Provenance discrimination of fine sediments by mid-infrared spectroscopy: Calibration and application to fluvial palaeo-environmental reconstruction

Determining sediment provenance allows a better understanding of fluvial palaeo-dynamics, and identifying involved watersheds, at broad spatio-temporal scales. Conventional approaches for source identification are usually based on the physical, mineralogical, geochemical, magnetic or isotopic properties of sediments. Rapid, non-destructive and, in well-established contexts, highly accurate, mid-infrared spectroscopy is an alternative method for investigating sediment sources. The present research objectives are: (i) to use the mid-infrared spectroscopy method to discriminate the provenance of fine sediments, by applying discriminant analysis on a large set of reference samples from three different watersheds in the Upper Rhine area (associated with the Rhine, Ill and Vosges tributaries); (ii) to clarify whether the provenance spectra signatures are influenced by riverine depositional contexts (bars versus banks) and, to some extent, by grain size and/or high organic matter content; and (iii) to apply the mid-infrared spectroscopy – discriminant analysis method to a study of fluvial palaeo-dynamics and determine the provenance of palaeo-channel infillings. Three main sedimentary sources, divided into eight sub-categories, have been characterized by 196 modern reference samples from 78 collecting sites. Discriminant analysis displayed a strong separating power by classifying correctly the origin of samples without any inter-group overlap, independently from the geomorphological context (bar or bank) and associated slight changes in organic matter contents or grain size. Mid-infrared spectroscopy – discriminant analysis investigations of the palaeo-channel infill, complemented by radiocarbon dates and mineralogical data, allowed reconstructing general trends for the local morpho-sedimentary dynamics over the last ca 12 millennia.     

基于权重反分析方法的加权距离判别法及应用

距离判别分析法在应用过程中常将各评价指标的重要性视为一致,实际上各指标重要性是不同的,故需对各指标进行加权处理。权重的合理取值对最终的评判结果有着很大的影响,目前尽管确定权重的方法有很多,但都有其不足之处。鉴于此,在马氏距离的基础上,推导了加权马氏距离的求解公式,并采用一对多的分类方法建立了多总体加权马氏距离判别准则。在确定各指标权重时采用了基于优化理论权重反分析的新思路,把直接给权重问题转化为通过实际工程样本反求各影响因素权重问题,该方法不需先知经验,求解过程完全由实际样本驱动,具有很强的可操作性。将改进后的加权距离判别分析方法应用于实际工程中的围岩分类问题,结果表明,该方法的判别结果是可靠的。距离加权的方法完善了距离判别分析法理论,权重反分析方法是一种通用方法,可用于任何求解权重的问题,为权重的求解提供了一种新思路。     

基于序列参数的水库地震类型综合判定研究

收集整理了我国大陆东部地区44 组水库地震序列,其中震群型32 组,主余型和孤立型12 组。分别计算了44 组序列的h 值、b 值、归一化熵值K、能量均匀度U、地震发生方式参数ρ 等5 个序列参数。在95% 的置信水平下,对每一参数分震群型、主余型加孤立型两大类进行差异性检验。结果表明,h、U、ρ 值对水库地震序列类型的分类能力不强;b 值平均值虽存在一定差异,但数值分布范围有部分重叠;K 值差异性显著,K = 0. 35 可作为区分震群型与主余型加孤立型两类水库地震序列的判别指标。在此基础上,建立以上述5 个参数为自变量的Fisher 判别函数,用于序列类型的综合判定。结果显示,所有数据全部参与建立判别函数并进行回溯性内符判别检验,识别正确率为97. 6% ;利用32 组序列参数参与判别函数建立,另外10 组进行外推检验,识别正确率为100% ,表明上述综合判别方法具有较高的水库地震序列分类能力。     

Mapping Ecotone Movements: Holocene Dynamics of the Forest Tension Zone in Central Lower Michigan,Usa

This paper presents a novel method for detecting and mapping movements of ecotone boundaries, over both time and space, using existing fossil pollen data. The method combines existing statistical techniques, including discriminant analysis and spatial interpolation, to generate statistically robust maps of ecotone boundaries over time. This method was applied to provide a comprehensive vegetative history of the forest tension zone in the Lower Peninsula of Michigan during the last 10,000 years. Pollen data for nine lakes in the Lower Peninsula were analyzed with discriminant analysis and spatially interpolated with inverse distance weighted to track ecotone movements of the forest tension zone. The forest tension zone has been in existence over the last 10,000 years and has been highly variable over space and time, with at least three major latitudinal shifts, spanning 320 km and 6° of latitude, as well as several less pronounced shifts. These shifts occurred primarily in response to millennial-scale oscillations in climate such as the warmer and dryer conditions associated with the mid-Holocene. A slighter shift was evident in association with the cooler and drier conditions of the Little Ice Age (600-100 cal yr BP). This research demonstrates the sensitivity of Great Lakes forest communities to Holocene climate change and suggests a similar sensitivity of future ecotone dynamics in response to modern global warming.     

