CHZ-Ⅱ海洋重力仪重力敏感结构的性能测试与分析     

涂海波  何建刚  刘雷钧  董琴琴  胡明  柳林涛 《大地测量与地球动力学》2015,35(4):711-714

在原有CHZ重力仪研制基础上,设计新一代海洋重力仪CHZ-Ⅱ并进行硬件搭建与测试。阐述了为CHZ-Ⅱ重力敏感结构设计的测试方案、实验过程及其结果分析,主要包括弹性系统的刚度、交叉耦合效应和漂移效应。实验表明,该结构在目前的测试内容下符合设计要求。  相似文献   

我国二氧化碳排放的区域分析   总被引：3，自引：0，他引：3  

曲建升  王琴  陈发虎  曾静静  张志强  李燕 《第四纪研究》2010,30(3)

利用我国能源统计数据,对我国及各省区的CO2排放总量、排放强度、人均排放量和排放密度进行了计算.通过分析发现我国CO2排放具有较为明显的东西部差异,总体表现为东部发达省区排放总量大、排放强度低、人均排放多、排放密度高的特点,而中西部尤其是西部地区则表现出相反的特征.在分析我国CO2排放区域特征的基础上,分析出现以上地域差异的主要原因,并针对区域减排行动可能存在的问题进行了探讨,提出以省区为单位,降低排放强度可以取得实际的、可跟踪的减排效果,但需要考虑到全国各省区在功能定位、减排成本、资源环境条件等方面的差别,以及建立基于技术与资金合作的联合减排机制的可行性和障碍等因素.  相似文献   

中国铁路运输33年来的温室气体排放   总被引：1，自引：0，他引：1  

徐雨晴  何吉成  胡国权 《第四纪研究》2010,30(3)

铁路是我国重要的交通运输方式,但我国至今尚无铁路运输行业温室气体排放量的报道.文章基于我国铁路部门逐年统计数据,计算了 1975～2007年我国铁路机车的温室气体排放量,分析了我国铁路机车温室气体排放强度及其变化特点.结果表明,我国铁路机车温室气体(CO2和N2O)总排放量逐年降低,由1975年的4278×104t CO2当量降至2007年的3844×104t CO2当量,总降幅达10%,年均减排14×104t CO2当量.其中,CO2年排放量整体呈下降趋势,由1975年的4246×104t降至2007年的3645×104t,总降幅达14%,年均减排18.8×104t; N2O年排放量快速增长,由1975年的1088t增至2007年的6681t,年均增加175t,达16%.由于我国铁路蒸汽机车承担的牵引工作量越来越少,其温室气体年排放量逐年降低,1975～2001年年均减少155×104t CO2当量,降幅达3.7%.2002年以后,蒸汽机车基本上从运输领域中被全部淘汰,无温室气体排放.1975～2007年内燃机车和电力机车的排放比重越来越大,其温室气体年排放量逐年上升,内燃机车年均增加54×104t CO2当量,电力机车间接排放量年均增长62×104t CO2当量.温室气体排放强度呈现明显降低趋势,其值由1975年的8.23kg降至2007年的1.34kg CO2当量/百换算吨公里,降幅达84%,年均降低0.22kg CO2当量/百换算吨公里.其中,内燃机车、电力机车和蒸汽机车的温室气体平均排放强度分别为1.51kg,1.68kg和8.74kg CO2当量/百换算吨公里.大规模淘汰排放强度大的蒸汽机车,同时大量运用排放强度低的内燃机车和电力机车,使得我国铁路机车的温室气体排放量和排放强度不断降低,这为减少我国铁路运输行业的温室气体排放作出了重要贡献.另外,我国铁路机车温室气体排放量占全国化石燃料燃烧的温室气体排放总量的比重很小,因此可以说铁路运输是我国交通运输领域中理想的节能减排运输方式.  相似文献   

