科技引领导航产业持续发展

卫星导航应用产业在国民经济建设中占有重要的地位,是国民经济信息化建设的重要组成部分和推进力量。全球导航卫星系统（GNSS）能够迅速、     

浅谈露天采石场DTM法土石方测算

分析几种土石方测量计算方法的特点和适用性,针对露天采石场特殊的场地条件,认为DTM法进行土石方测算是较为准确、便捷的方法,着重介绍DTM法的方量计算原理、操作步骤和注意事项。     

Distribution and characteristics of volcanic reservoirs in China

About forty productive oil/gas fields hosted in volcanic reservoirs have been found since 1957 in fourteen basins of China. They can be simply subdivided into two groups, the east and the west. Reservoir volcanic rocks of the east group are predominantly composed of Late Jurassic to Early Cretaceous rhyolite and Tertiary basalt, preferred being considered as rift type volcanics developed in the circum-Pacific tectonic regime. Those of the west are Permo-Carboniferous intermediate/basic volcanic rocks, being island-arc type ones developed in paleo-Asian Ocean tectonic regime.     

Extending self-organizing maps for supervised classification of remotely sensed data

An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors ： an input vector and a class codebook vector. When a training sample is input into the model, Kohonen＇s competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.     

Characteristics and evolution of lacustrine turbidite of Chang-7 Member of Yanchang Formation in northern Shaanxi

Lacustrine turbidite of Chang-7 Member in the studied area consists of sihstone and fine sandstone with respect to grain size, which is feldspathic lithie sandstone, syrosem arkose and arkose with respect to mineral constitution affected by provenance. There are such apparent signatures as lithology, sedimentary structure, sedimentary sequence and well logs, to recognize turbidite. During the paleogeographic evolution of Chang-7 Member, lake basin and deep lake are both at their maximum extent during Chang-73 stage, resulting in the deposition of Zhangjiatan shale with widespread extent and of turbidite with fragmental-like. Deep lake line is gradually moving toward lake center and turbidite sand bodies are gradually turning better with better lateral continuity, connectivity and more thickness, from stages of Chang-73, Chang-72 and Chang-7t, which can be favorable reservoir in deep-water.     

2000年夏季莱州湾主要观测要素的分布特征

在 2 0 0 0年夏季莱州湾加密大面调查资料的基础上 ,研究了莱州湾海域海水的温度、盐度、溶解氧、浊度、叶绿素、无机氮、磷酸盐和硅酸盐的分布特征 ,初步讨论了它们之间的相互关系。结果表明 ,莱州湾盐度值与以前相比有显著升高 ;叶绿素南部的高值区对应于溶解氧的低值区 ,温度的高值区 ;浊度受黄河径流的影响较大 ;无机氮西部浓度高 ,东部浓度低 ,且相差很大 ;浮游植物生长的限制因素东部与西部海域不同 ,东部为氮限制 ,而西部为磷限制。     

基于机器学习的格点气温预报订正方法

使用2017年9月至2021年3月国家级业务化运行的智能网格实况分析产品和欧洲中期天气预报中心全球模式(EC)产品,根据湖北省的地理分布特征构建6个分区,采用基于LightGBM机器学习算法建立的气温预报方法,生成湖北省0.05°×0.05°格点气温预报产品。利用2021年4—9月的预报产品和格点实况资料进行检验,结果表明:基于机器学习的气温预报方法(MLT)取得了较好的预报效果,其在0～72 h时效内优于中央气象台下发的气温精细化指导预报(SCMOC)和EC产品;MLT在山区的误差较平原大,但山区的订正幅度大于平原,日最高气温的订正幅度大于日最低气温的订正幅度;4—9月MLT、SCMOC、EC产品的平均绝对误差(MAE)日变化都呈现了白天偏高、夜间偏低、午后凸起的单峰特征,MLT的MAE值较SCMOC和EC产品的更低,并且在转折性天气中仍具有优势;站点检验与格点检验结论一致,基于格点建模的气温预报产品对站点预报同样得到了订正。机器学习在格点气温的模式订正方面可以作为一个行之有效的手段。     

激发极化法在贵州普定县那雍枝地区铅锌矿勘查中的应用

在贵州普定县那雍枝铅锌矿区通过激电工作,发现了一批激电异常,并推断出极化体的空间分布,经钻探工程揭露,发现了隐伏铅锌矿体,取得了较好的找矿效果。     

中国南水北调工程进展综述

论述南水北调工程的调水背景、工程规划、工程特征、环境影响与生态环境保护及其工程综合效益。     

用于刑侦搜查的土壤特征元素筛选

据t检验法结合主成分分析法,对比筛选出适合新疆于田-若羌绿洲带用于刑侦搜查的土壤特征元素。结果表明：研究区16种土壤特征元素CaO,MgO,Na2O,Ba,Zr,Sr,I,Cr,Hg,B,As,Cu,Zn,Br,Sc和Li的含量信息可用于区分于田-若羌绿洲带4个地区不同土壤特征。基于此,将统计的土壤类型信息、地形地貌信息、地理坐标信息及特征元素信息等,作为于田-若羌绿洲带土壤元素特征数据库建立的参考依据,进而提高刑侦搜查效率。