Distribution of phytoplankton community in relation to environmental parameters in cage culture area of Sepanggar Bay,Sabah, Malaysia

This paper covers spatial and temporal variation in phytoplankton communities and physico-chemical water properties in the cage culture area of Sepanggar Bay, Sabah, Malaysia based on field measurement conducted during July 2005 to January 2006 to study the spatial and temporal variation in phytoplankton communities and physico-chemical water properties of the bay. Phytoplankton samples and water parameters data were collected from five different stations located inside the bay during Southwest, Interseasonal and Northeast monsoons. Forty phytoplankton genera, representatives of 23 families, were found in the study area with a mean abundance of 1.55 ± 1.19 × 10⁶ cells L⁻¹. Most of these genera belong to diatoms (82.17%), Dinoflagellates (17.55%) and cyanobacteria (0.29%). Three genera were found to be dominant (>10%) in phytoplankton abundance and these were Coscinodiscus spp. (36.38%), Chaetoceros spp (17.65%) and Bacteriastrum spp. (10.98%). The most dominant genus was Coscinodiscus spp. which showed high abundance during all monsoons and stations (except Station 3). Among the seven environmental parameters tested in this study, water temperature, pH and suspended sediment concentration were found to be significantly different between monsoons. On the other hand, no significant differences were found between stations for the studied physico-chemical parameters. A clear differences in phytoplankton densities were observed between monsoons and stations with higher mean abundances during interseasonal monsoon (2.40 ± 1.37 × 10⁶ cells L⁻¹) and at station five (2.05 ± 0.74 × 10⁶ cells L⁻¹), respectively. Conversely, the diversity indices, both Shannon–Wiener (H^′)$\left(H^{\prime }\right)$ and Pielou (J^′)$\left(J^{\prime }\right)$, showed no significant difference throughout stations and monsoons (except (H^′)$\left(H^{\prime }\right)$ for monsoons). Analysis of similarity (ANOSIM) results demonstrated temporal differences in phytoplankton community structure with highly diverse phytoplankton assemblage. Through cluster analysis five groups of phytoplankton were attained (at 40% similarity level) though no marked separation of the taxonomic classes pointed towards the constant pattern of the phytoplankton assemblage in the studied area.     

Mapping benthic habitat in regions of gradational substrata: An automated approach utilising geophysical,geological, and biological relationships

The relationship between acoustic backscatter, sediment characteristics and benthic habitat is examined using high-resolution sidescan sonar data collected at the Loch Linnhe artificial reef site on the west coast of Scotland. The site is typical for the continental shelf of NW Europe, with a mix of seabed environments from muddy to coarse, stony substrata on a 10–100 m length scale. A sidescan sonar mosaic was produced and classified according to derived backscatter parameters (mean, median and standard deviation of the backscatter values) using an unsupervised classification procedure. The accuracy of the final classified map was assessed by comparison with a ground-truthing survey in which the biological habitat was derived from underwater video footage. The sidescan correctly predicted seabed surface characteristics of observed biological habitat with 78% accuracy. A second, and more challenging test of the acoustic data to correctly predict biological habitat was made by comparing it with data from 21 grab sampling stations. These stations were divided into three groups using multivariate statistical techniques based on their backscatter properties. Benthic assemblage structure was found to be significantly distinct between the high and low, and the medium and low backscatter stations. There was a low to moderate but significant correlation between the multivariate patterns of acoustic backscatter, benthic assemblage structure, and particle size distribution. The work shows that even in areas with subtle and gradational changes in substratum, the sidescan was able to predict biological community with an acceptable accuracy.     

流体替代技术及应用分析

地震技术是研究隐蔽油气藏的关键技术。岩石物理是地震信号与储层性质之间的桥梁,它可以帮助我们更好的理解岩石和流体性质的地震响应。流体替代分析是岩石物理分析的重要部分,它是流体识别和储层定量研究的工具之一,在AVO分析中起了重要的作用。流体替代的理论基础是Gassmann方程。在岩石物理技术指导下,对某工区探井进行了流体替代分析,并根据替代后的结果分析了波阻抗随深度、岩性和含油气性变化的规律,同时根据替代结果进行了AVO正演研究,比较分析了储层中流体分别为盐水、气和油时的响应特征,并据此根据实际的部分叠加道集进行了烃类异常识别。     

震区植被恢复初期土壤理化性质与土壤呼吸间的关系

为了解地震灾区不同恢复方式下土壤理化性质和土壤呼吸间的关系,选取2种典型气候区(干旱河谷气候区与亚热带季风气候区)为研究区,设置人工恢复、未受损、自然恢复3种恢复方式的固定样地,定期测定土壤呼吸与土壤理化性质(有机碳、全氮、全磷、速效氮、有效磷、容重、孔隙度、电导率和pH值),并分析各因子间的相关关系。结果表明:气候类型显著影响土壤全氮、容重、孔隙度、电导率以及土壤呼吸,表现为干旱河谷气候区显著优于亚热带季风气候区;恢复方式显著影响土壤呼吸速率、有机碳、全氮、全磷、速效氮、有效磷含量、C:P、N:P、容重、孔隙度和电导率,基本表现为未受损样地优于人工恢复样地优于自然恢复样地;二者交互作用显著影响土壤呼吸、土壤物理性质和除全磷、有效磷外主要土壤养分的流失。两种气候区土壤呼吸的影响因子不同,干旱河谷气候区主要为土壤有机质、全氮、全磷、速效氮、pH值、容重和孔隙度,亚热带季风气候区主要为土壤有机质、全氮、速效氮、容重和孔隙度。本研究为评价和优化西南地区灾后恢复治理措施提供一定科学依据,对其生态安全维护和生态屏障建设提供帮助。     

