江西省冬水田休闲期甲烷排放研究

利用85个气象站的观测资料和14个农业气象观测站水稻生育期资料,以及第二次土壤普查数据,基于气温与冬水田休闲期甲烷排放通量的指数关系模型,分析了江西省2000—2013年冬水田休闲期甲烷排放因子和排放量的时空分布特征。结果表明:1)江西省冬水田甲烷排放因子无显著的上升趋势;2)江西省冬水田休闲期甲烷排放平均通量为7.66 mg/(m2·h),平均年排放因子为406.5 kg/hm2,其中2007年排放通量为1.214×105 t,占稻田甲烷排放的12.4%;3)吉安、赣州、抚州、上饶和宜春市是江西省冬水田休闲期甲烷排放的主要地区,累计约占全省排放量的75.0%;4)各设区市冬水田休闲期甲烷排放量主要决定于各地水田面积的大小,赣州市除外。     

碳中和愿景下的污水处理厂温室气体排放情景模拟研究

污水处理厂运行过程中大量释放甲烷(CH4)和氧化亚氮(N2O),是重要的人为温室气体排放源.基于2005—2015年统计资料和IPCC核算方法,估算了2005—2015年中国生活污水处理厂CH4和N2O排放,分析了其排放特征和影响因素;依据碳中和愿景设定3种减排情景(低减排、中减排和高减排),并预估了2020—2050...     

稻田甲烷排放抑制剂实验结果分析

经过稻田试验鉴别分析，证实已试制的农药型甲烷排放抑制剂GCH和肥料型抑制剂PB-1．对水稻田甲烷排放有抑制效果并能减轻病害，对水稻有增产作用。     

填埋场甲烷排放因素分析及甲烷减排研究进展

垃圾填埋场甲烷排放是全球人为温室气体排放的重要来源,对于整个大气中温室气体增加引起的气候效应的影响不容忽视,是世界各国现代化进程中迫切需要解决的一个严重的社会公害问题.文章从填埋场甲烷产生的相关因素、垃圾处理现状和填埋场甲烷减排技术等方面对国内外研究现状做了总结.甲烷的产生受填埋场中的垃圾特性、含水率、温度、pH值、填埋时间、渗滤液含量和其他因素影响.当前的填埋场减排技术包括原位减排、资源化利用和末端控制等,填埋场可以从多方面共同作用实现减排目标.     

石油与天然气生产过程甲烷逃逸排放检测与核算研究现状及建议

甲烷作为油气生产中的主要气态污染物和增温潜势较强的一类温室气体,其逃逸排放检测与核算是中国油气行业温室气体控制与减排过程中的首要问题。通过比较国内外油气行业逃逸甲烷排放核算方法,以及总结当前国内外油气田现场开展的甲烷排放检测研究,对油气行业企业级温室气体清单编制提出了建议。在甲烷逃逸排放核算方面,由于生产过程、工艺等出现的变化,建议加快建立符合我国油气生产实际情况的排放因子,纳入放空气燃烧的周期变化、绿色完井措施使用、陆上/海上油气生产等内容,鼓励油气生产企业通过设备组件统计、现场实测等方式进行排放因子更新。针对逃逸甲烷现场检测数据不足,影响核算结果对比的现状,在开展油气生产过程现场检测时,建议自下而上与自上而下检测方法相结合,保证检测结果的可验证性、可重复性,并谨慎看待针对部分油气生产区块的检测结果进行大尺度区域甲烷逃逸排放量的推算结果。     