超临界CO2流体萃取土壤中污染物的应用研究进展     

欧阳勋  陈家玮  张小岗 《地质通报》2010,29(10):1655-1661

CO2在超临界状态下具有许多独特的物理化学性质,作为一种“绿色”溶剂,它具有无毒、无污染、易获取等优点。近年来,有关超临界CO2流体热力学相行为和溶解度性质的研究引起人们广泛的关注,与之密切相关的超临界流体萃取技术已在许多领域得到重视和发展。根据近年国内外运用超临界CO2流体对土壤中多环芳烃、多氯联苯、重金属等污染物的萃取应用,分析了温度、压力、共溶剂等因素对萃取效果的影响,通过与其他土壤修复技术的比较,展望了超临界流体萃取技术应用于土壤修复领域的可行性和研究方向。  相似文献   

模拟CO_2埋藏的煤储层元素迁移实验研究     

刘长江  桑树勋  G.X.Wang  Sue Golding 《中国煤炭地质》2010,(1):20-23,26

采用高压超临界CO2地球化学反应器对CO2在煤储层中的地质埋藏进行模拟,利用电感耦合等离子体发射光谱仪(ICP-OES)以及电感耦合等离子体质谱(ICP-MS)分别对淋滤液和煤样中的10种微量元素进行测试,对煤中微量元素在CO2的地质埋藏过程中的迁移进行了实验研究。结果表明:在CO2的地质埋藏过程中对煤的有机组成和无机矿物等均具有改造作用,从而影响到煤中微量元素的赋存和迁移特征,Cr、Zn、Cu等元素迁移能力相对较强,而Co、Ba、V等元素相对较弱;元素迁移能力大小顺序为:CrZnCuNiCdMnCoBaV。  相似文献   

Unveiling controls of the latitudinal gradient of surface pCO₂ in the Kuroshio Extension and its recirculation regions（northwestern North Pacific） in late spring     

Chenglong Li  Weidong Zhai  Di Qi 《海洋学报(英文版)》2022,41(5):110-123

In the northwestern North Pacific, annual net air-sea CO₂ flux is greatest in the Kuroshio Extension（KE） zone,owing to its low annual mean partial pressure of CO₂（pCO₂）, and it decreases southward across the basin. To quantify the influences of factors controlling the latitudinal gradient in CO₂ uptake, sea surface pCO₂ and related parameters were investigated in late spring of 2018 in a study spanning the KE, Kuroshio Recirculation（KR）, and...  相似文献   

地下水灌溉回水对黄河流域化学风化CO_2消耗估算的影响     

王健  王亮  张龙军 《中国海洋大学学报(自然科学版)》2014,44(9):89-97

本文根据2012年6月和2013年5月采集的河南、宁夏和内蒙等引黄灌区地下水实测数据,并结合文献数据,探讨了引黄灌区地下水离子组成的分布特征。结果表明:因受蒸发作用和人为因素影响较小,深层地下水矿化度和HCO-3的浓度小于浅层水,但HCO-3占阴离子比例大于浅层水。因各灌区蒸发量、降雨量以及岩性的不同,浅层地下水化学组成和风化来源阳离子浓度在各灌区表现出较大的差异。HCO-3占阴离子的比例在河南灌区最高,内蒙灌区中部和宁夏灌区次之,内蒙灌区东西部最低。河南和内蒙灌区风化来源阳离子浓度相差不多,均大于宁夏灌区。灌区浅层地下水灌溉回水高估的黄河流域化学风化消耗CO2的量为23.3×108 mol/a。  相似文献   

The Soil Moisture and Net Primary Production Affected by CO_2 and Climate Change Using a Coupled Model          下载免费PDF全文

