PM2.5 exposure close to marijuana smoking and vaping: A case study in residential indoor and outdoor settings

2022 ◽  
Vol 802 ◽  
pp. 149897
Author(s):  
Kai-Chung Cheng ◽  
Wayne Ott ◽  
Lance Wallace ◽  
Yifang Zhu ◽  
Lynn Hildemann
Keyword(s):  
Pm2.5 Exposure ◽  
Indoor And Outdoor

Indoor and outdoor air quality monitoring in hemp house — Case study

2011 ◽  
Vol 6 (3) ◽  
pp. 63-72 ◽  
Author(s):  
Jarmila Rimbalová ◽  
Silvia Vilčeková ◽  
Adriana Eštoková
Keyword(s):  
Air Quality ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Outdoor Air ◽  
Outdoor Air Quality ◽  
Indoor And Outdoor

Indoor and Outdoor Face Recognition for Social Robot, Sanbot Robot as Case Study

2020 ◽  
Author(s):  
Erfan Ashtari ◽  
Mohammad Amin Basiri ◽  
Saeid Mohammadi Nejati ◽  
Hemen Zandi ◽  
Seyyed Hossein SeyyedAghaei Rezaei ◽  
...  
Keyword(s):  
Face Recognition ◽  
Social Robot ◽  
Indoor And Outdoor

Using big data from air quality monitors to evaluate indoor PM2.5 exposure in buildings: Case study in Beijing

2018 ◽  
Vol 240 ◽  
pp. 839-847 ◽  
Author(s):  
JinXing Zuo ◽  
Wei Ji ◽  
YuJie Ben ◽  
Muhammad Azher Hassan ◽  
WenHong Fan ◽  
...  
Keyword(s):  
Big Data ◽  
Air Quality ◽  
Pm2.5 Exposure ◽  
Indoor Pm2.5

RESULTS OF LONG-TERM RADON MONITORING IN THE TYPICAL SLOVAK FAMILY HOUSE—A CASE STUDY

2020 ◽  
Vol 191 (2) ◽  
pp. 223-227
Author(s):  
Monika Müllerová ◽  
Karol Holý ◽  
Jozef Masarik
Keyword(s):  
Temperature Difference ◽  
Annual Variation ◽  
Activity Concentration ◽  
The Other ◽  
Outdoor Air ◽  
Family House ◽  
Radon Monitoring ◽  
Indoor And Outdoor

Abstract This case study provides a view of the behavior of radon in an uninhabited house, the likes of which were built in thousands in Slovakia between 1950 and 1990. In one room of the house that was in contact with the subsoil, an average annual radon activity concentration (RAC) as high as 1088 Bq m−3 was found. A high radon supply to this room from the subsoil was identified in the corner of the room, and this correlated very well with the temperature difference between indoor and outdoor air. In this room, an atypical annual variation of RAC was found, with a maximum in September (1600 Bq m−3). In the other rooms on the ground floor, RACs at the level of 400–500 Bq m−3 were detected. In the rooms on the first floor, RACs of up to ~200 Bq m−3 were found.

scholarly journals Evaluation on Sports Facility Resource in Primary School Using a Combined Approach of Unsupervised Machine Learning: a Case Study of Shanghai, China

2019 ◽  
Author(s):  
Jun Xia ◽  
Pei-Jie Chen ◽  
Ji-Hong Wang ◽  
Jie Zhuang ◽  
Zhen-Bo Cao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Primary Schools ◽  
Analysis Of Covariance ◽  
School Type ◽  
Combined Approach ◽  
Combined Method ◽  
Unsupervised Machine Learning ◽  
Individual School ◽  
Indoor And Outdoor

The aim of this study is (a) to develop, test, and employ a combined method of unsupervised machine learning to objectively assess the condition of sports facility in primary schools (PSSFC) and (b) examine the examine the geographical and typological association with PSSFC. Based on the Sixth National Sports Facility Census (NSFC), six PSSFC indicators (indoor and outdoor facility included) were selected as the measurements and decomposed by using the t-stochastic neighbor embedding (t-SNE). Thereafter, the Fuzzy C-mean (FCM) algorithm was used to cluster the same type of PSSFC with selecting the optimum numbers of evaluation level. Overall 845 primary schools in Shanghai, China were recruited and tested by this combined approach of unsupervised machine learning. In addition, the two-way analysis of covariance was used to examine the location and types of school associated with PSSFC variables in each level. The combined method was found to have acceptable reliability and good interpretability, differentiating PSSFC into five gradient levels. The characteristics of PSSFC differ by the location and school type of individual school. Our findings are conducive to the regionalized and personalized intervention and promotion on the children’s physical activity (PA) upon the practical situation of particular schools.

Indoor and outdoor concentrations of Japanese cedar pollens and total suspended particulates: A case study at a kindergarten in Japan

2010 ◽  
Vol 45 (3) ◽  
pp. 792-797 ◽  
Author(s):  
Naomichi Yamamoto ◽  
Junko Nishikawa ◽  
Miho Sakamoto ◽  
Tomomi Shimizu ◽  
Hideaki Matsuki
Keyword(s):  
Japanese Cedar ◽  
Suspended Particulates ◽  
Total Suspended Particulates ◽  
Indoor And Outdoor

scholarly journals Size‐resolved dynamics of indoor and outdoor fluorescent biological aerosol particles in a bedroom: A one‐month case study in Singapore

Indoor Air ◽  
2020 ◽  
Vol 30 (5) ◽  
pp. 942-954 ◽  
Author(s):  
Jiayu Li ◽  
Man Pun Wan ◽  
Stefano Schiavon ◽  
Kwok Wai Tham ◽  
Sultan Zuraimi ◽  
...  
Keyword(s):  
Aerosol Particles ◽  
Biological Aerosol Particles ◽  
Indoor And Outdoor

scholarly journals A Biplot-Based PCA Approach to Study the Relations between Indoor and Outdoor Air Pollutants Using Case Study Buildings

Buildings ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 218
Author(s):  
He Zhang ◽  
Ravi Srinivasan
Keyword(s):  
Relative Humidity ◽  
Air Pollutants ◽  
Quality Data ◽  
Outdoor Air ◽  
School Site ◽  
Outdoor Air Quality ◽  
Residential Unit ◽  
Air Quality Data ◽  
Indoor And Outdoor

The 24 h and 14-day relationship between indoor and outdoor PM2.5, PM10, NO2, relative humidity, and temperature were assessed for an elementary school (site 1), a laboratory (site 2), and a residential unit (site 3) in Gainesville city, Florida. The primary aim of this study was to introduce a biplot-based PCA approach to visualize and validate the correlation among indoor and outdoor air quality data. The Spearman coefficients showed a stronger correlation among these target environmental measurements on site 1 and site 2, while it showed a weaker correlation on site 3. The biplot-based PCA regression performed higher dependency for site 1 and site 2 (p < 0.001) when compared to the correlation values and showed a lower dependency for site 3. The results displayed a mismatch between the biplot-based PCA and correlation analysis for site 3. The method utilized in this paper can be implemented in studies and analyzes high volumes of multiple building environmental measurements along with optimized visualization.

Sign in / Sign up

Export Citation Format

Share Document