夏季金沙江下游水-气界面CO2、CH4通量特征初探

河流是连接大陆和海洋两大碳库的桥梁,在全球碳循环中的作用举足轻重.金沙江作为长江的上游段,对区域碳循环及区域化学风化的影响非常重要.于2015年8月8-18日对金沙江下游水-气界面CO_2与CH_4通量特征进行监测与分析.采用顶空平衡法结合薄边界层模型估算法计算表层水体CO_2与CH_4的分压以及水-气界面的交换通量,并分析环境变量与其之间的相关性.研究发现,金沙江下游表层水体p(CO_2)平均值为2724.84±477.18μatm,表层水体p(CH_4)平均值为59.96±6.74μatm;水-气界面CO_2通量平均值为2.24±0.50 mmol/(m2·h),CH_4通量平均值为0.000163±0.00009 mmol/(m2·h),通量与分压趋势基本保持一致.表层水体p(CO_2)与溶解性无机碳浓度、碱度均呈显著正相关,而p(CH_4)与水温、叶绿素a浓度均呈显著正相关,CO_2通量与p(CO_2)、溶解性无机碳浓度、碱度均呈正相关,CH_4通量与p(CH_4)、风速均呈正相关,其他环境因素对通量的影响不明显,仍需进一步研究.金沙江下游水-气界面CH_4扩散通量较低,而CO_2扩散通量在世界主要河流中属于中等水平.     

三峡水库澎溪河消落区土-气界面CO2和CH4通量初探

水库近岸湿地(消落区)温室气体(CO₂、CH₄)产汇是水库温室气体效应问题的重要组成部分.本文以三峡水库支流澎溪河的白家溪、养鹿两处大面积消落区为研究对象,于2010年6 9月水库低水位运行期间,对近岸消落区土-气界面CO₂、CH₄通量进行监测.白家溪消落区土-气界面CO₂通量均值为12.38±2.42 mmol/(m²·h);CH₄通量均值为0.0112±0.0064 mmol/(m²·h).养鹿消落区CO₂、CH₄通量均值分别为10.54±5.17、0.14±0.16 mmol/(m²·h).总体上,6 9月土-气界面CO₂通量呈增加趋势,而CH₄通量水平呈现显著的递减趋势.消落区土地出露后植被恢复,在一定程度上促进了土壤有机质含量的增加,使得6 9月CO₂释放通量的总体趋势有所增加.消落区退耕后,其甲烷氧化菌的活性得到恢复,加之在土地出露曝晒过程中土壤透气性增强,使得消落区土壤对大气中CH₄吸收氧化潜势增强.尽管如此,仍需进一步的研究以明晰消落区土-气界面CO₂、CH₄产汇的主要影响因素.     

典型农业流域不同类型池塘水体CO2排放特征

内陆水体是大气CO₂收支估算的重要组成部分。农业流域分布着大量池塘景观水体,且具备蓄洪抗旱、消纳污染、水产养殖等多种功能。但是,农业流域不同功能的小型池塘CO₂排放特征尚不清楚。本研究以极具农业流域代表性的烔炀河流域为研究对象,选取流域中用于水产养殖(养殖塘)、生活污水承纳(村塘)、农业灌溉(农塘)、蓄水(水塘)的4个功能不同的景观池塘,基于为期1年的野外实地观测,以明确农业流域小型池塘CO₂排放特征。结果表明,不同功能池塘水体CO₂排放差异显著,受养殖活动、生活污水输入和农田灌溉等人类活动影响,养殖塘((80.37±100.39) mmol/(m²·d))、村塘((48.69±65.89) mmol/(m²·d))和农塘((13.50±15.81) mmol/(m²·d))是大气CO₂的热点排放源,其CO₂排放通量分别是自然蓄水塘((4.52±23.26) mmol/(m²·d))的18、11和3倍。统计分析也表明,该流域池塘CO₂排放变化总体上受溶解氧、营养盐等因素驱动。4个不同景观池塘CO₂排放通量全年均值为(37.31±67.47) mmol/(m²·d),是不容忽视的CO₂排放源,其中养殖塘和村塘具有较高的CO₂排放潜力,在未来研究中需要重点关注。     

