产业集群与浦东集成电路产业建设

产业集群的形成是现代经济发展中的一个非常重要的现象。浦东集成电路产业集群是“国家集成电路产业基地”的核心,产业集群的形成对浦东集成电路产业提高竞争力具有重要的意义。本文分析了浦东集成电路产业集群的发展现状。指出目前浦东集成电路产业集群的建设还处于一个初步阶段,无论是企业间,还是企业与高校、科研机构或者其他组织机构间的创新合作交流都十分有限,从而在一定程度上抑制了集成电路产业整体学习能力和竞争力的提高。文章针对这些问题,从产业链、区域性产业发展政策、环境配套设施建设等方面提出了加强浦东集成电路产业集群建设的对策建议。     

"干中学"与产业集群核心能力的形成

本文构建了产业集群核心能力的分析框架,从理论上说明学习效应是产业集群发展的内生动力,产业集群的学习是一个“干中学”的过程.     

基于混合聚类的岩体结构面优势分组方法

提出一种基于凝聚层次法和模糊C均值法的混合聚类法,用于对岩体结构面的优势组划分。该方法将结构面投放到在单位球面上,并使用欧式距离作为极点的相似性度量准则。先剔除结构面数据中的孤值产状,然后用凝聚层次法得到初步聚类结果,并将其作为FCM法的初始聚类中心,最后用FCM法划分优势组。通对人工生成产状样本的分组,验证了该法的正确性。将该方法应用于大藤峡坝址区实测的结构面数据的划分。在实测数据中寻找到两个孤值产状,成功将大藤峡D1y^1-3地层岩体结构面划分为两组,得到了符合实际的分组结果。     

地震信息网络数据的动态存储方法研究

为了提高地震信息网络数据存储的效率和稳定性,本文提出一种地震信息网络数据的动态储存方法。首先,设计和分析地震信息网络数据的动态存储系统中的硬件部分,基于Hadoop的分布式集群大数据动态存储系统,整合多台存储服务器,为一个集群系统,并平衡存储服务器负载情况,获取性能指标的比例值,通过加权公式获取综合性能参数,根据综合负载指标和服务器综合指标参数获取最佳存储服务器。对本文系统、高速数据存储系统和网络编码云存储系统进行大数据动态存储对比实验。实验结果表明:地震信息网络数据的动态存储耗时最短,存储效率最快;具有较高存储稳定性,且不会出现过载问题。     

Geochemical evolution of groundwater in hard-rock aquifers of South India using statistical and modelling techniques

ABSTRACT

Multivariate statistical analysis and inverse geochemical modelling techniques were employed to deduce the mechanism of groundwater evolution in the hard-rock terrain of Telangana, South India. Q-mode hierarchical cluster analysis (HCA) and principal component analysis (PCA) were used to extract the hydrogeochemical characteristics and classify the groundwater samples into three principal groups. Use of thermodynamic stability diagrams and inverse geochemical modelling in PHREEQC identified the chemical reactions controlling hydrogeochemistry of each of the groups obtained from statistical analysis. The model output showed that a few phases are governing the water chemistry in this area and the geochemical reactions responsible for evolution of groundwater chemistry along the flow path are (i) dissolution of evaporite minerals (dolomite, halite); (ii) dissolution of primary silicate minerals (albite, anorthite, K-feldspar, biotite); (iii) precipitation of secondary silicate minerals (kaolinite, quartz, gibbsite, Ca-montmorillonite) along with anhydrite and calcite; and (iv) reverse ion exchange processes.     

