不同空间尺度的山洪灾害风险评价模型对比研究

以山洪灾害风险评价的多准则决策模型、最大熵模型、信息量模型三种常见模型为研究对象,选取河西走廊和张掖市为地理区划（大中）、市域（小）空间尺度研究区,构建山洪灾害风险评价指标体系,分别完成基于三种模型的两种空间尺度的山洪灾害风险评价制图,基于甘肃省地质灾害调查与区划报告数据从模型验证、空间自相关、精度对比和尺度效应等角度对比分析三个模型应用于不同空间尺度的适应性,并给出优选模型。结果表明：最大熵模型是河西走廊（地理区划）空间尺度上山洪灾害风险评价的优选模型;多准则决策模型不适用于张掖市（市域）空间尺度评价,且三个模型运行结果均没有河西走廊（地理区划）空间尺度上表现良好;三个模型的尺度效应明显,在地理区划空间尺度上应用较良好,缩小至市域空间尺度上模拟结果误差增大;不同空间尺度上,最大熵模型均优于多准则决策模型和信息量模型,适用于地理区划（大中）、市域（小）空间尺度的山洪灾害风险评价。     

河流弧菌(Vibrio fluvialis)对大黄鱼( Pseudosciaena crocea ) 鳃粘液粘附特性研究

采用间接ELISA法(最低检测值约104cfu)研究不同培养条件、不同培养阶段、抗体处理、营养饥饿等对河流弧菌粘附作用的影响。结果表明,经TSB培养的菌体的粘附作用极显著强于TSA培养的菌体的粘附作用(P<0.01);河流弧菌能很好地粘附于大黄鱼粘液,粘附量随菌浓度升高而增大并符合饱和粘附动力学:y=0.1782ln(x)1.6923(R2=0.9810);不同生长阶段河流弧菌的粘附能力不同,在培养初期阶段细菌的粘附量先是随着培养时间的延长而增大,并在培养24h后粘附量达到最大,而后随着培养时间的延长其粘附量急剧下降;抗体处理后河流弧菌的粘附量显著低于对照组(P<0.05);营养饥饿菌体的粘附量明显降低。以上结果表明:海水中的河流弧菌能很好地粘附于大黄鱼鳃粘液,其粘附作用受细菌培养条件、营养状况等自身因素的显著影响。本研究结果有助于了解河流弧菌的流行病学和致病机理。     

渤海海峡跨海通道区浅地层结构探测

在对2012年渤海海峡跨海通道区实测浅地层剖面资料进行地质解释的基础上,通过将浅地层剖面与钻孔地层岩性划分进行对比,标定了标准反射界面,通过对浅地层剖面各反射波组、内部反射结构的追踪、对比分析以及测线间的闭合检查,划分出5个主要反射界面和4个声学地层单元,揭示了各地层单元的分布特征。对拟建跨海通道路线选区典型探测剖面进行了系统的分析、讨论。     

开鲁盆地奈曼凹陷北部地区下白垩统地层剥蚀量恢复及其对油气藏的影响

恢复地层剥蚀厚度是研究盆地演化史和进行油气资源评价的重要基础工作。奈曼凹陷作为开鲁盆地中一个重要的沉积凹陷,整体勘探程度不高。本文运用地震地层厚度趋势法辅之以构造沉积综合法恢复了奈曼凹陷北部地区下白垩统九佛堂组上段和下段的古地层厚度及地层剥蚀量分布范围;同时结合奈曼地区构造演化特征和沉积相特征确定了奈曼凹陷北部地区的沉降中心位于奈10井区域,明确了九佛堂组时期原始沉积相展布特征。在物源供给方面,北部物源受搬运距离远及剥蚀难以存留的影响未能沉积,主要来自于西部陡坡带发育的扇三角洲相沉积及东部缓坡带发育的辫状河三角洲相沉积。此外,研究还发现奈曼凹陷北部地区下白垩统古地层厚度地质模型特征为北东向受抬升剥蚀最严重,剥蚀范围广,剥蚀厚度大。此次研究对于揭示该区域的构造演化历史及油气成藏过程有一定的参考价值。同时,本次研究方法的应用对于类似沉积盆地的剥蚀量恢复研究也具有借鉴意义。

     

Silicon limitation on primary production and its destiny in Jiaozhou Bay, China——Ⅳ：Study on cross-bay transect from estuary to ocean

