中国环境科学
中國環境科學
중국배경과학
CHINA ENVIRONMENTAL SCIENCE
2014年
4期
1067-1072
,共6页
陈莎%李燚佩%曹磊%刘尊文%陈迎新
陳莎%李燚珮%曹磊%劉尊文%陳迎新
진사%리일패%조뢰%류존문%진영신
碳足迹%数据质量分析%不确定度%敏感度%数据优化
碳足跡%數據質量分析%不確定度%敏感度%數據優化
탄족적%수거질량분석%불학정도%민감도%수거우화
carbon footprint assessment of products%data quality analysis%uncertainty%sensitivity%data optimization
产品碳足迹评价中,数据种类、来源、获取途径和量化方法的选择不同将直接影响到评价结果的可靠与否。本文建立了结合敏感度和DQI-Monte Carlo不确定度分析的产品碳足迹评价数据质量分析模型。首先通过敏感度分析识别出产品碳足迹评价中的主要数据,再采用DQI-Monte Carlo不确定度分析方法对主要数据进行数据质量判定,甄选出影响评价结果可靠性的关键数据,并由此有针对性地提出数据质量改进意见,从而有效地优化数据收集方案,减少碳足迹评价结果的不确定度。建立的方法应用于我国某塑料软包装印刷企业的印刷前阶段碳足迹评价中。
產品碳足跡評價中,數據種類、來源、穫取途徑和量化方法的選擇不同將直接影響到評價結果的可靠與否。本文建立瞭結閤敏感度和DQI-Monte Carlo不確定度分析的產品碳足跡評價數據質量分析模型。首先通過敏感度分析識彆齣產品碳足跡評價中的主要數據,再採用DQI-Monte Carlo不確定度分析方法對主要數據進行數據質量判定,甄選齣影響評價結果可靠性的關鍵數據,併由此有針對性地提齣數據質量改進意見,從而有效地優化數據收集方案,減少碳足跡評價結果的不確定度。建立的方法應用于我國某塑料軟包裝印刷企業的印刷前階段碳足跡評價中。
산품탄족적평개중,수거충류、래원、획취도경화양화방법적선택불동장직접영향도평개결과적가고여부。본문건립료결합민감도화DQI-Monte Carlo불학정도분석적산품탄족적평개수거질량분석모형。수선통과민감도분석식별출산품탄족적평개중적주요수거,재채용DQI-Monte Carlo불학정도분석방법대주요수거진행수거질량판정,견선출영향평개결과가고성적관건수거,병유차유침대성지제출수거질량개진의견,종이유효지우화수거수집방안,감소탄족적평개결과적불학정도。건립적방법응용우아국모소료연포장인쇄기업적인쇄전계단탄족적평개중。
The results of carbon footprint assessment of products depend onthe selection of data types, sources, assessment approaches. The purpose of this study is to develop a new method which is combined DOI-Monte Carlo with sensitivity analysis and data quality analysis method for carbon footprint assessment of products. For this new approach, firstly, the primary data impacting on the assessment result were chosen through data sensitivity analysis; then, with DOI-Monte Carlo analysis the uncertainty of the primary data and the key data that affect the evaluation results were obtained. As a result, the accuracy of carbon footprint assessment could be improved more specific by optimizing data collection scheme according to the above data analysis method. As a case study, the developed method was applied to the carbon footprint assessment in the pre-printing stage of one plastic flexible packaging printing company in China. This approach can be used for carbon footprint assessment of many products by improving the uncertainty and data quality.