Rajs et al., 2014 - Google Patents
Realization of instrument for environmental parameters measuringRajs et al., 2014
View PDF- Document ID
- 1645178695093124995
- Author
- Rajs V
- Milosavljevic V
- Mihajlovic Z
- Zivanov M
- Krco S
- Drajic D
- Pokric B
- Publication year
- Publication venue
- Elektronika ir Elektrotechnika
External Links
Snippet
As the effects of global warming are spreading all over the planet, the activities on monitoring the environment are getting on importance and are becoming the focus of many projects, in particular those targeting development of smart cities and smart societies in …
- 238000005259 measurement 0 abstract description 43
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—Specially adapted to detect a particular component
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0073—Control unit therefor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0006—Calibrating gas analysers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Hasenfratz et al. | Deriving high-resolution urban air pollution maps using mobile sensor nodes | |
Jiao et al. | Community Air Sensor Network (CAIRSENSE) project: evaluation of low-cost sensor performance in a suburban environment in the southeastern United States | |
Steinle et al. | Personal exposure monitoring of PM2. 5 in indoor and outdoor microenvironments | |
Arnds et al. | Spatio-temporal variance and meteorological drivers of the urban heat island in a European city | |
Yoo et al. | New indices for wet scavenging of air pollutants (O3, CO, NO2, SO2, and PM10) by summertime rain | |
Wang et al. | Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: impacts of COVID-19 pandemic lockdown | |
Castell et al. | Real-world application of new sensor technologies for air quality monitoring | |
Qin et al. | The evaluation and optimization of calibration methods for low-cost particulate matter sensors: Inter-comparison between fixed and mobile methods | |
Naughton et al. | A land use regression model for explaining spatial variation in air pollution levels using a wind sector based approach | |
Alvear et al. | EcoSensor: Monitoring environmental pollution using mobile sensors | |
Rizza et al. | Variability of airborne particle metrics in an urban area | |
Kakosimos et al. | Application and evaluation of AERMOD on the assessment of particulate matter pollution caused by industrial activities in the Greater Thessaloniki area | |
Zaidan et al. | Dense air quality sensor networks: Validation, analysis, and benefits | |
Hamraz et al. | GIS-based air pollution monitoring using static stations and mobile sensor in Tehran/Iran | |
David et al. | A low-cost, rapid-deployment and energy-autonomous wireless sensor network for air quality monitoring | |
Rajs et al. | Realization of instrument for environmental parameters measuring | |
Xu et al. | Potential for developing independent daytime/nighttime LUR models based on short-term mobile monitoring to improve model performance | |
Schneider et al. | A network of low-cost air quality sensors and its use for mapping urban air quality | |
Schmitz et al. | Do new bike lanes impact air pollution exposure for cyclists?—a case study from Berlin | |
WO2019224545A2 (en) | A system for detecting air pollution | |
Skouloudis et al. | Combining environment and health information systems for the assessment of atmospheric pollution on human health | |
Zherka et al. | A vehicle sensor network for real-time air pollution analysis | |
Hu et al. | An estimated method of urban PM2. 5 concentration distribution for a mobile sensing system | |
Donnelly et al. | Relating background NO 2 concentrations in air to air mass history using non-parametric regression methods: application at two background sites in Ireland | |
Shafran-Nathan et al. | Fusion of land use regression modeling output and wireless distributed sensor network measurements into a high spatiotemporally-resolved NO2 product |