我国能源活动CO2排放在2020—2022年之间达到峰值情景和可行性研究

全球到2100年实现将温度上升控制在和工业化前相比2℃以内,已经成为一个政策目标。本文结合中国能源环境政策综合评估（IPAC）模型的近期研究结果,分析了实现全球2℃温升目标下我国能源活动的CO₂排放情景,并对其关键因素进行研究,得到实现这些情景的可行性。研究表明,考虑到我国经济转型、能源效率提升、可再生能源和核电的发展、碳捕获和碳封存技术,以及低碳生活方式的转变,我国能源活动的CO₂排放是可以在2025年之前,甚至更早（如在2020—2022年）实现排放峰值,峰值总量在90亿t左右,之后开始下降,这和我国在全球2℃温升目标情景中给予的碳空间相一致,支持我国未来在全球温室气体减排中的国际合作路径,以及国内低碳发展政策的制定。实现这样的减排路径,需要在既有的环境和能源政策之外制定针对气候变化减缓的明确和长期的政策,如碳定价。     

中国稻田甲烷产生和排放研究 Ⅱ.模式研究和减排措施

主要介绍了近 2 0年来稻田甲烷排放的模式研究和排放量的估算以及减少稻田甲烷排放的措施。数值模式是估算稻田甲烷排放量的一条有效途径 ,模式的研究现在正处于发展阶段。介绍了几个主要的模型 ,既有物理过程模型也有经验模型。年排放量的估算范围为 6 79～ 4 1 4Tg ,随着技术的发展和大量实验的进行估算值的精度正得到不断的提高。减排措施是减少稻田甲烷排放的必要手段 ,但是目前的减排技术均处于研究阶段 ,应用还不成熟     

我国华中地区稻田甲烷排放特征

本文主要讨论地处我国华中水稻生态区的湖南红壤稻田的CH4排放特征。稻田CH4排放的日变化都有一致的规律，即在下午16:00左右出现最大值；CH4排放的日变化幅度与天气条件和水稻植物体有关；CH4排放的日变化与温度日变化的相关性很好（R>0.90）。早稻和晚稻的CH4排放季节变化规律有明显的差别，这主要是由于早、晚稻水稻生长期间的天气特别是空气温度变化的差异引起的，早稻CH4排放率在水稻生长中期（6月）略大，而晚稻在水稻移栽后几天内CH4排放就达到整个季节中的最大值，以后随时间逐渐降低；缺水会使CH4排放率明显降低，而且在重新灌水后相当长时间内CH4排放率没有回升；CH4排放在全有机肥的田中最大，然后依次是常规施肥、全沼渣肥及化肥田；尿素、氯化钾和复合肥的多施可降低稻田CH4排放率；不同施肥田中CH4排放率的温度效应不同；施肥是控制CH4排放的一种可行手段；在整个晚稻生长季节中瞬时CH4排放率与瞬时温度呈明显的指数关系；在1991年双季水稻生长季节中，稻田中CH4的排放量为67.96 g·m-2，其中早稻的CH4排放率为0.36 g·m-2·d-1，晚稻为0.48 g·m-2·d-1。     

我国杭州地区秋和稻田的甲烷排放

1987年秋季在杭州郊区采用一套全自动的观测系统,对稻田的甲烷排放进行了观测。在整个晚稻灌溉期内,稻田是大气甲烷的一个源地,其甲烷释放率最高可达240mg/m~2·h。甲烷释放率具有很强的季节性变化,在水稻成熟期之前,甲烷释放率一般在40-60mg·CH_4/m~2·h的水平上波动,在成熟期间则降为10mg·CH_4/m~2·h的水平。除移栽期外的整个水稻生长期间的甲烷平均释放率为39mg/m~2·h。甲烷释放率具有明显的日变化,一般在午夜至凌晨3—4点达最大值,白天较低,变化也较小。这可能与水稻植物体由于其生理上的日变化引起的甲烷气体传输能力的日变化有关。实验没有观测到不同施肥(K_2SO_4和菜饼)对甲烷释放率的明显影响。阴雨天的降温一般在2—3天后引起甲烷释放率的迅速下降,这可能是因土壤中发酵细菌如产甲烷菌数量的减少造成的。尽管甲烷释放率和土壤温度在整个生长期间基本上是逐步下降的,但两者之间并没有简单的正相关性。土壤中产生的甲烷气体只有一小部分释放到大气中,从土壤中冒出来的气泡往往可引起释放率的急剧上升。1985年全球稻田的甲烷释放量估计为134±3lTg(1Tg=10~(12)g),其中12±26Tg和30±6Tg分别来自亚太地区和中国稻田。     

