Future Expansion Of Agriculture and Pasture Acts to Amplify Atmospheric CO<Subscript>2</Subscript> Levels in Response to Fossil-Fuel and Land-Use Change Emissions

The expansion of crop and pastures to the detriment of forests results in an increase in atmospheric CO₂. The first obvious cause is the loss of forest biomass and soil carbon during and after conversion. The second, generally ignored cause, is the reduction of the residence time of carbon when, for example, forests or grasslands are converted to cultivated land. This decreases the sink capacity of the global terrestrial biosphere, and thereby may amplify the atmospheric CO₂ rise due to fossil and land-use carbon release. For the IPCC A2 future scenario, characterized by high fossil and high land-use emissions, we show that the land-use amplifier effect adds 61 ppm extra CO₂ in the atmosphere by 2100 as compared to former treatment of land-use processes in carbon models. Investigating the individual contribution of each of the six land-use transitions (forest &#x02194; crop, forest &#x02194; pasture, grassland crop) to the amplifier effect indicates that the clearing of forest and grasslands to arable lands explains most of the CO₂ amplification. The amplification effect is 50% higher than in a previous analysis by the same authors which considered neither the deforestation of pastures nor the ploughing of grasslands. Such an amplification effect is further examined in sensitivity tests where the net primary productivity is considered independent of the atmospheric CO₂. We also show that the land-use changes, which have already occurred in the recent past, have a strong inertia at releasing CO₂, and will contribute to about 1/3 of the amplification effect by 2100. These results suggest that there is an additional atmospheric benefit of preserving pristine ecosystems with high turnover times.     

CAS-ESM2.0 Successfully Reproduces Historical Atmospheric CO2 in a Coupled Carbon-Climate Simulation

The atmospheric carbon dioxide(CO₂) concentration has been increasing rapidly since the Industrial Revolution,which has led to unequivocal global warming and crucial environmental change. It is extremely important to investigate the interactions among atmospheric CO₂, the physical climate system, and the carbon cycle of the underlying surface for a better understanding of the Earth system. Earth system models are widely used to investigate these interactions via coupled car...     

太平洋海气CO2通量对气候事件的响应

应用一个嵌套了海洋生物地球化学循环的太平洋环流碳循环模式,分析了1960～2000年太平洋不同海区海气碳通量随时间的变化。模拟结果显示,赤道太平洋为大气CO₂的排放区,南、北太平洋(南、北纬15°至模式计算区域南、北边界)为吸收区。3个海区海气碳通量随时间均存在显著的波动,其中赤道太平洋海气碳通量年际波动最显著。3个海区海气碳通量年际波动对气候事件的响应并不一致,在El Niño年赤道太平洋冷舌的强度和总溶解无机碳(DIC)的浓度以及输出生产力均会受到上升流减弱的影响而降低,La Niña年这些海气碳通量控制要素的分布情况则正好相反,但在南北太平洋副热带以及高纬度海区,El Niño和La Niña对这些要素带来的影响却并不一定相反,对输出生产力的影响甚至是一致的。以海表温度(SST)为例考察海气碳通量与物理场之间的关系表明,在赤道太平洋上升流对DIC的影响是控制海气碳通量变化的主要因素,而在其他海区,尤其是副热带海区,由于垂直运动的年际变化较小,且生物生产力水平较低,SST的波动对海气碳通量年际变化的影响更加重要。     

油蒿在高浓度CO2条件下对干旱胁迫的反应

采用人工模拟试验方法研究毛乌素沙地沙生植物群落的优势种－－油蒿在高浓度CO2条件下对土壤干旱胁迫的反应。结果表明，不同程度的土壤干旱胁迫使油蒿生长与生物量下降，随着干旱程度的加重而增加负面影响；大气中CO2浓度升高对油蒿的生长发育起到“施肥作用”；虽然在高浓度CO2条件下发生土壤干旱胁迫对油蒿的影响也是负效应，但CO2的“施肥效应”依然存在，“施肥效应”的生理机理是CO2浓度升高提高了光合作用速率。     

江苏地区二氧化碳浓度时空分布特征分析

利用瓦里关和上甸子大气本底站观测的月平均CO₂浓度数据对GOSAT卫星反演的CO₂浓度数据进行验证,结果表明GOSAT产品与台站观测数据有较好的一致性.利用2009年6月—2011年5月GOSAT反演的CO₂浓度数据,分析了江苏地区CO₂浓度的时空变化特征,结果表明:1)975 hPa高度层CO₂浓度高于850 hPa高度层,CO₂浓度的水平变化要小于垂直变化;2)在季节变化上,CO₂浓度冬季最高,夏季最低,这可能与植被光合作用的强弱变化有关;比较前后两年的CO₂浓度数据,夏季和秋季的增速较快,冬季和春季的增速较慢;3)在日变化上,发现徐州和南京站02时CO₂浓度最高,14时CO₂浓度最低,这可能也与植被光合作用的强弱有关.     