亚热带城市湖泊与河流CO2气体通量特征及其影响因素

湖泊、河流等内陆水体是连接陆地生态系统和海洋的“长程碳环路”的重要节点,也是温室气体二氧化碳(CO₂)排放源,在调节陆地、海洋间的碳迁移转换中发挥着重要作用。相对于自然水体,城市水体因面积小、水深浅且受监测方法限制,水-气界面碳通量经常被忽略。为探讨我国亚热带城市水体温室气体排放特征,本研究以湖南省长沙市典型城市水体,包括洋湖、西湖、松雅湖、月湖4个湖泊和湘江长沙段为研究对象,分别于2022年4和10月采用光化学反馈-腔增强吸收光谱法(OF-CEAS)和扩散模型法对水-气界面CO₂通量进行对比测定。结果表明,长沙城市湖泊与河流春季为CO₂排放源,秋季为吸收汇,河流水-气界面CO₂通量呈显著季节差异。河湖之间CO₂通量在春季表现为显著差异,秋季差异不显著。CO₂通量与水体溶解氧、水体总氮浓度等呈显著正相关。2种方法的CO₂通量对比测定在湖泊上显著相关,但对河流而言相关性不显著。研究揭示的城市湖泊与河流CO₂气体的排放特征有利于深入探究城市水体碳的迁移转化,可对全面了解全球气候变化过程和河湖湿地温室气体减排和调控提供科学支撑。     

基于人工神经网络的ChinaFLUX 观测站CO2模拟研究通量*

涡度相关技术的发展, 为准确获取区域尺度的CO₂通量分布格局提供了数据基础. 但由于涡度相关技术自身的局限性, 需要利用模型模拟作为获取区域CO₂通量的重要手段. 可是CO₂通量和其他微气象变量之间的非线性关系给模拟CO₂通量的时空动态变化带来了一定的困难.人工神经网络模型为模拟CO₂通量与其他微气象变量的非线性关系提供了一种新的手段. 在ChinaFLUX三个不同类型(农田、森林、草地)生态系统中, 基于2003年6~8月的半小时涡度相关观测数据, 采用BP人工神经网络模型, 以能量通量(净辐射、潜热、显热和土壤热通量)以及温度(空气温度、土壤温度)和表层土壤水分作为输入变量, 模拟了CO₂通量的动态变化. 结果表明, 人工神经网络模型具有较好的模拟结果, 其R2系数在0.75与0.866之间.RMSE在0.008 ?mol/m²与0.012 ?mol/m²之间, MAE在1.38 ?mol/m²与3.60 ?mol/m²之间, 其中农田和森林生态系统的模拟精度略高于草地生态系统.其次, 通过比较土壤水分要素是否参与模拟的结果表明, 在生长季期间, 不存在土壤水分胁迫的情况下, 土壤水分的参与并不能显著提供模型模拟的精度. 最后, 应用连接权重方法进行了神经网络模型不同输入变量的重要性分析, 指出神经网络模型不完全是一个黑箱模型, 也可以有效地揭示出某些机理性现象.该研究证明, 神经网络模型不仅可以有效地模拟CO₂通量, 也可以揭示出一些机理现象, 为通过涡度相关观测与遥感反演技术的集成途径, 利用已获取的区域尺度能量通量数据, 模拟分析区域尺度的CO₂通量分布格局提供了一种有效的方法.     

三峡水库澎溪河水-气界面CO2、CH4扩散通量昼夜动态初探

三峡水库温室气体效应近年来备受关注.为揭示三峡水库典型支流澎溪河水-气界面CO₂和CH₄通量的昼夜动态规律,明晰短时间尺度下该水域温室气体释放的影响因素,在2010年6月至2011年5月的一个完整水文周年内,选择4个具有代表性的时段(2010年8、11月和2011年2、5月)对澎溪河高阳平湖水域开展昼夜跟踪观测.结果表明:2010年8、11月和2011年2、5月4次采样的CO₂日总通量值分别为-8.34、73.94、28.13和-20.12 mmol/(m²·d),相应的CH₄日总通量值分别为2.22、0.11、0.32和7.16 mmol/(m²·d),不同时期昼夜变化明显.研究水域CO₂和CH₄通量过程不具同步性:CO₂昼夜通量变化可能更显著地受到水柱光合/呼吸过程的影响,但瞬时气象过程(水汽温差、瞬时风速等)在高水位时期亦可对CO₂通量产生显著影响;CH₄昼夜通量变化与水温条件改变更为密切.     