面向我国碳中和、碳达峰的大气甲烷观测卫星现状与发展趋势分析

甲烷（CH₄）是辐射强迫仅次于二氧化碳（CO₂）的重要温室气体,减少CH₄排放是控制全球增温,实现碳中和目标的必要手段。面对碳中和战略需求,快速定位排放源并定量监测CH₄排放量,准确估算全球和区域CH₄源汇分布,对减排措施的制定、实施和评价均具有重要的现实意义。此外,结合长期CH₄观测数据和气候系统模型探索大气CH₄浓度变化规律,是预测和积极应对气候变化的前提。IPCC 2006年国家温室气体清单指南2019修订版正式提出了利用“自上而下”方法计算通量、核验排放清单的方法,表明获取全球范围内的高精度高时空分辨率CH₄观测数据势在必行。为了实现碳中和目标,本文首先从大气CH₄研究需解决的几个关键科学问题入手,分析了CH₄的星载探测需求,总结了CH₄星载探测的现状和发展趋势,并简要介绍了中国第二代碳卫星的设计思路。同时,星载CH₄探测还依赖于高精度的反演算法提供可靠的数据产品,以实现监测和实际应用的目的。因此,本文进一步阐述了卫星遥感CH₄反演算法及相应数据产品在排放量监测和通量反演中的应用,论述了提升反演算法计算效率和精度,开发甲烷烟羽快速识别算法和建立通量反演算法的必要性。最后,本文从探测、数据获取和应用的角度进行总结,表明了CH₄卫星观测在碳中和目标实践中的科学应用潜能。     

CH4和N2O的辐射强迫与全球增温潜能

CH₄和N₂O作为主要温室气体,自工业革命以来排放量急剧增加,已经被列入《京都议定书》要求控制它们的排放。本文利用高光谱分辨率的辐射传输模式,计算了CH₄、N₂O在晴空大气和有云大气条件下的瞬时辐射效率和平流层调整的辐射效率,以及它们的全球增温潜能(GWP)和全球温变潜能(GTP),并根据模式结果拟合了CH₄和N₂O的辐射强迫的简单计算公式。本文的研究表明:CH₄和N₂O在有云大气下的平流层调整的辐射效率分别为4.142×10-4 W m-2 ppb-1和3.125×10-3 W m-2 ppb-1 (1ppb=10-9),经大气寿命调整后的辐射效率分别为3.732×10-4 W m-2 ppb-1和2.987×10-3 W m-2 ppb-1,与IPCC(2007)的相应结果高度一致。CH₄和N₂O 100年的全球增温潜能GWP分别为16和266;100年的脉冲排放的全球温变潜能GTPP分别为0.24和233;持续排放的全球温变潜能GTPS分别为18和268。它们在未来全球变暖和气候变化中,影响仅次于CO₂,仍然起着非常关键的作用。     

华北平原冬麦田土壤CH4的吸收特征研究

利用静态箱/气相色谱(GC)法,对华北平原冬小麦拔节-成熟期间麦田土壤CH₄气体通量进行了测定,得出华北平原典型冬麦田土壤是大气CH₄的弱吸收汇。试验期间土壤CH₄通量存在明显的季节变化和日变化,麦田拔节-成熟期间土壤CH₄通量日平均值为-18.3μg·m^-2·h^-1,波动范围为-4.3-24.4μg·m^-2·h^-1;在土壤CH₄通量的日变化中,观测到麦田土壤在午间和夜间都有一个吸收峰,峰值出现的时间因生育期不同而有所不同。试验期间CH₄通量日平均值与土壤温度关系不明显,而与土壤水分呈负相关(α=0.01);日变化中土壤CH₄通量与地表温度的相关性较差,而与5cm地温相关密切。麦田拔节-成熟期间土壤CH₄通量日平均值随NH4+-N施用量的增加呈递减规律,农田秸秆还田后不利于土壤对CH₄的吸收。     

