Implications of estimated and measured thermal conductivity for oceanic heat flow studies

Heat flow data provide constraints on the thermal structure and evolution of the oceanic lithosphere. Because precise determination of the heat flux requires that both the thermal gradient and the thermal conductivity be well determined we have examined the thermal conductivities used in a new Pacific Basin heat flow data set. 43% of the 1600 heat flow determinations rely on values estimated by various methods, rather than directly measured. Although the measured and estimated conductivities have comparable means, the measured conductivities have a standard deviation 50% larger than the estimated, suggesting that the estimated values underestimate the actual variation. We investigate the limitations of using such estimates by examining factors controlling the variations of measured conductivity values. We find that the variation between the closest adjacent sites increases with increasing separation, such that sites within 200 km are on average noticeably closer in conductivity than sites further apart. Contributing to this effect may be the variation of conductivity with lithology (with mean conductivity highest for carbonate oozes, intermediate for deep-sea clays, and least for siliceous oozes) and a possible trend of decreasing conductivity with increasing seafloor depth. Tests with the measured data suggest that the best method for estimating conductivity is using the mean value measured within 200 km. The mean of a larger geographical region is a somewhat poorer predictor, and using the oceanwide mean and the value at the nearest site are poorer still. Approximately 29% of the estimated values were not based on measurements from a reference site. For most others, the reference site was the nearest measurement from the same cruise, typically a large distance away. For those sites where conductivity was not measured, 78% had measured conductivity within 200 km and were reestimated using the local mean, whereas the remaining 22% were reestimated using the regional mean. The resulting change in the estimated conductivity averaged 9% using the local mean and 6% using the regional mean. We suggest that such a procedure be used to improve the utility of the heat flow data set, as an alternative to discarding the large fraction of the available data that does not incorporate measured conductivities.     

核电站温排水对大亚湾鲷科鱼卵、仔鱼分布的影响

在广东大亚湾核电站温排水排放前、后，自１９９３年１月２０日至１９９５年２月２８日对该站附近水域１４个站位共进行６个航次的采样调查，收集鲷科鱼卵、仔鱼样本和同一站位的水温资料。结果表明，各站位的绸科鱼卵、仔鱼的分布在温排水排放前、后与水温变化密切相关。水域升温２—８℃对鲷科鱼类的产卵、孵化和仔鱼生长发育有明显的影响。鉴于目前升温水域范围只限在２ｎｍｉｌｅ内，可以认为整个大亚湾鲷科鱼类的资源和补充尚未受到较大的影响。     

黄海、渤海水温垂直结构数值预报方法研究 Ⅱ．准三维数值预报模式

本文根据黄渤海海区水温资料建立了无维深度η和无维温度θＴ以及相应的水温垂直剖面的相似函数θＴ＝ｆ（η）。在此基础上，设：上均匀层厚度ｈ＝ｈ（ｘ，ｙ，ｔ）、表层水温ＴＳ＝ＴＳ（ｘ，ｙ，ｔ）、上均匀层以下的温度ＴＺ＝ＹＺ（ＹＺ（ｘ，ｙ，ｚ，）、底层温度ＴＨ＝（ｘ，ｙ，ｔ）、流速分量ｕ＝ｕ（ｘ，ｙ，ｔ）和ｖ＝ｖ（ｘ，ｙ，ｔ）及海面起伏ξ＝ξ（ｘ，ｙ，ｔ），提出了水温垂直结构的准三维数值预报模式。模式的求解是用“ＡＤＩ”和“ＨＮ”法进行。文中引列了预报时效为４ｄ的试报结果，效果是令人满意的。     

台站用百叶箱内外气温比对与分析

用双通道自动测温表对台站用的百叶箱内外气温进行了同步比对测量与分析。指出自然通风时，百叶箱对箱内气温变化产生一定程度的滞后和热辐射作用。滞后作用较明显。     

单细胞海藻有机质热演化特征与成烃性能

以单细胞海藻为材料进行热模拟生烃试验。对其不同温度级别下的元素分析。红外光谱和有机差热等测试分析，结果表明，单细胞海藻有机质演化呈现出阶段性特点，从常温到300℃为未成熟阶段。产烃性能好；300-400℃为主要产烃期，有机质已达成熟阶段；400-500℃时海藻有机质产烃性能明显减弱，为过成熟阶段，热模拟试验结果表明，单细胞海藻是良好的生烃原始母质，并清晰地显示出了单细胞海藻有机质的热演化特征和生烃历程。     