蓄水初期三峡水库草堂河水-气界面CO2和CH4通量日变化特征及其影响因素

为查明三峡水库蓄水初期典型支流水-气界面CO_2和CH_4通量的日变化特征,采用LGR在线分析仪-通量箱法,于2015年9月初在库腹一级支流草堂河回水区开展连续24 h的定位观测.结果表明,24 h监测期内,支流库湾水-气界面CO_2通量变幅为-81.642~180.991 mg/(m~2·h),呈"昼吸夜放"特征,均值为17.346 mg/(m~2·h),总体为释放特征;CH_4全天均表现为释放状态,释放通量均值为0.064 mg/(m~2·h),呈"昼弱夜强"变化.相关分析结果表明,CH_4和CO_2释放通量与风速呈正相关,与表层水温、溶解氧浓度、叶绿素a浓度呈负相关,说明风速物理扰动、浮游植物光合作用是控制草堂河水-气界面气体通量最重要的环境因素.同时,干-支流相互作用形成的特殊水环境(如异重流、水温分层)也与水-气界面温室气体通量过程密切相关,但是其作用机制更为复杂,应开展进一步系统观测和深入研究.     

风尘堆积中SiO2/Al2O3值与粒度的关系及其对东亚冬季风的指示意义

在渭南及洛川剖面将基本未经历风化的黄土样品分离成8个粒级后进行化学分析, 结果表明, <50 mm的各粒级样品中SiO₂/Al₂O₃分子比与粒度f 值呈明显线性负相关, 即在<50 mm粒级范围内颗粒越粗, 黄土的SiO₂/Al₂O₃值越大; 而<50 mm各粒级的含量之和占全岩的98%以上. 在黄土层中, SiO₂/Al₂O₃与全岩粒度变化有较好的可对比性, 而在古土壤中SiO₂/Al₂O₃值反映出一系列全岩粒度无法揭示的信息.     

广东新丰江水库表层水体CO2分压及其影响因素

于2012年7月和2013年1月定点采集新丰江水库表层水样,测定水样的理化及生物学参数,计算水体中二氧化碳分压(p(CO_2))大小并分析其时空变化,探讨新丰江水库p(CO_2)的影响因素及其CO_2源/汇机制.结果表明:丰水期p(CO_2)变化范围为16~3545μatm,均值为999μatm,从水库上游到坝前p(CO_2)逐渐升高;枯水期p(CO_2)变化范围为399~1355μatm,均值为756μatm,从水库上游到坝前p(CO_2)呈下降趋势.丰水期p(CO_2)受温度影响较小,与营养盐(NO-3、DSi)浓度呈正相关,与叶绿素a(Chl.a)、溶解有机碳(DOC)浓度呈负相关,与溶解无机碳(DIC)浓度没有明显相关性;枯水期p(CO_2)受温度影响也较小,受碳酸盐体系的影响,与NO-3、DSi、Chl.a、DIC浓度呈正相关,与DOC浓度没有明显相关性.新丰江水库相对于大气来说是一个通量值偏低的CO_2源.     

CO2气体在地震孕育与发生过程中的作用及其机理研究

通过甘东南地震危险区地震宏观异常观测实例分析,系统研究CO_2气体在地震构造活动过程中的地球化学演化过程,以及发生的一系列酸碱平衡和氧化还原化学反应。结果表明地下深部CO_2气体不仅是其他微量气体Rn等向地表方向运移的载体,而且参与酸碱平衡和氧化还原反应,是地下深部生物化学反应的重要影响条件,地震前兆及宏观异常现象的发生常伴随着CO_2的异常变化。因此CO_2气体可以作为良好的示踪气体,在地震前兆观测及重大异常落实中尤其要重视对其进行监测。     

New remote sensing techniques for the detection and quantification of earth surface CO2 degassing

Earth degassing specifically of carbon dioxide CO₂ is of increasing interest with respect to the global carbon budget, related climate effects, earthquake and volcano eruption mechanisms, as well as plant physiological reactions in gas-rich environments. Investigations in all of these disciplines require the detection of surface CO₂ degassing structures and quantification of their emissions. We introduce minimal thermal change detection based on infrared imaging as a new remote sensing tool for the detection of earth surface thermal anomalies suiting among others to discover earth degassing locations of any origin. The method allows for seamless areal search and monitoring of degassing structures in any terrain. As proof of concept infrared imaging measurements were performed at the Bossoleto vent on the eastern master fault of the Siena Graben (Tuscany, Italy). It is known for the migration of a large amount of CO₂-rich gas from deep geothermal reservoirs. Field data acquired confirmed the qualification of the method. Detection of CO₂ degassing locations from infrared image time series worked reliably and optimal detection conditions were identified (dry, calm, cloudless weather between dusk and dawn). A simple model of heat exchange processes involved and observed was developed. In a first attempt this model was applied to determine the gas exit temperature, the area of gas thermal reach and the gas flux from recorded image series. It is the first method that allows remote areal survey of mofette fields and the associated CO₂ flux quantification sole from infrared image time series.     