Spatial Inhomogeneity of Atmospheric CO2 Concentration and Its Uncertainty in CMIP6 Earth System Models

This paper provides a systematic evaluation of the ability of 12 Earth System Models(ESMs) participating in the Coupled Model Intercomparison Project Phase 6(CMIP6) to simulate the spatial inhomogeneity of the atmospheric carbon dioxide(CO₂) concentration. The multi-model ensemble mean(MME) can reasonably simulate the increasing trend of CO₂ concentration from 1850 to 2014, compared with the observation data from the Scripps CO₂ Program and CMIP6 prescribed data,...     

厌氧条件下土壤反硝化气体(N2、N2O、NO)和CO2排放——氦环境培养—气体同步直接测定法的应用初探

反硝化过程是维系闭合氮循环所必需的氮素形态转化环节。土壤反硝化过程速率及产物比的直接测定是研究氮循环过程机理的基础,但却是一个难题。为解决此难题,德国卡尔斯鲁厄技术研究所与中国科学院大气物理研究所最近合作新建了一套通过氦环境培养-气体同步直接测定土壤反硝化气体--氮气（N2）、氧化亚氮（N2O）、一氧化氮（NO）和二氧化碳（CO2）排放的系统和与之配套的三阶段培养方法。为检验该新建系统和配套方法测定土壤反硝化过程的准确性和可靠性,以华北地区广泛分布的盐碱地农田土壤（采自山西运城）为研究对象开展实验室培养试验,在初始可溶性有机碳（DOC）供应比较充足约300 mgC kg–1干土（d.s.）的条件下,测试了不同初始土壤硝态氮含量水平（10、100 mgN kg–1d.s.左右,分别表示为10N和100N）的反硝化气体和CO2排放过程。结果显示：100N的反硝化速率（定义为N2、N2O 和NO 排放速率之和）显著高于10N 处理（统计检验显著水平p＜0.01）;两个处理的反硝化产物均以N2为主（质量比分别占77%和75%）,产物的NO/N2O摩尔比分别为1.2和1.5,N2O/N2摩尔比均为0.19;土壤反硝化气体动态排放速率及相关指标的测定结果表明,培养土壤中消失的硝态氮被回收81%～87%,培养前后的氮平衡率达92%～95%。因此,该新建方法测定土壤反硝化速率和产物比的结果具有很好的可靠性,为定量研究土壤反硝化过程提供了有效的直接测定手段。研究中检测到的土壤反硝化产物NO/N2O摩尔比大于1,不同于以往用液体培养基纯培养反硝化细菌得出的NO/N2O摩尔比远小于1的结论。这意味着,不能用NO/N2O摩尔比小于1与否来推断土壤排放的N2O和NO是主要来源于反硝化作用还是硝化作用。     

Spatial and Temporal Distributions of Atmospheric CO2 in East China Based on Data from Three Satellites

East China(23.6°–38.4°N, 113.6°–122.9°E) is the largest developed region in China. Based on CO₂ products retrieved from the Greenhouse Gases Observing Satellite(GOSAT), the spatial and temporal distributions of CO₂ mixing ratios in East China during 2014–17 are discussed, and the retrieved CO₂ from AIRS(Atmospheric Infrared Sounder) and OCO-2(Orbiting Carbon Observatory-2), as well as WLG(Waliguan) background station observations, are compared with those of GOSAT...     

