2022
DOI: 10.1016/j.jes.2021.06.013
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Distribution and transport characteristics of fine particulate matter in beijing with mobile lidar measurements from 2015 to 2018

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Cited by 10 publications
(3 citation statements)
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“…Distributing and sending contracts on the Internet of ings host works directly to limit the debugging of shared platform data recovery processes, making it possible for Internet host access due to various types of commitments. In the case of unknown logistics distribution centers, sending data back to the natural transmission environment helps, on the one hand, to obtain cloud computing systems directly, and on the other hand, it is better to use hierarchical storage logistics distribution information [17,18].…”
Section: Delivery and Transportationmentioning
confidence: 99%
“…Distributing and sending contracts on the Internet of ings host works directly to limit the debugging of shared platform data recovery processes, making it possible for Internet host access due to various types of commitments. In the case of unknown logistics distribution centers, sending data back to the natural transmission environment helps, on the one hand, to obtain cloud computing systems directly, and on the other hand, it is better to use hierarchical storage logistics distribution information [17,18].…”
Section: Delivery and Transportationmentioning
confidence: 99%
“…The main objectives of the studies concerning this application are to find out the characteristics ( [1][2][3]) main emission sources ( [1,2,4]) and spatial distribution ( [5,6]) of urban particulate matter.…”
Section: Introductionmentioning
confidence: 99%
“…Although the filter was able to remove almost all the particulate matter, the issue of using toxic and non-ecofriendly material is still present. Other scientists have used PLA/PMMA composite nanofibers to solve the fine particle matter issue and claim that they removed 99.5% of PM2.5 using synthetic stimulations [13]. Liu et al [14] developed a superhydrophobic filter using a mix of synthetic polymers and they were able to remove up to 96% of the PM2.5.…”
Section: Introductionmentioning
confidence: 99%