Distinguishing extensive and intensive properties for meaningful geocomputation and mapping

A most fundamental and far-reaching trait of geographic information is the distinction between extensive and intensive properties. In common understanding, originating in Physics and Chemistry, extensive properties increase with the size of their supporting objects, while intensive properties are independent of this size. It has long been recognized that the decision whether analytical and cartographic measures can be meaningfully applied depends on whether an attribute is considered intensive or extensive. For example, the choice of a map type as well as the application of basic geocomputational operations, such as spatial intersections, aggregations or algebraic operations such as sums and weighted averages, strongly depend on this semantic distinction. So far, however, the distinction can only be drawn in the head of an analyst. We still lack practical ways of automation for composing GIS workflows and to scale up mapping and geocomputation over many data sources, e.g. in statistical portals. In this article, we test a machine-learning model that is capable of labeling extensive/intensive region attributes with high accuracy based on simple characteristics extractable from geodata files. Furthermore, we propose an ontology pattern that captures central applicability constraints for automating data conversion and mapping using Semantic Web technology.     

河南省人工增雨飞机云微物理探测设计

人工增雨是一项研究型业务,飞机外场作业、探测是它的重点,只有根据一定目的方案设计下才能体现探测、作业资料的研究价值。根据河南省人工增雨作业、探测分析研究的需要并结合行业专项飞机探测,探讨了5种云微物理探测目的及相应飞机探测设计:1典型锋面云系垂直剖面结构探测;2降水性层状云垂直结构探测;3人工增雨催化作业效果检验飞行探测;4云中过冷水探测;5催化剂在云中的扩散及其物理响应的探测。以2013年3月25日飞机人工增雨探测为例,探讨了飞行探测人工增雨的催化作业效果检验。     

不同岩性火山岩力学性质实验研究

黄沙坨地区位于辽河断陷盆地东部凹陷中段,古近纪沙河街组第三段沉积时期发育了巨厚的火山岩,为该区形成火山岩油气藏奠定了成藏条件。由于油层岩石的力学性质,影响着油田生产,因此,经过实验室对不同岩性的火山岩力学性质的试验测试,得到油田生产所需的相关的力学参数及相关的地质信息,为油田勘探、开发及相关的工程设计发挥重要作用。试验结果表明,粗面岩以张性破裂为主,玄武岩以剪切破裂为主。这对油田研究水力压裂裂缝形态及储层天然裂缝形态提供了重要的地质依据。软化系数的较大波动,表现出地下流体对油层岩石的环境作用。     

基于双偏振雷达和降水现象仪的郑州“7·20”极端强降水微物理特征分析

利用降水现象仪、双偏振雷达、常规气象观测资料和再分析数据,分析了郑州“7·20”极端强降水过程的微物理特征。此次过程受多尺度天气系统的共同影响,为复杂多变的降水微物理特征提供了有利的环境条件。结果表明,此次过程地面雨滴谱分布随时间存在明显变化,雨滴谱参数分布较广,覆盖了从大陆性对流降水至海洋性对流降水的分布区域。20日16—17时最强降水时段,小粒子数密度显著高于东亚地区普通对流性降水的统计结果和华南地区夏季平均值,且存在大量大粒子,保证了极高的降水效率。双偏振雷达参量的垂直结构反演结果显示,对流系统质心低,具有典型的暖云特征;0 ℃层以上冰相过程相对活跃,0 ℃层以下强烈的暖雨过程,大量的冰相粒子落下并融化和低层高效率的雨滴碰并增长过程,导致各尺度高浓度雨滴的生成,最终形成地面的极端强降水。     

云凝结核浓度对南京地区一次冰雹云过程影响的数值研究

采用WRF模式与包含了云凝结核(Cloud Condensation Nuclei,CCN)浓度和霰雹密度预报的NSSL(National Severe Storm Laboratory,国家强风暴实验室)微物理方案,模拟不同CCN初始浓度条件下南京地区的一次冰雹云过程,分析不同CCN初始浓度影响下冰雹云过程的宏微观演变特征,以及对流发展不同阶段的水凝物粒子及流场、温度场的垂直分布特征。研究发现:1)较大的CCN初始浓度虽然抑制了前期对流降水,但对后期对流降水的产生有促进作用;2)CCN初始浓度的增加使得模拟雷达回波的强回波区域(大于40 dBz)缩小,中等强度区域(小于40 dBz)扩张。3)CCN初始浓度增大不利于对流发展初期云雨自动转化过程的发生,但是促进了冰晶与雪的产生,使得冰雹含量峰值出现的时间推迟。4)CCN浓度增大抑制了雨水产生,间接使得霰粒子更倾向于干增长,平均密度更小;5)较大的CCN浓度促使冰雹云单体的发展时间增长。     

黄海、东海海区水体散射特性研究

半分析模型是水色遥感反演算法的研究热点,而水体后向散射系数对建立半分析水色反演模型是非常重要的参数.通过对黄海、东海海区的水体固有光学量测量数据进行分析,得到水体总后向散射系数与水体总散射系数的关系为乘幂关系,颗粒物后向散射系数随光谱变化的指数在高低浑浊度水体有很大差异,并初步得到黄海、东海海区水体的后向散射系数与总悬浮物浓度的关系,从而为水色半分析模型建立和水光学辐射计算提供一组散射特性模型.