A semiobjective method for condensing classifications

A simple, semiobjective method is described to reduce the number of groups in a classification to an arbitrary level without losing contact with the geologic information contained in the evolving groups. The method, operated in a stepwise or cyclic manner, employs some of the commonly used numerical techniques, but avoids strict adherence to them to obtain geologically more meaningful results. The method is illustrated in a facies study of the upper Paleozoic rocks of southeastern Utah.     

SAR image classification based on its texture features

SAR images not only have the characteristics of all-ay, all-eather, but also provide object infor-mation which is different from visible and infrared sensors. However, SAR images have some faults, such as more speckles and fewer bands. The au-thors conducted the experiments of texture statistics analysis on SAR im-age features in order to improve the accuracy of SAR image interpretation.It is found that the texture analysis is an effective method for improving the accuracy of the SAR image interpreta-tion.     

Köppen Climate Types in Observed and Simulated Climates

The Köppen climate classification was applied to the observed gridded climatological sets and the outputs of four general circulation models (GCMs) over the continents of the Earth. All data had been acquired via the Data Distribution Centre established by the Intergovernmental Panel on Climate Change. The ability of the GCMs to simulate the Köppen climate zones identified in the real data was explored and possible future (global warming) changes in the climate types' distribution for each GCM were assessed. Differences in the area distributions derived from the GCMs' recent climate simulations give evidence about uncertainties generally involved in climate models. As to the global warming simulations, all GCM projections of warming climate (horizon 2050) show that the zones representing tropical rain climates and dry climates become larger, and the zones identified with boreal forest and snow climates together with the polar climates are smaller.     

关于我国土地利用分类问题的讨论

在分析了我国于2002年1月起试行的最新土地利用分类系统所存在的问题之后,提出了生态用地的概念,并提出了将我国土地利用划分为农用地、建设用地和生态用地这三大类用地的设想,同时尝试提出了另一个土地利用分类方案。     

Using unmanned underwater vehicles as research platforms in coastal ocean studies

The advantages of using unmanned underwater vehicles in coastal ocean studies are emphasized. Two types of representative vehicles, remotely operated vehicle (ROV) and autonomous underwater vehicle (AUV) from University of South Florida, are discussed. Two individual modular sensor packages designed and tested for these platforms and field measurement results are also presented. The bottom classification and albedo package, BCAP, provides fast and accurate estimates of bottom albedos, along with other parameters such as in-water remote sensing reflectance. The real-time ocean bottom optical topographer, ROBOT, reveals high-resolution 3-dimentional bottom topography for target identification. Field data and results from recent Coastal Benthic Optical Properties field campaign, 1999 and 2000, are presented. Advantages and limitations of these vehicles and applications of modular sensor packages are compared and discussed.     

A study on the allocation of productive factors of Chinese agriculture

Background of Study on Allocation of Agricultural Productive Factors in ChinaAgricultal productiVe factors include land, labor, fendirer, approved variety, fann machinery, waterconservanCy facilihes, etc. The allocation of aghcultural productiVe factors is defined as the combinationof agricultural productiVe factors corresponding to regional natural condihons and economic situationIt is a requirement of Chinese agricultural prachce to StUdy the allocation of agricultUlal produchvefactors…     

The GW-Fauna-Index: A first approach to a quantitative ecological assessment of groundwater habitats

Between June 2001 and December 2002, 18 hyporheic and groundwater bores were sampled for fauna and environmental data using phreatic traps. The bores were situated in three different natural geographic regions in Palatinate, Southwestern Germany.Faunal data correlated with the relative amount of detritus, bacterial abundances and the standard deviation of temperature, while very few and weak correlations were found with physical–chemical variables. Dissolved oxygen was assumed to be a limiting factor for most metazoans with a critical concentration at around 0.5–1 mg l⁻¹.To quantify the strength of the hydrological exchange with surface water and its effects on fauna, a so-called GW-Fauna-Index was developed and calculated using the relative amount of detritus, standard deviation of temperature, and oxygen concentration. From all environmental data and on all spatial scales, this index best explained the total faunal abundance and taxonomic richness.To describe the availability of organic aliments in the groundwater, the terms of “alimonic” and “alimony” [from lat. alimonium=(food) supply] were proposed.Although stygofauna was different in the geographic regions investigated, the GW-Fauna-Index was independent from these regional particularities. Using the GW-Fauna-Index, three groups of groundwater habitats could be classified according to the alimonic conditions. From oligo-alimonic group I samples, fauna was mostly absent, while meso-alimonic group II samples were prevailingly populated by stygobites, and eu-alimonic group III samples by ubiquists and stygoxenes. Total abundances and taxonomic richness increased significantly from group I to group III. Group I samples were characterized by low index values, group II samples by intermediate and group III samples by high values.The GW-Fauna-Index provides promising perspectives for application, but needs some improvement. First of all, detritus should be analysed quantitatively and qualitatively, rather than semi-quantitatively. Also, a standard protocol for sampling has to be developed.     

塔河油田下奥陶统碳酸盐岩储层测井分类识别研究

塔河油田下奥陶统碳酸盐岩为一套缝洞发育的复杂储层,通过大量已知井的测井曲线与岩心分析数据对照观察、分析,归纳出了五种储层的电性分类识别标准。在此基础上,又利用自然伽玛(GR)、深浅侧向电阻率(Rd,Rs)、声波时差(AC)、密度(DEN)、中子孔隙度(CNL)的响应特征,建立了神经网络识别模型。通过在该区三十多口井的实际应用,取得了较好的效果。     

基于TM影像的南京市土地利用遥感动态监测

基于南京市1988年和1998年两期TM影像，首先用辐射水准归一化法将1998年影像校正到1988年影像的辐射水平上，再经过几何校正、训练区纯化等预处理，对两期影像分别用最大似然法进行分类，然后在Arc／Info的GRID模块中编写AML语言，对得到的两期土地利用分类图进行叠置运算，提取出土地利用动态变化信息。分析结果表明，10a间南京市耕地面积大量减少，林地面积有所增加。