PENG Jing  DAN Li 《大气和海洋科学快报》2014,(4):269-274

In this paper, a coupled model was used to estimate the responses of soil moisture and net primary production of vegetation （NPP） to increasing atmospheric CO2 concentration and climate change. The analysis uses three experiments simulated by the second-generation Earth System Model （CanESM2） of the Canadian Centre for Climate Modelling and Analysis （CCCma）, which are part of the phase 5 of the Coupled Model Intercomparison Project （CMIP5）. The authors focus on the magnitude and evolution of responses in soil moisture and NPP using simulations modeled by CanESM, in which the individual effects of increasing CO2 concentration and climate change and their combined effect are separately accounted for. When considering only the single effect of climate change, the soil moisture and NPP have a linear trend of 0.03 kg m^-2 yr^-1 and-0.14 gC m^- 2 yr^-2, respec- tively. However, such a reduction in the global NPP results from the decrease of NPP at lower latitudes and in the Southern Hemisphere, although increased NPP has been shown in high northern latitudes. The largest negative trend is located in the Amazon basin at -1.79 gC m^-2 yr^-2. For the individual effect of increasing CO2 concentration, both soil moisture and NPP show increases, with an elevated linear trend of 0.02 kg m^-2 yr^-1 and 0.84 gC m^-2 yr^-2, respectively. Most regions show an increasing NPP, except Alaska. For the combined effect of increasing atmospheric CO2 and climate change, the increased soil moisture and NPP exhibit a linear trend of 0.04 kg m^2 yr^-1 and 0.83 gC m^2 yr^-2 at a global scale. In the Amazon basin, the higher reduction in soil moisture is illustrated by the model, with a linear trend of-0.39 kg m^-2 yr^-1, for the combined effect. Such a change in soil moisture is caused by a weakened Walker circulation simulated by this coupled model, compared with the single effect of increasing CO2 concentration （experiment M2）, and a consequence of the reduction in NPP is also shown in this area, with a linear trend of-  相似文献   

Verifying Fossil-Fuel Carbon Dioxide Emissions Forecasted by an Artificial Neural Network with the GEOS-Chem Model          下载免费PDF全文

WANG Yi-Nan  Lü Da-Ren  LI Qian  PAN Yu-Bing 《大气和海洋科学快报》2014,(5):377-381

In this study, the authors developed an en- semble of Elman neural networks to forecast the spatial and temporal distribution of fossil-fuel emissions （ff） in 2009. The authors built and trained 29 Elman neural net- works based on the monthly average grid emission data （1979-2008） from different geographical regions. A three-dimensional global chemical transport model, God- dard Earth Observing System （GEOS）-Chem, was applied to verify the effectiveness of the networks. The results showed that the networks captured the annual increasing trend and interannual variation of ff well. The difference between the simulations with the original and predicted ff ranged from -1 ppmv to 1 ppmv globally. Meanwhile, the authors evaluated the observed and simulated north-south gradient of the atmospheric CO2 concentrations near the surface. The two simulated gradients appeared to have a similar changing pattern to the observations, with a slightly higher background CO2 concentration, - 1 ppmv. The results indicate that the Elman neural network is a useful tool for better understanding the spatial and tem- poral distribution of the atmospheric C02 concentration and ft.  相似文献   

Assimilating the LAI Data to the VEGAS Model Using the Local Ensemble Transform Kalman Filter: An Observing System Simulation Experiment          下载免费PDF全文

JIA Bing-Hao  Ning ZENG  XIE Zheng-Hui 《大气和海洋科学快报》2014,(4):314-319

Information on the spatial and temporal pat- terns of surface carbon flux is crucial to understanding of source/sink mechanisms and projection of future atmospheric CO2 concentrations and climate. This study presents the construction and implementation of a terrestrial carbon cycle data assimilation system based on a dynamic vegetation and terrestrial carbon model Vegetation-Global-Atmosphere-Soil （VEGAS） with an advanced assimilation algorithm, the local ensemble transform Kalman filter （LETKF, hereafter LETKF-VEGAS）. An observing system simulation experiment （OSSE） framework was designed to evaluate the reliability of this system, and numerical experiments conducted by the OSSE using leaf area index （LAI） observations suggest that the LETKF -VEGAS can improve the estimations of leaf carbon pool and LAI significantly, with reduced root mean square errors and increased correlation coefficients with true values, as compared to a control run without assimilation. Furthermore, the LETKF-VEGAS has the potential to provide more accurate estimations of the net primary productivity （NPP） and carbon flux to atmosphere （CFta）.  相似文献