Application of the Principle of Superposition to Detect Nonlinearity in the Short-Term Atmospheric Response to Concurrent Land-Use Changes Associated with Future Landscapes

 The changes in the atmospheric response (e.g., in the variables of state, the amount of cloud-and precipitating particles, the water- and energy fluxes) to concurrent land-use changes are exemplarly examined for various landscape scenarios since the cessation of open-pit mining. The principle of superposition is applied to detect areas where the atmospheric response is either enhanced or diminished according to concurrent land-use changes as compared to simple land-use changes. The results show that nonlinear behavior of a given quantity may occur in areas without significant changes in this quantity and that a quantity may be significantly changed without finding nonlinearity. Moreover, the concurrent land-use changes do not necessarily yield a stronger atmospheric response than simple land-use changes. In addition to the size of the patches, where land-use changes, the contrast in the hydrologic and thermal behavior of the changes is decisive in measuring the magnitude of the response. Enhancement and diminish ment seem also to depend on the land-use adjacent to the altered land-use. Received December 22, 1998/Revised September 1, 1999     

Detection of Anthropogenic CO2 Emission Signatures with TanSat CO2 and with Copernicus Sentinel-5 Precursor (S5P) NO2 Measurements: First Results

China’s first carbon dioxide(CO₂) measurement satellite mission, TanSat, was launched in December 2016. This paper introduces the first attempt to detect anthropogenic CO₂ emission signatures using CO₂ observations from TanSat and NO₂ measurements from the TROPOspheric Monitoring Instrument(TROPOMI) onboard the Copernicus Sentinel-5 Precursor(S5P) satellite. We focus our analysis on two selected cases in Tangshan, China and Tokyo, Japan.We found that t...     

The drivers of Chinese CO2 emissions from 1980 to 2030

China's energy consumption doubled within the first 25 years of economic reforms initiated at the end of the 1970s, and doubled again in the past 5 years. It has resulted of a threefold CO₂ emissions increase since early of 1980s. China's heavy reliance on coal will make it the largest emitter of CO₂ in the world. By combining structural decomposition and input–output analysis we seek to assess the driving forces of China's CO₂ emissions from 1980 to 2030. In our reference scenario, production-related CO₂ emissions will increase another three times by 2030. Household consumption, capital investment and growth in exports will largely drive the increase in CO₂ emissions. Efficiency gains will be partially offset the projected increases in consumption, but our scenarios show that this will not be sufficient if China's consumption patterns converge to current US levels. Relying on efficiency improvements alone will not stabilize China's future emissions. Our scenarios show that even extremely optimistic assumptions of widespread installation of carbon dioxide capture and storage will only slow the increase in CO₂ emissions.     

二氧化碳的气候效应与华北干旱问题

本文评述了1987年两次二氧化碳气候效应国际学术会议的情况,进而讨论了这种效应对我国温度与降水变化的可能影响。最后,根据10~2—10~5年时间尺度温度变化与降水变化的对应关系,认为华北的干旱有可能向趋向缓和的方向变化。     

Effects of an Urban Park and Residential Area on the Atmospheric CO2 Concentration and Flux in Seoul, Korea

The CO₂ concentrations and fluxes over an urban forest site (Namsan) and an urban residential region (Boramae) in Seoul, Korea, during the non-growing season (2–4 March 2011), the growing season (10–12 June 2011), and the late-growing season (22–24 September 2011) were analyzed. The CO₂ concentrations of two sites showed nearly the same diurnal variation, with a maximum value occurring during the night and a minimum value occurring during daytime, as well as the same seasonal variation, with a maximum value during the non-growing season (early spring) and a minimum value during the growing season (summer). The CO₂ flux over the urban forest did not show any typical diurnal variation during the non-growing season, but did show diurnal variation with a small positive value during the night and a large negative value during daytime in the growing and late-growing seasons due to photosynthesis in the urban forest. The CO₂ flux over the urban residential region showed a positive daily mean value for all periods, with large values during the non-growing season and small values during the growing season, and it also showed diurnal variation with two maxima at 0600–1000 LST and 1800–2400 LST, and two minima at 0300-0600 LST and 1100-1500 LST, and was strongly correlated with the use of liquefied natural gas for cooking and heating by surrounding houses.     

Ground-Based Atmospheric CO2, CH4, and CO Column Measurements at Golmud in the Qinghai-Tibetan Plateau and Comparisons with TROPOMI/S5P Satellite Observations

Measurements of carbon dioxide(CO₂), methane(CH₄), and carbon monoxide(CO) are of great importance in the Qinghai-Tibetan region, as it is the highest and largest plateau in the world affecting global weather and climate systems. In this study, for the first time, we present CO₂, CH₄, and CO column measurements carried out by a Bruker EM27/SUN Fourier-transform infrared spectrometer(FTIR) at Golmud(36.42°E, 94.91°N, 2808 m) in August 2021. The mean and...     

