第二代航磁黄沙坪异常的分解及其矿产新空间

本文采用同时具有识別、分解、解释异常三重作用的三元解释法■,在黄沙坪异常负值区有效地提取了由未知的深源磁性体引起的剩余异常。该异常与已知的中、浅源磁性体分处于极为类同的成矿地质背景中。后者与隐伏岩体、铅锌多金属盲矿体之间有着密切的成生联系。这为前者间接找矿提供了有力的依据。定量解释结果中,两者间的磁矩等效关系,论证了已知矿床西侧深部空间里,仍存在找到又一个大型矿床的前景。     

Assessment of the sensitivity of the landscape in a sample area in Hungary for climatic variability

In the northeastern part of Hungary near the township of Tokaj a landscape research project has been performed in a 9 km² area. The aim of this study is to examine the possibilities of expressing the climatic sensitivity of the given small landscape unit by analysing the capabilities of such a small sample area and synthésizing the data obtained. The landscape analysis consisted of field and laboratory measurements, theoretical calculations, analyses of maps, as well as the construction of thematic maps (on the scale of 1:10000) and cartograms. In view of climatic sensitivity four of the landscape factors were regarded as crucial: (1) the water budget of the soils, (2) the thickness of the soils and loose sediments, (3) insolation, and (4) land use. By synthesis of these factors a five-grade climatic sensitivity map was produced. On the basis of the areal proportion of the different classes of sensitivity it was established that the study area is moderately sensitive to climate. Examination of the moisture content of soil clearly indicated different responses of the areas from the different sensitivity classes to changes in temperature and precipitation. The four main landscape factors selected proved to be useful in the rough delineation of the classes on the climatic sensitivity map. However, the use of the other landscape factors improved its accuracy.     

地震前虎皮鹦鹉(Melopsittacus undelafus L.)叫声的模式识别

近年来,我国多数地震动物观察站(SAOS)监测虎皮鹦鹉(BG=budegerigar)的叫声频度与地震的关系,并取得了一些观测结果。但是,所用的声记录仪未能考虑BG叫声的声学特性,而不能分辨BG不同的叫声和进一步提取震兆性叫声模式(EPCP),并易受到环境噪声的干扰而产生误计数。 据此,分析了BG不同声行为叫声的声学特性。BG叫声大致上可分为单次叫声(SC)、变音调叫声(VTC)、单音节和多音节抗议叫声(MoSPC和MuSPC)。由此,进一步研制了它们的模式识别系统。该系统是以单片机为核心的微处理机,对BG叫声进行预处理、编码、分析、显示和打印输出。 观察结果表明,在高声场旅游飞机噪声(TAN)干扰下,该系统的BG叫声识别率(CRR)为66.7％,而对TAN没有误计数。在含10次不同声强的TAN干扰(432秒)的30分钟内,该系统记录了588次叫声(SC、VTC、MoSPC和SPC分别为377、22、20和169次),仅丢失65次叫声,其CRR平均为90％。但是,SAOS目前使用的声记录仪,这10次TAN干扰所产生的误计数可能约为BGU叫声的2.6—13倍。 由此可见,这种模式识别系统不仅可满足于BG不同叫声的识别,且具有良好的抗噪声功能。这就使之可为地震前BG声行为观测提供更有用的信息。不仅可给出BG叫声频度的昼夜节律变化与地震的关系,并可为揭示BG的EPCP提供一定的依据。     

我国大陆及其邻区6级以上地震的“缺震事件”——一种大地震中期预测指标的分析研究

在内陆强震活动的起伏中,6级以上地震的大范围长时间缺震,具有重要的意义。有的研究者已将其作为将发生7级地震前的标志之一。作者系统地清理了1897—1988年8月间中国大陆及其邻区6级以上地震“缺震事件”的始末,较多的震例表明,限定“缺震事件”起止的地震具有中期预报意义。它们在地震构造上的原因可能是代表区域最活跃的破裂,突然处于阻碍、闭锁状态,其持续时间大于10个月,再次发生6级以上地震为解锁,并随即出现新的一轮大地震活动。故可以作为一种大地震中期预测的指标。     

(Re) deposition of loess in southern Limbourg,the Netherlands 3. Field evidence for conditions of deposition of the middle and upper silt loam complexes,and landscape evolution at Nagelbeek

This paper is about conditions and processes during the accumulation of the Upper Pleniglacial Middle and Upper Silt Loam complexes at Nagelbeek, Limbourg, a Weichselian stratigraphical type locality. The complexes correlate with Hesbayan and Brabantian loesses in Belgium, formed between 28,000 and 12,400 yrs BP. They are characterized by sediment features (cracks, mass deformations, and cut-and-fill features) that are ascribed to a cryogenic regimen. The main Middle Silt Loam subunit contains contraction cracks deformed and further modified by masswasting. Intra-Upper-Pleniglacial pedogenic intervals are inferred from three greyish bands, from a truncated weathered zone surmounting the Middle Silt Loam, and from an aeolian-cumulic palaeosol at the base of the Upper Silt Loam. Latter two zones and an intervening erosional unconformity were cryogenically reworked, less than 22,000 yrs BP, to form a complex stratigraphical marker-zone: the ‘Horizon à Langues de Nagelbeek’. Morphological variants of the marker-zone are described. The geomorphic evolution of the Nagelbeek upland, from Saalian to Holocene times, is summarized in unconformity maps and a time diagram.     

