贵州早二叠世海相碳酸盐岩稳定同位素组成与玄武岩浆喷发热事件的关系

本文详细讨论了贵州织金地区早二叠世第一旋回海底喷发玄武岩浆对海相碳酸盐岩的碳、氧、锶同位素组成的影响,这主要表现为玄武岩浆喷发热事件导致了碳酸盐岩的δ~(1(?))C、δ~(18)O及~(87)Sr/~(86)Sr值的明显下降。     

MODIS遥感监测滇池蓝藻水华分布

以中分辨率的MODIS数据作为遥感影像源,运用蓝藻水华在蓝波段、红波段和近红外波段的光谱特征,使用假彩色合成法（RGB：6-2-1）和归一化植被指数法对滇池的蓝藻水华进行遥感监测。通过星地同步试验,证明了该两种方法的正确性。其中假彩色合成法通过色彩差异表现蓝藻水华,具有视觉效果较好的优点,归一化植被指数法则以数值大小的方式区别水华浓度,该方法建立反演模型后可用于定量研究。     

一种新的统计回归模型及其建模方案

根据经典门限自回归模型的基本思想,引入半截多项式变换,导出了一种新的统计回归模型,并提出了相应的一整套建模方案。这种模型和建模方案的特点是:（1）解决了统计回归分析中逐段线性化模型的检验问题;（2）在确定统计回归模型中各待估参数和变量——包括门限变量、门限值、阶数、时滞和回归系数时显得十分方便、快捷。试验结果表明,根据此方案建立的统计回归模型具有较高的拟合和预报精度,同时具有良好的稳定性。     

基本气流在局域流型演化过程中的作用

用一个β平面准地转正压模式,实施了5组时间积分为72个模式日的试验,分析了不同基本气流对局域流型演化特征的作用。结果指出:强的基本气流相应于持续性干旱流型;弱的基本气流相应于间歇性的干旱流型。     

日本虎斑猛水蚤在抑食金球藻中存活、发育和繁殖的实验研究

抑食金球藻(Aureococus anophagefferens)可以形成褐潮, 并对贝类、浮游动物等多种生物均能造成不利影响。为进一步探究抑食金球藻对浮游动物的影响, 本文以日本虎斑猛水蚤(Tigriopus japonicus)为实验生物, 研究抑食金球藻对日本虎斑猛水蚤摄食、存活、生长发育以及繁殖的影响。日本虎斑猛水蚤具有易于在实验室培养、生长周期短、雌雄异体等优点, 是海洋毒性污染物检测的模式生物。实验利用高效液相色谱分析方法, 在日本虎斑猛水蚤体内色素中检测到了抑食金球藻的特征色素19’-丁酰氧基岩藻黄素(But-fuco), 表明日本虎斑猛水蚤能够摄食抑食金球藻。当微藻生物量(相对碳含量)分别同为0.7 μg/mL和7.2 μg/mL时, 在抑食金球藻中无节幼体发育至桡足幼体及成体的存活率均高于以青岛大扁藻为饵料的对照组, 但无显著差异, 并且在前者中无节幼体的发育时间显著低于后者, 12 d内雌体的产卵次数与产卵量显著高于后者。结果表明, 日本虎斑猛水蚤在抑食金球藻中能进行正常的生命活动, 并且是首次报导的一种能够在抑食金球藻中正常摄食、生存、生长发育和繁殖的浮游动物。因此, 当褐潮发生时, 由于贝类幼体等生物会受到显著的不利影响, 日本虎斑猛水蚤等抗性较强的生物可能会成为优势种, 从而会影响浮游动物群落结构的组成, 进而可能会使整个海洋生态系统发生变化。本研究有助于全面了解褐潮对海洋生态系统的影响。     

南亚热带富营养化抽水型水库轮虫的组成与动态

大镜山水库位于广东省珠海市,是一座供应珠海市和澳门特别行政区饮水的抽水型中型水库.抽水改变了水体的水动力过程以及水体生态系统的动态过程.为了解这一动态过程中轮虫的群落结构及环境冈子对轮虫的影响,于2005年1-12月,每月一次对该水库敞水区进行了采样调查.共采集到轮虫32种,其中,臂尾轮科12种,异尾轮科、腔轮科各有4种,它们主要是热带、亚热带地区的常见种和优势种类.热带龟甲轮虫(Keratella tropica)、对棘异尾轮虫(Trichocerea stylata)、螺形龟甲轮虫(Keratella cochlearis)、迈氏三肢轮虫(Filinia maior)、裂痕龟纹轮虫(Anuraeopsis fissa)、角突臂尾轮虫(Brachionus angularis)、剪形臂尾轮虫(Brachionus forficula)、卵形无柄轮虫(Ascomorpha ovalis)、敞水胶鞘轮虫(Collotheea pelagiea)和卜氏品囊轮虫(Asplanchna brightwelli)为优势种,这些优势种个体小、具有硬被甲.轮虫的多样性指数在0.29-0.81之间变动,与相同营养水平的湖泊相比,大镜山水库轮虫的种类数和多样性指数均较低,轮虫丰度和生物量的分布范围分别为21-1094ind./L和4.04-1127μg/L,高峰期均出现在2月和5月,二者具有相似的动态特征.轮虫个体的大小范围在50-620μm之间,轮虫种类和丰度的组成均以200μm以下的小型个体为主,如裂痕龟纹轮虫、角突臂尾轮虫等,轮虫生物量组成主要是以200-400μm的中型个体为主,如卜氏晶囊轮虫、萼花臂尾轮虫(Brachionus Calyeiflorus)等,温度、透明度、浮游植物生物量和蓝藻生物量是影响水库轮虫群落结构特征和动态的主要环境因子.     