东亚地区二氧化碳体积分数变化特征

利用2004年以来东亚地区10个本底观测站大气φ(CO₂)观测资料,分析了各站大气φ(CO₂)的变化特征及其各站之间的差异,讨论了下垫面特征、源汇作用等对φ(CO₂)变化的影响.结果表明:10个本底站大气月均φ(CO₂)有明显的季节变化,高值多出现在冬春等寒冷季节,而低值则多出现在6—9月,属于北半球的夏季;大气φ(CO₂)日变化趋势较为一致,15时(当地时间)前后达到全天最低,随后φ(CO₂)升高,并在日落后继续积累,至清晨7时(当地时间)前后达到全天最高,之后φ(CO₂)随着太阳辐射的增强而逐渐降低,且平均φ(CO₂)水平与下垫面植被量成反比,φ(CO₂)日变化的幅度与下垫面植被量成反比.作为全球基准站之一的瓦里关山站,2004—2008年φ(CO₂)年均值逐年增加,年增长率为2.28×10^-6/a.     

钢铁工业CO2的排放现状及主要的捕集方法

简要讨论了目前CO₂等温室气体的危害、钢铁工业CO₂的排放现状及来源,并针对我国钢铁行业的发展状况,分析了温室气体CO₂的捕集方法.     

应用涡动相关法计算水热、CO2通量的国内外进展概况

目前涡动相关法被认为是国内外测定CO₂、水热通量的最可靠方法。国外应用此方法解决了均匀下垫面假设下森林和农田等生态系统的CO₂、水热通量的计算问题,目前致力于非理想下垫面(真实地形)的CO₂、水热通量的计算。而国内应用涡动相关技术起步较晚,用此方法测定水热通量已有一定的知识积累,但测定CO₂通量还处于资料收集阶段。我国自然生态系统、环境外交和社会经济可持续发展都要求精确查明我国CO₂的时空变化特征和动力学机制,这应是今后研究的重点,并提出了应用该方法存在的主要问题及可能的解决方法,指出值得深入研究的领域。     

Numerical Simulation of CO2 Concentrations in East Asia with RAMS-CMAQ

The regional air quality modeling system RAMS-CMAQ(Regional Atmospheric Modeling System and Models-3 Community Multi-scale Air Quality) was developed by incorporating a vegetation photosynthesis and respiration module(VPRM) and used to simulate temporal-spatial variations in atmospheric CO2 concentrations in East Asia,with prescribed surface CO2 fluxes(i.e.,fossil fuel emission,biomass burning,sea-air CO2 exchange,and terrestrial biosphere CO2 flux).Comparison of modeled CO2 mixing ratios with eight ground-based in-situ measurements demonstrated that the model was able to capture most observed CO2 temporal-spatial features.Simulated CO2 concentrations were generally in good agreement with observed concentrations.Results indicated that the accumulated impacts of anthropogenic emissions contributed more to increased CO2 concentrations in urban regions relative to remote locations.Moreover,RAMS-CMAQ analysis demonstrates that surface CO2 concentrations in East Asia are strongly influenced by terrestrial ecosystems.     

Comparison of PM2.5 and CO2 Concentrations in Large Cities of China during the COVID-19 Lockdown

Estimating the impacts on PM_2.5pollution and CO₂emissions by human activities in different urban regions is important for developing efficient policies.In early 2020,China implemented a lockdown policy to contain the spread of COVID-19,resulting in a significant reduction of human activities.This event presents a convenient opportunity to study the impact of human activities in the transportation and industrial sectors on air pollution.Here,we investigate the variations in air quality attributed to the COVID-19 lockdown policy in the megacities of China by combining in-situ environmental and meteorological datasets,the Suomi-NPP/VIIRS and the CO₂emissions from the Carbon Monitor project.Our study shows that PM_2.5concentrations in the spring of 2020 decreased by 41.87%in the Yangtze River Delta(YRD)and 43.30%in the Pearl River Delta(PRD),respectively,owing to the significant shutdown of traffic and manufacturing industries.However,PM_2.5concentrations in the Beijing-Tianjin-Hebei(BTH)region only decreased by 2.01%because the energy and steel industries were not fully paused.In addition,unfavorable weather conditions contributed to further increases in the PM_2.5concentration.Furthermore,CO₂concentrations were not significantly affected in China during the short-term emission reduction,despite a 19.52%reduction in CO₂emissions compared to the same period in 2019.Our results suggest that concerted efforts from different emission sectors and effective long-term emission reduction strategies are necessary to control air pollution and CO₂emissions.