Surface description for urban climate studies: A gis based methodology

In order to understand the nature of the urban climate, predict the effects of urbanization, or attempt to ameliorate some of the negative hydroclimatic effects of urbanization, it is necessary to have a good understanding of the role and significance of the urban surface. This paper presents a methodology which uses GIS to represent the characteristics and morphology of the urban surface, which can be used to describe a site objectively, model fluxes, or ensure spatial consistency between measured and modelled data, all of which can vary through time. The methodology is illustrated with respect to Chicago, Illinois. Surface data collected at three spatial scales were used to construct a georeferenced database which was linked to an objective, dynamic accessing system. Spatial variability of surface cover, derived hydroclimatic attributes, and modelled fluxes associated with changes in the urban environment are used to illustrate potential applications of the approach.     

应用Bayes逐步判别分析识别辛176区块Es4储层岩性

辛176区块沙四段储层存在粗砂岩、不等粒砂岩和细砂岩,岩性非均质性较强.“四性”关系研究表明,岩性的准确识别是正确评价储层静态参数,识别油水层特别是低阻油层的前提.这里介绍了Bayes逐步判别方法原理和技术流程,在应用有序聚类分析方法开展测井曲线自动分层的基础上,综合应用自然电位(SP)、自然伽玛(GR)、声波时差(AC)、深探测电阻率(Rt)、浅探测电阻率(Rxo)测井资料和岩心分析资料,建立了粗砂岩、不等粒砂岩、细砂岩和泥岩的判别函数.应用效果表明,Bayes逐步判别法识别岩性符合率达到了86％,能够满足辛176区块沙四段储层岩性识别的需要.     

深孔绳索取心安全打捞器的研制与应用

设计了一种可适用于深孔和干孔的绳索打捞、投放内管总成工具。介绍了深孔绳索取心安全打捞器的工作原理及结构组成;对工具内部的机械控制和井下脱卡控制原理进行了研究;介绍了打捞器井下脱卡的具体方法;最后通过野外试验证实了该打捞器可以减少处理事故的时间,性能稳定,拆装、维护方便。     

基于改进PSR模型的城市土地利用警情判别研究——以南京市为例

基于系统论构建改进的PSR模型,通过探究压力、状态、响应系统要素作用机理构建南京市城市土地利用警情判别指标,并运用数理量化模型开展警情综合评价。结果表明:(1)2009—2016年南京市城市土地利用压力系统和状态系统警情为“倒U”型且呈上升态势,响应系统警情为“倒U”型且呈下降态势。(2)2009—2016年南京市城市土地利用警情总体上为“倒U”型且呈波动上升态势。(3)压力系统是造成南京市城市土地利用综合警情难以显著转变的关键,同时受经济发展与土地集约利用协调度、土地生态治理力度、用地结构与人口分布均衡度等要素影响。     

Multivariate discriminant analysis distinguishes metal- from non metal-related biomarker responses in the clam Chamaelea gallina

Molecular biomarkers are among the most sensitive and earliest responses to pollutants. However, lack of detailed knowledge on variability of responses and their possible seasonal variation limit their use. In addition, the seasonality of biological processes modulates the response of organisms to pollutant stressors. Using multivariate statistics, we have studied the influence of environmental and biological factors on the response of a battery of molecular biomarkers in the clam Chamaelea gallina collected along the South-Spanish littoral. Multivariate discriminant analysis clearly distinguished biomarker response between clean and polluted areas, using heavy metals as indicator of pollution. Such differences disappeared when the dataset was normalised for metal content, thus indicating that pollution was the main significant cause of the changes observed between clean and polluted sites. In conclusion, this work shows that, when applying a complete biomarker panel, multivariate statistical tools can be used to discern pollutant- from non pollutant-related responses.