渤海叶绿素 a 浓度与环境因素的响应关系研究

基于 2003－2018 年的遥感反演和再分析数据, 分别在时域和频域上分析了渤海海表面温度、光合有效辐射、气溶 胶厚度、风速与叶绿素 a 浓度之间的响应关系。通过傅里叶变换在频域上得到各因素之间的相关性系数, 其显著高于直接在 时域上计算得到的相关性系数, 表明由于相位差的影响, 直接在时域进行相关性分析很可能会低估各因素之间的相关性。傅 里叶变换后的频谱图显示, 叶绿素 a 浓度存在一年、半年、4 个月与季节周期; 风速与气溶胶厚度存在明显的一年和半年周 期; 海表面温度和光合有效辐射具有明显的一年周期, 半年周期较其他几个因素不明显。交叉谱分析的结果表明： 叶绿素 a 浓度和所选的环境因子都在一年周期下具有最大的交叉振幅, 表明在此频率下响应最大; 风速、气溶胶厚度、光合有效辐射 分别超前于叶绿素 a 浓度约 5.0 个月、0.2 个月、0.2 个月, 海表面温度则滞后 1.9 个月。各环境因子之间相互关联, 共同影 响叶绿素 a 浓度的时间分布。     

高亚硝酸盐胁迫下日本囊对虾肝胰腺的转录组分析

海岸带盐度过渡区域水体中氮、磷的准确测定对陆海统筹及海岸带管理起着至关重要的作用。为探究盐度对氮、磷测定准确度的影响,进而明确河口海岸带淡水-咸水盐度过渡区不同形式氮、磷测定方法的选择依据,分别采用淡水和海水的相关国家标准方法,测定不同盐度下不同质量浓度氮、磷的人工海水和天然海水水样中氨氮、亚硝氮、总氮、活性磷酸盐和总磷的质量浓度。结果表明,盐度对某些氮、磷的淡水法和海水法测定结果有一定程度的影响。对氨氮的测定,当S≤4.0时淡水法或海水法均可准确测定水体中的氨氮,S>4.0时应对水样进行pH 调整预处理后用海水法进行测定;对亚硝氮的测定,淡水法和海水法的测定结果无明显差异;对总氮的测定,当S≤5.0时应采用操作简单、测定准确的淡水法测定,S>5.0时应采用海水法。对水体中的活性磷酸盐的测定,在低盐低磷(S≤35.0且ρPO3-4 ≤0.2mg·L-1)的情况下盐度对淡水法和海水法测定结果的影响微乎其微,而对于高盐高磷(S>35.0且ρPO3-4 > 0.2mg·L-1)的水样选择灵敏度更高的海水法测定更准确;对总磷的测定,选取海水法测定准确度更高。研究结果为海岸带水体不同形式氮、磷质量浓度的准确测定与方法选择提供了科学依据。     

Spatiotemporal variations of water use efficiency and its driving factors in Inner Mongolia from 2001 to 2020

Water use efficiency (WUE) is an important variable to explore coupled relationships in carbon and water cycles. In this study, we first compared the spatial variations of annual gross primary productivity (GPP) and evapotranspiration (ET) using four GPP and ET products. Second, we selected the products closest to the flux towers data to estimate WUE. Finally, we quantitatively analyzed the impact of climate change and soil water content on WUE. The results showed that: (1) Four GPP and ET products provided good performance, with GOSIF-GPP and FLDAS-ET exhibiting a higher correlation and the smallest errors with the flux tower data. (2) The spatial pattern of WUE is consistent with that of GPP and ET, gradually decreasing from the northeast to the southwest. Higher WUE values appeared in the northeast forest ecosystem, and lower WUE values occurred in the western Gobi Desert, with a value of 0.28 gC m^?2 mm^?1. The GPP and ET products showed an increasing trend, while WUE showed a decreasing trend (55.15%) from 2001 to 2020. (3) The spatial relationship between WUE and driving factors reveal the variations in WUE of Inner Mongolia are mainly affected by soil moisture between 0 and 10 cm (SM0-10cm), vapor pressure deficit (VPD), and precipitation, respectively. (4) In arid regions, VPD and precipitation exhibit a major influence on WUE. An increase in VPD and precipitation has a negative and positive effect on WUE, with threshold values of approximately 0.36 kPa and 426 mm, respectively. (5) In humid regions, SM0-10cm, VPD, SM10-40cm, and SM40-100cm exert a significant impact on WUE, especially SM0-10cm, and weakens with increasing soil depths, these differences may be related to physiological structure and living characteristics of vegetation types in different climate regimes. Our results emphasize the importance of VPD and soil moisture in regional variability in WUE.     

