海水工厂化养殖大菱鲆(Scophthalmus maximus)和褐牙鲆(Paralichthys olivaceus)腹水病病原菌的分离与鉴定

从患腹水病大菱鲆和褐牙鲆成鱼体内分离到两株致病作用强的病原菌FS1和FS2,经人工感染实验表明菌株FS1和菌株FS2为腹水症的致病菌。采用常规的生理生化鉴定方法及梅里埃全自动微生物分析系统(VITEK32),结合分子生物学方法进行病原菌的鉴定。结果表明,菌株FS1和菌株FS2分别为迟缓爱德华氏菌(Edwardsiellatarda)和溶藻弧菌(Vibrioalginolyticus)。菌株FS116SrRNA基因序列与迟缓爱德华氏菌的同源性达99%;菌株FS2的16SrRNA基因序列与溶藻弧菌、哈维氏弧菌、副溶血弧菌等的同源性均达99%。为最终确定菌株FS2的分类地位,测定了其HSP60基因序列,进行网上同源性比对。分析结果表明,菌株FS2与溶藻弧菌的同源性达99%,而与其他弧菌HSP60基因的同源性均低于91%。这两种致病菌混合感染或分别感染均可造成养殖鲆鱼腹水病。     

中国对虾中一种与肝胰腺细小病毒混合感染的呼肠孤病毒的初步鉴定

于１９９１年９月在青岛市沙子口镇对虾养殖场采集中国对虾病虾，采用酒石酸钾－甘油密度梯度离心法从病虾肝胰腺中分离出一种呼肠孤科病毒，并通过电子显微镜观察和提取分析病毒基因组核酸等方法初步鉴定，结果显示，该病毒在酒石酸钾－甘油密度梯度离心纯化时与肝胰腺细小病毒混合存在，病毒颗粒为有包膜的正二十面体立体对称结构；带包膜的完整颗粒直径在６４－６６ｎｍ；裸露核衣壳平均直径为５３．２ｎｍ，病毒基因组由分成１０     

A new compsocid booklouse from the Cretaceous amber of Myanmar (Psocodea: Troctomorpha: Amphientometae: Compsocidae)

Paraelectrentomopsis chenyangcaii gen. et sp. nov. from the Cretaceous Burmese amber is characterized, described, illustrated and its position is discussed. This fossil taxon is the second compsocid barklouce to be described from the Burmese amber and constitute one of the earliest records of the family. A checklist of known Compsocidae is given. Identification keys of all known Compsocidae are provided. A palaeobiogeography scenario is proposed.     

MODIS数据水体识别指数的识别效果比较分析

在光谱分析的基础上,应用不同水体指数对MODIS数据进行水体信息识别,并对其应用性能进行比较分析。结果表明,混合水 体指数（CIWI）是较理想的水体识别指数。若以反射率计算,并以0为判别阈值,则该指数的提取常数C的最佳取值为-0.85。 就目前的研究成果来看,MODIS数据还不太适合用于小型水体的识别。     

利用台阵方法对明灯1号50吨爆破微弱信号的识别与处理

针对海拉尔台阵记录的明灯1号50吨爆破,利用台阵技术对该爆破进行了微弱信号识别处理、台阵定位、速度谱分析等研究。 结果表明,聚束处理明显增加了信噪比,清晰地显出本来微弱的信号。 利用f-k分析进行的定位结果表明,该爆破的主要能量集中在1~8 Hz。 速度谱分析给出了明确的震相位置,使原本不可能看到的信号清晰地表现出来,而聚束功率分析在方位角－慢度域给出了与理论值相近的能量分布。     

模拟水氡异常判别

阐述了模拟水氡测值的影响因素,并以福州乌鸦嘴泉点为例阐述了模拟水氡异常的判识方法,为模拟水氡的异常判识提供了实例。对模拟水氡异常进行判别,充分了解水点的基本情况及所有影响因素,并了解这些影响因素对水氡的影响规律,在此基础上对干扰因素加以排除,同时用同一水点其他测项的同步变化特征来佐证该异常不是观测过程中人为及仪器因素造成的,最后进行区域背景场对比分析,再用同一区域其他水点同测项测值的同步变化情况加以佐证,以判断是否是该区域应力场所致。分析结果表明,乌鸦嘴泉出现水氡年动态畸变异常的成因在很大程度上可能是区域应力场发生变化所致。     

DNA based association and description of the larval stage of Drusus melanchaetes McLachlan, 1876 (Trichoptera: Limnephilidae: Drusinae) with notes on ecology and zoogeography

At three alpine locations in Switzerland adults of Drusus melanchaetes and unknown Drusinae larvae which could not be identified with existing keys were sampled. Based on DNA association with adults, we identified the unknown larvae as D. melanchaetes. To further support the association of specimens a phylogeny was estimated with the putative closest relatives of D. melanchaetes – D. monticola and D. nigrescens – and five other species of Drusus (D. chrysotus, destitutus, discolor, muelleri and romanicus). A highly supported monophyletic clade groups unknown larvae and D. melanchaetes specimens from the central Alps and Austria (Vorarlberg), confirming the association.Based on morphology, larvae of D. melanchaetes key out together with D. destitutus in existing keys. D. melanchaetes is separated from the latter species by the shape of the lateral head profile which is almost straight and shows a small step at the height of the antenna, whereas in D. destitutus the lateral head profile is evenly rounded. In addition, in frontal view, the shape of the lateral head outline is straight in D. melanchaetes and rounded in D. destititus. There are also differences in the shape of the pronotum and in the number of the posterodorsal setae at the eighth abdominal dorsum.     

测氡仪器工作状态选取浅析

在仪器标定检查工作中,常常会涉及到工作状态的选取问题。工作状态选取是否合适,将直接影响着观测数据的准确性。本文仅介绍笔者在工作中遇到的几种异常情况及通过实验识别仪器正常与否的方法。笔者深感在台站仪器老化日异严重的今天,认真识别仪器性能是否正常的重要性。     

海岸新增自然岸线典型类型认定标准研究

海岸带地区自然岸线具有极其重要的资源价值和独特的生态价值。一些海岸的人工岸线经过整治修复或长时间的海陆相互作用，逐渐恢复了自然海岸的形态和功能。此类岸线本该被认定为新增自然岸线并严格管控，然而长期以来新增自然岸线的认定并无技术规范或标准，致使其游离于监管边缘且仍按照普通类型人工岸线的要求进行管理，一定程度上制约了海岸线的严格保护和有序利用。文章将新增自然岸线分为两类，即人工岸线整治修复成自然岸线和人工岸线自然恢复成自然岸线，并给出了典型岸线类型的认定标准。同时，提出新增自然岸线的管理要求，为推动构建科学合理的自然岸线格局提供了重要技术支撑。     

Automated detection of slum area change in Hyderabad,India using multitemporal satellite imagery

This paper presents an approach to automated identification of slum area change patterns in Hyderabad, India, using multi-year and multi-sensor very high resolution satellite imagery. It relies upon a lacunarity-based slum detection algorithm, combined with Canny- and LSD-based imagery pre-processing routines. This method outputs plausible and spatially explicit slum locations for the whole urban agglomeration of Hyderabad in years 2003 and 2010. The results indicate a considerable growth of area occupied by slums between these years and allow identification of trends in slum development in this urban agglomeration.