FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3124266898> ?p ?o ?g. }

• W3124266898 endingPage "118212" @default.
• W3124266898 startingPage "118212" @default.
• W3124266898 abstract "High-resolution data of fine particulate matters (PM2.5) are of great interest for air pollution prevention and control. However, due to the uneven spatial distribution of ground stations, satellite acquisition cycle, and cloud/rain, high-resolution products cannot be provided on a complete spatio-temporal scale. To provide a full daily PM2.5 product in recent years at 1-km grid of the Beijing-Tianjin-Hebei (BTH) region, here we apply a state-of-the-art machine learning approach, CatBoost, to (1) reconstruct satellite aerosol optical depth (AOD) data; and to (2) estimate gridded PM2.5 from station measurements combining elevation, meteorological factors, and the reconstructed AOD data. Compared with existing approaches, CatBoost substantially improved the performance of AOD reconstruction by ~16%. We further show that a wavelet decomposition procedure on the station-based PM2.5 and input variables is helpful to improve the estimation accuracy. Overall, the approach has a good performance in estimating PM2.5 with a cross-validation R2 of 0.88 and root-mean-squared error of 17.79 μg/m3. From the new dataset, population-weighted PM2.5 revealed heterogeneous spatial distribution of exposure in different areas, consistently higher in the Southern and Eastern BTH and lower in Beijing and Northern BTH. In recent years, both AOD and PM2.5 in the BTH region had notable interannual decreases, which can be attributed to the emission reduction efforts and interannual natural variabilities." @default.
• W3124266898 created "2021-02-01" @default.
• W3124266898 creator A5053676002 @default.
• W3124266898 creator A5076660291 @default.
• W3124266898 creator A5079713899 @default.
• W3124266898 creator A5086916496 @default.
• W3124266898 date "2021-03-01" @default.
• W3124266898 modified "2023-10-01" @default.
• W3124266898 title "A CatBoost approach with wavelet decomposition to improve satellite-derived high-resolution PM2.5 estimates in Beijing-Tianjin-Hebei" @default.
• W3124266898 cites W1974365058 @default.
• W3124266898 cites W2055056592 @default.
• W3124266898 cites W2061794780 @default.
• W3124266898 cites W2081004771 @default.
• W3124266898 cites W2092998278 @default.
• W3124266898 cites W2129479849 @default.
• W3124266898 cites W2144325527 @default.
• W3124266898 cites W2233873426 @default.
• W3124266898 cites W2263992771 @default.
• W3124266898 cites W2346476268 @default.
• W3124266898 cites W2405742917 @default.
• W3124266898 cites W2413782987 @default.
• W3124266898 cites W2479475749 @default.
• W3124266898 cites W2480175994 @default.
• W3124266898 cites W2524382105 @default.
• W3124266898 cites W2560682766 @default.
• W3124266898 cites W2567586762 @default.
• W3124266898 cites W2601969148 @default.
• W3124266898 cites W2616401893 @default.
• W3124266898 cites W2727708087 @default.
• W3124266898 cites W2767202706 @default.
• W3124266898 cites W2777546168 @default.
• W3124266898 cites W2791849336 @default.
• W3124266898 cites W2793762636 @default.
• W3124266898 cites W2794543278 @default.
• W3124266898 cites W2804076223 @default.
• W3124266898 cites W2890660608 @default.
• W3124266898 cites W2899637280 @default.
• W3124266898 cites W2903440439 @default.
• W3124266898 cites W2906498776 @default.
• W3124266898 cites W2906751544 @default.
• W3124266898 cites W2909938372 @default.
• W3124266898 cites W2912750253 @default.
• W3124266898 cites W2913491289 @default.
• W3124266898 cites W2914877608 @default.
• W3124266898 cites W2917616628 @default.
• W3124266898 cites W2918319429 @default.
• W3124266898 cites W2925834492 @default.
• W3124266898 cites W2930499469 @default.
• W3124266898 cites W2937452004 @default.
• W3124266898 cites W2941087853 @default.
• W3124266898 cites W2944043120 @default.
• W3124266898 cites W2963370351 @default.
• W3124266898 cites W2971319165 @default.
• W3124266898 cites W2972936270 @default.
• W3124266898 cites W2988872163 @default.
• W3124266898 cites W2990705976 @default.
• W3124266898 cites W2990989151 @default.
• W3124266898 cites W2991317235 @default.
• W3124266898 cites W2995370650 @default.
• W3124266898 cites W2997018745 @default.
• W3124266898 cites W3007246056 @default.
• W3124266898 cites W3010553270 @default.
• W3124266898 cites W3012113614 @default.
• W3124266898 cites W3012231256 @default.
• W3124266898 cites W3016403184 @default.
• W3124266898 cites W3020261201 @default.
• W3124266898 cites W3020943814 @default.
• W3124266898 cites W3021295700 @default.
• W3124266898 cites W3032512766 @default.
• W3124266898 cites W3033652527 @default.
• W3124266898 cites W3034585790 @default.
• W3124266898 cites W3043177445 @default.
• W3124266898 cites W3047258797 @default.
• W3124266898 cites W3094948551 @default.
• W3124266898 doi "https://doi.org/10.1016/j.atmosenv.2021.118212" @default.
• W3124266898 hasPublicationYear "2021" @default.
• W3124266898 type Work @default.
• W3124266898 sameAs 3124266898 @default.
• W3124266898 citedByCount "26" @default.
• W3124266898 countsByYear W31242668982021 @default.
• W3124266898 countsByYear W31242668982022 @default.
• W3124266898 countsByYear W31242668982023 @default.
• W3124266898 crossrefType "journal-article" @default.
• W3124266898 hasAuthorship W3124266898A5053676002 @default.
• W3124266898 hasAuthorship W3124266898A5076660291 @default.
• W3124266898 hasAuthorship W3124266898A5079713899 @default.
• W3124266898 hasAuthorship W3124266898A5086916496 @default.
• W3124266898 hasConcept C127413603 @default.
• W3124266898 hasConcept C146978453 @default.
• W3124266898 hasConcept C153294291 @default.
• W3124266898 hasConcept C166957645 @default.
• W3124266898 hasConcept C178790620 @default.
• W3124266898 hasConcept C185592680 @default.
• W3124266898 hasConcept C18903297 @default.
• W3124266898 hasConcept C191935318 @default.
• W3124266898 hasConcept C19269812 @default.
• W3124266898 hasConcept C205649164 @default.
• W3124266898 hasConcept C24245907 @default.

• next