南沙海域第三纪生物礁层序构成和演化

南沙海域第三纪盆地生物礁油气藏勘探具有巨大的潜力。作者运用层序地层学原理精细解剖不同体系域的生物礁内部构成,建立了高精度的生物礁礁层序地层格架,并逐层进行回剥分析,表明第三系充填沉积为四幕伸展裂陷过程,进而揭示盆地生物礁层序的动态发育过程及不同时期南沙海域含油气盆地的发育状态。     

Numerical simulation of groundwater and early warnings from the simulated dynamic evolution trend in the plain area of Shenyang,Liaoning Province (P.R. China)

Groundwater level is the most direct factor reflecting whether groundwater is in a virtuous cycle. It is the most important benchmark for deciding whether a balance can be struck between groundwater discharge and recharge and whether groundwater exploitation will trigger problems pertinent to environment, ecology and environmental geology. According to the borehole and long-term monitoring wells data in the plain area of Shenyang, a numerical groundwater model is established and used to identify and verify the hydrogeological parameters and balanced items of groundwater. Then the concept of red line levels, the control levels of groundwater is proposed, the dynamic evolution trend of groundwater under different scenarios is analyzed and predicted and groundwater alerts are given when groundwater tables are not between the lower limit and the upper limit. Results indicated: (1) The results of identification and verification period fitted well, and the calculation accuracy of balanced items was high; (2) with the implementation of shutting wells, groundwater levels in urban areas of Shenyang would exceed the upper limit water level after 2020 and incur some secondary disasters; (3) under the recommended scenario of water resources allocation, early-warnings for groundwater tables outside the range would occur in the year of 2020, 2023, 2025 respectively for successive wet, normal and dry years. It was imperative to reopen some groundwater sources and enhance real-time supervision and early-warning to prevent the occurrence of potential problems.     

基于水位波动关联度的济南西部与济南泉群地下水关系研究

济南市以"泉城"闻名,近年来城市化进程的加快及地下水开采量的增大,对济南市区泉群喷涌产生了一定程度的影响。对2014～2017年济南西部玉符河下游的杜家庙、南八里、朱家庄等地及市区泉群的趵突泉、黑虎泉的岩溶水位波动规律进行分析,在地下水位波动幅度计算的基础上,利用灰色关联分析方法,从一个新的评价指标"水位波动关联度"的角度探寻济西与济南市区泉群地下水间的联系,为济南市保泉供水提供探索依据。以15d为地下水位均值计算周期,先计算全年的水位波动关联度,再将关联度的计算结果划分为:4～7月、8～11月和12月至次年3月三个时段,分别分析济西各岩溶井水位与泉水位的波动关联度。结果表明,12月至次年3月关联度的计算结果受外界干扰最小,这一时段济西与市区泉群水位波动关联度的均值为0.854,属高关联度,两者地下水位变化规律极其相似,两个地下水系统在统计学上存在着极强的联系。     

Discussion on the Relation Between the Probabilistic Distribution of Magnitude in a Seismic Province and That in an Area with Potential Seismic Source

According to the joint probabilistic distribution model of magnitude and space,the author discusses the relationship between the probabilistic distribution of magnitude in a seismic province and that in an area with potential seismic sources.The results show that if the magnitude probabilistic distribution follows the truncated exponential form in a seismic province,there must be some potential source in which the magnitude probabilistic distribution does not conform to that form.The result is consistent with the concept of "characteristic earthquake" derived from the study of actual records of seismicity and the study of geology.The author suggests that the relationship between the probabilistic distribution of magnitude in a seismic province and that in a seismic potential area must be considered in the study of the analysis of seismicity,seismic zonation and engineering seismology,for the purpose of the evaluation of the probabilistic distribution of magnitude correctly in every area with potential s     

