耿达短水准异常与汶川8.0级地震

结合龙门山断裂带其他跨断层资料,对耿达短水准在汶川8.0级地震前后的观测资料进行了重新分析,发现耿达短水准在汶川地震前后的异常为当地居民修建生活小区所致,不应视为地震前兆异常。     

长营岭—龙门冲原生晕异常及找矿预测

通过对珊瑚矿田长营岭－龙门冲地区岩石地球化学测量,圈定了该区Ｗ、Ｓｎ、Ｃｕ、Ｚｎ、Ａｓ、Ｂ、Ｆ等元素异常,原生晕严格受ＮＥ和ＮＷ两组断裂控制。综合评价认为处于长营岭钨锡矿带南延带的南风井多元素组合异常是矿异常,该异常明显地受ＮＥ（Ｆ９）断裂和ＮＷ（Ｆ１０）断裂控制,浓集中心位于Ｆ９断裂下盘,与长营岭矿区矿体在ＮＷ断裂下盘富集的规律相同。测区内,异常形态与北区具连续性,异常强度弱于北区,组分分带显示以隐伏花岗岩为成矿中心,但沿矿带由ＮＥ到ＳＷ并无明显的组分分带和元素组合变化,矿田内不仅矿带南延并向ＳＷ方向倾伏,而且很有可能深部隐伏花岗岩体亦分枝向南延伸。     

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2011年初云南东部极端低温冰冻灾害天气气候特征及成因分析

利用NCEP/NCAA再分析资料,国家气候中心74项环流指数及云南省122个观测站资料,结合诊断、合成和相关分析等方法,探讨2011年初云南东部极端低温冰冻灾害天气气候特征及成因,并与2008年初低温冰冻灾害进行对比分析。旨在寻找云南低温冰冻天气的预报着眼点,为提前做好防灾减灾工作提供决策依据。研究表明:500hPa高度场欧亚中高纬呈两槽一脊,西西伯利亚高压脊异常强大,贝巴之间为东西向横槽,东亚中高纬呈"+-+"的高度场距平分布,西太平洋副热带高压异常偏东偏弱,南海副高异常偏南偏弱是2011年1月云南东部频遭冷空气影响的大尺度大气环流背景。另外,相关分析发现NINO4区海温持续异常偏冷对应云南东部气温异常偏低。较2008年初持续近2个月的低温雨雪冰冻灾害相比,虽然2011年灾害影响时间较短,范围较小,但冷空气过程频发,昆明准静止锋长时间控制云南东部,最终造成近50年来的极端低温冰冻灾害。     

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东平-汶上铁成矿带西侧低缓磁异常区找矿前景分析

梁山东丁庄铁矿位于东平-汶上铁成矿带西侧的低缓磁异常区,为区内新发现的沉积变质型铁矿床。通过1∶1万高精度磁法面积测量工作,在区内圈定3个磁异常,并进行钻探验证,证实其中2个为隐伏磁铁矿体引起,矿体赋存于泰山岩群山草峪组中。通过研究矿体的地质特征、磁异常特征,并与区域铁矿成矿条件对比分析,认为区内矿致磁异常特征一般表现为在数十纳特的平缓背景场基础上,突然升高至数百纳特的相对高值异常,具突变特征。该类异常一般呈NW走向,与东平-汶上铁成矿带走向基本一致,其形态一般呈规则的长条带状、椭圆状或串珠状。区域上存在较多与研究区具有相似特征的低缓磁异常,且具备有利的成矿地层条件,因此认为区域上低缓磁异常区具有较大的找矿潜力,找矿前景良好。     

沂南贺家沟地区化探异常特征及找矿方向研究

贺家沟地区位于沂南矽卡岩型金矿典型矿床的外围地区,在矿床成因和成矿模式等方面均具有高度相似性。在该地区开展化探扫面工作,根据化探异常结合该地区的成矿地质条件能快速有效的缩小找矿靶区。本文从化探样品分析数据入手,分别从化探异常下限的确定、化探异常特征、化探元素的组合分类以及主要成矿元素在该地区的分布特征等方面进行分析,从而对该地区的成矿条件有了初步认识。在此基础上圈定了以Au,Ag,Cu,Mo等为主要元素的HS1化探异常,该异常规模较大,浓集中心明显,其中主成矿元素Au具有三级浓度分带,Cu,Ag等其他元素异常亦套合较好。通过开展异常查证工作,在该异常区内发现铜金多金属矿(化)点共3处,矿(化)点与化探异常浓集中心的空间吻合程度较高。该地区化探扫面工作取得了较好的成效,具有较好的找矿前景。     

