DARS에 의한 CAPSS 배출자료의 불확도 평가
The uncertainty assessment is important to improve the reliability of emission inventory data. The DARS (Data Attribute Rating System) have recommended as the uncertainty assessment technic of emission inventory by U.S. EPA (Environmental Protection Agency) EIIP (Emission Inventory Improvement Progr...
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Published in | 한국대기환경학회지 Vol. 30; no. 1; pp. 26 - 36 |
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Main Authors | , |
Format | Journal Article |
Language | Korean |
Published |
한국대기환경학회
2014
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Abstract | The uncertainty assessment is important to improve the reliability of emission inventory data. The DARS (Data Attribute Rating System) have recommended as the uncertainty assessment technic of emission inventory by U.S. EPA (Environmental Protection Agency) EIIP (Emission Inventory Improvement Program). The DARS score is based on the perceived quality of the emission factor and activity data. Scores are assigned to four attributes; measurement/method, source specificity, spatial congruity and temporal congruity. The resulting emission factor and activity rate scores are combined to arrive at an overall confidence rating for the inventory. So DARS is believed to be a useful tool and may provide more information about inventories than the usual qualitative grading procedures (e.g. A through E). In this study, the uncertainty assessment for 2009 CAPSS (Clean Air Policy Support System) emission inventory is conducted by DARS. According to the result of this uncertainty assessment, the uncertainty for fugitive dust emission data is higher than other sources, the uncertainty of emission factor for surface coating is the highest value, and the uncertainty of activity data for motor cycle is the highest value. Also it is analysed that the improvement of uncertainty for activity data is as much important as the improvement for emission factor to upgrade the reliability of CAPSS emission inventory. |
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AbstractList | The uncertainty assessment is important to improve the reliability of emission inventory data. The DARS (DataAttribute Rating System) have recommended as the uncertainty assessment technic of emission inventory by U.S.
EPA (Environmental Protection Agency) EIIP (Emission Inventory Improvement Program). The DARS score isbased on the perceived quality of the emission factor and activity data. Scores are assigned to four attributes;measurement/method, source specificity, spatial congruity and temporal congruity. The resulting emission factorand activity rate scores are combined to arrive at an overall confidence rating for the inventory. So DARS isbelieved to be a useful tool and may provide more information about inventories than the usual qualitative gradingprocedures (e.g. A through E).
In this study, the uncertainty assessment for 2009 CAPSS (Clean Air Policy Support System) emission inventoryis conducted by DARS. According to the result of this uncertainty assessment, the uncertainty for fugitive dustemission data is higher than other sources, the uncertainty of emission factor for surface coating is the highestvalue, and the uncertainty of activity data for motor cycle is the highest value. Also it is analysed that the improvementof uncertainty for activity data is as much important as the improvement for emission factor to upgrade thereliability of CAPSS emission inventory. KCI Citation Count: 4 The uncertainty assessment is important to improve the reliability of emission inventory data. The DARS (Data Attribute Rating System) have recommended as the uncertainty assessment technic of emission inventory by U.S. EPA (Environmental Protection Agency) EIIP (Emission Inventory Improvement Program). The DARS score is based on the perceived quality of the emission factor and activity data. Scores are assigned to four attributes; measurement/method, source specificity, spatial congruity and temporal congruity. The resulting emission factor and activity rate scores are combined to arrive at an overall confidence rating for the inventory. So DARS is believed to be a useful tool and may provide more information about inventories than the usual qualitative grading procedures (e.g. A through E). In this study, the uncertainty assessment for 2009 CAPSS (Clean Air Policy Support System) emission inventory is conducted by DARS. According to the result of this uncertainty assessment, the uncertainty for fugitive dust emission data is higher than other sources, the uncertainty of emission factor for surface coating is the highest value, and the uncertainty of activity data for motor cycle is the highest value. Also it is analysed that the improvement of uncertainty for activity data is as much important as the improvement for emission factor to upgrade the reliability of CAPSS emission inventory. |
Author | 장영기(Young-Kee Jang) 김정(Jeong Kim) |
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DocumentTitleAlternate | Uncertainty Assessment for CAPSS Emission Inventory by DARS |
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Keywords | Emission inventory DARS Uncertainty assessment CAPSS |
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Title | DARS에 의한 CAPSS 배출자료의 불확도 평가 |
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