Predicting photochemical pollution in an industrial area

Abstract

In order to confront pollution events concerning the city of Elefsis, in the environmentally aggravated area of Thriassion Plain, an effort is undertaken to create a model forecasting maximal daily concentrations of NO(x) (NO(2)+NO), NO(2) and O(3). The data analyzed were obtained from the Bureau of Pollution Control and Environments Quality based in Elefsis. The model in question uses hourly values of the pollutants as well as meteorological data recorded at the center of the city of Elefsis from 1993 to 1999. Three fitting methods are utilized, namely ordinary least squares, piecewise, and quantile regression. The verification and reliability of the forecasting models are based on the measurements of the year 2000. The results are considered to be satisfactory, with the forecasted values following the general tendencies.

PM10 and the air quality stress index in an industrial city of Eastern Mediterranean

“…This basin encompasses an area of 500 km 2 and houses a total population of 120,000 inhabitants (2011 census, ELSTAT, 2011). The presence of several mountains, close to the sea, the local climatic conditions (Mavrakis et al, 2015b), and the unfavourable topography, produce local regressive atmospheric circulation patterns (Lykoudis et al, 2008) that inhibit the capability of atmospheric self-cleaning through dispersion and transport mechanisms (Mavrakis et al, 2008). Temperature inversion heights are especially low during the cold seasons of the year, frequently being lower that the surrounding hills and comparable to the heights of the highest chimneys characteristics of the large industrial compounds in the area.…”

“…This means that air pollutants are trapped within a shallow layer, resulting to high (daily and hourly) air pollutants' concentrations. The Thriasio Plain exhibits the higher: (a) industrial activity concentration, (b) fuel consumption and (c) pollution, related to the production processes in Greece (Abatzoglou et al, 1996;Lykoudis et al, 2008;Mavrakis et al, 2008). Mavrakis et al (2016) quantified the industrial asset of the area in (at least) 6,500 large and small industrial plants, including all kinds of industries, such as oil refineries, chemical and steel production, metal and non-metal minerals' processing, cement industries and logistics (Fig.…”

“…For the air quality of the nearby Athens, the Thriasio Plain has been frequently regarded as a pollution source. However, a relatively limited number of studies considering air pollution issues, although pollution levels have been identified as serious, since the early 1990 (Abatzoglou et al, 1996;Kassomenos et al, 2004;Lykoudis et al, 2008;Mavrakis et al, 2008;Toumpos et al, 2017). Koukoulakis et al, (2019) and Kanellopoulos et al (2021) have given special attention to primary and secondary organic aerosol and to trace elements bound to PM 10 in the area as well as to their possible health implications.…”

Using Median Regression to Obtain Adjusted Estimates of Central Tendency for Skewed Laboratory and Epidemiologic Data

“…The adjusted median obtained with LAV is less sensitive to outliers than an adjusted mean, analogous to an unadjusted median vs an unadjusted mean. Although we found recent reports of the use of quantile regression (2)(3)(4)(5)(6)(7)(8), it is an underused technique.…”

Μελέτη Της Χωρικής Κατανομής Της Αέριας Ρύπανσης Και Η Συσχέτισή Της Με Τις Χρήσεις Γής

“…Ένας δεύτερος µετεωρολογικός παράγοντας που συµβάλλει στην εµφάνιση υψηλών τιµών αέριας ρύπανσης είναι η υψηλή ηλιοφάνεια της Αττικής, σηµαντική γιά την παραγωγή φωτοχηµικών ρύπων όπως το όζον. Το O 3 εµφανίζει υψηλές τιµές κατά τους θερµούς µήνες του έτους, τις πρώτες µεσηµεριανές και απογευµατινές ώρες, δευτερεύων φωτοχηµικός ρύπος,(Lykoudis et al, 2007). Γενικά µειωµένη ρύπανση έχουµε για ταχύτητες ανέµου: V αέρα > 4 m/sec.…”