WWTP.Item Open Access Selection and aggregation of low-cost particle sensors for outdoor particulate matter measurement(IEEE, 2024-06-28) Li, Jie; Nasar, Zaheer; Ferracci, Valerio; Harris, Neil; Xu, ZhengjiaA growing number of low-cost sensors (LCS) have been used to monitor air pollution in outdoor air. The benefit of utilizing LCS lies in its ability to offer increased spatial coverage, which provides real-time measurements at a reduced cost. The selection and combination of low-cost sensors represent the primary challenge in conducting observations using such sensors. This paper employs a sensor quality ranking strategy, utilizing random forest (RF) for aggregating the selected LCS combination, followed by evaluating the correction results using various model evaluation metrics. The LCS used in this study, regardless of their quality grades, achieves a coefficient of determination of 0.93 or higher after model calibration, indicating the effectiveness of employing RF for aggregation. It is found that using a pair of top and averaged LCS can significantly enhance the measurement quality by 25% in RMSE. Using RF to calibrate a single LCS increases the measurement performance at least two times in terms of MSE, RMSE, and MAE. Using paired LCS with RF aggregation for measuring PM2.5, the aggregated observation significantly approximates the reference measurement with R2=0.986.