渤海湾表层沉积物重金属与污染评价

用原子吸收法测定了渤海湾表层沉积物中重金属的含量,同时用2种评价方法对该海域底质环境进行了评价。结果表明:沉积物中汞、锌含量平均值超过标准,其余项目未发现超标;其分布特征由于受沿岸不同污染源的污染影响,重金属污染物难以形成一定规律的分布状态。同时该海域底质环境质量总指数已达到污染程度和很强的生态危害,其中主要污染元素是Hg,已达重污染,并形成极强的生态危害。     

三丁基锡对褐菖鲉(Sebastiscus marmoratus)体内苯并(α)芘代谢的影响

在水生毒理学研究中,污染物与污染物之间的相互作用是一个重要的课题.苯并(α)芘[benzo(α)pyrene,BaP]是一种具有致癌性的多环芳烃(poly-cyclic aromatic hydrocarbon,PAH),而三丁基锡(tributyl tin,TBT)则是用于防污涂料的具有很强毒性的有机金属.许多化学物进入生物体内后的转化分为两个阶段.在Ⅰ相反应阶段,亲脂性底物被氧化代谢形成各种中间代谢物,这些中间代谢物具有很高的生物活性,容易对生物体产生毒性.     

Modeling of the eddy viscosity by breaking waves

Breaking wave induced nearsurface turbulence has important consequences for many physical and biochemical processes including water column and nutrients mixing,heat and gases exchange across air-sea interface.The energy loss from wave breaking and the bubble plume penetration depth are estimated.As a consequence,the vertical distribution of the turbulent kinetic energy(TKE),the TKE dissipation rate and the eddy viscosity induced by wave breaking are also provided.It is indicated that model results are found to be consistent with the observational evidence that most TKE generated by wave breaking is lost within a depth of a few meters near the sea surface.High turbulence level with intensities of eddy viscosity induced by breaking is nearly four orders larger than υwl(=κuwz),the value predicted for the wall layer scaling close to the surface,where uw is the friction velocity in water,κ with 0.4 is the von Kármán constant,and z is the water depth,and the strength of the eddy viscosity depends both on wind speed and sea state,and decays rapidly through the depth.This leads to the conclusion that the breaking wave induced vertical mixing is mainly limited to the near surface layer,well above the classical values expected from the similarity theory.Deeper down,however,the effects of wave breaking on the vertical mixing become less important.     

南沙海区中生界岩相分布及构造特征

为了了解南中国海南部南沙群岛陆架-陆坡区中生代地层发育情况,作者通过综合分析该海区钻井、拖网及1987年以来采集的20000多公里的多道反射地震勘探等资料,得到了对该区中生界基本特征的如下新认识:空间分布上,南沙的中生界具有从北部的郑和-礼乐隆起南缘向南增厚的趋势;沉积岩相方面,东部三叠纪时为深海相,侏罗纪为浅海与三角洲相,白垩纪为浅海-内浅海相,而往西南部中生代的海水深度有变深的趋势;中-新生代变形上,在南沙西部的曾母盆地,中生界褶皱为复式的、非协调性的,南沙中部多为舒缓褶皱,东部仅在近巴拉望海槽地带出现小幅度的褶皱。结合围区中生界及特提斯构造域的发育特征,作者提出南沙地块上的海相中生界在大地构造上归属于残留在中特提斯洋北部减薄陆缘地壳上的中特提斯期海相沉积地层,是该海域油气资源勘探不可忽视的对象。     

长江-淮河流域短时暴雨洪涝灾害危险性预警评估及验证

洪涝灾害危险性预警分析是防灾减灾的重要基础,在灾害发生前进行预警,可以有效减轻灾害带来的影响。本文以2020年6—8月长江-淮河流域洪涝灾害为研究案例,首次利用前3天累计降水量(前期状态),当前时次土壤湿度(当前状态)和预测日降水量(未来状态)作为致灾因子,基于改进的层次分析法建立危险性预警分析模型。通过县域灾情信息验证表明,评估正确率达74.46%,遗漏率仅5.59%,评估结果与实际灾情吻合性好;同时对预警准确性和时相一致性进行评价,最大值(县内最高指数)的预警率达到81.6%;“特大型”暴雨洪涝灾害中的预警达到77.3%以上,且灾害在前3~5天危险性指数普遍提升,存在有效预警。本文方法对于长江—淮河流域短时暴雨洪涝灾害危险性预警有较好的准确性和可靠性,可提供防灾减灾决策依据。     

海南岛4—9月短时强降水的天气型和环境参数特征

利用海南岛加密自动站逐小时降水资料、ERA5再分析资料,对海南岛短时强降水日环流配置进行了天气学分型,并进一步探讨了各天气型下海南岛短时强降水的时空分布、环流形势和关键环境参数特征。结果表明：(1)海南岛短时强降水有明显的日变化特征,呈单峰型,主要出现在15:00—19:00。(2)海南岛短时强降水的天气型主要有南海低压槽、华南沿海槽、西南低压槽和冷锋型。(3)南海低压槽、华南沿海槽、西南低压槽和冷锋型短时强降水分别占37%,31%,16%和16%。南海低压槽和华南沿海槽型主要出现在7、8和9月;西南低压槽型除9月外,其余各月份均可能出现;冷锋型绝大多数出现在4、5月。(4)南海低压槽和华南沿海槽型整层湿度条件都较好,不稳定能量较大,垂直风切变较弱。西南低压槽型不稳定能量较大,湿度条件一般,垂直风切变较弱。冷锋型存在明显的上干下湿特征,垂直风切变最大,0～6 km风速差75%分位大于10 m/s,不稳定能量最小。     

