钱塘江强潮河段江道缩窄治理研究

对钱塘江强潮河段江道缩窄治理进行研究。首先,回顾治理方案的比选,江道全线缩窄时河轴线线路和河道宽度的确定原则,以及不同河段的指数放宽率。然后,介绍了在涌潮汹涌、滩涂淤坍变化剧烈的强潮河段,实施筑堤所采取的工程措施的步序与要点。最后,分析论证了大规模江道缩窄治理后河床、潮汐、洪水位及涌潮高度等特征值的变化。可供进一步深入理论研究和工程施工参考运用。     

Cloning and sequence analysis of a full-length cDNA of <Emphasis Type="Italic">SmPP1cb</Emphasis> encoding turbot protein phosphatase 1 beta catalytic subunit

Reversible protein phosphorylation, catalyzed by protein kinases and phosphatases, is an important and versatile mechanism by which eukaryotic cells regulate almost all the signaling processes. Protein phosphatase 1 （PP1） is the first and well-characterized member of the protein serine/threonine phosphatase family. In the present study, a full-length cDNA encoding the beta isoform of the catalytic subunit of protein phosphatase l（PPlcb）, was for the first time isolated and sequenced from the skin tissue of flatfish turbot Scophthalmus maximus, designated SmPPlcb, by the rapid amplification of cDNA ends （RACE） technique. The cDNA sequence of SmPPlcb we obtained contains a 984 bp open reading frame （ORF）, flanked by a complete 39 bp 5＇ untranslated region and 462 bp 3＇ untranslated region. The ORF encodes a putative 327 amino acid protein, and the N-terminal section of this protein is highly acidic, Met-Ala-Glu-Gly-Glu-Leu-Asp-Val-Asp, a common feature for PP1 catalytic subunit but absent in protein phosphatase 2B （PP2B）. And its calculated molecular mass is 37 193 Da and pI 5.8. Sequence analysis indicated that, SmPPlcb is extremely conserved in both amino acid and nucleotide acid levels compared with the PPlcb of other vertebrates and invertebrates, and its Kozak motif contained in the 5＇UTR around ATG start codon is GXXAXXGXXATGG, which is different from mammalian in two positions A6 and G3, indicating the possibility of different initiation of translation in turbot, and also the 3＇UTR of SmPPlcb is highly diverse in the sequence similarity and length compared with other animals, especially zebraf＇lsh. The cloning and sequencing of SmPPlcb gene lays a good foundation for the future work on the biological functions of PP1 in the flatfish turbot.     

WebGIS及网络发布探讨

阐述了WebGIS的特点：开放性、互操作性和分布性;广泛的客户访问范围;良好的可扩展性和平台独立性。简明介绍了网络GIS的实现技术,探讨了如何使用ASP语言实现网络发布的方法,并给出了部分代码,提出了今后WebGIS发展趋势：动态仿真、虚拟现实与WebGIS的结合;移动通信技术与GIS的有机结合;开放式地理信息系统;基于网格计算的新一代WebGIS。     

3S技术支持下的小型遗址提取方法

针对仅利用地物光谱分析方法不能识别某些小型遗址的现状,提出基于地物空间关系知识,多源信息复合提取遗址的思路获取目标信息。以安徽省巢湖柘皋地区为例,利用SPOT-5卫星影像和地形图数据,综合运用3S技术进行小型遗址信息提取研究。经过和巢湖文管部门普查记录对比,证明了该方法有效性。该方法可缩小遗址探查范围,为考古普查工作节约大量时间、人力和物力。     

辽西金羊盆地南部髫髻山组陆相火山岩及旋回层序划分

辽西金羊盆地（金岭寺－羊山盆地）南部髫髻山组陆相火山岩发育,为一套以中性为主的基性、中基性、中性火山岩组合。火山岩碱度主要为钙碱性。火山岩形成环境为活动大陆边缘区,这与本区所处大地构造位置相吻合。根据当前火山岩的研究现状,尝试性地对该盆地髫髻山组火山岩进行了火山喷发旋回层序的划分,共划分了四级火山喷发旋回层序。其中 A-A′剖面Ⅰ级 1个,Ⅱ级 5个,Ⅲ级 17个,Ⅳ级 21个; B-B′剖面Ⅰ级 1个,Ⅱ级 5个,Ⅲ级 18个,Ⅳ级 24个。     

