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喷油参数对船舶电控柴油机黑碳排放的影响规律及权重分析 被引量:3
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作者 杨亮 王顺 吕林 《船海工程》 北大核心 2021年第5期96-100,共5页
为了给船舶黑碳减排提供参考,基于台架试验分析喷油正时、共轨压力、预喷油量、主预喷间隔角等因素对船舶柴油机黑碳排放的影响规律,通过随机森林算法计算各影响因素的权重,结果表明:喷油正时和共轨压力对黑碳排放的影响呈“浴盆曲线”... 为了给船舶黑碳减排提供参考,基于台架试验分析喷油正时、共轨压力、预喷油量、主预喷间隔角等因素对船舶柴油机黑碳排放的影响规律,通过随机森林算法计算各影响因素的权重,结果表明:喷油正时和共轨压力对黑碳排放的影响呈“浴盆曲线”型,最佳喷油正时随轨压的增大而减小,最佳共轨压力随喷油正时的增大而减小;预喷油量由3 mg/cyc增至10 mg/cyc时,黑碳排量降低了30%~36%,主预喷间隔角增大时,黑碳排量整体先减小后增大;喷油参数中轨压对于黑碳排放的影响权重最大,喷油正时次之,预喷油量和主预喷间隔角的影响权重最小。 展开更多
关键词 喷油参数 船舶柴油机 黑碳排放 影响权重 随机森林
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船舶黑碳排放测算方法 被引量:1
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作者 严青 张云嵩 +1 位作者 汪璇 栾扬 《造船技术》 2022年第6期55-59,75,共6页
回顾黑碳的定义、黑碳的影响和船舶黑碳排放的研究进展,列举国际海事组织(IMO)自2008年以来关于黑碳内容的相关会议和关于北极船舶黑碳排放主题的提案。描述船舶黑碳排放的测量方法,提出船舶黑碳排放量的计算方法,为后续建立区域船舶黑... 回顾黑碳的定义、黑碳的影响和船舶黑碳排放的研究进展,列举国际海事组织(IMO)自2008年以来关于黑碳内容的相关会议和关于北极船舶黑碳排放主题的提案。描述船舶黑碳排放的测量方法,提出船舶黑碳排放量的计算方法,为后续建立区域船舶黑碳排放测算方法提供依据。 展开更多
关键词 船舶 黑碳排放 测算方法
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船舶柴油机黑碳排放影响因素研究 被引量:1
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作者 王顺 吕林 《内燃机》 2021年第1期14-18,共5页
本文基于船舶柴油机台架试验,研究了柴油机转速、负荷、喷油正时、燃油硫含量、燃油十六烷值、机油型号对船舶黑碳排放的影响。试验结果表明:当转速由1200 r/min上升到1500 r/min时,中高负荷的黑碳排放量减少了23.4%~43.6%;柴油机负荷... 本文基于船舶柴油机台架试验,研究了柴油机转速、负荷、喷油正时、燃油硫含量、燃油十六烷值、机油型号对船舶黑碳排放的影响。试验结果表明:当转速由1200 r/min上升到1500 r/min时,中高负荷的黑碳排放量减少了23.4%~43.6%;柴油机负荷增大到75%时,相对于10%负荷,黑碳排放量增大了约25倍;当喷油正时由7°CA BTDC增大到17°CA BTDC时,黑碳排量降低了42.0%~74.6%;燃油硫含量的变化对黑碳无影响;燃油十六烷值由52.5降低到47.6时,对中低负荷无影响,而100%负荷时的黑碳排量降低约13%;机油型号对黑碳排放量存在影响,高负荷时使用20W50机油时黑碳排量比使用10W40机油时高25.3%~50.0%。 展开更多
关键词 船舶柴油机 黑碳排放 影响因素
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基于QAR数据的飞机全航段黑碳排放量计算与分析 被引量:7
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作者 曹惠玲 李玉铭 汤鑫豪 《环境科学学报》 CAS CSCD 北大核心 2020年第6期1951-1957,共7页
黑碳气溶胶是航空发动机运行过程中产生的一种主要颗粒污染物.为评估飞机全航段的黑碳排放特性,在一阶近似方法(FOA)的基础上,提出一种基于黑碳形成和氧化过程的形成氧化法(FOX).使用GE90-115B型发动机历史QAR数据进行实例分析,结合QAR... 黑碳气溶胶是航空发动机运行过程中产生的一种主要颗粒污染物.为评估飞机全航段的黑碳排放特性,在一阶近似方法(FOA)的基础上,提出一种基于黑碳形成和氧化过程的形成氧化法(FOX).使用GE90-115B型发动机历史QAR数据进行实例分析,结合QAR数据中燃油流量、空气燃料比、燃烧室入口温度、主燃区火焰温度等热力学参数,计算某次飞行全航段的黑碳排放量.结果表明,形成氧化法的计算结果高于一阶近似方法,巡航阶段的总排放量高于起飞着陆循环.分析表明,结合实际飞行数据的形成氧化法,考虑了发动机的性能差异、燃烧品质及外界环境条件对排放特性的影响,能够更加真实有效地评估飞机全航段的黑碳排放量,为飞机排放监测及排放的适航符合性验证等效替代提供更加准确的依据. 展开更多
关键词 航空发动机 QAR 一阶近似方法 形成氧化法 黑碳排放
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国际海事组织污染预防和应急分委会第5次会议热点议题 被引量:2
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作者 张仁平 董乐义 《世界海运》 2018年第5期1-5,共5页
国际海事组织(IMO)污染预防和应急分委会第5次会议(PPR 5)于2018年2月5日至9日在英国伦敦召开。PPR 5会议的主要内容包括化学品安全与污染评估、防止船舶造成空气污染、船舶压载水、OPRC培训教程更新和电子记录簿的使用等议题。对本次... 国际海事组织(IMO)污染预防和应急分委会第5次会议(PPR 5)于2018年2月5日至9日在英国伦敦召开。PPR 5会议的主要内容包括化学品安全与污染评估、防止船舶造成空气污染、船舶压载水、OPRC培训教程更新和电子记录簿的使用等议题。对本次会议主要内容进行梳理和总结,供业界参考。 展开更多
关键词 国际海事组织 污染预防和应急 化学品安全 防止船舶造成空气污染 船舶压载水 国际航运黑碳排放 热点议题
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Anthropogenic Direct Radiative Forcing of Tropospheric Ozone and Aerosols in 1850 and 2000 Estimated with IPCC AR5 Emissions Inventories 被引量:6
