Matches in SemOpenAlex for { <https://semopenalex.org/work/W3166996914> ?p ?o ?g. }
- W3166996914 endingPage "117483" @default.
- W3166996914 startingPage "117483" @default.
- W3166996914 abstract "Exposure to ambient air pollution is associated with maternal and child health. Some air pollutants exhibit similar behavior in the atmosphere, and some interact with each other; thus, comprehensive assessments of individual air pollutants are required. In this study, we developed national-scale monthly models for six air pollutants (NO, NO 2 , SO 2 , O 3 , PM 2.5 , and suspended particulate matter (SPM)) to obtain accurate estimates of pollutant concentrations at 1 km × 1 km resolution from 2010 through 2015 for application to the Japan Environment and Children's Study (JECS), which is a large-scale birth cohort study. We developed our models in the land use regression framework using random forests in conjunction with kriging. We evaluated the model performance via 5-fold location-based cross-validation. We successfully predicted monthly NO ( r 2 = 0.65), NO 2 ( r 2 = 0.84), O 3 ( r 2 = 0.86), PM 2.5 ( r 2 = 0.79), and SPM ( r 2 = 0.64) concentrations. For SO 2 , a satisfactory model could not be developed ( r 2 = 0.45) because of the low SO 2 concentrations in Japan. The performance of our models is comparable to those reported in previous studies at similar temporal and spatial scales. The model predictions in conjunction with the JECS will reveal the critical windows of prenatal and infancy exposure to ambient air pollutants, thus contributing to the development of environmental policies on air pollution. • National-scale monthly exposure models were built for six ambient key air pollutants. • Random forests in conjunction with kriging on the regression residuals were used. • We achieved accurate NO, NO 2 , O 3 , PM 2.5 , and suspended particulate matter estimates. • Monthly estimates nationwide were obtained from 2010 to 2015 at 1 km resolution. • The estimates were obtained to be applied to a national-scale birth cohort in Japan." @default.
- W3166996914 created "2021-06-22" @default.
- W3166996914 creator A5009629262 @default.
- W3166996914 creator A5013146465 @default.
- W3166996914 creator A5036543952 @default.
- W3166996914 creator A5044351431 @default.
- W3166996914 creator A5049526560 @default.
- W3166996914 creator A5071892180 @default.
- W3166996914 creator A5080484845 @default.
- W3166996914 creator A5084729535 @default.
- W3166996914 date "2021-09-01" @default.
- W3166996914 modified "2023-10-18" @default.
- W3166996914 title "Estimating monthly concentrations of ambient key air pollutants in Japan during 2010–2015 for a national-scale birth cohort" @default.
- W3166996914 cites W1965032887 @default.
- W3166996914 cites W1967297182 @default.
- W3166996914 cites W1991350060 @default.
- W3166996914 cites W1992626635 @default.
- W3166996914 cites W2001863067 @default.
- W3166996914 cites W2007873570 @default.
- W3166996914 cites W2021322898 @default.
- W3166996914 cites W2024510125 @default.
- W3166996914 cites W2029271365 @default.
- W3166996914 cites W2040447900 @default.
- W3166996914 cites W2057829983 @default.
- W3166996914 cites W2070535949 @default.
- W3166996914 cites W2090743055 @default.
- W3166996914 cites W2111125854 @default.
- W3166996914 cites W2119019979 @default.
- W3166996914 cites W212313422 @default.
- W3166996914 cites W2129153195 @default.
- W3166996914 cites W2142227798 @default.
- W3166996914 cites W2154589423 @default.
- W3166996914 cites W2288470020 @default.
- W3166996914 cites W2336797181 @default.
- W3166996914 cites W2405363658 @default.
- W3166996914 cites W2526047447 @default.
- W3166996914 cites W2532428756 @default.
- W3166996914 cites W2561066426 @default.
- W3166996914 cites W2620300958 @default.
- W3166996914 cites W2733928499 @default.
- W3166996914 cites W2735239992 @default.
- W3166996914 cites W2735896099 @default.
- W3166996914 cites W2765989280 @default.
- W3166996914 cites W2767085346 @default.
- W3166996914 cites W2781898996 @default.
- W3166996914 cites W2792404378 @default.
- W3166996914 cites W2800133189 @default.
- W3166996914 cites W2801493073 @default.
- W3166996914 cites W2804239627 @default.
- W3166996914 cites W2819013944 @default.
- W3166996914 cites W2865430977 @default.
- W3166996914 cites W2883931985 @default.
- W3166996914 cites W2885419738 @default.
- W3166996914 cites W2887788238 @default.
- W3166996914 cites W2888327598 @default.
- W3166996914 cites W2888926545 @default.
- W3166996914 cites W2904851601 @default.
- W3166996914 cites W2909938372 @default.
- W3166996914 cites W2911964244 @default.
- W3166996914 cites W2929543877 @default.
- W3166996914 cites W2935143835 @default.
- W3166996914 cites W2944043120 @default.
- W3166996914 cites W2944545717 @default.
- W3166996914 cites W2955244952 @default.
- W3166996914 cites W2998567072 @default.
- W3166996914 cites W3000309282 @default.
- W3166996914 cites W3015148410 @default.
- W3166996914 cites W3031035328 @default.
- W3166996914 cites W3102027041 @default.
- W3166996914 doi "https://doi.org/10.1016/j.envpol.2021.117483" @default.
- W3166996914 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34261212" @default.
- W3166996914 hasPublicationYear "2021" @default.
- W3166996914 type Work @default.
- W3166996914 sameAs 3166996914 @default.
- W3166996914 citedByCount "5" @default.
- W3166996914 countsByYear W31669969142021 @default.
- W3166996914 countsByYear W31669969142022 @default.
- W3166996914 countsByYear W31669969142023 @default.
- W3166996914 crossrefType "journal-article" @default.
- W3166996914 hasAuthorship W3166996914A5009629262 @default.
- W3166996914 hasAuthorship W3166996914A5013146465 @default.
- W3166996914 hasAuthorship W3166996914A5036543952 @default.
- W3166996914 hasAuthorship W3166996914A5044351431 @default.
- W3166996914 hasAuthorship W3166996914A5049526560 @default.
- W3166996914 hasAuthorship W3166996914A5071892180 @default.
- W3166996914 hasAuthorship W3166996914A5080484845 @default.
- W3166996914 hasAuthorship W3166996914A5084729535 @default.
- W3166996914 hasConcept C126322002 @default.
- W3166996914 hasConcept C18903297 @default.
- W3166996914 hasConcept C205649164 @default.
- W3166996914 hasConcept C2778755073 @default.
- W3166996914 hasConcept C2987853052 @default.
- W3166996914 hasConcept C39432304 @default.
- W3166996914 hasConcept C559116025 @default.
- W3166996914 hasConcept C58640448 @default.
- W3166996914 hasConcept C71924100 @default.
- W3166996914 hasConcept C72563966 @default.
- W3166996914 hasConcept C82685317 @default.