Identifying tobacco smoke exposure in indoor environments is critical for public health, especially in vulnerable populations. In this study, we developed and validated a machine learning model to detect smoking households based on indoor air quality (IAQ) data collected using low-cost sensors. A dataset of 129 homes in Spain and Austria was analyzed, with variables including PM_2.5, PM₁, CO₂, temperature, humidity, and total VOCs. The final model, based on the XGBoost algorithm, achieved near-perfect household-level classification (100% accuracy in the test set and AUC = 0.96 in external validation). Analysis of PM_2.5 temporal profiles in representative households helped interpret model performance and highlighted cases where model predictions revealed inconsistencies in self-reported smoking status. These findings support the use of sensor-based approaches for behavioral inference and exposure assessment in residential settings. The proposed method could be extended to other indoor pollution sources and may contribute to risk communication, health-oriented interventions, and policy development, provided that ethical principles such as transparency and informed consent are upheld.

NDOOR AIR QUALITY ASSESSMENT IN A HIGHER EDUCATION LIBRARY: IMPLICATIONS FOR ENVIRONMENTAL QUALITY IN EDUCATIONAL SPACES Brisa Braga,, Ermelinda Pereira, Susana Capitão, Fabiana Tiago, Paula Baptista, Manuel Feliciano HIGH-RESOLUTION MONITORING OF HYGROTHERMAL AND INDOOR AIR QUALITY: ARE MEDITERRANEAN SCHOOLS HEALTHY? Carmen María Calama-González Jesús Llanos-Jiménez; Rocío Escandón; Rafael Suárez INTELLIGENT LOW-COST MONITORS FOR INDOOR AIR QUALITY MONITORING IN SCHOOLS Hiten Chojer ; J.P. Sá,; P.T.B.S Branco,; F.G. Martins,; S.I.V. Sousa, HIGH SCHOOL STUDENTS’ RESEARCH ON ENERGY EFFICIENCY AND ENVIRONMENTAL QUALITY IN A SECONDARY SCHOOL BUILDING Miguel Díaz Sofía Zaragoza METHODOLOGY FOR CHARACTERISING INDOOR AIR QUALITY IN EUROPEAN SCHOOLS USING CONTINUOUS MONITORING AND GO-AQS INDICATORS Jose Fermoso; Sandra Rodríguez-Sufuentes; Alicia Aguado; Artur Badyda; Adam Muszynski; Piotr Kepa, Mariusz Rogulski, Alexandra Kristian CHILDREN’S RIGHTS TO SAFE, HEALTHY AND SUSTAINABLE EDUCATIONAL BUILDINGS IN SPAIN Enrique Hernández-Diez; Margherita Mini and Claudia Ponce de León Rodríguez URBAN CLASSROOMS AS POLLUTION AMPLIFIERS: FULL-YEAR EXPERIMENTAL EVIDENCE Alberto Leal Matilla; Alicia Zaragoza Benzal; Alexandra Míguez Souto; Daniel Ferrández Vega E+V MORE VENTILATED SCHOOLS: IMPROVING THE IAQ OF EDUCATIONAL CENTERS Fabian López Plazas; Eva Crespo Sánchez; Mònica Ubalde-López; Gloria Carrasco-Turigas; Silvia Gómez Araujo; Pablo Gonzalez Ruiz ENHANCING LEARNING ENVIRONMENTS THROUGH ADDITIONAL ACOUSTIC METRICS INTEGRATING IEQ PERSPECTIVES Juan Negreira; Nicolás Bermejo-Presa; Isabel Sánchez-Camacho ASSESSMENT OF INDOOR ENVIRONMENTAL QUALITY (IEQ) UNDER EPBD 2024 IN A ZERO EMISSION BUILDING. CASE STUDY Julio San José-Alonso, ; Yolanda Arroyo, ; Francisco J. Rey-Martínez, Luis J. San José-Gallego,; Alberto Rey ; Carmen A. García-García , and Javier M. Rey-Hernández ,. CITIZEN SCIENCE TO UNDERSTAND CHILDREN’S THERMAL COMFORT AND HEAT ADAPTATION PRACTICES AT SCHOOL Mar Satorras; Joana Ortiz; Carlos Chang; Elena Domene ENVIRONMENTAL MONITORING THROUGH IOT AND DIGITAL TWINS: A FRAMEWORK FOR INTELLIGENT BUILDING MAINTENANCE STRATEGIES Carmen Gómez, Francisco Castilla, Alejandro Lucas and Antonio Adán EVALUATING NATURE-BASED SOLUTIONS IN EDUCATIONAL ENVIRONMENTS: A METHODOLOGICAL MATRIX FOR EUROPEAN CASE STUDIES Hugo Canahua LIGHT AND TRANSPARENCY AS ENVIRONMENTAL VALUE. THREE EDUCATIONAL FACILITIES DESIGNED BY TRAZA ARQUITECTURA Francisco Felipe Muñoz Carabias; Manuel Rodrigo Gutiérrez de la Cámara FROM GIANT REED WASTE TO HEALTHY CLASSROOMS: LIME BASED ARUNDO DONAX L. PANELS FOR LOW EMISSION INTERIORS Jonathan Ruiz-Jaramillo; Carmen M. Muñoz-González; Ana Morales-Guisande; Milagrosa Borrallo-Jiménez

Edition 1st EditionFirst printing Warsaw 2024Publisher Akademia PożarniczaDOI https://doi.org/10.70402/apoz.2024.wip ISBN 978-83-968293-9-9Pages 118 CONTENTS Wioletta Rogula-Kozłowska, Klaudiusz Grübel Foreword https://doi.org/10.70402/apoz.2024.wip.pp.7-8 Jan Stefan Bihałowicz, Wioletta Rogula-Kozłowska, Paweł Gromek, Joanna Bihałowicz Remote Sensing of Water Areas. Analysis of the Consistency Between Topographic Maps and Satellite Land Cover Maps https://doi.org/10.70402/apoz.2024.wip.pp.9-14 Joanna Bihałowicz, Alex Schwerk, Izabela Dymitryszyn, Adam Olszewski Water

Mean annual concentrations of five air pollutants – benzo(a)pyrene (BaP), benzene (C6H6), NO2, PM10 and PM2.5 – were examined in Łódź in 2018–2024 together with reported emissions, meteorological conditions and the structure and intensity of the city’s development, the latter analysed for 97,517 buildings in 36 auxiliary units. Spearman rank correlation with Benjamini–Hochberg correction was applied. In 2024 the concentrations of all five pollutants were lower than in 2018, most markedly for BaP (−58.2%) and NO2 (−43.0%). This documents a decrease between these years; no trend over the whole period was significant after correction. Emission–concentration relationships were significant for NO2 (ρ = 0.96) and BaP (ρ = 0.89), whereas no meteorological one was. The share of low-rise buildings falls from 90.86% of their number to 48.51% of the pseudo-usable floor area, and intensity ranges from 13,062 m2/ha in Katedralna to 176 m2/ha in Łagiewniki.

The aim of the study was to determine the differentiation of mean annual concentrations of particulate matter PM2.5 and PM10, benzo(a)pyrene (BaP), nitrogen dioxide (NO₂), and benzene (C₆H₆) in 2018–2024 in the context of the structure and intensity of development in Gdańsk, Kraków, and...