Methane emission from rice paddies

Methane release rates from rice paddies have been measured in Andalusia, Spain, during almost a complete vegetation period in 1982 using the static box system. The release rates ranged between 2 and 14 mg/m²/h and exhibited a strong seasonal variation with low values during the tillering stage and shortly before harvest, while maximum values were observed at the end of the flowering stage. The CH₄ release rate, averaged over the complete vegetation period, accounted for 4 mg/m²/h which results in a worldwide CH₄ emission from rice paddies of 35–59×10¹² g/yr if we assume that the observed CH₄ release rates are representative of global conditions. The CH₄ release rates showed diurnal variations with higher values late in the afternoon which were most likely caused by temperature variations within the upper layers of the paddy soils. Approximately 95% of the CH₄ emitted into the atmosphere by rice paddies was due to transport through the rice plants. Transport by bubbles or diffusion through the paddy water was of minor importance. Incubation experiments showed that CH₄ was neither produced nor consumed in the paddy water. The relase of CH₄ from rice paddies caused a diurnal variation of CH₄ in ambient air within the rice-growing area with maximum values of up to 2.3 ppmv during the early morning, compared to average daytime values of 1.75 ppmv.     

Examining the aerosol indirect effect over China using an SO2 emission inventory

The relationship between SO₂ emissions and the effective particle radius of low-level water clouds (r_e) over China was investigated to determine anthropogenic effects on clouds. Sulfur dioxide emission values were obtained from a statistical inventory, and r_e origins were retrieved by satellite remote sensing on a 0.5° grid. Comparisons between annual mean SO₂ emissions and r_e showed generally decreasing r_e values, explained by the Twomey effect. The existence of the Twomey effect is supported by comparisons with simulated aerosol optical depths. Results further suggest that clouds over land show sensitivity to the Twomey effect as well as clouds over the ocean.     

Behaviour of H2O2, NH3, and black carbon in mixed-phase clouds during CIME

We investigated the partitioning of trace substances during the phase transition from supercooled to mixed-phase cloud induced by artificial seeding. Simultaneous determination of the concentrations of H₂O₂, NH₃ and black carbon (BC) in both condensed and interstitial phases with high time resolution showed that the three species undergo different behaviour in the presence of a mixture of ice crystals and supercooled droplets. Both H₂O₂ and NH₃ are efficiently scavenged by growing ice crystals, whereas BC stayed predominantly in the interstitial phase. In addition, the scavenging of H₂O₂ is driven by co-condensation with water vapour onto ice crystals while NH₃ uptake into the ice phase is more efficient than co-condensation alone. The high solubility of NH₄⁺ in the ice could explain this result. Finally, it appears that the H₂O₂–SO₂ reaction is very slow in the ice phase with respect to the liquid phase. Our results are directly applicable for clouds undergoing limited riming.     

半导体激光端面泵浦Nd:YVO4/KTP固体激光的实验研究

搭建了一套以中心输出波长为808.5 nm的半导体激光端面泵浦Nd:YVO₄激光晶体产生1 064 nm红外激光,然后以腔内KTP晶体倍频的方法将红外激光倍频为532 nm绿光激光的固体激光实验系统,研究了808.5 nm的泵浦半导体激光的输出功率与注入电流的关系及与532 nm绿光输出功率的关系,以及KTP倍频晶体的相位匹角、泵浦光的聚焦位置和固体激光器的腔长等因素对532 nm绿光输出功率的影响.实验结果表明:提高泵浦半导体激光的泵浦功率、缩短固体激光器的腔长、将泵浦光聚焦到Nd:YVO₄晶体内部以及正确选择KTP晶体的相位匹配角能够提高532 nm绿光的输出功率.     

