FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309710904> ?p ?o ?g. }

• W4309710904 endingPage "3016" @default.
• W4309710904 startingPage "3007" @default.
• W4309710904 abstract "Low-cost sensors (LCSs) have revolutionized the air pollution monitoring landscape. However, the sensitivities of particulate matter (PM) LCS measurements to various particle microphysical properties and meteorological aspects warrant an accuracy investigation. We investigated the inter- and intracity variations in the accuracy of LCS-measured PM2.5 across geographically and demographically distinct Indian cities. The collocation data of PM2.5 (collected during March–April 2022) from an LCS (Atmos) and a reference-grade instrument (β attenuation monitor) from nine sites (across five cities) were analyzed. The root-mean-square error (RMSE) in the hourly mean raw (uncorrected) Atmos PM2.5 measurements varied significantly across the cities. The Atmos PM2.5 overestimated the reference-grade PM2.5 values in cities located in the Indo-Gangetic Plain (Chandigarh and New Delhi) but considerably underestimated the values in the city located in western India (Mumbai). In south Indian cities (Bengaluru and Chennai), the Atmos PM2.5 measurements were relatively close to the reference-grade PM2.5 measurements. Among various statistical calibration models trained to correct the Atmos PM2.5 measurements for most locations, a generalized additive model performed better than other models. The performance of the calibration models was investigated using the holdout cross-validation method. The correction models improved the accuracy of the Atmos PM2.5 measurements by up to 70%. The bias range of the intracity (Mumbai) raw Atmos PM2.5 measurements was approximately comparable to the intercity bias range. Across the study locations, the generalized additive model performed the best in correcting the raw LCS PM2.5 measurements. We also demonstrated that the application of the location-specific calibration model to correct Atmos PM2.5 measurements improved the accuracy of the LCS PM2.5 measurements compared with the application of a single-location calibration model for city-wide data." @default.
• W4309710904 created "2022-11-29" @default.
• W4309710904 creator A5005904075 @default.
• W4309710904 creator A5008549381 @default.
• W4309710904 creator A5012414956 @default.
• W4309710904 creator A5012986487 @default.
• W4309710904 creator A5025168850 @default.
• W4309710904 creator A5025889156 @default.
• W4309710904 creator A5029004224 @default.
• W4309710904 creator A5036778229 @default.
• W4309710904 creator A5036791533 @default.
• W4309710904 creator A5051302211 @default.
• W4309710904 creator A5063019356 @default.
• W4309710904 creator A5065671485 @default.
• W4309710904 creator A5066800168 @default.
• W4309710904 creator A5071704125 @default.
• W4309710904 creator A5071753569 @default.
• W4309710904 date "2022-11-21" @default.
• W4309710904 modified "2023-10-10" @default.
• W4309710904 title "Inter- versus Intracity Variations in the Performance and Calibration of Low-Cost PM_2.5 Sensors: A Multicity Assessment in India" @default.
• W4309710904 cites W1995871695 @default.
• W4309710904 cites W2025103090 @default.
• W4309710904 cites W2034570314 @default.
• W4309710904 cites W2070625642 @default.
• W4309710904 cites W2085908638 @default.
• W4309710904 cites W2104610706 @default.
• W4309710904 cites W2118278119 @default.
• W4309710904 cites W2400470910 @default.
• W4309710904 cites W2475217919 @default.
• W4309710904 cites W2530125781 @default.
• W4309710904 cites W2571111911 @default.
• W4309710904 cites W2620722035 @default.
• W4309710904 cites W2781905980 @default.
• W4309710904 cites W2801553349 @default.
• W4309710904 cites W2808633977 @default.
• W4309710904 cites W2885404876 @default.
• W4309710904 cites W2890701797 @default.
• W4309710904 cites W2898166126 @default.
• W4309710904 cites W2902455337 @default.
• W4309710904 cites W2908181870 @default.
• W4309710904 cites W2944912517 @default.
• W4309710904 cites W2970189313 @default.
• W4309710904 cites W2989951998 @default.
• W4309710904 cites W2997698625 @default.
• W4309710904 cites W3009202610 @default.
• W4309710904 cites W3009886389 @default.
• W4309710904 cites W3034905588 @default.
• W4309710904 cites W3041521469 @default.
• W4309710904 cites W3041747533 @default.
• W4309710904 cites W3109504479 @default.
• W4309710904 cites W3149392816 @default.
• W4309710904 cites W3152876831 @default.
• W4309710904 cites W3177891837 @default.
• W4309710904 cites W3192033685 @default.
• W4309710904 cites W3203419049 @default.
• W4309710904 cites W4200337380 @default.
• W4309710904 cites W4221038989 @default.
• W4309710904 cites W427161124 @default.
• W4309710904 cites W4307920092 @default.
• W4309710904 doi "https://doi.org/10.1021/acsearthspacechem.2c00257" @default.
• W4309710904 hasPublicationYear "2022" @default.
• W4309710904 type Work @default.
• W4309710904 citedByCount "1" @default.
• W4309710904 crossrefType "journal-article" @default.
• W4309710904 hasAuthorship W4309710904A5005904075 @default.
• W4309710904 hasAuthorship W4309710904A5008549381 @default.
• W4309710904 hasAuthorship W4309710904A5012414956 @default.
• W4309710904 hasAuthorship W4309710904A5012986487 @default.
• W4309710904 hasAuthorship W4309710904A5025168850 @default.
• W4309710904 hasAuthorship W4309710904A5025889156 @default.
• W4309710904 hasAuthorship W4309710904A5029004224 @default.
• W4309710904 hasAuthorship W4309710904A5036778229 @default.
• W4309710904 hasAuthorship W4309710904A5036791533 @default.
• W4309710904 hasAuthorship W4309710904A5051302211 @default.
• W4309710904 hasAuthorship W4309710904A5063019356 @default.
• W4309710904 hasAuthorship W4309710904A5065671485 @default.
• W4309710904 hasAuthorship W4309710904A5066800168 @default.
• W4309710904 hasAuthorship W4309710904A5071704125 @default.
• W4309710904 hasAuthorship W4309710904A5071753569 @default.
• W4309710904 hasConcept C105795698 @default.
• W4309710904 hasConcept C121332964 @default.
• W4309710904 hasConcept C139945424 @default.
• W4309710904 hasConcept C153294291 @default.
• W4309710904 hasConcept C159985019 @default.
• W4309710904 hasConcept C165838908 @default.
• W4309710904 hasConcept C178790620 @default.
• W4309710904 hasConcept C185592680 @default.
• W4309710904 hasConcept C192562407 @default.
• W4309710904 hasConcept C204323151 @default.
• W4309710904 hasConcept C205649164 @default.
• W4309710904 hasConcept C24245907 @default.
• W4309710904 hasConcept C33923547 @default.
• W4309710904 hasConcept C39432304 @default.
• W4309710904 hasConcept C62649853 @default.
• W4309710904 hasConcept C80023036 @default.
• W4309710904 hasConcept C91586092 @default.
• W4309710904 hasConceptScore W4309710904C105795698 @default.
• W4309710904 hasConceptScore W4309710904C121332964 @default.

• next