Embedding reach-scale fluvial dynamics within the CAESAR cellular automaton landscape evolution model

We introduce a new computational model designed to simulate and investigate reach-scale alluvial dynamics within a landscape evolution model. The model is based on the cellular automaton concept, whereby the continued iteration of a series of local process ‘rules’ governs the behaviour of the entire system. The model is a modified version of the CAESAR landscape evolution model, which applies a suite of physically based rules to simulate the entrainment, transport and deposition of sediments. The CAESAR model has been altered to improve the representation of hydraulic and geomorphic processes in an alluvial environment. In-channel and overbank flow, sediment entrainment and deposition, suspended load and bed load transport, lateral erosion and bank failure have all been represented as local cellular automaton rules. Although these rules are relatively simple and straightforward, their combined and repeatedly iterated effect is such that complex, non-linear geomorphological response can be simulated within the model. Examples of such larger-scale, emergent responses include channel incision and aggradation, terrace formation, channel migration and river meandering, formation of meander cutoffs, and transitions between braided and single-thread channel patterns. In the current study, the model is illustrated on a reach of the River Teifi, near Lampeter, Wales, UK.     

Supervised neural network recognition of habitat zones of rice invertebrates

This study aimed to evaluate effectiveness and performance of several supervised neural network models and make pattern recognition on invertebrate habitat zones. Probabilistic, general regression, and linear neural networks, and discriminant analysis were used to recognize both known and unknown invertebrate habitat zones. The results showed that neural network models were better than traditional discriminant analysis in the recognition of known habitat zones. There was not distinctive variation in recognition from different neural network models. Sensitivity analysis indicated that the learning rate of the neural network would influence recognized results. An unknown invertebrate species from Lepidoptera was recognized to be soil-dweller (dryland) by both neural network models and discriminant analysis. In sensitivity analysis it was additionally recognized to be the type of plant canopy (terrestrial). Overall the species was estimated to be a soil-dweller (dryland) or live on plant canopy (terrestrial). It was concluded that neural network models can perform better than conventional statistic models in pattern recognition, but a comprehensive comparison among various models is necessary in order to achieve a high reliable recognition and prediction. Furthermore, sensitivity analysis can lead to an in-depth grasp on the mechanism in the recognition and is thus needed.     

模式识别及其在地图制图中的发展现状分析

模式识别在地图制图中的应用，是实现地图制图自动化的重要研究内容。通过对模式识别，地图制衅，以及地图模式识别的发展回顾和现状分析，阐述了开展地图模式识别研究的重要意义，并指出了其研究重点。     

RS和GIS支持下的盐池县生态景观格局动态变化研究

基于遥感（RS）和地理信息系统（GIS）技术，以Landsat TM/ETM图像为基本数据源，综合运用景观生态学理论和方法，对我国典型农牧交错生态脆弱区宁夏盐池县1991~2000年生态景观格局动态变化进行了研究。结果表明： 盐池县各景观类型都发生了很大程度的消长变化，景观格局处于快速调整和不稳定发展阶段，但生态景观基质还是草地，景观格局始终呈农牧交错结构。     

Landscape governance: The “politics of scale” and the “natural” conditions of places

Governance has become an iridescent concept in recent years. The term is widely used in almost all social-science disciplines as well as in the political process. The intention of this paper is not so much to clarify these sometimes vague meanings but to highlight some characteristics of environmental governance connected with the restructuring of the spatial dimensions of politics. It starts from the assumption that the quest for multi-level decision making is particularly pressing for environmental governance. However, multi-level governance raises concern about the constitution of various spatial levels and their relationships with each other, as discussed under the term of “politics of scale”. Moreover, it is argued that for environmental governance the spatial reference is strongly connected with another challenge, which concerns the question of how to deal with the biophysical conditions of particular places. The term landscape governance is introduced to tackle this question without referring to an ontologically given space. Thus, landscape governance deals with the interconnections between socially constructed spaces (the politics of scale) and “natural” conditions of places. For this task, the concept of societal relationships with nature is introduced and applied to the term “landscape” as a bridging concept between social and natural sciences. The paper illustrates the approach of landscape governance with examples of problem-oriented interdisciplinary research at the UFZ-Centre for Environmental research in Leipzig, Germany.