Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308352305> ?p ?o ?g. }
- W4308352305 endingPage "1832" @default.
- W4308352305 startingPage "1832" @default.
- W4308352305 abstract "This study proposes a random forest–random pixel ID (RF–RID) method, which could reduce local anomalies in the simulation of NO2 spatial distribution and significantly improve prediction accuracy in rural areas. First, the 470 nm MAIAC AOD and OMI NO2 total and tropospheric vertical column were packed using the two-step method (TWS). Second, using RID, the filled data and auxiliary variables were combined with random forest (RF) to build an RF–RID model to predict the 1 km/d NO2 spatial distribution in southwestern Fujian (SWFJ) in 2018. The results show that the RF–RID achieves enhanced performance in the CV of the observed sample (R = 0.9117, RMSE = 3.895). Meanwhile, RF–RID has a higher correlation with the road length (RL) in remote areas, and the proposed method solves the issue related to strips or patches of NO2 spatial distribution. This model offers insights into the related research on air pollutants in large areas." @default.
- W4308352305 created "2022-11-11" @default.
- W4308352305 creator A5011141138 @default.
- W4308352305 creator A5046255149 @default.
- W4308352305 date "2022-11-03" @default.
- W4308352305 modified "2023-10-05" @default.
- W4308352305 title "A Simple and Effective Random Forest Refit to Map the Spatial Distribution of NO2 Concentrations" @default.
- W4308352305 cites W1564783508 @default.
- W4308352305 cites W1974622551 @default.
- W4308352305 cites W1984795642 @default.
- W4308352305 cites W1985796756 @default.
- W4308352305 cites W1993983873 @default.
- W4308352305 cites W2033585087 @default.
- W4308352305 cites W2053404990 @default.
- W4308352305 cites W2071978272 @default.
- W4308352305 cites W2082987860 @default.
- W4308352305 cites W2083271012 @default.
- W4308352305 cites W2083350401 @default.
- W4308352305 cites W2084337353 @default.
- W4308352305 cites W2087272295 @default.
- W4308352305 cites W2100236613 @default.
- W4308352305 cites W2104048263 @default.
- W4308352305 cites W2133049723 @default.
- W4308352305 cites W2233873426 @default.
- W4308352305 cites W2261059368 @default.
- W4308352305 cites W2291282024 @default.
- W4308352305 cites W2331741160 @default.
- W4308352305 cites W2517295763 @default.
- W4308352305 cites W2562192078 @default.
- W4308352305 cites W2587684384 @default.
- W4308352305 cites W2588978790 @default.
- W4308352305 cites W2610316289 @default.
- W4308352305 cites W2736577301 @default.
- W4308352305 cites W2742946820 @default.
- W4308352305 cites W2757750926 @default.
- W4308352305 cites W2759421184 @default.
- W4308352305 cites W2760849513 @default.
- W4308352305 cites W2771723417 @default.
- W4308352305 cites W2784031884 @default.
- W4308352305 cites W2785721007 @default.
- W4308352305 cites W2786395844 @default.
- W4308352305 cites W2791315675 @default.
- W4308352305 cites W2792404378 @default.
- W4308352305 cites W2801493073 @default.
- W4308352305 cites W2803785277 @default.
- W4308352305 cites W2804076223 @default.
- W4308352305 cites W2809958129 @default.
- W4308352305 cites W2810516778 @default.
- W4308352305 cites W2900923896 @default.
- W4308352305 cites W2905390929 @default.
- W4308352305 cites W2953978338 @default.
- W4308352305 cites W2963325458 @default.
- W4308352305 cites W2966175614 @default.
- W4308352305 cites W2972133199 @default.
- W4308352305 cites W2975277183 @default.
- W4308352305 cites W2981441128 @default.
- W4308352305 cites W2996331566 @default.
- W4308352305 cites W2998567072 @default.
- W4308352305 cites W3011702667 @default.
- W4308352305 cites W3026256882 @default.
- W4308352305 cites W3033069661 @default.
- W4308352305 cites W3033223258 @default.
- W4308352305 cites W3039911076 @default.
- W4308352305 cites W3047366773 @default.
- W4308352305 cites W3087027504 @default.
- W4308352305 cites W3095351521 @default.
- W4308352305 cites W3099096390 @default.
- W4308352305 cites W3105022509 @default.
- W4308352305 cites W3107088906 @default.
- W4308352305 cites W3108960196 @default.
- W4308352305 cites W3114040405 @default.
- W4308352305 cites W3117180061 @default.
- W4308352305 cites W3127571587 @default.
- W4308352305 cites W3135484287 @default.
- W4308352305 cites W3154597851 @default.
- W4308352305 cites W3166176735 @default.
- W4308352305 cites W3170689778 @default.
- W4308352305 cites W3182250664 @default.
- W4308352305 cites W3186934638 @default.
- W4308352305 cites W3202525453 @default.
- W4308352305 cites W3209161350 @default.
- W4308352305 cites W4205256047 @default.
- W4308352305 cites W4232424286 @default.
- W4308352305 cites W4283791977 @default.
- W4308352305 cites W4285498335 @default.
- W4308352305 cites W4296432369 @default.
- W4308352305 doi "https://doi.org/10.3390/atmos13111832" @default.
- W4308352305 hasPublicationYear "2022" @default.
- W4308352305 type Work @default.
- W4308352305 citedByCount "0" @default.
- W4308352305 crossrefType "journal-article" @default.
- W4308352305 hasAuthorship W4308352305A5011141138 @default.
- W4308352305 hasAuthorship W4308352305A5046255149 @default.
- W4308352305 hasBestOaLocation W43083523051 @default.
- W4308352305 hasConcept C105795698 @default.
- W4308352305 hasConcept C110121322 @default.
- W4308352305 hasConcept C134306372 @default.
- W4308352305 hasConcept C139945424 @default.