潍坊北部海咸水入侵特征及现状评价

潍坊北部是我国典型的海咸水入侵区,通过资料收集、海咸水入侵专项调查、地质环境监测与实验、样品分析测试和室内综合分析研究,基本查清了海咸水入侵发展及演化历史。工作区海咸水入侵发展过程可划分为发生和发展、快速发展、慢速发展和稳定发展4个阶段,目前处于稳定发展期。利用2012年水质测试结果,选取Cl-、矿化度、SO2-4,rHCO-3/rCl-,K+等指标作为评价因子,运用模糊数学的方法,对潍坊北部海(咸)水入侵区入侵程度的现状做出综合评价;结合工作区海咸水入侵的特征和现状,针对性地提出了今后的防治重点和对策。     

A Recent Full-Depth Survey of the Alaskan Stream

We examine results from a cruise in May 1997. CTD casts to near the bottom were made south of the Aleutian Islands, across Amchitka Pass, and north of the islands. We computed a westward geostrophic speed of 123 cm s^–1 at 173.5°W in the Alaskan Stream. The computed volume transport there, referred to the bottom, was 25×10⁶m³s^–1. On other similar sections, transports were 8–15 × 10⁶ m³s^–1. Various complex variations in geopotential height along the Stream apparently altered the cross-stream gradients, and hence the transports. Rotational tendencies were also present. Northward inflow through Amchitka Pass was quite strong (6 × 10⁶ m³s^–1). Data north of the islands supported the existence of a zero-velocity reference level of variable depth.     

额济纳绿洲主要植物的水势与环境因子的关系

通过对额济纳绿洲几种植物的水势分析,结果表明,水势从小到大排序为:红砂 < 柽柳、苏枸杞、苦豆子 < 胡杨、梭梭、骆驼蓬 < 花花柴 < 沙拐枣。胡杨和柽柳水势日变化在5月和7月大体呈"V"型;9月份日变化大体呈直线型。不同植物对环境条件反应不同,乔木、灌木的水势与深层土壤中含水量密切相关,而草本对较浅层的土壤含水量相关。阔叶植物对大气中的水分相关性更强。植物水势与大气温度相关性最差。     

The bivalve Lembulus bicuspidatus may enhance denitrification in shelf sediment at the Angola–Benguela Frontal Zone

We collected living individuals of the bivalve Lembulus bicuspidatus, which shows an unusual preference for the oxygen-deficient habitat found at the Angola–Benguela Frontal Zone of the southeastern Atlantic. With a series of incubation experiments with ¹⁵N-labelled nitrate as a tracer in combination with membrane-inlet mass spectrometry, we studied the potential contribution of L. bicuspidatus to nitrate reduction in the upper sediment layer. Our preliminary results suggest that L. bicuspidatus enhances nitrate reduction if the oxygen concentration is sufficiently low. The Lembulus-mediated nitrate reduction rate is then similar to the rate of microbial nitrate reduction in the surrounding sediment.     

Determination of phospholipid fatty acid structures and stable carbon isotope compositions of deep-sea sediments of the Northwest Pacific, ODP site 1179

Sediment samples ranging from 0.05 to 278 m below sea floor (mbsf) at a Northwest Pacific deep-water (5564 mbsl) site (ODP Leg 191, Site 1179) were analyzed for phospholipid fatty acids (PLFAs). Total PLFA concentrations decreased by a factor of three over the first meter of sediment and then decreased at a slower rate to approximately 30 mbsf. The sharp decrease over the first meter corresponds to the depth of nitrate and Mn(IV) reduction as indicated by pore water chemistry. PLFA-based cell numbers at site 1179 had a similar depth profile as that for Acridine orange direct cell counts previously made on ODP site 1149 sediments which have a similar water depth and lithology. The mole percentage of straight chain saturated PLFAs increases with depth, with a large shift between the 0.95 and 3.95 mbsf samples. PLFA stable carbon isotope ratios were determined for sediments from 0.05 to 4.53 mbsf and showed a general trend toward more depleted δ¹³C values with depth. Both of these observations may indicate a shift in the bacterial community with depth across the different redox zones inferred from pore water chemistry data. The PLFA 10me16:0, which has been attributed to the bacterial genera Desulfobacter in many marine sediments, showed the greatest isotopic depletion, decreasing from − 20 to − 35‰ over the first meter of sediment. Pore water chemistry suggested that sulfate reduction was absent or minimal over this same sediment interval. However, 10me16:0 has been shown to be produced by recently discovered anaerobic ammonium oxidizing (anammox) bacteria which are known chemoautotrophs. The increasing depletion in δ¹³C of 10me16:0 with the unusually lower concentration of ammonium and linear decrease of nitrate concentration is consistent with a scenario of anammox bacteria mediating the oxidation of ammonium via nitrite, an intermediate of nitrate reduction.     

