An Improved Method for Calculating Paleoheat Flow from Vitrinite Reflectance Profiles

lNTRODUCTIONIt is wel1 established that the vitrinite reflectance (R<, ) de-pends on the temperature history that a basin has undergone.In general, Ro is a function of maximum paleotemperature andeffective heating time. Thus, the paleotemperature of sedi-ments and the value of vitrinite ref1ectance are controlled by theflow of heat Q(t) into the basin and by the thermal parametersof the sediments. Therefore, in principle, it is possible to cal-culate the thermal vitrinite reflectance of …     

高应力条件下的岩芯电磁性能变化

根据标准晶格模型理论,在高应力作用下,岩石的Si-O键最外层电子将被挤入晶格间隙里,松散外逸的电子云在电场中将产生直流电流（DC）,进而吸收电磁波,转换成交流电流（AC）。直流电流来源于量子力学穿隧效应电子和断键电子。穿隧效应电子的形成过程和原理:氧原子的最外电子被束缚在浅位能井（shallow potential well）（0.38 V）,当高应力作用时,电子吸收部分能量,增加其动能,虽然这种轻微的动能增加不足以使电子克服并跳出它的位能井（potential well）,但它足以增加穿过井壁（well wall）进入晶格空隙间的概率,这个概率乘以可用氧原子的数目即为由于隧穿效应形成电子云的电子数量,其量级通常为微微库伦（picocoulombs）到纳米库伦（nanocoulombs）。断键电子的形成过程和原理:从微裂纹开始断裂键释放电子,并且裂纹成核点极可能开始是平行排列的,每当Si-O键断裂时,就会产生一个+Si悬键,伴随着一个自由电子附着在-O原子上,这个电子将从原子跃迁到原子,这种电子电流与裂纹的表面积和电池电极的收集效率成正比。断键形成的电子云比穿隧效应多很多。两种电子均被试验所证实。在高应力条件下岩石破裂之前,由电子穿隧效应,DC缓慢增加,随着岩石破裂的发生而导致断键电子增多,DC急剧增加;AC的电压振幅（V）随电流（I）增大而减小,当电流减小到正常时,在岩石破裂后电压振幅回归正常;遵守能量守恒原理,吸收的电磁波能量（E）与交流电流功率（V×I）相等,即E=V×I。研究结果表明电磁波监测可用于探测地壳高应力变化和岩石破裂特征,当应力达到岩体断裂的临界强度时,其应变晶体结构开始释放越来越多的外逸电子,最终岩体晶体结构断裂产生一个地震或滑动事件。岩石破裂的电磁性能变化研究可用于研发电磁波地学监测仪器,电磁波监测可以作为地应力监测的一种补充和对比分析方法,两种方法相结合比地应力监测一种方法更可靠。此外,在高应力条件下岩石还有其它现象:应变蠕变辐射、光发射、声发射、静电等,这些现象的观测也是预测地质事件需要考虑的条件。      

宁蒗铜厂河铜矿床成矿条件研究

宁蒗铜厂河铜矿床系喜马拉雅期隐伏斑岩体外接触带玄武岩系热液型铜矿床，其主要含矿层位为上二叠统玄武岩组三段（P2β^3）与黑泥哨组（P2h)，主干控矿构造为南北向断裂体系，铜矿化均产于NW向F1断裂的下盘（南盘）。矿区具显著的成矿多期，多阶段性和矿化体水平，垂直分带性规律，通过对碳，氧，硫等稳定同位素和包裹体分析及成矿热液演化特征探讨，建立了铜矿热液成矿模式。     

论大气模式的设计

文中提出了设计大气模式的原则:包含有可能达到目的的有关制约大气过程的物理因子和物理机制;模式整体性质合理;计算稳定,精确;有合适的网格和分辨率;适当的计算域和模式各部分之间协调。并分别对它们进行了讨论。最后,特别强调了设计目的和模式的一致,还对各不同预报模式中所考虑的因子、物理过程的相对重要性进行了讨论。     

TOVS资料的变分处理方法在青藏高原地区的数值试验

首次在测站稀少的高原地区引入经变分技术处理的TOVS资料,使用MM5数值模式对高原地区降水数值预报难点进行了研究。探讨了解决高原地区测站少、数值预报模式初始场信息误差大的技术关键问题,提出了采用TOVS资料在高原地区增加初始场信息的构思。数值试验结果表明,应用变分法处理后的TOVS资料,可显著地提高高原初始场信息的可靠性。考虑夏季高原地区是对流多发区特点,本文采用非静力MM5模式,并在模式初始场中增加了TOVS资料,弥补了测站稀少的高原地区使用非静力模式的不足之处。研究结果表明,本文采用的TOVS资料技术方案可能是高原区域数值模式降水预报的有效途径,并为开拓卫星资料的应用领域提供了技术思路与理论分析依据。     

Profiles and Source Apportionment of Nonmethane Volatile Organic Compounds in Winter and Summer in Xi’an,China, based on the Hybrid Environmental Receptor Model