Characteristics of organic and elemental carbon in PM2.5 samples in Shanghai, China

Shanghai is the largest industrial and commercial city in China, and its air quality has been deteriorating for several decades. However, there are scarce researches on the level and seasonal variation of fine particle (PM_2.5) as well as the carbonaceous fractions when compared with other cities in China and around the world. In the present paper, abundance and seasonal characteristics of PM_2.5, organic carbon (OC) and elemental carbon (EC) were studied at urban and suburban sites in Shanghai during four season-representative months in 2005–2006 year. PM_2.5 samples were collected with high-vol samplers and analyzed for OC and EC using thermal-optical transmittance (TOT) protocol. Results showed that the annual average PM_2.5 concentrations were 90.3–95.5 μg/m³ at both sites, while OC and EC were 14.7–17.4 μg/m³ and 2.8–3.0 μg/m³, respectively, with the OC/EC ratios of 5.0–5.6. The carbonaceous levels ranked by the order of Beijing > Guangzhou > Shanghai > Hong Kong. The carbonaceous aerosol accounted for  30% of the PM_2.5 mass. On seasonal average, the highest OC and EC levels occurred during fall, and they were higher than the values in summer by a factor of 2. Strong correlations (r = 0.79–0.93) between OC and EC were found in the four seasons. Average level of secondary organic carbon (SOC) was 5.7–7.2 μg/m³, accounting for  30% of the total OC. Strong seasonal variation was observed for SOC with the highest value during fall, which was about two times the annual average.     

利用FY-4A卫星光学数据对中国近地面PM2.5浓度的估算和检验分析

对FY-4A卫星的气溶胶光学厚度（AOD）产品进行检验,并根据卫星相关观测资料,通过改进后的PMRS方法,反演得到中国近地面PM_2.5质量浓度网格化分布。结果表明,FY-4A卫星反演不同站点AOD与地基观测网（AERONET）观测结果吻合较好,但存在一定的低估或高估现象,相关系数区间为0.54—0.87。将细粒子比（FMF）以0.4为界进行划分,FMF＞0.4时,拟合结果较FMF≤0.4时更接近于AERONET观测结果;但FMF≤0.4时,卫星反演的AOD稳定性优于FMF＞0.4时。通过引入AOD的大小,改进FMF＞0.4时对细粒子柱状体积消光比（VE_f）的估算算法,并通过改进后的PMRS方法对中国近地面PM_2.5浓度进行逐时反演,其反演结果和地面观测结果相关较好,其中,乌鲁木齐、石家庄和徐州观测点的相关系数均高于0.7,但数值上仍存在高估或低估,误差结果由多种因素决定。空间分布中,卫星反演的中国2019年近地面PM_2.5浓度月均值与近地面观测的结果有较好的对应关系,二者逐月演变趋势基本一致,基本可以反映出中国近地面大气细粒子的空间分布,特别是秋、冬季京津冀周边区域、汾渭平原等污染高值区均与地面观测对应较好。      

Production of N2O,CH4, and CO2 from soils in the tropical savanna during the dry season

Emissions of N₂O, CH₄, and CO₂ from soils at two sites in the tropical savanna of central Venezuela were determined during the dry season in February 1987. Measured arithmetic mean fluxes of N₂O, CH₄, and CO₂ from undisturbed soil plots to the atmosphere were 2.5×10⁹, 4.3×10¹⁰, and 3.0×10¹³ molecules cm^-2 s^-1, respectively. These fluxes were not significantly affected by burning the grass layer. Emissions of N₂O increased fourfold after simulated rainfall, suggesting that production of N₂O in savanna soils during the rainy season may be an important source for atmospheric N₂O. The CH₄ flux measurements indicate that these savanna soils were not a sink, but a small source, for atmospheric methane. Fluxes of CO₂ from savanna soils increased ninefold two hours after simulated rainfall, and remained three times higher than normal after 16 hours. More research is needed to clarify the significance of savannas in the global cycles of N₂O, CH₄, CO₂, and other trace gases, especially during the rainy season.