星载SAR浅海水下地形和水深测量模拟仿真──水下地形高度、坡度和方向与可测水深分析

根据星载合成孔径雷达(SAR)浅海水下地形和水深成像机理,建立了浅海水下地形和水深雷达后向散射截面仿真模型.利用该模型模拟并分析了不同地形条件下,浅海水下地形的雷达后向散射截面.分析结果表明,水下地形高度越高,SAR可测量的水深越深;水下地形坡度越大,越易被SAR所观测.水下地形的星载SAR测量还与水下地形的方向有关,与卫星飞行方向平行的水下地形最易被SAR观测,与卫星飞行方向垂直的水下地形最不易被SAR观测.     

自行式海底作业车的研究

理论分析和试验研究是本文写作基础，它详细地总结了大洋多金属结核资源开发而研究自行式海底作业车取得中期成果，它对我国大洋采矿和其它海底工程车辆的发展有着重要的文献价值和指导意义。     

厦门海域水体中有机锡的存在形态与含量分布

利用固相萃取-气相色谱-火焰光度检测(SPE-GC-FPD)对厦门海域表、底层海水中的有机锡化合物进行了分析检测。其中表层海水中检出的有机锡化合物以二丁基锡(DBT)为主,底层海水中以三丁基锡(TBT)为主,且TBT的浓度显著高于表层水。表层海水中总有机锡浓度在129.1—4 826.8 ng(Sn).L-1之间,底层海水则分布在321.6—1 954.5ng(Sn).L-1之间。结果显示,厦门港内及同安湾附近海域水体中的有机锡浓度远高于九龙江口及厦门西南海域,这与厦门海域船舶活动和网箱养殖密切相关。通过对鼓浪屿站点表层海水中有机锡化合物15 h的连续监测,推测光照对水体中有机锡的降解影响显著。     

A technique for conducting seismic refraction experiments on the ocean bed using bottom shots

A technique has been devised for firing arrays of bottom shots on the ocean bed in depths upto 4000 m or more. Ten kilogram explosive charges are dropped from the surface while the shooting ship is navigated acoustically. They are detonated at preset times by an electronic timer which initiates an electrical detonator, detonating cord and cast PETN/TNT explosive. Ranges to ocean bottom seismographs, and the shot instants, can be calculated from the arrival-time differences of the direct and surface-reflected water waves. The accuracy, which is dependent on water-depth and range, was better than 22 m in range and 14 msec in shot instant for our experiments.     

9810号台风期间厦门近岸海域磷的分布特征

于1998年10号台风期间及台风解除后一周内，对九龙江口和西海域表层水中总磷（TP）、溶解态无机磷（DIP）、溶解态有机磷（DOP）、颗粒态磷（PP）、颗粒态无机磷（PIP）和颗粒态有机磷（POP）进行了为期9d（10月26日至11月3日）的现场观测。根据观测结果，讨论了台风对上述各形态磷的分布特征的影响，认为台风伴随的增水、入海径流量的骤增和底质再悬浮的加剧导致表层水体中各形态磷含量的短期增加。     

粗糙集理论进行遥感图像监督分类的样本质量评价的研究(英文)

In the supervised classification process of remotely sensed imagery, the quantity of samples is one of the important factors affecting the accuracy of the image classification as well as the keys used to evaluate the image classification. In general, the samples are acquired on the basis of prior knowledge, experience and higher resolution images. With the same size of samples and the same sampling model, several sets of training sample data can be obtained. In such sets, which set reflects perfect spectral characteristics and ensure the accuracy of the classification can be known only after the accuracy of the classification has been assessed. So, before classification, it would be a meaningful research to measure and assess the quality of samples for guiding and optimizing the consequent classification process. Then, based on the rough set, a new measuring index for the sample quality is proposed. The experiment data is the Landsat TM imagery of the Chinese Yellow River Delta on August 8th, 1999. The experiment compares the Bhattacharrya distance matrices and purity index zl and △x based on rough set theory of 5 sample data and also analyzes its effect on sample quality.     

神木北部矿区5-2煤层厚度及其底板高程趋势分析

为了查清神木北部矿区5-2煤层赋存特征及成因,选取了该矿区172个典型钻孔数据,用趋势分析法研究了5-2煤层的厚度及其底板高程度变化特征。结果显示:该区煤层厚度总体为南北厚中部薄,东厚西薄;底板高程为南北高中部低,东高西低;煤层厚度和其底板高程间普遍存在正相关关系。在该区构造稳定的背景下,后期改造对煤层厚度及其底板的影响很小,煤层赋存特征主要受沉积与剥蚀的控制。     

松辽盆地白垩纪湖泊水体温度与古气候温度估算

湖泊沉积物沉积的第一场所是湖底,湖底温度的高低影响沉积有机质的保存,也影响湖底下部地层的温度。了解古水体温度尤其是古水底温度情况成为评估松辽盆地白垩系生物气勘探前景的必要研究内容之一。根据已有的古气候研究成果与现今气候对比,得出白垩纪松辽盆地年平均气温约为14~24℃。再根据水库温度的计算方法和利用已有的古纬度及古水深的研究成果计算得出,白垩纪松辽盆地古湖盆水体表面温度为17~25℃;水深大于20 m的深湖区,水底温度为6.2~12.5℃;湖底最深处温度为4.0~11.3℃;青山口组和嫩江组沉积时期,湖水分层明显,湖底温度季节性变化很小且温度较低,约为8℃。湖底的低温对松辽盆地白垩纪生物气勘探是有利的。     

船式支护在基坑中的应用

在深厚软土地区的基坑,对基坑底软土进行搅拌加固形成强度较高的底板而保证坑底稳定,侧壁采用支护桩支护保证侧壁的稳定使其不倾倒,支护桩与加固底板两者共同作用形成的船状结构支护体系类似轮船的船侧壁及船底板,以保证基坑的稳定。结合具体的工程实例,介绍了船式支护的侧壁及底板的设计方法。工程案例成功实施,监测结果表明,船式支护既可避免支护桩嵌固深度过长,又利于软土的土方施工及工程桩的保护,是安全可靠的,对类似工程有一定的参考意义。     

ARTIFICIAL NEURAL NETWORK CORRECTION OF ROUGH ERRORS OF OBSERVATIONS

In the context of tower measured radiation datasets.following the correction principle meetinga diagnostic equation in data quality control and in terms of a technique for model construction ondata and ANN(artificial neural network)retrieval for BP correction of radiation measurementswith rough errors available,a BP model is presented.Evidence suggests that the developed modelworks well and is superior to a convenient multivariate linear regression model,indicating its wideapplications.