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Alessandro Bigi

Researcher at University of Modena and Reggio Emilia

Publications -  58
Citations -  1065

Alessandro Bigi is an academic researcher from University of Modena and Reggio Emilia. The author has contributed to research in topics: Air quality index & Aerosol. The author has an hindex of 16, co-authored 57 publications receiving 847 citations. Previous affiliations of Alessandro Bigi include University of Bologna.

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Analysis of the air pollution climate at a central urban background site

TL;DR: In this article, the authors analysed the long-term trends of air pollution from a background site in central London and found that ozone has an annual cycle with a maximum in May, influenced by the spring maximum in background ozone, but the diurnal and weekly cycles are dominated by losses through reaction with nitrogen oxide.
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Indirect Methods to Estimate Suspended Sediment Concentration: Reliability and Relationship of Turbidity and Settleable Solids

TL;DR: In this paper, the reliability of settleable solids in Imhoff cones was addressed as an alternative indirect method to estimate suspended sediment concentration (SSC), verifying the results with the turbidity measures of a laboratory nephelometer.
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Analysis of the air pollution climate at a background site in the Po valley

TL;DR: The Po valley in northern Italy is renowned for its high air pollutant concentrations, and measurements from a background site in Modena, a town of 200 thousand inhabitants within the Po valley, are analysed, showing a strong seasonality with higher concentration in winter and lower concentration in summer and spring.
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Performance of NO, NO 2 low cost sensors and three calibration approaches within a real world application

TL;DR: In this article, the medium term performance of a set of NO and NO2 electrochemical sensors in Switzerland using three different regression algorithms within a field calibration approach was investigated, and the results from the deployment at two distant regulatory urban sites in traffic and urban background conditions, where the performance of the calibration algorithms was explored.
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Long-term trend and variability of atmospheric PM 10 concentration in the Po Valley

TL;DR: In this article, a data set of PM10 data from 41 sites across the Po Valley have been analyzed, including both traffic and background sites (either urban, suburban or rural) for long-term trend in deseasonalized monthly means, in annual quantiles and in monthly frequency distribution.