Geochronology of Pliocene volcanism in the Dzhavakheti Highland (the Lesser Caucasus). Part 1: Western part of the Dzhavakheti Highland

Isotopic-geochronological study of the Pliocene magmatic activity in western part of the Dzhavakheti Highland (northwestern region of the Lesser Caucasus) is carried out. The results obtained imply that the Pliocene magmatic activity lasted in this part of the highland approximately 2 million years from 3.75 to 1.75–1.55 Ma. As is established, the studied volcanic rocks correspond in composition mostly to K-Na subalkaline and more abundant normal basalts. Time constraints of main phases in development of basic volcanism within the study region are figured out. We assume that individual pulses of silicic to moderately silicic volcanism presumably took place in the Dzhavakheti Highland about 3.2 and 2.5 Ma ago.     

基于主成分分析的东江流域水资源承载能力评价

本文分别介绍了主成分分析法的原理和算法,并将其运用到东江流域水资源承载能力评价中,并且与模糊综合评价结果进行比较。结果表明：两评价方法的评价结果都是东江流域水资源承载能力呈现中上游高下游低的分布趋势,对此提出水资源可持续利用的对策,以促进流域水资源与社会经济的协调发展。     

Tetraploid induced by physical and chemical methods in Jinjiang oyster(Crassostrea rivularis)

ＴｅｔｒａｐｌｏｉｄｉｎｄｕｃｅｄｂｙｐｈｙｓｉｃａｌａｎｄｃｈｅｍｉｃａｌｍｅｔｈｏｄｓｉｎＪｉｎｊｉａｎｇｏｙｓｔｅｒ（Ｃｒａｓｓｏｓｔｒｅａｒｉｖｕｌａｒｉｓ）￥ＲｏｎｇＳｈｏｕｂａｉ，ＳｈｉＳｈｕｍｅｉ，ＭｃＱｉｒｏｎｇ，ＬｉｕＳｈａｅｑｉｏ...     

福建海岛潮间带软体动物群落分布特征

福建海岛潮间带软体动物共鉴定248种，隶属于5纲78科161属，应用群落系数，等级聚类分析和极坐标排序研究软体动物落分布，结果表明，软体动物群落可分为3种类型，即河口型群落，近岸港湾群落和开阔海域群落，群落分布与海岛所处地理位置及其生境类型密切相关，盐度和水动力是重要的影响因子。     

浙江省海岛沿岸水域微生物生态分布

文章报道了浙江海岛沿岸水域中异养细菌、氨化细菌和反硝化细菌的数量分布及异养细菌的种群组成。结果表明：本调查海区异养细菌的数量较多，其数量分布范围在２．０４×１０４～８．３６×１０６个／ｄｍ３之间；氨化细菌数量分布范围在３．０×１０３～１．１×１０６个／ｄｍ３之间；反硝化细菌的数量分布范围在３．０×１０２～１．１－１０６个／ｄｍ３之间。细菌的数量与环境中营养盐的浓度之间存在密切关系。在不同的海区异养细菌的种群组成存在一定的差异，在浙北海区，革兰氏阴性菌所占比例为４１．６％，在浙中海区为４６．９％，在浙南海区为６４．９％。     

Relationships between chlorophyll a, bacteria, ATP, POC and respiration rates in the Changjiang Estuary and the plume

Bacteria abundance, chlorophyll a, ATP and POC concentrations and respiration rates of microorganisms in the Changjiang Estuary and the plume were determined in July 1986. The high values of bacteria abundance occurred in the river mouth in association with suspended matter. It is assumed that bacteria were the major contributor to ATP and the main consumer of dissolved oxygen, and that the relationship between ATP and POC was present in that area. In the dilution zone (salinity; 25-30), instead of bacteria, phytoplankton was the major contributor to ATP and respiration rates, due to diatom bloom. Close relationships between Chi a and ATP, and ATP and POC were observed. Contribution of microbial carbon to POC was also estimated.     

Application of Monte-Carlo statistical experiments in design of ocean engineering——Estimating the parameters, models and probabilities

Recently, some results have been acquired with the Monte- Carlo statistical experiments in the design of ocean en gineering. The results show that Monte-Carlo statistical experiments can be widely used in estimating the parameters of wave statistical distributions, checking the probability model of the long- term wave extreme value distribution under a typhoon condition and calculating the failure probability of the ocean platforms.     

Drag Coefficient,Dynamic Roughness and Reference Wind Speed

Surface waves are the roughness element of the ocean surface. The parameterization of the drag coefficient of the ocean surface is simplified by referencing to wind speed at an elevation proportional to the characteristic wavelength. The dynamic roughness is analytically related to the drag coefficient. Under the assumption of fetch limited wave growth condition, various empirical functions of the dynamic roughness can be converted to equivalent expressions for comparison. For datasets covering a wide range of the dimensionless frequency (inverse wave age), it is important to account for the variable rate of wave development at different wave ages. As a result, the dependence of the Charnock parameter on wave age is nonmonotonic. Finally, the analysis presented here suggests that the significant wave steepness is a sensitive property of the ocean surface and a single variable normalization of the dynamic roughness using a wavelength or wave height parameter actually produces more robust functions than bi-variable normalizations using wave height and wave slope.