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作者 CHANG Wen-Yuan LIAO Hong 《Atmospheric and Oceanic Science Letters》 2009年第4期201-207,共7页
This study estimates direct radiative forcing by tropospheric ozone and all aerosols between the years 1850 and 2000, using the new IPCC AR5 (the Intergovernmental Panel on Climate Change Fifth Assessment Report) em... This study estimates direct radiative forcing by tropospheric ozone and all aerosols between the years 1850 and 2000, using the new IPCC AR5 (the Intergovernmental Panel on Climate Change Fifth Assessment Report) emissions inventories and a fully coupled chemistry-aerosol general circulation model. As compared to the previous Global Emissions Inventory Activity (GEIA) data, that have been commonly used for forcing estimates since 1990, the IPCC AR5 emissions inventories report lower anthropogenic emissions of organic carbon and black carbon aerosols and higher sulfur and NOx emissions. The simulated global and annual mean burdens of sulfate, nitrate, black carbon (BC), primary organic aerosol (POA), secondary organic aerosol (SOA), and ozone were 0.79, 0.35, 0.05, 0.49, 0.34, and 269 Tg, respectively, in the year 1850, and 1.90, 0.90, 0.11, 0.71, 0.32, and 377 Tg, respectively, in the year 2000. The estimated annual mean top of the atmosphere (TOA) direct radiative forcing of all anthropogenic aerosols based on the AR5 emissions inventories is -0.60 W m^-2 on a global mean basis from 1850 to 2000. However, this is -2.40 W m-2 when forcing values are averaged over eastern China (18-45°N and 95-125°E). The value for tropospheric ozone is 0.17 W m^-1 on a global mean basis and 0.24 W m^-2 over eastern China. Forcing values indicate that the climatic effect of aerosols over eastern China is much more significant than the globally averaged effect. 展开更多
关键词 IPCC AR5 emissions inventories AEROSOLS tropospheric ozone direct radiative forcing
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Arctic Oscillation Responses to Black Carbon Aerosols Emitted from Major Regions
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作者 WAN Jiang-Hua LI Shuanglin 《Atmospheric and Oceanic Science Letters》 CSCD 2015年第4期226-232,共7页
The responses of the Arctic Oscillation(AO) to global black carbon(BC) and BC emitted from major regions were compared using the atmospheric general circulation model Geophysical Fluid Dynamics Laboratory(GFDL) atmosp... The responses of the Arctic Oscillation(AO) to global black carbon(BC) and BC emitted from major regions were compared using the atmospheric general circulation model Geophysical Fluid Dynamics Laboratory(GFDL) atmospheric general circulation model(AGCM) Atmospheric Model version 2.1(AM2.1). The results indicated that global BC could induce positive-phase AO responses, characterized by negative responses over the polar cap on 500 h Pa height fields, and zonal mean sea level pressure(SLP) decreasing while zonal wind increasing at 60°, with the opposite responses over midlatitudes. The AO indices distribution also shifted towards positive values. East Asian BC had similar impacts to that of global BC, while the responses to European BC were of opposite sign. South Asian BC and North American BC did not affect the AO significantly. Based on a simple linear assumption, we roughly estimated that the global BC emission increase could explain approximately 5% of the observed positive AO trend of +0.32 per decade during 1960 to 2000. 