Summer and winter campaigns for the chemical compositions and sources of nonmethane hydrocarbons(NMHCs)and oxygenated volatile organic compounds(OVOCs)were conducted in Xi’an.Data from 57 photochemical assessment monitoring stations for NMHCs and 20 OVOC species were analyzed.Significant seasonal differences were noted for total VOC(TVOC,NMHCs and OVOCs)concentrations and compositions.The campaign-average TVOC concentrations in winter(85.3±60.6 ppbv)were almost twice those in summer(47.2±31.6 ppbv).Alkanes and OVOCs were the most abundant category in winter and summer,respectively.NMHCs,but not OVOCs,had significantly higher levels on weekends than on weekdays.Total ozone formation potential was higher in summer than in winter(by 50%)because of the high concentrations of alkenes(particularly isoprene),high temperature,and high solar radiation levels in summer.The Hybrid Environmental Receptor Model(HERM)was used to conduct source apportionment for atmospheric TVOCs in winter and summer,with excellent accuracy.HERM demonstrated its suitability in a situation where only partial source profile data were available.The HERM results indicated significantly different seasonal source contributions to TVOCs in Xi’an.In particular,coal and biomass burning had contributions greater than half in winter(53.4%),whereas traffic sources were prevalent in summer(53.1%).This study’s results highlight the need for targeted and adjustable VOC control measures that account for seasonal differences in Xi’an;such measures should target not only the severe problem with VOC pollution but also the problem of consequent secondary pollution(e.g.,from ozone and secondary organic aerosols).     

影响冬小麦产量的气象要素定量评价模型

利用冬小麦生育期间的逐日气象资料、冬小麦产量和生理气象指标资料,计算了冬小麦全生育期标准化日照时数、有效积温和标准化降水量;在进行通径分析的基础上,分别计算了日照、温度和降水对冬小麦气象产量的贡献率;运用积分回归分析,得到了影响冬小麦产量的逐旬日照时数、有效积温和降水量的影响系数,构建了冬小麦产量气象要素影响定量评价模型。实例应用表明,利用通径分析和积分回归原理计算的气象要素影响系数,能够准确反映冬小麦生长发育过程与气象条件的关系;建立的冬小麦产量气象要素影响定量评价模型能够定量评价全生育期各气象要素对冬小麦产量的影响,具有较高的科学性和准确性;提出的气象要素定量评价技术路线,为开展气象要素定量评价业务服务奠定了很好的技术基础。     

不同背景场条件下AREM模式预报效果评估分析

分析了2005年6月1日至11月31日以T213分析场为背景场和以AVN（Aviation）分析场为背景场条件下AREM（Advanced Regional Eta Model）模式降水预报效果,并对两分析场计算日平均偏差和均方根标准差,分析偏差分布、总结两者之间的差别。结果表明：AREM模式在其他条件完全相同,分别使用两种分析场做背景场条件下,出现了降水预报效果的较明显差异,总体上以AVN分析场为背景场条件下AREM模式的预报效果好于以T213分析场为背景场;对两分析场进行统计学对比,发现两分析场在高度、温度和相对湿度3个要素上存在较大的差异,两分析场在新疆北侧的西伯利亚、内蒙古东北部及俄罗斯东南部区域、孟加拉湾、青藏高原等地区存在较大偏差,而这些地区的天气系统对我国天气有重要的影响。     

A one-dimensional Explicit Time-dependent cloud Model (ETM): Description and validation with a three-dimensional cloud resolving model

An algorithm for a one-dimensional Explicit Time-dependent cloud Model (ETM) that takes into account non-hydrostatic pressure, entrainment, cloud microphysics, lateral and vertical eddy mixing processes is developed and tested against a state-of-the-art cloud resolving three dimensional mesoscale model—the Advanced Regional Prediction System (ARPS). The numerical schemes and sub-grid scale processes are rather similar in both ETM and ARPS, although the dimensionality is different.Results show that the ETM is able to simulate the complete lifecycle for a cloud cell, featuring comparable zones of maximum vertical velocity, and overshooting layers on the cloud top. Heat and moisture fluxes within the cloud column of the ETM occur at the same level as ARPS, giving confidence towards adequate formulations in ETM. However, mass flux fields are not in good agreement; there is significant difference in intensity and the altitude where maxima occur. Sensitivity of the ARPS cloud to the amplitude and depth of the initial thermal bubble was examined; the resulting cloud showed sensitivity to both parameters. The maximum vertical velocity decreases with greater amplitude and occurs earlier. This was used as a tuning parameter to ensure similarity in the lifecycle of ETM and ARPS clouds.     

Validation of OML,AERMOD/PRIME and MISKAM Using the Thompson Wind-Tunnel Dataset for Simple Stack-Building Configurations

A comprehensive dataset on dispersion behind rectangular buildings has been used to analyse the performance of two dispersion models in respect to their handling of building effects: the Danish OML model and the US AERMOD model with the PRIME building algorithm; additionally, the German MISKAM model has been assessed. OML and AERMOD are regulatory plume models with limited requirements in terms of input and computing resources, whereas MISKAM is a computational fluid dynamical model, and as such much more demanding. For most scenarios considered, the degree of misprediction in respect to the maximum concentrations is less than a factor of two for OML and AERMOD. However, in respect to the concentration at a specific location, especially in the near field, both models often result in larger mispredictions. MISKAM provides more accurate predictions.