FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4213094112> ?p ?o ?g. }

• W4213094112 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> We develop a new inversion method which is suitable for linear and nonlinear emission source (ES) modeling, based on the three-dimensional decoupled direct (DDM-3D) sensitivity analysis module in the Community Multiscale Air Quality (CMAQ) model and the three-dimensional variational (3DVAR) data assimilation technique. We established the explicit observation operator matrix between the ES and receptor concentrations and the background error covariance (BEC) matrix of the ES, which can reflect the impacts of uncertainties of the ES on assimilation. Then we constructed the inversion model of the ES by combining the sensitivity analysis with 3DVAR techniques. We performed the simulation experiment using the inversion model for a heavy haze case study in the Beijing–Tianjin–Hebei (BTH) region during 27–30 December 2016. Results show that the spatial distribution of sensitivities of <span class=inline-formula>SO₂</span> and <span class=inline-formula>NO_<i>x</i></span> ESs to their concentrations, as well as the BEC matrix of ES, is reasonable. Using an a posteriori inversed ES, underestimations of <span class=inline-formula>SO₂</span> and <span class=inline-formula>NO₂</span> during the heavy haze period are remarkably improved, especially for <span class=inline-formula>NO₂</span>. Spatial distributions of <span class=inline-formula>SO₂</span> and <span class=inline-formula>NO₂</span> concentrations simulated by the constrained ES were more accurate compared with an a priori ES in the BTH region. The temporal variations in regionally averaged <span class=inline-formula>SO₂</span>, <span class=inline-formula>NO₂</span>, and <span class=inline-formula>O₃</span> modeled concentrations using an a posteriori inversed ES are consistent with in situ observations at 45 stations over the BTH region, and simulation errors decrease significantly. These results are of great significance for studies on the formation mechanism of heavy haze, the reduction of uncertainties of the ES and its dynamic updating, and the provision of accurate “virtual” emission inventories for air-quality forecasts and decision-making services for optimization control of air pollution." @default.
• W4213094112 created "2022-02-24" @default.
• W4213094112 creator A5077760881 @default.
• W4213094112 date "2021-08-03" @default.
• W4213094112 modified "2023-09-27" @default.
• W4213094112 title "Reply on RC2" @default.
• W4213094112 doi "https://doi.org/10.5194/acp-2021-474-ac2" @default.
• W4213094112 hasPublicationYear "2021" @default.
• W4213094112 type Work @default.
• W4213094112 citedByCount "0" @default.
• W4213094112 crossrefType "peer-review" @default.
• W4213094112 hasAuthorship W4213094112A5077760881 @default.
• W4213094112 hasBestOaLocation W42130941121 @default.
• W4213094112 hasConcept C121332964 @default.
• W4213094112 hasConcept C127413603 @default.
• W4213094112 hasConcept C147176958 @default.
• W4213094112 hasConcept C153294291 @default.
• W4213094112 hasConcept C24552861 @default.
• W4213094112 hasConcept C2778753569 @default.
• W4213094112 hasConcept C28826006 @default.
• W4213094112 hasConcept C33923547 @default.
• W4213094112 hasConceptScore W4213094112C121332964 @default.
• W4213094112 hasConceptScore W4213094112C127413603 @default.
• W4213094112 hasConceptScore W4213094112C147176958 @default.
• W4213094112 hasConceptScore W4213094112C153294291 @default.
• W4213094112 hasConceptScore W4213094112C24552861 @default.
• W4213094112 hasConceptScore W4213094112C2778753569 @default.
• W4213094112 hasConceptScore W4213094112C28826006 @default.
• W4213094112 hasConceptScore W4213094112C33923547 @default.
• W4213094112 hasLocation W42130941121 @default.
• W4213094112 hasOpenAccess W4213094112 @default.
• W4213094112 hasPrimaryLocation W42130941121 @default.
• W4213094112 hasRelatedWork W148556002 @default.
• W4213094112 hasRelatedWork W2015020107 @default.
• W4213094112 hasRelatedWork W2016866892 @default.
• W4213094112 hasRelatedWork W2030916107 @default.
• W4213094112 hasRelatedWork W2140191588 @default.
• W4213094112 hasRelatedWork W270426999 @default.
• W4213094112 hasRelatedWork W2886196490 @default.
• W4213094112 hasRelatedWork W3083840282 @default.
• W4213094112 hasRelatedWork W3165210789 @default.
• W4213094112 hasRelatedWork W4236373379 @default.
• W4213094112 isParatext "false" @default.
• W4213094112 isRetracted "false" @default.
• W4213094112 workType "peer-review" @default.