展开更多
关键词 black carbon Arctic Oscillation linear trend
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Seasonal Variation of Cumulative CO_2 Emission from a Vertisol Under Apricot Orchard in Semi-Arid Southeast Turkey
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作者 G.YILMAZ 《Pedosphere》 SCIE CAS CSCD 2012年第3期322-332,共11页
Understanding the factors affecting the CO 2 emission from agricultural practices is crucial for global warming.A study was performed in an apricot orchard field in the experimental farm of the Harran University,South... Understanding the factors affecting the CO 2 emission from agricultural practices is crucial for global warming.A study was performed in an apricot orchard field in the experimental farm of the Harran University,Southeast Turkey,to i) quantify weekly and seasonal variations of the CO 2 emissions from a Vertisol under apricot orchard;ii) evaluate the difference in CO 2 emission between the area under trees and rows;and iii) assess the relationships between the amounts of CO 2 emissions and environmental parameters for better use and management of the soils from the view point of carbon balance and flux in a semi-arid environment under drip irrigation.Soil CO 2 emission measurements were performed during May 2008 and May 2010,from both under tree crowns (CO 2-UC) and between tree rows (CO 2-BR),on a weekly basis in southeast Turkey with a semi-arid climate.CO 2 emissions were statistically correlated with weather and soil parameters such as air temperature,relative humidity,rainfall,soil water content,and soil temperature at various depths from 5 to 100 cm.The weekly emissions ranged from 82 to 1 110 kg CO 2 ha 1 week 1 and from 96 to 782 kg CO 2 ha 1 week 1 in CO 2-UC and CO 2-BR,respectively.Increase in CO 2 emission in the second year was due to increases in mean air and soil temperatures.The weekly and monthly cumulative CO 2 emissions were positively correlated with the air and soil temperatures.Multiple linear regression analysis explained 35% and 83% variations in average weekly and monthly CO 2 emissions,by using meteorological data.Including the interaction effects of meteorological parameters in regression equations nearly doubled the variance explained by the regression models.According to stepwise regression analysis,soil and air temperatures were found to have the most significant impact on the temporal variability of the soil CO 2 emission. 展开更多
关键词 global warming meteorological data PLOWING soil temperature stepwise regression
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