云南滇池微生物对磷循环与沉积作用的实验研究

对滇池磷的现代沉积作用的研究中发现,滇池微生物种群和数量繁多,但能对磷溶解、转化、迁移、聚集、沉积的微生物主要有解磷菌和聚磷菌两类。在底泥磷高含量区域,解磷菌的种群和数量与底泥磷含量成负相关关系,与水体磷含量成正相关关系,而聚磷菌的种群和数量与底泥磷含量成正相关关系,与水体磷含量成负相关关系;在底泥磷低含量区域,上述相关性则相反。表明当解磷菌的种群与繁衍量大于聚磷菌的种群和繁衍量时,底泥中的磷向水体迁移,反之,水体中的磷向底质迁移、聚集。这个事实令人信服的证明了微生物对磷循环的重要作用。滇池这种活着的微生物在自然环境条件下对磷的溶解、转化、迁移、聚集和沉积的作用,对古磷块岩微生物成矿说提供了可靠的证据,且对以磷为限制性因子的湖、海、江河环境污染的防治提供了理论资料。     

An algorithm to retrieve precipitation with synthetic aperture radar

This paper presents a new type of rainfall retrieval algorithm, called the model-oriented statistical and Volterra integration. It is a combination of the model-oriented statistical (MOS) and Volterra integral equation (VIE) approaches. The steps involved in this new algorithm can be briefly illustrated as follows. Firstly, information such as the start point and width of the rain is obtained through pre-analysis of the data received by synthetic aperture radar (SAR). Secondly, the VIE retrieval algorithm is employed over a short distance to obtain information on the shape of the rain. Finally, the rain rate can be calculated by using the MOS retrieval algorithm. Simulation results show that the proposed algorithm is effective and simple, and can lead to time savings of nearly 50% compared with MOS. An example of application of SAR data is also discussed, involving the retrieval of precipitation information over the South China Sea.     

Grid pattern recognition in road networks using the C4.5 algorithm

Pattern recognition in road networks can be used for different applications, including spatiotemporal data mining, automated map generalization, data matching of different levels of detail, and other important research topics. Grid patterns are a common pattern type. This paper proposes and implements a method for grid pattern recognition based on the idea of mesh classification through a supervised learning process. To train the classifier, training datasets are selected from worldwide city samples with different cultural, historical, and geographical environments. Meshes are subsequently labeled as composing or noncomposing grids by participants in an experiment, and the mesh measures are defined while accounting for the mesh’s individual characteristics and spatial context. The classifier is generated using the C4.5 algorithm. The accuracy of the classifier is evaluated using Kappa statistics and the overall rate of correctness. The average Kappa value is approximately 0.74, which corresponds to a total accuracy of 87.5%. Additionally, the rationality of the classifier is evaluated in an interpretation step. Two other existing grid pattern recognition methods were also tested on the datasets, and comparison results indicate that our approach is effective in identifying grid patterns in road networks.     

Livelihood changes and evolution of upland ethnic communities driven by tourism: a case study in Guizhou Province,southwest China

As an effective livelihood approach to alleviate poverty without rural population migration, ethnic tourism has become the primary choice of economic development in ethnic areas worldwide in addition to traditional livelihood approaches. This article applies the theories of livelihood to study the community evolution driven by tourism livelihood and examine three mountainous tourism communities in different stages of tourist area life cycle. Drawing on the methods of GIS spatial analysis, semi-structured interviews and questionnaires, this article proposes a sustainable livelihood framework for ethnic tourism to explore the evolution of ethnic tourism communities by identifying changes in livelihood assets (natural, financial, social, cultural and human capitals) in the process of tourism development. The results show that the development of ethnic tourism has led to changes in the increase of building land, and the diversification of land use functions with a trend of shifting from meeting local villagers' living needs to satisfying tourists, income composition and uneven distribution of tourism income spatially. Ethnic tourism also led to the deterioration of traditional social management structure, collapse of neighboring relationship, the over- commercialization and staged authenticity of ethnic culture, as well as the gradual vanish of agricultural knowledge with a trend of increasing modern business knowledge and higher education. In addition, these changes, involving livelihood assets from natural, economic, human, social and cultural aspects are interrelated and interactive, which form new evolution characters of ethnic community. This study reveals the conflicts over livelihood approaches which have formed new vulnerabilities to impact on sustainable evolution of ethnic communities. This research provides implications for achieving the sustainable development of ethnic communities with the driving force of tourism livelihood.