Advances in understanding of the mechanism for generation of earthquake thermal precursors detected by satellites

Stresses building up during an earthquake preparation phase also manifest themselves in the form of a so called increased land surface temperature (LST) leading to a thermal precursor prior to the earthquake event. This phenomenon has now been validated by our observations of short-term thermal anomalies detected by infrared satellite sensors for several recent past earthquakes around the world. The rise in infrared radiance temperature was seen to vary between 5 and 12 °C for different earthquakes. We discuss in this paper different explanations for the generation of such anomalies that have been offered. Emission of gases due to the opening and closure of micropores upon induced stresses and also the participation of ground water have been propounded as a possible cause for generation of thermal anomalies. Seismo-ionosphere coupling, by which gases like radon move to the earth–atmosphere interface and cause air ionization thus bringing about a change in air temperature, relative humidity, etc., has been put forth by some workers. A mechanism of low frequency electromagnetic emission was tested and experimented by scientists with rock masses in stressed conditions as those that exist at tectonic locations. The workers proposed the positive hole pair theory, which received support from several scientific groups. Positive holes (sites of electron deficiency) are activated in stressed rocks from pre-existing yet dormant positive hole pairs (PHPs) and their recombination at rock–air interface leads to a LST rise. A combination of remote sensing detection of rock mechanics behavior with a perception of chemistry and geophysics has been applied to propose the remote sensing rock mechanics theory. Remote sensing detections of such anomalies confirm so far proposed lab theories for such a hotly debated field as earthquake precursor study by providing unbiased observations with consistency in time and space distribution.     

Calibrating the GOCE accelerations with star sensor data and a global gravity field model

A reliable and accurate gradiometer calibration is essential for the scientific return of the gravity field and steady-state ocean circulation explorer (GOCE) mission. This paper describes a new method for external calibration of the GOCE gradiometer accelerations. A global gravity field model in combination with star sensor quaternions is used to compute reference differential accelerations, which may be used to estimate various combinations of gradiometer scale factors, internal gradiometer misalignments and misalignments between star sensor and gradiometer. In many aspects, the new method is complementary to the GOCE in-flight calibration. In contrast to the in-flight calibration, which requires a satellite-shaking phase, the new method uses data from the nominal measurement phases. The results of a simulation study show that gradiometer scale factors can be estimated on a weekly basis with accuracies better than 2 × 10⁻³ for the ultrasensitive and 10⁻² for the less sensitive axes, which is compatible with the requirements of the gravity gradient error. Based on a 58-day data set, scale factors are found that can reduce the errors of the in-flight-calibrated measurements. The elements of the complete inverse calibration matrix, representing both the internal gradiometer misalignments and scale factors, can be estimated with accuracies in general better than 10⁻³.     

Preprocessing of gravity gradients at the GOCE high-level processing facility

One of the products derived from the gravity field and steady-state ocean circulation explorer (GOCE) observations are the gravity gradients. These gravity gradients are provided in the gradiometer reference frame (GRF) and are calibrated in-flight using satellite shaking and star sensor data. To use these gravity gradients for application in Earth scienes and gravity field analysis, additional preprocessing needs to be done, including corrections for temporal gravity field signals to isolate the static gravity field part, screening for outliers, calibration by comparison with existing external gravity field information and error assessment. The temporal gravity gradient corrections consist of tidal and nontidal corrections. These are all generally below the gravity gradient error level, which is predicted to show a 1/f behaviour for low frequencies. In the outlier detection, the 1/f error is compensated for by subtracting a local median from the data, while the data error is assessed using the median absolute deviation. The local median acts as a high-pass filter and it is robust as is the median absolute deviation. Three different methods have been implemented for the calibration of the gravity gradients. All three methods use a high-pass filter to compensate for the 1/f gravity gradient error. The baseline method uses state-of-the-art global gravity field models and the most accurate results are obtained if star sensor misalignments are estimated along with the calibration parameters. A second calibration method uses GOCE GPS data to estimate a low-degree gravity field model as well as gravity gradient scale factors. Both methods allow to estimate gravity gradient scale factors down to the 10⁻³ level. The third calibration method uses high accurate terrestrial gravity data in selected regions to validate the gravity gradient scale factors, focussing on the measurement band. Gravity gradient scale factors may be estimated down to the 10⁻² level with this method.