小秦岭地区金钼多金属矿成矿特征与找矿预测

小秦岭地区是中国重要的金钼矿产基地。以构造-岩浆-成矿系统为指导,综合研究认为区内金钼多金属矿床可分为印支期—燕山期与重熔型花岗岩浆侵入活动有关的金(钼)矿床成矿系列和与深源浅成型花岗岩、碱性岩有关的钼(金钨)矿床成矿系列。金(钼)矿床类型主要包括石英脉型、构造蚀变岩型、糜棱岩型、爆破角砾岩型和复合型等,以前两者为主;钼(金钨)矿床类型主要包括斑岩型、斑岩-矽卡岩型、斑岩-爆破角砾岩型、石英-碳酸岩脉型和构造蚀变岩型等,也以前两者为主。该区三叠世以来共发生过3次岩浆侵入活动,每次都伴有不同程度的钼金矿化作用,并分别对应于不同的钼金矿化高峰期。钼的成矿作用分为印支期(210~220 Ma)和燕山期早白垩世早期(140~145Ma)、早白垩世中晚期(110~138Ma);金的成矿作用分为印支期(约220Ma)和燕山期早白垩世中晚期(约130Ma);钼、金成矿在印支期和燕山期早白垩世中晚期叠合,而在燕山期早白垩世早期分离。整体上,区内岩体与断裂构造控矿特征明显,燕山期金钼成矿作用强烈发育。该区娃娃沟—峪耳沟、峪耳沟—曹家沟、太子坪—葫芦沟—荒地沟与文公岭北坡等地区为金钼多金属矿的有利找矿靶区,并应特别重视中酸性小岩体的含矿性评价。     

东秦岭华县西沟钼矿床Re-Os同位素年龄及其地质意义

东秦岭华县西沟钼矿床位于华北陆块南缘老牛山岩体与华山岩体所夹持的EW向长廊中,产出于太古界太华群黑云斜长片麻岩地层内。该矿床已经被确定为中型矿床。西沟钼矿区内构造发育,岩浆活动强烈,展布的多条长石-石英脉、碳酸盐脉型钼矿体主要受近EW向剪切带控制,矿石类型以石英脉型、长石-石英脉型、方解石-石英脉型及蚀变岩型为主。应用Re-Os同位素地质年代学方法测得西沟钼矿床的成矿模式年龄为(206.7±2.8)~(214.7±2.8)Ma,等时线年龄为(212.4±2.8)Ma,属于印支晚期;辉钼矿Re质量分数为(306.6~401.0)×10-6,暗示成矿物质主要来源于上地幔。区域成矿条件对比发现,西沟钼矿床与黄龙铺钼矿床在成矿时代、成因类型等方面具有一致性,矿床类型划归为长石-石英脉、碳酸盐脉型。依据化探异常及初步勘查结果,预测西沟地区深部可能存在有隐伏岩体,具有寻找大型钼矿床的潜力。     

舰船气泡尾流分布的BPBE表征方法研究

基于气泡群平衡方程(BPBE),提出一种用于更系统表征舰船气泡尾流变化特征的数值模型。模型的创新处在于既能反映气体传质因素的影响,又考虑了尾流中实际存在的气泡聚并现象,且具有简单易行,运算效率高的特点。分析结果表明:聚并在近尾流区作用强烈,传质在远程尾流区作用明显;聚并对BND的分布变化影响不大,对气含量的发展变化则发挥着主要作用;尺寸为70~80 um的气泡BND最大,尺寸为200 um的气泡气含量最大。     