上海青浦CINRAD/SAD雷达和南汇WSR-88D雷达数据对比分析

上海青浦CINRAD/SAD雷达和南汇WSR 88D雷达型号不同,并且采用不同的双偏振技术升级方案,实际业务运行中2部雷达存在一定的数据偏差。为了对雷达的探测性能进行定量评估,在共同探测区域遴选2022年7—9月及2023年6月共30个过程3933个时次数据,以稳定性降水与对流性降水分类并按强度分级进行对比,评估了反射率因子ZH,差分反射率ZDR,相关系数CC和差分传播相移ΦDP的水平分布特征及随方位变化趋势,雷达灵敏度随仰角变化趋势以及ZH和ZDR偏差的定量统计。结果表明：2部雷达ZH的观测结果接近,青浦CINRAD/SAD雷达的ZH,CC和ΦDP受地物及避雷针影响较大,随方位变化不稳定,青浦CINRAD/SAD雷达在低层的非气象回波滤除效果较南汇WSR 88D雷达差。2部雷达ZH和ZDR的偏差在ZH大于40 dBz的区域较大,ZH平均偏差为0.9 dB,ZDR为-0.14 dB。本文基于台风、冰雹、短时强降水和梅雨降水数据,定量化评估了上海2部S波段双偏振天气雷达数据之间的差异,为后续算法改进以及数据订正提供参考。     

Using otolith weight to predict the age of <Emphasis Type="Italic">Pennahia macrocephalus</Emphasis> in the mouth of the Beibu Gulf

The relation between otolith weight (OW) and the age of marine fish is studied. A total of 222 individuals of bighead white croaker, Pennahia macrocephalus were sampled seasonally in the mouth of the Beibu Gulf, the South China Sea, in 2007. Since there are no significant differences in sagittal OW between otolith in pairs (P≥0.05), the undamaged left sagittal otolith is used for age determination. The highest correlations among standard length, OW and fish ages are confirmed by linear, exponential and multinomial regression. Results show that sagittal OW overlaps only occasionally among age groups, and to individuals with similar standard length, the older and slower-growing fish has a heavier otolith because of the continued otolith material deposition. There are differences in sagittal OW among different age groups and significant positive linear relationship with age (P<0.05). The age readings can be verified by plotting the sagittal OW versus the standard length for age groups, and the individuals with similar standard length but in different ages can be separated by sagittal OW frequency analysis. Mostly, the predicted ages using the regression between sagittal OW and ages are closed to the observed ages by counting annulus on scale. It indicates that the sagittal OW analysis is a useful technique for validating the accuracy of age determination by annuli counts, especially for individuals of similar size. Furthermore, the technique is applied for Pennahia macrocephalus with discussion in this paper. Supported by the National Natural Science Foundation of China (No. 30771653) and Bureau of Fisheries, Ministry of Agriculture     

Surface sediment diatoms from the western Pacific marginal seas and their correlation to environmental variables

Diatom data of 192 surface sediment samples from the marginal seas in the western Pacific together with modern summer and winter sea surface temperature and salinity data were analyzed.The results of canonical correspondence analysis show that summer sea-surface salinity(SSS) is highly positively correlated with winter SSS and so is summer sea-surface temperature(SST) with winter SST.The correlations between SSSs and SSTs are less positively correlated,which may be due to interactions of regional current pa...     

Impacts of soil fauna on litter decomposition at different succession stages of wetland in Sanjiang Plain, China

Litter decomposition is the key process in nutrient recycling and energy flow. The present study examined the impacts of soil fauna on decomposition rates and nutrient fluxes at three succession stages of wetland in the Sanjiang Plain, China using different mesh litterbags. The results show that in each succession stage of wetland, soil fauna can obviously increase litter decomposition rates. The average contribution of whole soil fauna to litter mass loss was 35.35%. The more complex the soil fauna group, the more significant the role of soil fauna. The average loss of three types of litter in the 4mm mesh litterbags was 0.3–4.1 times that in 0.058mm ones. The decomposition function of soil fauna to litter mass changed with the wetland succession. The average contribution of soil fauna to litter loss firstly decreased from 34.96% (Carex lasiocapa) to 32.94% (Carex meyeriana), then increased to 38.16% (Calamagrostics angustifolia). The contributions of soil fauna to litter decomposition rates vary according to the litter substrata, soil fauna communities and seasons. Significant effects were respectively found in August and July on C. angustifolia and C. lasiocapa, while in June and August on C. meyeriana. Total carbon (TC), total nitrogen (TN) and total phosphorus (TP) contents and the C/N and C/P ratios of decaying litter can be influenced by soil fauna. At different wetland succession stages, the effects of soil fauna on nutrient elements also differ greatly, which shows the significant difference of influencing element types and degrees. Soil fauna communities strongly influenced the TC and TP concentrations of C. meyeriana litter, and TP content of C. lasiocapa. Our results indicate that soil fauna have important effects on litter decomposition and this influence will vary with the wetland succession and seasonal variation. Foundation item: Under the auspices of State Key Development Program for Basic Research of China (No. 2009CB421103), Key Program of National Natural Science Foundation of China (No. 40830535/D0101), Knowledge Innovation Programs of Chinese Academy of Sciences (No. KZCX2-YW-BR-16, KSCX2-YW-N-46-06)