A distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China.
about
New methods for personal exposure monitoring for airborne particlesLaboratory Evaluation of the Shinyei PPD42NS Low-Cost Particulate Matter SensorEstimating Hourly Concentrations of PM2.5 across a Metropolitan Area Using Low-Cost Particle Monitors.Assessing the Utility of Low-Cost Particulate Matter Sensors over a 12-Week Period in the Cuyama Valley of California.Low-Cost Air Quality Monitoring Tools: From Research to Practice (A Workshop Summary).Validation of a light-scattering PM2.5 sensor monitor based on the long-term gravimetric measurements in field tests.Interpreting Mobile and Handheld Air Sensor Readings in Relation to Air Quality Standards and Health Effect Reference Values: Tackling the Challenges.Response Characterization of an Inexpensive Aerosol Sensor.A New Black Carbon Sensor for Dense Air Quality Monitoring Networks.Mobile phones as monitors of personal exposure to air pollution: Is this the future?Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone?Evaluation of micro-well collector for capture and analysis of aerosolized Bacillus subtilis spores.Application of Positive Matrix Factorization in the Identification of the Sources of PM in Taipei CityDESIGN AND OPTIMIZATION OF A COMPACT LOW-COST OPTICAL PARTICLE SIZERDevelopment and evaluation of a palm-sized optical PM2.5 sensorPortable, Ambient PM2.5 Sensor for Human and/or Animal Exposure StudiesDeveloping a Relative Humidity Correction for Low-Cost Sensors Measuring Ambient Particulate MatterSensor Selection to Improve Estimates of Particulate Matter Concentration from a Low-Cost Network
P2860
Q24169635-29773E9F-97D4-4A11-B7BD-701D9508B05EQ35772775-C7B677FD-A429-4D91-AC19-1ECDEE0908A3Q38616287-341E3EAD-FF65-427D-8F2E-73B059EC5416Q38637258-A525078B-3218-4FC5-9FB0-C58B8245B24FQ46465287-7223D2B9-77D0-42BA-BFD1-2F4A69621D6EQ46505767-1F35D193-C12B-43CB-9FC4-9466D41E2391Q47096235-3853846A-8542-456E-9EEB-D12C141075FAQ47289020-6D1AEBB9-5E4D-4EEA-A3CB-A2D86398A4FFQ52679572-4E77FAD6-CF70-4B4C-8F04-B301967DEB77Q52688350-D6637BCF-9713-4A8B-AF05-CF20FBDCFE04Q53070743-78D4BB03-A92A-4C96-881E-012B20CEBBBDQ55301039-37B53338-A2A1-47B5-AD98-9B4C61307F8EQ57092545-FACA8CF4-2CFE-429A-8277-F9BAC44FDF57Q57104386-4150AD29-2424-4C61-98A9-66CFE52F6AB3Q58149568-9D2A407E-D971-41D1-8C44-C71B43F18335Q58170094-3E9C7388-FE77-429C-A6E5-EE0FF2848CADQ58703879-B8984F69-DE6B-4793-AC16-17A8E0C9F654Q58757610-E57FBA8C-D13E-40AA-8E39-BA57E98653A2
P2860
A distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi'an, China.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
A distributed network of low-c ...... ions of PM2.5 in Xi'an, China.
@en
type
label
A distributed network of low-c ...... ions of PM2.5 in Xi'an, China.
@en
prefLabel
A distributed network of low-c ...... ions of PM2.5 in Xi'an, China.
@en
P2093
P921
P1476
A distributed network of low-c ...... ions of PM2.5 in Xi'an, China.
@en
P2093
Edmund Seto
Meiling Gao
P2880
P356
10.1016/J.ENVPOL.2015.01.013
P577
2015-01-23T00:00:00Z