内蒙古西部额济纳旗及邻区中二叠统腕足类动物群的特征和时代

额济纳旗及其邻区中二叠统产丰富的腕足动物群,该动物群具有北方冷水动物和特提斯暖水动物混生的特点,划分为Spiriferella-Kochiproductus-Yakovlevia 组合,称为“哲斯动物群”。在生物古地理分区上,该区为北方生物大区和特提斯生物大区之间的过渡带,称为中蒙生物省。动物群的组成、丰度和分异度等特征在银-额（银根-额济纳旗）盆地的东西部有明显的差异：盆地西部北山地区海水较浅,腕足动物群丰度高,分异度略低,以个体较大、壳体较厚的冷水分子占优势,共生少量的双壳类和珊瑚;东部杭乌拉地区海水略深,腕足动物群丰度稍低,分异度较高,含有大量的小个体腕足,共生冷水型珊瑚和丰富的海百合类,世界广布分子和暖水分子超过一半。说明该腕足动物群在受纬度和温度控制的同时,也受水体深度的影响,在同一海盆的不同环境中表现出不同的特点。通过对该动物群的起源、区域分布特点和共生生物的分析,认为额济纳旗及其邻区的哲斯动物群的时限为罗甸期—孤峰期。     

地震自相似现象初探

依据破裂过程和震源物理参数相似性,给出了自相似震源椭球体三轴之比约为a:b:c=1:0.2:0.2。基于分维理论和方法,讨论了自相似的地震时空分布的分维和强震前的降维现象。由前兆展布范围,大震前区域地震活动特征以及地震空区等可导出近源前兆(红肿)区线性尺度约为震源区的5倍。     

海图自动综合中二维平面图形知识的获取

为了保持综合过程的真实性,应当把更多的注意力放在数据的特性上,通过对海图中常见的点、线、面的二维平面图形知识进行分析,可以在电子海图的自动综合过程中,把要素自身的图形特征和地理特征在图形简化时同时考虑,并保持综合过程的真实性.     

大湖塘矿集区燕山成矿阶段矿床成矿系列研究及找矿问题探讨

大湖塘矿集区位于赣西北九岭成矿带西北部位,区内燕山期岩浆岩侵入活动及成矿作用强烈。大湖塘燕山期岩浆岩形成时间分布在130.3 Ma~151.4 Ma之间,可划分为三次侵入:130.3 Ma~134.3 Ma、140.4 Ma~144.4 Ma、146.4 Ma~151.4 Ma;在144.4 Ma~146.4 Ma之间,岩浆活动处于休宁阶段。区内燕山期岩浆岩与矿床在形成时间上十分接近,空间关系上相互依存,并显示特定的分布格局。根据区内矿床的分布特点、产出位置、成矿时间、燕山期花岗岩与矿床的相关性等特征,可将大湖塘矿集区由北向南依次划分为W、Mo—W、Mo、Cu、Pb、Zn—Cu、Pb、Zn、Au、Ag三个成矿系列,并提出了"北钨南铜"的找矿观点。区内双桥山群与成矿,燕山期岩浆岩的起源,矿床等间距分布,以及重力勘探方面的研究应加强。     

世界森林的数字地球监测

介绍中国风云气象卫星FY－1,FY－2对地观测数据应用于全球森林资源的分类监测。讨论中国加入WTO以后对全球森林资源再分配的新战略。以全球观点,分析贵州省的森林资源特色及其对世界的特殊贡献。评价21世纪中国森林数据库与林业管理信息系统的规划与建设。     

Efficient collection of training data for sub-pixel land cover classification using neural networks

Artificial neural networks (ANNs) are a popular class of techniques for performing soft classifications of satellite images. They have successfully been applied for estimating crop areas through sub-pixel classification of medium to low resolution images. Before a network can be used for classification and estimation, however, it has to be trained. The collection of the reference area fractions needed to train an ANN is often both time-consuming and expensive. This study focuses on strategies for decreasing the efforts needed to collect the necessary reference data, without compromising the accuracy of the resulting area estimates. Two aspects were studied: the spatial sampling scheme (i) and the possibility for reusing trained networks in multiple consecutive seasons (ii). Belgium was chosen as the study area because of the vast amount of reference data available. Time series of monthly NDVI composites for both SPOT-VGT and MODIS were used as the network inputs. The results showed that accurate regional crop area estimation (R² > 80%) is possible using only 1% of the entire area for network training, provided that the training samples used are representative for the land use variability present in the study area. Limiting the training samples to a specific subset of the population, either geographically or thematically, significantly decreased the accuracy of the estimates. The results also indicate that the use of ANNs trained with data from one season to estimate area fractions in another season is not to be recommended. The interannual variability observed in the endmembers’ spectral signatures underlines the importance of using up-to-date training samples. It can thus be concluded that the representativeness of the training samples, both regarding the spatial and the temporal aspects, is an important issue in crop area estimation using ANNs that should not easily be ignored.