Matches in SemOpenAlex for { <https://semopenalex.org/work/W3194202255> ?p ?o ?g. }
- W3194202255 endingPage "9" @default.
- W3194202255 startingPage "1" @default.
- W3194202255 abstract "The vertical distribution of fine particles with a diameter <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$ < 2.5~mu text{m}$ </tex-math></inline-formula> (PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2.5</sub> ) plays an important role in understanding the transport of air pollution and in making decisions regarding the prevention and control of regional air pollution. However, the studies of the vertical distribution of PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2.5</sub> were limited by the lack of monitoring data obtained with vertical sampling strategies. The lidar system can obtain the aerosol profile, which provides the possibility to measure PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2.5</sub> profile. Here, the vertical distributions of PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2.5</sub> concentrations were investigated on the basis of lidar data from January 2014 to October 2015. Linear regression, improved linear regression, and random forest (RF) models were used to retrieve the PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2.5</sub> concentration profile from lidar data. The models were built based on the relationship among extinction coefficient (EC), temperature ( <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$T$ </tex-math></inline-formula> ), relative humidity (RH), and surface PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2.5</sub> mass concentration. Comparison of the estimated and observed PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2.5</sub> showed that the RF model exhibited the best inversion effect. The correlation coefficient reached 0.75, and the root mean absolute error (RMAE) and root mean square error (RMSE) were 3.94 and 21.1 <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$mu text{g}/text{m}^{3}$ </tex-math></inline-formula> , respectively. Error analysis indicated that the estimated PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2.5</sub> retrieved using the linear and improved linear models (ILMs) was smaller than the observed PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2.5</sub> when EC was less than 0.7 km <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>−1</sup> , whereas PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2.5</sub> was evidently overestimated during winter pollution days. The reason might be that the effects of <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$T$ </tex-math></inline-formula> and RH were inaccurately considered. Finally, the seasonal variation of the PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2.5</sub> profiles was investigated. Results indicated that the mass concentration of PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2.5</sub> was relatively large within 0.5–1.5 km, with a maximum of 60 <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$mu text{g}/text{m}^{3}$ </tex-math></inline-formula> . The findings obtained here provide guidance for PM <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2.5</sub> vertical observation and regional pollutant transport." @default.
- W3194202255 created "2021-08-30" @default.
- W3194202255 creator A5016781161 @default.
- W3194202255 creator A5022380281 @default.
- W3194202255 creator A5025319461 @default.
- W3194202255 creator A5045036212 @default.
- W3194202255 creator A5046308125 @default.
- W3194202255 creator A5046975280 @default.
- W3194202255 date "2022-01-01" @default.
- W3194202255 modified "2023-10-16" @default.
- W3194202255 title "Retrieving the Vertical Distribution of PM<sub>2.5</sub> Mass Concentration From Lidar Via a Random Forest Model" @default.
- W3194202255 cites W1887798800 @default.
- W3194202255 cites W1967285184 @default.
- W3194202255 cites W1980891198 @default.
- W3194202255 cites W2014401819 @default.
- W3194202255 cites W2036757139 @default.
- W3194202255 cites W2042679028 @default.
- W3194202255 cites W2046182010 @default.
- W3194202255 cites W2066245043 @default.
- W3194202255 cites W2073364815 @default.
- W3194202255 cites W2087199341 @default.
- W3194202255 cites W2104471998 @default.
- W3194202255 cites W2125790985 @default.
- W3194202255 cites W2127215108 @default.
- W3194202255 cites W2172326024 @default.
- W3194202255 cites W2189499426 @default.
- W3194202255 cites W2194097676 @default.
- W3194202255 cites W2297827415 @default.
- W3194202255 cites W2316657201 @default.
- W3194202255 cites W2334651408 @default.
- W3194202255 cites W2509599246 @default.
- W3194202255 cites W2560103205 @default.
- W3194202255 cites W2604939430 @default.
- W3194202255 cites W2612321463 @default.
- W3194202255 cites W2626326445 @default.
- W3194202255 cites W2725704704 @default.
- W3194202255 cites W2753214643 @default.
- W3194202255 cites W2757806018 @default.
- W3194202255 cites W2759291154 @default.
- W3194202255 cites W2793541587 @default.
- W3194202255 cites W2807861482 @default.
- W3194202255 cites W2842632718 @default.
- W3194202255 cites W2900333869 @default.
- W3194202255 cites W2903922503 @default.
- W3194202255 cites W2911964244 @default.
- W3194202255 cites W2915059500 @default.
- W3194202255 cites W2968894603 @default.
- W3194202255 cites W2987060060 @default.
- W3194202255 cites W2989981902 @default.
- W3194202255 cites W2990205665 @default.
- W3194202255 cites W3008599913 @default.
- W3194202255 cites W3008949811 @default.
- W3194202255 cites W3012826589 @default.
- W3194202255 cites W3047932907 @default.
- W3194202255 cites W3083046904 @default.
- W3194202255 cites W3098891304 @default.
- W3194202255 cites W3110642941 @default.
- W3194202255 cites W3121736343 @default.
- W3194202255 cites W3170039856 @default.
- W3194202255 doi "https://doi.org/10.1109/tgrs.2021.3102059" @default.
- W3194202255 hasPublicationYear "2022" @default.
- W3194202255 type Work @default.
- W3194202255 sameAs 3194202255 @default.
- W3194202255 citedByCount "4" @default.
- W3194202255 countsByYear W31942022552021 @default.
- W3194202255 countsByYear W31942022552022 @default.
- W3194202255 countsByYear W31942022552023 @default.
- W3194202255 crossrefType "journal-article" @default.
- W3194202255 hasAuthorship W3194202255A5016781161 @default.
- W3194202255 hasAuthorship W3194202255A5022380281 @default.
- W3194202255 hasAuthorship W3194202255A5025319461 @default.
- W3194202255 hasAuthorship W3194202255A5045036212 @default.
- W3194202255 hasAuthorship W3194202255A5046308125 @default.
- W3194202255 hasAuthorship W3194202255A5046975280 @default.
- W3194202255 hasConcept C105795698 @default.
- W3194202255 hasConcept C110121322 @default.
- W3194202255 hasConcept C11413529 @default.
- W3194202255 hasConcept C121332964 @default.
- W3194202255 hasConcept C127313418 @default.
- W3194202255 hasConcept C134306372 @default.
- W3194202255 hasConcept C140779682 @default.
- W3194202255 hasConcept C153294291 @default.
- W3194202255 hasConcept C33923547 @default.
- W3194202255 hasConcept C41008148 @default.
- W3194202255 hasConcept C48921125 @default.
- W3194202255 hasConcept C51399673 @default.
- W3194202255 hasConcept C62649853 @default.
- W3194202255 hasConcept C76155785 @default.
- W3194202255 hasConcept C94915269 @default.
- W3194202255 hasConceptScore W3194202255C105795698 @default.
- W3194202255 hasConceptScore W3194202255C110121322 @default.
- W3194202255 hasConceptScore W3194202255C11413529 @default.
- W3194202255 hasConceptScore W3194202255C121332964 @default.
- W3194202255 hasConceptScore W3194202255C127313418 @default.
- W3194202255 hasConceptScore W3194202255C134306372 @default.
- W3194202255 hasConceptScore W3194202255C140779682 @default.
- W3194202255 hasConceptScore W3194202255C153294291 @default.
- W3194202255 hasConceptScore W3194202255C33923547 @default.