安徽太平湖浮游植物群落结构

安徽太平湖已被列入国家第二批生态环境保护专项.于2012年11月到2014年10月对太平湖浮游植物进行调查,共鉴定出浮游植物109属150种.其中绿藻门最多,共计46属80种,占总种数的53.33%.黄藻门未在镜检中出现,团藻在3个样品中出现;浮游植物丰度平均值为212.81×10~4cells/L,生物量平均值为1.04 mg/L.Shannon-Wiener多样性指数和Pielou均匀度指数平均值分别为2.17和0.61.优势种共4门17种,其中O-寡污带指示藻1种,P-多污带指示藻4种,其余12种藻类均为β-中污带指示藻,啮蚀隐藻(Cryptomonas erosa)和尖尾蓝隐藻(Chroomonas acuta)未成为优势种,太平湖优势门类为硅藻和蓝藻;2013和2014年变化表明,太平湖浮游植物群落结构有变化但变幅不大,浮游植物群落结构处于比较稳定的状态;浮游植物聚类分析表明,夏、秋季太平湖浮游植物群落结构相似,H1、H2和H3采样点浮游植物群落结构相似,H4和H5采样点浮游植物群落结构相似;相关性分析表明,丰度、生物量与水温呈极显著正相关,丰度、生物量与透明度呈极显著负相关,水质指标的变化会直接影响到浮游植物的变动,并伴随太平湖水库生态系统的相关复杂变化和生态学过程.     

利用谱聚类方法研究新丰江库区的震源机制解

为检验震源机制解谱聚类方法的实用性,选择新丰江库区为研究区域,利用FOCMEC方法反演了该区域2012年1月1日—2018年12月31日M_L2.0以上地震的震源机制解,并对其进行了谱聚类分析,最终获得该区域7种震源机制解类型;通过分析每种类型的震源机制解特征及其时空分布特征,探讨了震源机制解类型分布与区域构造的关系。结果表明:(1)新丰江库区地震破裂类型以正断型为主,兼有部分倾滑分量,其次为走滑型;(2)不同类型的震源机制解具有区域性的空间分布特征,主要受不同的构造背景影响,反映了新丰江库区地震活动和构造特征之间的关系;(3)不同类型震源机制解所描述的断裂分布反映了峡谷及大坝区库水渗透的构造条件,解释了区域地震频发的可能原因;(4)每种类型的震源机制解在研究时间范围内数量变化较为稳定。     

河南省近40年地表干湿状况及变干趋势研究

使用1961～2000年河南省75个站的月降水量、月平均气温和相对湿度资料,计算了各站历年的湿润度指数,并在对该指数聚类分析的基础上对河南省进行了干湿区划.结果表明：河南全区可分为5个气候区,各区的地表干湿状况具有一定的差异;就平均而言,全区地表呈缓慢变干的趋势,这种状况可能是由于降水量减少和温度升高造成的.     

High-resolution sequence stratigraphy of clastic shelves V: Criteria to discriminate between stratigraphic sequences and sedimentological cycles

In contrast to high-frequency sequences driven by high-magnitude relative sea-level changes, those controlled by short-term, minor relative sea-level and/or sediment supply changes may be difficult to discriminate from sedimentological cycles (i.e., bedsets) unrelated to shoreline shifts, especially in case of limited outcrop exposures. In fact, meter-scale, fully shallow-marine high-frequency sequences and typical meter-scale bedsets may share a similar, simple facies succession documenting either an upward increase or decrease of event beds. It is therefore necessary to define a set of criteria that allows to discriminate between thin high-frequency sequences and bedsets, based on sedimentological, stratigraphic, micropaleontological, mineralogical and diagenetic data. In particular, the sedimentological and stratigraphic criteria that aid discriminating between high-frequency sequences and bedsets include: 1) occurrence of environmental changes across bounding surfaces; 2) occurrence of water-depth changes across bounding surfaces; 3) physical appearance of bounding surfaces and associated substrate-controlled ichnofacies; 4) lateral extent of bounding surfaces; 5) presence of condensed deposits; 6) cycle thickness; 7) recognition of a set of clinoforms in a regressive shoreface-shelf succession. Moreover, the formation of wave-ravinement surfaces in the shoreface is usually associated with an increase in the percentage of benthic micro-foraminifera specimens documenting energetic conditions, and in the abundance of heavy minerals. Extensive cementation may also be found just below and/or above transgressive surfaces. However, the integration of more than one of the above criteria is necessary to reliably discriminate between sequence stratigraphic surfaces (and therefore high-frequency sequences) and bedset boundaries, the latter being only related to changes of energy level and/or local sediment supply without shoreline shifts. This work is essential to correctly reconstruct the sequence stratigraphic framework of a given succession and to interpret the factors that controlled the cyclicity.