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基于QAR数据的碳当量值适航符合性验证方法 被引量:1
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作者 曹惠玲 汤鑫豪 《北京航空航天大学学报》 EI CAS CSCD 北大核心 2020年第3期474-480,共7页
为评估飞机碳排放水平并验证适航性,对国际民用航空组织最新的碳排放认证程序进行了研究。以比航程(SAR)和基准几何因子(RGF)组成的综合指标碳当量值作为评估适航性的度量,根据飞机最大起飞重量(MTOM)值选取试飞测量点,并确定对应的飞... 为评估飞机碳排放水平并验证适航性,对国际民用航空组织最新的碳排放认证程序进行了研究。以比航程(SAR)和基准几何因子(RGF)组成的综合指标碳当量值作为评估适航性的度量,根据飞机最大起飞重量(MTOM)值选取试飞测量点,并确定对应的飞机碳当量值限制线。提出了一种基于快速存储记录器(QAR)数据的飞机碳当量水平快速评估方法,利用新服役飞机的QAR数据,使用多参数支持向量机回归(SVR)方法分别建立燃油消耗率和飞行速度相对于推力的修正关系,通过飞机总重换算求解3个飞行测量点条件下的SAR值,并计算碳当量值。使用一架B777-200新飞机的QAR数据进行实例分析,计算结果显示,该机型碳当量值为1.5987,超出限制线20.5%。提出的基于QAR数据的碳当量值计算方法可以用于飞机碳排放水平的快速评估。 展开更多
关键词 碳当量值 适航 比航程(SAR) 基准几何因子(RGF) 快速存储记录器(QAR)数据
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Seasonal dynamics of soil CO_2 effluxes with responses to environmental factors in lower subtropical forests of China 被引量:12
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作者 ZHANG Deqiang, SUN Xiaomin, ZHOU Guoyi, YAN Junhua, WANG Yuesi, LIU Shizhong, ZHOU Cunyu, LIU Juxiu, TANG Xuli, LI Jiong & ZHANG Qianmei South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China Institute of Geographical Sciences and Natural Resoureces, Chinese Academy of Sciences, Beijing 100101, China Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100083, China 《Science China Earth Sciences》 SCIE EI CAS 2006年第S2期139-149,共11页
Seasonal metrics and environmental responses to forestry soil surface CO2 emission effluxes among three types of lower subtropical forests were consistently monitored over two years with static chamber-gas chromatogra... Seasonal metrics and environmental responses to forestry soil surface CO2 emission effluxes among three types of lower subtropical forests were consistently monitored over two years with static chamber-gas chromatograph techniques among three types of lower subtropical forests. Results showed that annual CO2 effluxes (S+L) reached 3942.20, 3422.36 and 2163.02 CO2 g·m-2·a-1, respectively in the monsoon evergreen broadleaf forest, mixed broadleaf-coniferous forest and coniferous forest. All the three types of forests revealed the same characteristics of seasonal changes with the CO2 effluxes peaking throughout June to August. During this peaking period, the effluxes were 35.9%, 38.1% and 40.2% of the total annual effluxes, respectively. The CO2 emission process responding to the environmental factors displayed significantly different patterns in forestry soils of the three types of forests. The coniferous forest (CF) was more sensitive to temperature than the other two types. The Q10 values were higher, along with greater seasonal variations of the CO2 efflux, indicating that the structurally unique forestry ecosystem has disadvantage against interferences. All the three types of forestry CO2 effluxes showed significant correlation with the soil temperature (Ts), soil water content (Ms) and air pressure (Pa). However, stepwise regression analysis indicated no significant correlation between air pressure and the soil CO2 efflux. With an empirical model to measure soil temperature and water content in 5 cm beneath the soil surface, the CO2 effluxes accounting for 75.7%, 77.8% and 86.5% of the efflux variability respectively in soils of BF, MF and PF were calculated. This model can be better used to evaluate the CO2 emission of soils under water stress and arid or semi-arid conditions. 展开更多
关键词 FORESTRY soil co2 emission SEASONAL dynamic metrics environmental FACTORS responses.
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