从全球生产网络到全球金融网络：理解全球-地方经济联系的新框架

全球化带来的新国际劳动分工使全球生产网络(Global Production Network, GPN)成为研究全球经济与区域发展的重要框架。与此同时,金融在现代社会经济运行中的地位日益提升,经济金融化在全球不同尺度下深刻影响着经济活动的空间分布和网络。因此,金融已经成为GPN研究不能忽略的重要环节。更重要的是,金融化带来的逻辑也日益深刻地影响到GPN的演化和运行。尽管GPN研究日益重视金融的作用,并开始研究金融业的全球生产网络,但是随着越来越多的企业通过获得国际股权投资或者在境外资本市场上市等方式融入全球资本市场,主要从生产角度理解地方经济融入全球过程的GPN难以对该现象深入分析。全球金融网络(Global Financial Network, GFN)为刻画和分析这个过程提供了新的框架。在这个分析框架中,地方经济体通过高级商业服务业(Advanced Business Service, ABS)企业与世界城市(国际金融中心)和离岸管辖区产生联系,从而融入GFN。论文介绍了GFN的基本结构,探讨了地方经济融入GFN的主要方式及其产生的影响。最后,提出GFN未来在理论和实证方面可继续深入研究的方向。     

基于DEM分形特征的坡度尺度变换模型

利用DEM提取坡度具有明显的尺度依赖性,探求DEM在不同尺度下表现出的规律关系,建立多尺度变换模型,以实现不同尺度间的转换是地形分析研究的热点和难点。本文阐释了DEM表面与地表粗糙度分形维数值的地学意义及内在关系,并利用分形对象的自相似性原理,建立了一种基于DEM分形特征的坡度尺度变换模型。选取四川丘陵地区某小流域为研究区,进行坡度尺度变换实验和误差分析,结果表明该模型能有效实现坡度尺度变换:在非平坦地区(坡度>1°)一般重采样方法变换得到的坡度误差为该方法的1.86倍;从信息熵理论分析,经该方法转换后的坡度信息得到了显著恢复。对于无1︰1万及以上精度地形数据的西南山区,利用该方法获取高精度坡度数据具有重要的理论价值和现实意义。     

Predictability of Chinese Summer Extreme Rainfall Based on Arctic Sea Ice and Tropical Sea Surface Temperature

Chinese summer extreme rainfall often brings huge economic losses, so the prediction of summer extreme rainfall is necessary. This study focuses on the predictability of the leading mode of Chinese summer extreme rainfall from empirical orthogonal function(EOF) analysis. The predictors used in this study are Arctic sea ice concentration(ASIC) and regional sea surface temperature(SST) in selected optimal time periods. The most important role that Arctic sea ice(ASI) plays in the appearance of EOF1 may be strengthening the high pressure over North China, thereby preventing water vapor from going north. The contribution of SST is mainly at low latitudes and characterized by a significant cyclone anomaly over South China. The forecast models using predictor ASIC(PA), SST(PS), and the two together(PAS) are established by using data from 1980 to 2004. An independent forecast is made for the last 11 years(2005-2015). The correlation coefficient(COR) skills between the observed and cross-validation reforecast principal components(PC) of the PA, PS, and PAS models are 0.47, 0.66, and 0.76, respectively. These values indicate that SST is a major cause of Chinese summer extreme rainfall during 1980-2004. The COR skill of the PA model during the independent forecast period of 2004-2015 is 0.7, which is significantly higher than those of the PS and PAS models. Thus, the main factor influencing Chinese summer extreme rainfall in recent years has changed from low latitudes to high latitudes. The impact of ASI on Chinese summer extreme rainfall is becoming increasingly significant.     

Case Study of Fog Predictability for an Event with Cold-Front Synoptic Pattern

Fog has recently become a frequent high-impact weather phenomenon along the coastal regions of North China. Accurate fog forecasting remains challenging due to limited understanding of the predictability and mechanism of fog formation associated with synoptic-scale circulation. One frequent synoptic pattern of fog formation in this area is associated with cold front passage(cold-front synoptic pattern, CFSP). This paper explored the predictability of a typical CFSP fog event from the perspective of analyzing key characteristics of synoptic-scale circulation determining fog forecasting performance and the possible mechanism. The event was ensemble forecasted with the Weather Research and Forecasting model. Two groups of ensemble members with good and bad forecasting performance were selected and composited. Results showed that the predictability of this case was largely determined by the simulated strengths of the cold-front circulation(i.e., trough and ridge and the associated surface high). The bad-performing members tended to have a weaker ridge behind a stronger trough, and associated higher pressure over land and a weaker surface high over the sea, leading to an adverse impact on strength and direction of steering flows that inhibit warm moist advection and enhance cold dry advection transported to the focus region. Associated with this cold dry advection, adverse synoptic conditions of stratification and moisture for fog formation were produced, consequently causing failure of fog forecasting in the focus region. This study highlights the importance of accurate synoptic-scale information for improved CFSP fog forecasting, and enhances understanding of fog predictability from perspective of synoptic-scale circulation.