Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283075203> ?p ?o ?g. }
- W4283075203 endingPage "9301" @default.
- W4283075203 startingPage "9291" @default.
- W4283075203 abstract "China will attempt to achieve its simultaneous goals in 2060, whereby carbon neutrality will be accomplished and the PM2.5 (fine particulate matter) level is expected to remain below 10 μg/m3. Identifying interaction patterns between air cleaning and climate action represents an important step to obtain cobenefits. Here, we used a random sampling strategy through the combination of chemical transport modeling and machine learning approach to capture the interaction effects from two perspectives in which the driving forces of both climate action and air cleaning measures were compared. We revealed that climate action where carbon emissions were decreased to 1.9 Bt (billion tons) could lead to a PM2.5 level of 12.4 μg/m3 (95% CI (confidence interval): 10.2-14.6 μg/m3) in 2060, while air cleaning could force carbon emissions to reach 1.93 Bt (95% CI: 0.79-3.19 Bt) to achieve net carbon neutrality based on the potential carbon sinks in 2060. Additional controls targeting primary PM2.5, ammonia, and volatile organic compounds were required as supplements to overcome the partial lack of climate action. Our study provides novel insights into the cobenefits of air-quality improvement and climate change mitigation, indicating that the effect of air cleaning on the simultaneous goals might have been underestimated before." @default.
- W4283075203 created "2022-06-19" @default.
- W4283075203 creator A5016081694 @default.
- W4283075203 creator A5024786578 @default.
- W4283075203 creator A5033555321 @default.
- W4283075203 creator A5040082411 @default.
- W4283075203 creator A5045679168 @default.
- W4283075203 creator A5050332174 @default.
- W4283075203 creator A5056594693 @default.
- W4283075203 creator A5067073080 @default.
- W4283075203 creator A5074320223 @default.
- W4283075203 creator A5074338325 @default.
- W4283075203 date "2022-06-17" @default.
- W4283075203 modified "2023-10-14" @default.
- W4283075203 title "Interaction Patterns between Climate Action and Air Cleaning in China: A Two-Way Evaluation Based on an Ensemble Learning Approach" @default.
- W4283075203 cites W2007310192 @default.
- W4283075203 cites W2030392648 @default.
- W4283075203 cites W2096933527 @default.
- W4283075203 cites W2099269882 @default.
- W4283075203 cites W2118877747 @default.
- W4283075203 cites W2345790533 @default.
- W4283075203 cites W2515244754 @default.
- W4283075203 cites W2610791732 @default.
- W4283075203 cites W2622826443 @default.
- W4283075203 cites W2747050720 @default.
- W4283075203 cites W2803100786 @default.
- W4283075203 cites W2888003212 @default.
- W4283075203 cites W2888501158 @default.
- W4283075203 cites W2908510209 @default.
- W4283075203 cites W2922629364 @default.
- W4283075203 cites W2944469206 @default.
- W4283075203 cites W2946216966 @default.
- W4283075203 cites W2977978674 @default.
- W4283075203 cites W2979380693 @default.
- W4283075203 cites W2990705976 @default.
- W4283075203 cites W2997128519 @default.
- W4283075203 cites W3082832293 @default.
- W4283075203 cites W3096303972 @default.
- W4283075203 cites W3105060452 @default.
- W4283075203 cites W3111196312 @default.
- W4283075203 cites W3118370044 @default.
- W4283075203 cites W3127141142 @default.
- W4283075203 cites W3127667919 @default.
- W4283075203 cites W3128300643 @default.
- W4283075203 cites W3159356635 @default.
- W4283075203 cites W3162173904 @default.
- W4283075203 cites W3176025970 @default.
- W4283075203 cites W3185877013 @default.
- W4283075203 cites W3194352903 @default.
- W4283075203 cites W3208793204 @default.
- W4283075203 cites W3217178849 @default.
- W4283075203 doi "https://doi.org/10.1021/acs.est.2c01966" @default.
- W4283075203 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35714369" @default.
- W4283075203 hasPublicationYear "2022" @default.
- W4283075203 type Work @default.
- W4283075203 citedByCount "3" @default.
- W4283075203 countsByYear W42830752032023 @default.
- W4283075203 crossrefType "journal-article" @default.
- W4283075203 hasAuthorship W4283075203A5016081694 @default.
- W4283075203 hasAuthorship W4283075203A5024786578 @default.
- W4283075203 hasAuthorship W4283075203A5033555321 @default.
- W4283075203 hasAuthorship W4283075203A5040082411 @default.
- W4283075203 hasAuthorship W4283075203A5045679168 @default.
- W4283075203 hasAuthorship W4283075203A5050332174 @default.
- W4283075203 hasAuthorship W4283075203A5056594693 @default.
- W4283075203 hasAuthorship W4283075203A5067073080 @default.
- W4283075203 hasAuthorship W4283075203A5074320223 @default.
- W4283075203 hasAuthorship W4283075203A5074338325 @default.
- W4283075203 hasConcept C104779481 @default.
- W4283075203 hasConcept C11413529 @default.
- W4283075203 hasConcept C126172416 @default.
- W4283075203 hasConcept C126314574 @default.
- W4283075203 hasConcept C127313418 @default.
- W4283075203 hasConcept C132651083 @default.
- W4283075203 hasConcept C140205800 @default.
- W4283075203 hasConcept C153294291 @default.
- W4283075203 hasConcept C178790620 @default.
- W4283075203 hasConcept C185592680 @default.
- W4283075203 hasConcept C18903297 @default.
- W4283075203 hasConcept C205649164 @default.
- W4283075203 hasConcept C24245907 @default.
- W4283075203 hasConcept C2776845762 @default.
- W4283075203 hasConcept C39432304 @default.
- W4283075203 hasConcept C41008148 @default.
- W4283075203 hasConcept C47737302 @default.
- W4283075203 hasConcept C509746633 @default.
- W4283075203 hasConcept C86803240 @default.
- W4283075203 hasConcept C87717796 @default.
- W4283075203 hasConcept C91586092 @default.
- W4283075203 hasConceptScore W4283075203C104779481 @default.
- W4283075203 hasConceptScore W4283075203C11413529 @default.
- W4283075203 hasConceptScore W4283075203C126172416 @default.
- W4283075203 hasConceptScore W4283075203C126314574 @default.
- W4283075203 hasConceptScore W4283075203C127313418 @default.
- W4283075203 hasConceptScore W4283075203C132651083 @default.
- W4283075203 hasConceptScore W4283075203C140205800 @default.
- W4283075203 hasConceptScore W4283075203C153294291 @default.
- W4283075203 hasConceptScore W4283075203C178790620 @default.