WOCE CTD校准标准和我国的WOCE CTD校准实验室

对温度、电导率和压力等物理变量的定义、单位，传感器的实验室校准标准和我国在九五863项目中建立的WOCE水平的CTD校准实验室进行了介绍。     

Diachronous Palaeoproterozoic deformation and metamorphism in the Committee Bay belt,Rae Province,Nunavut: insights from 40Ar–39Ar cooling ages and thermal modelling

Regional‐scale ⁴⁰Ar–³⁹Ar data presented in this paper reveal significant across‐strike and along‐strike age differences in the Committee Bay belt (CBb), Rae Province, Nunavut, Canada, that complement variations in observed monazite ages. ⁴⁰Ar–³⁹Ar hornblende ages are c. 1795, 1775, and 1750 Ma in the western, eastern and central parts of the Prince Albert Group (PAG) domain respectively. The migmatite domain and Walker Lake intrusive complex are characterized by c. 1750–1730 ⁴⁰Ar–³⁹Ar hornblende ages without significant along‐strike variation. The ⁴⁰Ar–³⁹Ar data provide important constraints on the cooling history and on thermal modelling that elucidates the controls on diachroneity and metamorphic patterns within the belt. In the western CBb, prograde monazite growth occurred 26 ± 10 Myr earlier in the migmatite domain (1864 ± 9 Ma; peak P–T = 5 kbar?700 °C) than in the PAG domain (1838 ± 5 Ma; peak P–T = 5 kbar?580 °C). Calculations indicate that this earlier monazite growth results from tectonic thickening of higher heat productivity Archean lithologies in the migmatite domain, which undergoes more rapid prograde heating than the less radiogenetic and lower grade rocks of the PAG domain. Granite generation via biotite dehydration melting at 800 °C and 20 km depth is predicted to occur c. 1835 Ma, in agreement with geochronological constraints. The tectonic burial of crustal domains with contrasting radiogenic properties also explains the general congruence of lower to upper amphibolite facies metamorphic zones generated during the two main orogenic cycles (i.e. M₂–D₁ and M₃–D₂). The modelled timing of prograde monazite growth in the migmatite domain suggests that D₂ tectonic thickening began at 1872 ± 9 Ma, some 8 ± 3 Myr before monzazite growth, coeval with the inferred time of collision of the Meta Incognita terrane with the southern Rae Province. Along‐strike diachroneity, reflected in 25 Myr younger monazite and ⁴⁰Ar–³⁹Ar hornblende ages in the eastern relative to the western PAG domain, cannot be accounted for by heat productivity contrasts along the belt. Instead the younger deformation and metamorphism in the eastern CBb was driven by its proximity to the eastern promontory of the Superior Province which collided with the Rae Province at c. 1820 Ma. The ⁴⁰Ar–³⁹Ar data presented here support the interpretation that the youngest monazite in the CBb crystallized at c. 1790 Ma in the central CBb when this part of the belt was downfolded into a gentle synformal structure while the western part of the belt cooled through ⁴⁰Ar–³⁹Ar hornblende closure. The results of this study illustrate the important influence of contrasting rock properties on the thermal evolution of orogenic belts and on the temporal record of this evolution.     

Data assimilation methods for estimating a heterogeneous conductivity field by assimilating transient solute transport data via ensemble Kalman filter

An ensemble Kalman filter (EnKF) is developed to identify a hydraulic conductivity distribution in a heterogeneous medium by assimilating solute concentration measurements of solute transport in the field with a steady‐state flow. A synthetic case with the mixed Neumann/Dirichlet boundary conditions is designed to investigate the capacity of the data assimilation methods to identify a conductivity distribution. The developed method is demonstrated in 2‐D transient solute transport with two different initial instant solute injection areas. The influences of the observation error and model error on the updated results are considered in this study. The study results indicate that the EnKF method will significantly improve the estimation of the hydraulic conductivity field by assimilating solute concentration measurements. The larger area of the initial distribution and the more observed data obtained, the better the calculation results. When the standard deviation of the observation error varies from 1% to 30% of the solute concentration measurements, the simulated results by the data assimilation method do not change much, which indicates that assimilation results are not very sensitive to the standard deviation of the observation error in this study. When the inflation factor is more than 1.0 to enlarge the model error by increasing the forecast error covariance matrix, the updated results of the hydraulic conductivity by the data assimilation method are not good at all. Copyright © 2012 John Wiley & Sons, Ltd.