甘肃大桥金矿地球化学异常特征对比

通过对大桥金矿成矿地质特征研究的基础上,对矿区1∶20万区域化探异常特征、1∶5万水系沉积物测量异常特征及1∶1万土壤测量异常特征进行了分析和对比,认为该区化探工作随着比例尺的增大,异常元素增多,异常强度增强,异常浓集中心更加明显,显示出主成矿元素异常和相关伴生元素的继承性和多样性。异常元素组合显示,矿区中、大比例尺化探工作圈定的异常中,金、汞、砷、锑、银等中、低温元素异常发育,成为大桥金矿重要的找矿指示元素和直接找矿指标。原生晕特征标明,金及伴生元素异常展布与矿体产状基本一致,而异常强度在顶、底板明显减弱,说明赋矿层位和岩性对矿体的分布控制作用明显。本文旨在探讨该矿床不同介质系列化探异常特征,为西秦岭区化探找金工作提供新的范例。     

3维场景植被冠层多波段模拟研究进展

植被冠层辐射散射信号中蕴含了丰富的植被信息,通过构建植被冠层辐射散射模型,可以实现植被结构等生物物理参数的遥感定量反演。迄今为止,可见光/近红外、热红外、微波波段均已发展了大量的模型,这些模型在参数反演方面各具优势,但不同波段的模型又有其自身的局限性。跨波段的联合模拟可以实现模型间的优势互补,进而提高地表参数的反演精度,近年来已有学者专注于可见光/近红外与热红外模型,热红外与微波模型,主被动微波模型,以及可见光/近红外与微波模型的联合模拟和协同反演,但多是两两联合,且主要是基于经验模型或解析模型。基于3维场景的植被冠层辐射散射特性模拟模型可以细致刻画不同组分的结构和空间分布特征,对于由植被结构引起的多次散射和组分比例变化的考虑具有优势。本文主要介绍了3维模拟模型在可见光/近红外、热红外和微波波段,以及跨波段联合模拟方面的研究进展,从模型机理、场景统一、以及组分理化参数的统一的角度,探讨了构建多波段3维模拟系统的可行性,展望了多波段3维模拟模型的发展趋势。     

黄河中游夏季降水异常的先兆特征和预测方法

本文利用黄河中游61站降水资料,分析了其变化规律和同期及前期环境场特征,并建立了夏季降水预测模型。研究发现：黄河中游夏季降水具有显著的年际变化特征,显著周期在3年左右;黄河中游夏季降水主要受到同期东亚高空急流、西太平洋副热带高压(以下简称副高)以及贝加尔湖附近低槽的影响,当急流和副高偏强（弱）偏北（南）、贝加尔湖附近高度场偏低（高）时,黄河中游降水偏多（少）。另外,前期秋季南方涛动指数、北非副热带高压（20°W~60°E）、南海副热带高压（100°~120°E）、北半球副高强度及北半球极涡强度发生异常时,对夏季环流产生影响,从而影响黄河中游夏季降水,据此,建立预测模型。评估发现该模型具有较强的预测能力,可用于黄河中游夏季降水的定量预测。     

青藏高原与东亚地区暖季MCSs统计特征的对比分析

利用1996-2010年逐时红外云顶亮温(TBB)数据,对青藏高原(下称高原)和东亚地区暖季(3-9月)中尺度对流系统(MCSs)进行了普查,获得MCSs各项特征数据集;结合CMORPH降水资料对MCSs降水特征进行了分析,在此基础上又对高原和东亚地区的MCSs特征进行了对比分析.结果表明:(1)高原是东亚地区MCSs高频发生区域,高原MCSs的平均发生频次远高于东亚25°N以北地区,是东亚25°N以北地区唯一的MCSs活动高频区.高原腹地是高原地区MCSs发生的高频区,在31°N,88°E附近MCSs的发生频次最高.(2)高原地区 MCSs分布有明显的月际变化,春季主要出现在高原北部,夏季主要出现在高原中东部和南部.高原地区MCSs的月际变化特征与东亚地区基本一致,东亚夏季风是其月际变化的重要影响因子.(3)高原地区MCSs存在明显的单峰型日变化特征,但春、夏季日变化特征略有不同,高原MCSs的日变化较东亚地区更为显著.(4)高原地区MCSs的降水频次为5.6％,降水贡献率为10.1％,最大降水频次为12％,最大降水贡献率为27％;与东亚地区相比,高原的MCSs降水偏小.(5)高原地区的MCSs大多为向东移动且移速缓慢以及短生命史的MβCS,平均生命史为4.6h,平均面积约为11.2×10-1km2,平均移速为31.5 km·h-1,东移的MCSs占59.4％;与整个东亚地区的MCSs相比,高原的MCSs面积和尺度都较小,生命史略短且移速慢,云顶平均TBB和平均最低TBB均偏高.     