Evaluation of the biological toxicity of fluorine in Antarctic krill

Antarctic krill is a potentially nutritious food source for humans, but fluorine(F) toxicity is a matter of concern. To evaluate the toxicity of F in Antarctic krill, 30 Wistar rats were divided into three groups with different dietary regimens: a control group, a krill treatment group(150 mg·kg-1 F), and a sodium fluoride(NaF) treatment group(150 mg·kg-1 F). After three months, F concentrations in feces, plasma, and bone were determined, and the degree of dental and skeletal fluorosis was assessed. The F concentrations in plasma and bone from the krill treatment group were 0.167 0±0.020 4 mg.L-1 and 2 709.8±301.9 mg·kg-1, respectively, compared with 0.043 8±0.005 5 mg·L-1 and 442.4±60.7 mg·kg-1, respectively, in samples from the control group. Concentrations of F in plasma and bone in the krill treatment group were higher than in the control group, but lower than in the NaF treatment group. The degree of dental fluorosis in the krill treatment group was moderate, compared with severe in the NaF treatment group and normal in the control group. The degree of skeletal fluorosis did not change significantly in any group. These results showed that the toxicity of F in Antarctic krill was lower than for an equivalent concentration of F in NaF, but it was toxic for rats consuming krill in large quantities. To conclude, we discuss possible reasons for the reduced toxicity of F in Antarctic krill. The present study provides a direct toxicological reference for the consideration of Antarctic krill for human consumption.     

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Seasonal Variations in Phytoplankton Community Structure in the Sanggou,Ailian, and Lidao Bays

The seasonal variations in phytoplankton community structure were investigated for the Sanggou Bay （SGB） and the adjacent Ailian Bay （ALB） and Lidao Bay （LDB） in Shandong Peninsula,eastern China.The species composition and cell abundance of phytoplankton in the bay waters in spring （April 2011）,summer （August 2011）,autumn （October 2011）,and winter （January 2012） were examined using the Uterm6hl method.A total of 80 taxa of phytoplankton that belong to 39 genera of 3 phyla were identified.These included 64 species of 30 genera in the Phylum Bacillariophyta,13 species of 8 genera in the Phylum Dinophyta,and 3 species of 1 genus in the Phylum Chrysophyta.During the four seasons,the number of phytoplankton species （43） was the highest in spring,followed by summer and autumn （40）,and the lowest number ofphytoplankton species （35） was found in winter.Diatoms,especially Paralia sulcata （Ehrenberg） Cleve and Coscinodiscus oculus-iridis Ehrenberg,were predominant in the phytoplankton community throughout the study period,whereas the dominance of dinoflagellate appeared in summer only.The maximum cell abundance of phytoplankton was detected in summer （average 8.08 × 103 cells L-1） whereas their minimum abundance was found in autumn （average 2.60 x 103 cellsL-1）.The phytoplankton abundance was generally higher in the outer bay than in the inner bay in spring and autumn.In summer,the phytoplankton cells were mainly concentrated in the south of inner SGB,with peak abundance observed along the western coast.In winter,the distribution of phytoplankton cells showed 3 patches,with peak abundance along the western coast as well.On seasonal average,the Shannon-Wiener diversity indices of phytoplankton community ranged from 1.17 to 1.78 （autumn 〉 summer 〉 spring 〉 winter）,and the Pielou＇s evenness indices of phytoplankton ranged from 0.45 to 0.65 （autumn 〉 spring 〉 summer〉 winter）.According to the results of canonical correspondence analysis,phosphate level w     

Estimating the Budgets of Nutrients for Phytoplankton Bloom in the Central Yellow Sea Using a Modified Lower Tropic Ecosystem ModelDOI 10.1007/s11802-014-1900-6

A modified lower trophic ecosystem model(NEMURO) is coupled with a three-dimensional hydrodynamic model for an application in the central Yellow Sea. The model is used to simulate the horizontal distributions and annual cycles of chlorophyll-a and nutrients with results consistent with historical observations. Generally, during the winter background and spring bloom periods, the exchange with neighboring waters constitutes the primary sources of nutrients. Howerver, during the winter background period, the input of silicate from the layer deeper than 50 m is the most important source that contributes up to 60% to the total sources. During the spring bloom period, the transport across the thermocline makes significant contribution to the input of phosphate and silicate. During the post spring bloom period, the relative contribution of relevant processes varies for different nutrients. For ammonium, atmospheric deposition, excretion of zooplankton and decomposition of particulate and dissolved nitrogen make similar contributions. For phosphate and silicate, the dominant input is the transport across the thermocline, accounting for 62% and 68% of the total sources, respectively. The N/P ratio averaged annually and over the whole southern Yellow Sea is up to 51.8, indicating the potential of P limitation in this region. The important influence of large scale sea water circulation is revealed by both the estimated fluxes and the corresponding N/P ratio of nutrients across a section linking the northeastern bank of the Changjiang River and Cheju Island. During the winter background period, the input of nitrate, ammonium, phosphate and silicate by the Yellow Sea Warm Current is estimated to be 4.6×1010, 2.3×1010, 2.0×109 and 1.2×1010 mol, respectively.