近地表土壤中油气微渗漏烃的赋存特征及化探指标的实验性研究

通过对近地表土壤中渗漏烃类气体不同赋存状态的特征分析,结合已知油气藏上方化探指标(顶空气、游离烃、热释烃、酸解烃等)异常的研究,认为这些指标在同一油气藏上方的不同时期的测试含量会有差异,但在各指标异常范围和变化趋势上仍能显示深部油气藏存在的信息,反映出这些指标的有效性、重现性和稳定性,因此,近地表土壤中不同赋存状态的烃类分析可为有效地利用油气化探指标寻找油气藏提供科学依据.     

分量化探方法稳定性、异常重现性及有效性研究--以相山铀矿田为例

在相山铀矿田开展了分量化探方法稳定性、异常重现性及有效性研究。结果表明,分量分析方法稳定性较高,同一样品多次测试结果之间的符合度及不同时间(批次)测试结果的一致性均较好。石里坑地区的重复性测量结果显示,两次测量的分量铀平均含量相近、地球化学波动特征相似、局部分布形态和部分高值区的强度有所差异,但高值区和低值区的展布形态、空间位置吻合较好,说明分量化探的异常重现性较好。云际工作区的分量化探测量结果表明,分量铀高值区(带)与已知矿体的空间对应关系较佳,可有效地指示深部隐伏铀矿体,反映了分量化探在相山盆地铀矿勘查中的有效性及适用性。     

高频红外碳硫仪测定土壤和水系沉积物中的硫实验条件改进

硫是多目标区域地球化学调查项目中的必测元素。应用高频红外碳硫仪测定样品过程中,由于坩埚空白、管路中水蒸汽、样品称样量、样品和助熔剂叠放顺序、助熔剂添加量等因素影响,导致硫测试值的重复性和准确度差,甚至为负数。本文研究了以上因素对硫测试值重复性和准确度的具体影响以及解决措施,着重对样品称样量、样品和助熔剂叠放顺序、助熔剂添加量进行对比实验,优化出适合分析土壤和水系沉积物中硫含量的最佳条件。结果表明：在降低坩埚空白,严格控制仪器气管中湿度的情况下,采用0.08g样品、0.5g铁和1.0g钨三者混合燃烧的方式分析样品后,其校准曲线线性良好（r ≥ 0.9990）。对不同分析结果采用分段做校准曲线校准,结果对数差△lg为-0.036~0.062,RSD为7.13%~9.93%,两者均符合《多目标区域地球化学调查规范（1：2500000）》（DZ/T 0258-2014）中要求,说明本方法分析结果准确度高、重复性良好。     

Mesoscale Reproducibility in Regional Ocean Modelling with a Three-Dimensional Stratification Estimate Based on Aviso-Argo Data

ABSTRACT

For dynamically consistent, high-resolution, yet cost-effective regional oceanic downscaling modelling, an empirical three-dimensional (3D) density estimate based on publicly available datasets is utilized for the Regional Oceanic Modeling System (ROMS) with simple data assimilation (i.e., TS nudging, where TS stands for temperature and salinity). We rely on a method built upon the two-layer model to reconstruct a mesoscale 3D temperature and salinity field, referred to as Tokyo University of Marine Science and Technology (TUMSAT)-TS, using near real-time altimeter-derived dynamic height along with Argo float profiling data. The TUMSAT-TS is first validated using in situ hydrographic data, then is implemented in the Japan Coastal Ocean Predictability Experiment (JCOPE2)-ROMS downscaling system for the Kuroshio region off Japan. We explore the usability of TUMSAT-TS by carrying out three comparative simulations with temperature and salinity nudging towards the (i) TUMSAT-TS and (ii) JCOPE2-TS fields, and (iii) without the nudging. Whereas the unassimilated case fails to properly account for the Kuroshio, both datasets individually are found to help reproduce the mesoscale variability of the Kuroshio, as well as its transient paths, volume transport, associated kinetic energy (KE) and eddy KE, and seasonally varying stratification.