塔里木河流域水资源分析系统开发研究

根据水资源评价工作的基本任务和实际需求,充分利用计算机及地理信息系统技术,研究和探讨了塔里木河流域水资源分析系统(T-WRAS)的功能、结构、数据组织及其实现关键技术。同时介绍了降水量—高程量化模型(PEM)、自调节水量模拟模型(SRWQ)、基于“发展综合指标测度”的协调程度量化方法(DD)等一些模型和方法。该系统可对三源流汇流过程进行分析,对研究区进行数量、质量、开发利用及综合评价,评价结果以图、文、表等多种形式表达。系统的框架、建设思路及相关模型的研究有一定的理论和现实意义。     

盐度对近江牡蛎耗氧率、排氨率、O:N 和吸收率的影响

以半现场流水槽法研究了不同盐度(5、10、15、20、25、30、35)对近江牡蛎(Crassostrea hongkongensis)耗氧率、排氨率、O:N、吸收率的影响,并测定了盐度为20条件下牡蛎耗氧率和排氨率的周日变化.结果表明,近江牡蛎耗氧率、排氨率、O:N先随着盐度的升高而下降,在20左右降到最低,随着盐度继续上升,又升高;而近江牡蛎的吸收率先随着盐度的升高而升高,在20左右达到最高,然后随盐度升高而下降.根据数据得出耗氧率与盐度的拟合方程: y=0.0033x2-0.1161x+1.5523, R2=0.9018;排氨率与盐度:y=0.0001x2-0.0041x+0.0871, R2=0.9889;O:N与盐度:y=0.0016x3-0.0782x2+0.9051x+10.818, R2=0.955;吸收率与盐度: y=-0.0011x2+0.0399x+0.4393.R2=0.9453.一日内,8时、14时、19时、22时4个时间点,近江牡蛎耗氧率和排氨率变化较大,在14时最大,表明该时点其代谢活动最强.     

静压法施工预应力混凝土管桩的质量管理

预应力混凝土管桩采用静压法施工越来越普遍,其施工质量问题也倍受关注,现对其质量管理问题作本文谈论。     

Long-Term Investigation of Spatio-Temporal Variations in Faunal Composition and Species Richness of Megabenthos in Ise Bay,Central Japan

Based on our long-term data from megabenthos sampling from 1993 to 2002 in Ise Bay, central Japan, we examined spatio-temporal variations in taxon composition, species richness and its distribution of megabenthos in the bay in relation to the occurrence of the oxygen-poor water (i.e. oxygen content less than 3 ppm) in bottom waters of the bay. A total of 261 species were identified including 6 cnidarians, 1 tentaculate, 5 annelids, 71 molluscs, 72 crustaceans, 16 echinoderms, 12 urochordates and 78 pisces. Of the most abundant 10 megabenthos species, the following 4 species of echinoderms made up more than the half of megabenthos biomass: Luidia quinaria, Echinocardium cordatum, Asterias amurensis and Astropecten scoparius. Species richness of megabenthos varied significantly between seasons and among stations. The severity and period of occurrence of the oxygen-poor water developing every summer play an important role in determining spatial distributions of species richness in the bay.     

属性识别模型在艾比湖水质评价中的应用

根据新疆博尔塔拉蒙古自治州环境监测站对艾比湖5个代表性的监测断面最近5年的水质实测资料,结合熵权法和国家地表水环境质量标准系统地建立了属性识别模型,运用属性计算和属性得分详细评价了艾比湖的水质.模型评价结果表明:艾比湖的水质污染主要为氨氮、磷、砷的污染.就空间而言,湖心2水质较好,没有出现V类水质,其次为喇叭口,博乐河口与精河河口水质较差;就时间而言,2003年各监测断面水质均属I类,之后逐渐恶化,到2008年半数以上的监测断面属于V类水质,且与改进密切值法的评价结果比较,结果较吻合.采用属性识别模型评价湖泊水质,概念清晰,计算简单,评价结果客观、合理,可以反映出艾比湖水质的现状,是湖泊水质评价中简便实用的评价方法之一.