The authors analyzed the data collected in the Ecological Station Jiaozhou Bay from May 1991 to November 1994, including 12 seasonal investigations, to determine the characteristics, dynamic cycles and variation trends of the silicate in the bay. The results indicated that the rivers around Jiaozhou Bay provided abundant supply of silicate to the bay. The silicate concentration there depended on river flow variation. The horizontal variation of silicate concentration on the transect showed that the silicate concentration decreased with distance from shorelines. The vertical variation of it showed that silicate sank and deposited on the sea bottom by phytoplankton uptake and death, and zooplankton excretion. In this way, silicon would endlessly be transferred from terrestrial sources to the sea bottom. The silicon took up by phytoplankton and by other biogeochemical processes led to insufficient silicon supply for phytoplankton growth. In this paper, a 2D dynamic model of river flow versus silicate concentration was established by which silicate concentrations of 0.028–0.062 μmol/L in seawater was yielded by inputting certain seasonal unit river flows (m³/s), or in other words, the silicate supply rate; and when the unit river flow was set to zero, meaning no river input, the silicate concentrations were between 0.05–0.69 μmol/L in the bay. In terms of the silicate supply rate, Jiaozhou Bay was divided into three parts. The division shows a given river flow could generate several different silicon levels in corresponding regions, so as to the silicon-limitation levels to the phytoplankton in these regions. Another dynamic model of river flow versus primary production was set up by which the phytoplankton primary production of 5.21–15.55 (mgC/m²·d)/(m³/s) were obtained in our case at unit river flow values via silicate concentration or primary production conversion rate. Similarly, the values of primary production of 121.98–195.33 (mgC/m²·d) were achieved at zero unit river flow condition. A primary production conversion rate reflects the sensitivity to silicon depletion so as to different phytoplankton primary production and silicon requirements by different phytoplankton assemblages in different marine areas. In addition, the authors differentiated two equations (Eqs. 1 and 2) in the models to obtain the river flow variation that determines the silicate concentration variation, and in turn, the variation of primary production. These results proved further that nutrient silicon is a limiting factor for phytoplankton growth. This study was funded by NSFC (No. 40036010), and the Director's Fund of the Beihai Sea Monitoring Center, the State Oceanic Administration.     

Preliminary Study on Applicability of Microsatellite DNA Primers from Parasite Protozoa Trypanosoma cruzi in Free-living Protozoa

1　Introduction　Generallyknownasacodominantgeneticmarker ,microsatellitehasbeenwidelyusedinstudiesonpopu lationgenetics,high resolutiongenotyping ,genemap ping ,evolution ,linkageanalysis ,conservationbiology ,behaviouralecology ,relationsbetweenparasite…     

MARINE HAZARDS IN COASTAL AREAS AND HUMAN ACTION AGAINST THEM-A CASE STUDY OF THE CHANGJIANG RIVER ESTUARIES AND QIANTANG RIVER

INTRODUCTIONMarinehedsresultinginenomouslossestousuallyPOpulousandeconondcallyde-veloPedlowandcoastalandestUdrineregi0nsareforngseriousattenti0n.msarticlediscussesP0ssiblepreventivemeasaresagainstInariflehazaIdsbasedonacasestUdyoftheestUedesoftheChanaiiangffiverandQiantanffiver-ThesetwoareasoftheChanaiiangDeltaareboicalofc0astalregionsfreqUenilysufferingfromdrinehazanls,andarethemostsociallyandeconondcallydeveloPedregionsinChina.Theirinhabitantshaveahist0-ryofmorethanathouSandyeare0…     

基于国产高分遥感的人工种植红树林种间分类方法研究——以广西茅尾海红树林为例

红树林的种间结构组成对红树林生态系统的健康和发展至关重要,而红树林种间分类问题一直以来都是基于遥感手段的红树林监测中的难点。针对该问题,以人工种植为特点的广西茅尾海红树林遥感种间分类为例,基于面向对象的分类思想,提出了一种现场样本与分割对象相结合的红树林种间分类方法。利用GF-2 PMS1高分辨率卫星遥感影像数据,开展了广西茅尾海红树林湿地典型植被精细分类和空间分布研究,并将分类结果与基于像素和传统面向对象SVM分类方法进行了对比。结果显示:总体上,面向对象分类方法更适合用于茅尾海红树林湿地典型植被分类;对于局部混生明显的区域使用基于像素SVM分类方法效果会更好;传统面向对象分类方法中将整个影像分割对象单元作为训练样本可能会在某种程度上造成负面影响。因此,使用文中提出的样本选择新方法进行面向对象分类精度最高,总体精度达到了93.13%,Kappa为0.89。     

水源林区人工湿地污水处理技术的应用示范

针对水源林区的污水处理和循环利用等问题,设计了水平潜流人工湿地+垂直流人工湿地污水处理工艺,该工艺依靠重力作为动力,无需能耗,管理简单,污水处理效果较好,抗冲力负荷能力较强。运行结果表明,工艺出水主要指标达到了《地表水环境质量标准》(GB3838-2002)规定的I类水质标准。