按不同气候背景制作单站MOS预报方程

在基层业务体制的框架基本形成以后，县局在参考上级指导预报的同时，初步开展对单站数值预报模式的研究，注意中、小尺度天气的变化规律，以提高订正预报的精度。     

矢量地形图拓扑等问题的研究与实践

对矢量地图生产过程中常见的图形拓扑、数据冗余问题进行分析和研究；在此基础上结合生产实践，提出了相应的解决办法。研制了基于AutoCAD2000平台的相关程序。     

The diurnal and seasonal characteristics of urban heat island variation in Beijing city and surrounding areas and impact factors based on remote sensing satellite data

Based on the land surface temperature (LST), the land cover classification map,vegetation coverage, and surface evapotranspiration derived from EOS-MODIS satellite data, and by the use of GIS spatial analytic technique and multivariate statistical analysis method, the urban heat island (UHI) spatial distribution of the diurnal and seasonal variabilities and its driving forces are studied in Beijing city and surrounding areas in 2001. The relationships among UHI distribution and landcover categories, topographic factor, vegetation greenness, and surface evapotranspiration are analyzed. The results indicate that: (i) The significant UHI occur in Beijing city areas in the four seasons due to high heat capacity and multi-reflection of compression building, as well as with special topographic features of its three sides surrounded by mountains,especially in the summer. The UHI spatial distribution is corresponding with the urban geometry structure profile. The LST difference is approximately 4-6℃ between Beijing city and suburb areas, comparatively is 8- 10℃ between Beijing city area and outer suburb area in northwestern regions. (ii) The UHI distribution and intensity in daytime are different from nighttime in Beijing city area, the nighttime UHI is obvious. However, in the daytime, the significant UHI mainly appears in the summer, the autumn takes second place, and the UHI in the winter and the spring seem not obvious. The surface evapotranspiration in suburb areas is larger than that in urban areas in the summer, and high latent heat exchange is evident, which leads to LST difference between city area and suburb area. (iii) The reflection of surface landcover categories is sensitive to the UHI, the correlation between vegetation greenness and UHI shows obviously negative.The scatterplot shows that there is the negative correlation between NDVI and LST (R2 = 0.6481).The results demonstrate that the vegetation greenness is an important factor for reducing the UHI,and large-scale construction of greenbelts can considerably reduce the UHI effect.     

冀东金宝沟花岗斑岩地球化学特征、LA-ICP-MS锆石U-Pb年龄和Hf同位素及其地质意义

金宝沟金矿床是冀东地区近年查明的一个大型斑岩型金矿床,金矿体主要赋存于金宝沟花岗斑岩体及岩体与太古宙迁西群黑云角闪斜长片麻岩接触带中。为查明金宝沟含矿花岗斑岩体的成岩时代、岩石地球化学特征、岩浆源区特征及其与区域上峪耳崖、牛心山等成矿花岗岩体的关系,采用LA-ICP-MS锆石U-Pb定年方法,测得金宝沟2件花岗斑岩的成岩年龄分别为169.9±1.0Ma和170.4±2.0Ma,表明其形成于中侏罗世。金宝沟花岗斑岩属于过铝质钾玄岩系列岩石,∑REE含量为38.17×10~(-6)~136.51×10~(-6),岩石富集Rb、K等大离子亲石元素和Ba、Th、U,亏损Ta、Nb、Ti等高场强元素和P、Sr,显示出典型岛弧或活动大陆边缘岩浆岩的特征。锆石Hf同位素研究显示,2件花岗斑岩样品的锆石ε_(Hf)(t)分别为-12.8~-7.4和-14.4~-8.8,两阶段模式年龄分别为1685~2028Ma和1773~2130Ma,暗示岩浆可能来源于古元古代地壳物质的部分熔融。金宝沟花岗斑岩岩浆形成的温度为788~834℃,岩浆形成压力为0.8~1.6GPa。结合区域地质资料认为,包括金宝沟花岗斑岩在内的冀东中侏罗世花岗岩及同时代的髫髻山组火山岩是在陆内收缩、地壳增厚、古太平洋板块向欧亚大陆俯冲的构造背景下,在挤压应力松弛的间隙环境侵位的。     

天山-兴蒙造山带主要钼矿床Re-Os定年和地质意义

天山-兴蒙钼矿带是中亚成矿域的重要组成部分,该成矿带主要呈近东西向分布;本文通过对天山-兴蒙钼矿带4个典型矿床Re-Os同位素精确定年,结合前人区域动力学背景的研究,揭示天山-兴蒙造山带钼矿床的成矿作用主要与岩浆侵入形成的花岗岩热液作用有关,并识别出兴蒙造山带3期岩浆活动、钼成矿作用和构造热事件;Re-Os定年结果揭示出晚古生代铜-钼矿床与俯冲-增生作用有关,三叠纪钼的成矿形成于西伯利亚板块与塔里木-华北克拉通碰撞背景下,而侏罗纪-早白垩世的钼成矿作用与古太平洋板块西向俯冲作用有关。     

新疆兴地Ⅱ号铜镍矿床辉长岩SIMS锆石U-Pb年龄和地质意义

兴地Ⅱ号铜镍矿床为岩浆多期次分异、侵位形成的基性-超基性杂岩体;本文通过对兴地辉长岩进行SIMS锆石U-Pb精确测年,获得²⁰⁶Pb/²³⁸U加权平均年龄为737±2 Ma,该数据表明兴地Ⅱ号杂岩体形成于南华纪,并非形成于中元古代。塔里木北缘广泛发育的碳酸岩、基性-超基性岩和双峰式火山岩,为Rodinia 超大陆长期的和持续的裂解产物。     

A comparative analysis of the NDVIg and NDVI3g in monitoring vegetation phenology changes in the Northern Hemisphere

Phenology is a sensitive and critical feature of vegetation and is a good indicator for climate change studies. The global inventory modelling and mapping studies (GIMMS) normalized difference vegetation index (NDVI) has been the most widely used data source for monitoring of the vegetation dynamics over large geographical areas in the past two decades. With the release of the third version of the NDVI (GIMMS NDVI3g) recently, it is important to compare the NDVI3g data with those of the previous version (NDVIg) to link existing studies with future applications of the NDVI3g in monitoring vegetation phenology. In this study, the three most popular satellite start of vegetation growing season (SOS) extraction methods were used, and the differences between SOSg and SOS3g arising from the methods were explored. The amplitude and the peak values of the NDVI3g are higher than those of the NDVIg curve, which indicated that the SOS derived from the NDVIg (SOSg) was significantly later than that derived from the NDVI3g (SOS3g) based on all the methods, for the whole northern hemisphere. In addition, SOSg and SOS3g both showed an advancing trend during 1982–2006, but that trend was more significant with SOSg than with SOS3g in the results from all three methods. In summary, the difference between SOSg and SOS3g (in the multi-year mean SOS, SOS change slope and the turning point in the time series) varied among the methods and was partly related to latitude. For the multi-year mean SOS, the difference increased with latitude intervals in the low latitudes (0–30°N) and decreased in the mid- and high-latitude intervals. The GIMMS NDVI3g data-sets seemed more sensitive than the GIMMS NDVIg in detecting information about the ground, and the SOS3g data were better correlated both with the in situ observations and the SOS derived from the Moderate Resolution Imaging Spectroradiometer NDVI. For the northern hemisphere, previous satellite measures (SOS derived from GIMMS NDVIg) may have overestimated the advancing trend of the SOS by an average of 0.032 d yr^–1.