Current trends in network based air quality monitoring systems

被引:1
作者
Rogulski, M. [1 ]
Badyda, A. [1 ]
机构
[1] Warsaw Univ Technol, Fac Bldg Serv Hydro & Environm Engn, Warsaw, Poland
来源
INTERNATIONAL CONFERENCE ON THE SUSTAINABLE ENERGY AND ENVIRONMENTAL DEVELOPMENT | 2019年 / 214卷
关键词
POLLUTION; SENSORS;
D O I
10.1088/1755-1315/214/1/012085
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Air quality is a serious problem in modern cities due to the significant impact of air pollution on the health of the population, the global environment and economy. Recent studies point to the crucial role of information about pollution on micro level, which translates into direct exposure of people to air pollutions. To provide such information, it is necessary to create real-time systems with large spatio-temporal resolution, since such information cannot provide conventional measurement systems performing measurements according to the legislative regulations of particular countries. Current researches focus on the concept of a next-generation air pollution monitoring systems that use new measurement technologies and techniques for communicating and delivering data. These systems can be complementary to traditional air quality monitoring systems. The article presents current trends in the world in this area - the example of static, social and vehicle measurement systems. There are also shown Polish initiatives related to environmental quality monitoring.
引用
收藏
页数:11
相关论文
共 34 条
[21]   CitySense: An urban-scale wireless sensor network and testbed [J].
Murty, Rohan Narayana ;
Mainland, Geoffrey ;
Rose, Ian ;
Chowdhury, Atanu Roy ;
Gosain, Abhimanyu ;
Bers, Josh ;
Welsh, Matt .
2008 IEEE CONFERENCE ON TECHNOLOGIES FOR HOMELAND SECURITY, VOLS 1 AND 2, 2008, :583-+
[22]  
Nath B, 2013, P 2 ACM SIGKDD INT W, P1, DOI [DOI 10.1145/2505821.2505834, 10.1145/2505821.2505834]
[23]  
Peters A, 2001, CIRCULATION, V103, P2810
[24]   Heart rate variability associated with particulate air pollution [J].
Pope, CA ;
Verrier, RL ;
Lovett, EG ;
Larson, AC ;
Raizenne, ME ;
Kanner, RE ;
Schwartz, J ;
Villegas, M ;
Gold, DR ;
Dockery, DW .
AMERICAN HEART JOURNAL, 1999, 138 (05) :890-899
[25]   Smart Sensors Network for Air Quality Monitoring Applications [J].
Postolache, Octavian A. ;
Dias Pereira, J. M. ;
Silva Girao, P. M. B. .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2009, 58 (09) :3253-3262
[26]   Grid-based analysis of air pollution data [J].
Richards, M ;
Ghanem, M ;
Osmond, M ;
Guo, Y ;
Hassard, J .
ECOLOGICAL MODELLING, 2006, 194 (1-3) :274-286
[27]   Route selection for mobile sensor nodes on public transport networks [J].
Saukh, Olga ;
Hasenfratz, David ;
Thiele, Lothar .
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2014, 5 (03) :307-321
[28]   Sensor Mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0 [J].
Swan, Melanie .
JOURNAL OF SENSOR AND ACTUATOR NETWORKS, 2012, 1 (03) :217-253
[29]   A Wearable and Wireless Sensor System for Real-Time Monitoring of Toxic Environmental Volatile Organic Compounds [J].
Tsow, Francis ;
Forzani, Erica ;
Rai, Anant ;
Wang, Rui ;
Tsui, Ray ;
Mastroianni, Sal ;
Knobbe, Christopher ;
Gandolfi, A. Jay ;
Tao, N. J. .
IEEE SENSORS JOURNAL, 2009, 9 (12) :1734-1740
[30]  
Völgyesi P, 2008, 2008 INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS, PROCEEDINGS, P529, DOI 10.1109/IPSN.2008.50