Geochemical features of the geothermal CO2-watercarbonate rock system and analysis on its CO2 sources

Taking Huanglong Ravine and Kangding, Sichuan, and Xiage, Zhongdian, Yunnan, as examples, the authors summarize the hydrogeochemical and carbon stable isotopic features of the geothermal CO₂-water-carbonate rock system and analyze the CO₂ sources of the system. It was found that the hydrogeochemical and carbon stable isotopic features of such a system are different from those of shallow CO₂-water-carbonate rock system, which is strongly influenced by biosphere. The former has higher CO₂ partial pressure, and is rich in heavy carbon stable isotope. In addition, such a geothermal system is also different from that developed in igneous rock. The water in the latter system lacks Ca²⁺, and thus, there are few tufa deposits on ground surface, but it is rich in light carbon stable isotope. Further analysis shows that CO₂ of the geothermal CO₂-water-carbonate rock system is a mixture of metamorphic CO₂ and magmatic CO₂.     

Recent pH and CO2 profiles at Lakes Nyos and Monoun, Cameroon: implications for the degassing strategy and its numerical simulation

In situ pH profiles are reported for the first time for Lakes Nyos and Monoun. The pH profiles were converted to CO₂ profiles using HCO₃⁻ profiles calculated from conductivity data. Recent observations (1993–1996) at Lake Nyos indicates that CO₂ still accumulates below 180 m depth at a rate of 125 Mmol year⁻¹. At Lake Monoun, the majority of CO₂ is present below a depth of 60 m, only 25 m below the saturation depth. Consequently, a potential danger of gas explosion is high at both lakes, and artificial degassing of the lakes should be performed as soon as possible. A system for industrial degassing of the lakes is proposed. The system, based on the self-sustained gas lift principle, consists of multiple pipes (14 cm in diameter) with different intake depths; 12 pipes for Lake Nyos (four each at 185, 195 and 205 m) and three pipes for Lake Monoun (at 70, 80 and 90 m). The stepped degassing at different depths is intended to keep the maximum stability of the lakes. The proposed degassing operation was simulated using the code for both lakes. In 5 years, approximately 50% of currently dissolved CO₂ in Lake Nyos and 90% in Lake Monoun will be removed. The expected changes in the thermal and chemical structures of the lakes as degassing proceeds will be most easily monitored with a carefully calibrated CTD equipped with a pH sensor. The simulation indicates that the discharged degassed water will sink to a level of neutral buoyancy, i.e. to a maximum of 70 m at Lake Nyos and 35 m at Lake Monoun. There would be no possibility of triggering a gas explosion by this plunge of discharged water because the water present there would have already been replaced by water at lower CO₂ concentration, during the degassing from shallower pipes.     

Environmental influences on soil CO2 degassing at Furnas and Fogo volcanoes (São Miguel Island,Azores archipelago)

Since October 2001, four soil CO₂ flux stations were installed in the island of São Miguel (Azores archipelago), at Fogo and Furnas quiescent central volcanoes. These stations perform measurements by the accumulation chamber method and, as the gas flux may be influenced by external variables, the stations are equipped with several meteorological sensors. Multivariate regression analysis applied to the large datasets obtained allowed observing that the meteorological variables may influence the soil CO₂ flux oscillations from 18% to 50.5% at the different monitoring sites. Additionally, it was observed that meteorological variables (mainly soil water content, barometric pressure, wind speed and rainfall) play a different role in the control of the gas flux, depending on the selected monitoring site and may cause significant short-term (spike-like) fluctuations. These divergences may be potentially explained by the porosity and hydraulic conductivity of the soils, topographic effects, drainage area and different exposure of the monitoring sites to the weather conditions. Seasonal effects are responsible for long-term oscillations on the gas flux.     

