Tracking sensitive source areas of different weather pollution types using GRAPES-CUACE adjoint model

Atmospheric Environment

Volumn 175, Issue , 2018, Pages 154-166

  Wang, Chao ^a   An, Xingqin ^a   Zhai, Shixian ^b   Hou, Qing ^a   Sun, Zhaobin ^c  

^a STATE KEY LABORATORY OF SEVERE WEATHER   (China)

^b NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^c NATIONAL CLIMATE CENTER   (China)

Author keywords

Adjoint method; Emission reduction effect; Pollution process; Sensitive source area tracing; Weather typing

Indexed keywords

EMISSION CONTROL; POLLUTION; SENSITIVITY ANALYSIS;

ADJOINT METHODS; ADJOINT SENSITIVITY ANALYSIS; EMISSION REDUCTION; PEAK CONCENTRATIONS; PM2.5 CONCENTRATION; POLLUTION PROCESS; PROCESSING SYSTEMS; SOURCE AREA;

POLLUTION CONTROL;

BLACK CARBON; CARBON MONOXIDE; NITROGEN OXIDE; ORGANIC CARBON; SULFUR DIOXIDE;

ADJOINT METHOD; CLIMATE PREDICTION; CONCENTRATION (COMPOSITION); EMISSION CONTROL; NUMERICAL MODEL; PARTICULATE MATTER; POLLUTANT SOURCE; TRACKING; WEATHER;

AEROSOL; AIR POLLUTION; AIR QUALITY; ARTICLE; CHEMICAL REACTION; CONTROLLED STUDY; PARTICULATE MATTER; POLLUTION; PRIORITY JOURNAL; SEA LEVEL; SENSITIVITY ANALYSIS; WEATHER;

CHINA;

EID: 85038865881     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2017.11.041     Document Type: Article

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