接地电阻随季节及天气过程变化规律分析

为了解框架结构建筑物基础接地电阻的季节变化特征及天气过程对其变化的影响,分析了2010年广州从化气象局框架建筑物基础接地电阻和相关气象要素的自动气象站观测资料。从季节变化特征来看,框架结构接地电阻相对较为稳定,月平均值2月最大为0.78 Ω,9月份最小为0.57 Ω,全年变化最大值约为0.21 Ω。统计季节变化曲线和暴雨过程发现,接地体电阻与1.5 m土壤温度和1.0 m土壤含水量呈现明显的负相关,接地电阻减小值与暴雨的强度无明显的相关性。文中还对较长时间无降水的干旱过程进行了分析,结果表明：干旱时框架结构接地电阻值有明显的上升趋势,尤其在夏季,干旱对接地电阻影响较大。     

Study on Quantitative Identification Sand and Dust Storm Using MODIS Data

In order to detect the scope and the intensity quanti cationally, the spectrum characteristic of sand and dust storm was analyzed in detail by using several MODIS data; bands that can distinguish sand and dust from cloud and surface were detected; two indices for determining the scope and intensity of sand and dust storm were found out, and were tested in several storms. Our study result shows: 1) The spectral characteristic of sand and dust in solar wavelengths is that the reflectance increases with the increasing of the wavelength. This is similar to the characteristic of the spectrum of soil. Also, the reflectance of large size dusts increases faster than small size dusts. 2) Small size dusts show typical characteristic of aerosol, being sensitive to blue band of 0.46 μm and insensitive to short wave infrared bands of 1.6 and 2.1 μm. 3) Large size dusts do not have aerosol characteristic, not sensitive to blue band but sensitive to short wave infrared bands. 4) Bands of 3.7 and 8.5 μm are sensitive to dusts. The difference of two bands can be used to identify sands and dusts and reflect the intensity to a certain extent. And 5) the two indices are very effective to monitor sands and dusts by testing a lot of sand and dust storm cases during the period of 2002-2005. Also, the method is simple and easy for operational use.     

固体潮潮汐因子的特征频谱及其应用

本文应用非线性谱分析中的最大熵谱分析方法（ＭＥＭ）、和一般线性功率谱的分析方法，对固体潮潮汐因子的时间序列进行了综合研究，指出固体潮潮汐因子的时间序列中普遍存在明显的半月左右周期的特征频谱；将其应用于地震前兆的分析与探索，对固体潮潮汐因子特征频谱中的前兆变化特征进行了解释，得出结论：半月左右周期的频率域，是固体潮观测中前兆响应的一个重要主频域。     

W UMa型相接双星的理论研究

本文回顾了W UMa型相接双星观测和理论研究的历史。总结了W UMa型相接双星观测特性和理论研究的成果。最后讨论了W UMa型相接双星理论模型研究中存在的问题及其解决这些问题的一些可行方法。     

Dynamics of seasonal recharge beneath a semiarid vegetation on the gnangara mound,Western Australia

To estimate seasonal changes in recharge to the underlying sandy aquifer, the soil water dynamics of the unsaturated zone was monitored down to a depth of 20 m over a period of three years (1985 to 1987). The measurements were made by a neutron probe at eight locations beneath a native vegetation in a semiarid region, Western Australia, receiving precipitation of 775 mm yr^?1. A relatively simple method, based on the analyses of sequentially measured soil water profiles involving utilization of zero flux plane in the unsaturated zone, is presented and used to compute seasonal recharge rates. Drainage fluxes (recharge rates) below two specified depths were estimated. These were: R₁ (water flux at a depth of 10 m, just below the maximum rooting depth) and R₂ (water flux at a depth of 18 m, just above the water table). These two estimates were significantly different both on a seasonal and annual basis, but their cumulative values for the three year period were very similar. While the annual precipitation varied from 525 to 850 mm yr^?1, the corresponding spatially averaged R₁ varied from 34 to 149 mm yr^?1, and R₂ varied from 65 to 80 mm yr^?1. A significant difference in recharge between the upslope and downslope positions on a hillslope was ascribed to differences in vegetation density of the understorey and differences in hydraulic properties of subsoils. For the three year period, the average R₁ and R₂ were 13 per cent and 10 per cent of the precipitation respectively. These values compare favourably with a long-term estimate based on an environmental tracer technique.     

Deposit modeling of a nickel belt in Finland

Data from 34 Ni−Cu deposits of the 315^c-striking, 420-km long, and 10–40-km wide Kotalahtinickel belt have been recorded in the previously described system of the Ore Data File of Finland. For comparison data from four Ni−Cu deposits outside the belt have been collected. The statistical treatment of the data begins with cluster analysis and four classes are distinguished on the basis of 303 data elements. These classes form eight groups within the linear belt. Two groups containing the largest deposits, Hitura and Kotalahti, are processed by characteristic analysis, and factor analysis is applied to test the interdependence of the characteristics. This paper was presented at the International Geological Correlation Program (IGCP) Project 98: “Standards for Computer Applications in Resource Studies” held at Taita Hills, Kenya, November 8–15, 1977.