Diffuse CO2 emission rate from Pululahua and the lake-filled Cuicocha calderas,Ecuador

We report herein the first results of two soil CO₂ efflux surveys carried out at Cuicocha lake-filled and Pululahua caldera volcanic systems, Ecuador. A total of 172 and 217 soil CO₂ efflux measurements were taken at the surface environment of Pululahua and Cuicocha calderas respectively, by means of the “accumulation chamber” method during the summer of 2006 to constrain the total CO₂ output from the studied area. Soil CO₂ efflux values ranged from non-detectable up to 48.5 and 141.7 g m^{− 2} d^{− 1} for Cuicocha and Pululahua calderas respectively. In addition, probability graphs were used to distinguish the existence of different geochemical populations. Sequential Gaussian Simulation was used to construct an average map for 100 simulations and to compute the total CO₂ emission at each studied area: 106 and 270 t d^{− 1} (metric tons per day) for Cuicocha (13.3 km²) and Pululahua (27.6 km²) volcanoes respectively.     

A stochastic model for daily subsurface CO2 concentration and related soil respiration

Near-surface soil CO₂ gas-phase concentration (C) and concomitant incident rainfall (P_i) and through-fall (P_t) depths were collected at different locations in a temperate pine forest every 30 min during the 2005 and 2006 growing seasons (and then averaged to the daily timescale). At the daily scale, C temporal variations were well described by a sequence of monotonically decreasing functions interrupted by large positive jumps induced by rainfall events. A stochastic model was developed to link rainfall statistics responsible for these jumps to near-surface C dynamics. The model accounted for the effect of daily rainfall variability, both in terms of timing and amount of water, and permitted an analytical derivation of the C probability density function (pdf) using the parameters of the rainfall pdf. Given the observed positive correlation between daily C and soil CO₂ fluxes to the atmosphere (F_s), the effects of various rainfall regimes on the statistics of F_s can be deduced from the behavior of C under different climatic conditions. The predictions from this analytical model are consistent with flux measurements reported in manipulative experiments that varied rainfall amount and frequency.     

Multi-scale modeling of CO2 dispersion leaked from seafloor off the Japanese coast

A numerical simulation was conducted to predict the change of pCO₂ in the ocean caused by CO₂ leaked from an underground aquifer, in which CO₂ is purposefully stored. The target space of the present model was the ocean above the seafloor. The behavior of CO₂ bubbles, their dissolution, and the advection-diffusion of dissolved CO₂ were numerically simulated. Here, two cases for the leakage rate were studied: an extreme case, 94,600 t/y, which assumed that a large fault accidentally connects the CO₂ reservoir and the seafloor; and a reasonable case, 3800 t/y, based on the seepage rate of an existing EOR site. In the extreme case, the calculated increase in ΔpCO₂ experienced by floating organisms was less than 300 ppm, while that for immobile organisms directly over the fault surface periodically exceeded 1000 ppm, if momentarily. In the reasonable case, the calculated ΔpCO₂ and pH were within the range of natural fluctuation.     

微囊藻CO2-浓缩机制基因型的动态变化及其对CO2的竞争效应

由于具有高效的CO₂-浓缩机制,蓝藻在低CO₂浓度条件下具有竞争优势。然而,随着大气中CO₂浓度急剧增加,蓝藻CO₂-浓缩机制如何响应的研究较少。因此,本文以常见水华蓝藻——微囊藻为研究对象,通过对滇池微囊藻水华动态及不同CO₂-浓缩机制基因型进行监测,探讨蓝藻CO₂-浓缩机制基因的微进化特征及其动态变化。同时,设置高(0.08%)、中(0.04%)、低(0.02%)CO₂浓度(V/V)进一步揭示微囊藻不同CO₂-浓缩机制基因微进化对CO₂的竞争效应。结果表明:滇池无机碳浓度在4个采样点存在空间差异性,均呈现先降低后升高的趋势,并以HCO₃^-为主要无机碳存在形式。调查期间,东大河、观音山、洛龙河和生态所4个采样点的微囊藻均以sbtA基因型占绝对优势,相对丰度远高于bicA基因型。在不同水华时期,bicA基因型和sbtA基因型呈现相反的变化趋势,即从...     

CO2/CaCl2 solution interfacial tensions under CO2 geological storage conditions: Influence of cation valence on interfacial tension

The effectiveness of CO₂ storage in deep saline aquifers and hydrocarbon reservoirs is governed, among other factors, by the interfacial tension between the injected CO₂ and formation water (brine). Experimental data on CO₂/water and CO₂/NaCl solution have revealed that the interfacial tension depends on the pressure, temperature and water salinity. However, there is still a lack of data for other salts (such as MgCl₂ and CaCl₂) which are also present in aquifers and carbonate reservoirs.