CO_2改性水玻璃砂的热强度、高温强度和发气性

研究了CO2改性水玻璃砂的热强度、高温强度和发气性,结果表明,随着粘结剂加入量的增加,热强度、高温强度和发气性增大;粘结剂种类不同,型砂的热强度、高温强度和发气性不同;其中,l#改性树脂改性水玻璃18#的热强度、高温强度均比普通水玻璃高,发气量则小于普通水玻璃;用扫描电镜分别观察了普通和改性水玻璃砂在加热温度为600℃、800℃、1000℃、1200℃时的高温炉内折断断口,解释了改性水玻璃砂比普通水玻璃砂高温强度高的原因。     

碱和表面活性剂用量对弱碱三元体系乳状液稳定性的影响

以Na_2CO_3为碱组分,BHS-01A为表面活性剂组分,HPAM为聚合物组分,采用瓶试法分析乳状液稳定性,通过实验配制三元组分和模拟油混合而形成乳状液,研究碱和表面活性剂用量对乳状液稳定性的影响。结果表明:随表面活性剂质量分数和碱量的增加,原油乳状液稳定性先增加后降低。表面活性剂质量分数和碱量在0.20%～0.30%时,乳状液析水率最低,稳定性最好;过量碱加入使乳状液稳定性变差,体系中表面活性剂质量分数越高,乳状液稳定性开始变差的碱量越低。当碱量达到0.7%以上时,部分O/W型原油乳状液发生转相是乳状液析水率上升的重要原因;碱和表面活性剂协同作用下,碱对乳状液稳定性的贡献高于单独碱存在时对乳状液稳定性的贡献,且表面活性剂质量分数越高,碱和表面活性剂的协同作用效果越好。     

新型相变坡屋顶隔热结构传热分析

建立相变与普通坡屋顶结构的三维物理模型与数学模型,分析在夏季室外综合温度作用下的热工特性,得到从初始阶段过渡到稳定阶段时间内上、下表面的平均温度逐时分布曲线,以及稳定阶段下表面的平均温度及平均热流密度24 h逐时分布曲线.结果表明:相变屋顶下表面平均温度及平均热流密度波动的幅值比普通坡屋顶分别降低92.2％和92.3％...     

柴达木盆地西部典型油田原油地球化学特征对比

利用色谱-质谱(GC-MS)分析技术,系统剖析了柴达木盆地西部南区尕斯库勒、油砂山油田(A区)与北区南翼山、油泉子油田(B区)原油的生物标志化合物组成和分布特征,探讨了A区和B区原油的成因差异及其地质影响因素.结果表明:A区部分浅层原油正构烷烃碳数分布不完整,具有异常高的姥鲛烷(Pr)与n-C17峰面积比值和植烷(Ph)与n-C18峰面积比值,说明A区浅层油藏保存条件较差,部分原油遭受了轻微生物降解;A区和B区原油中甾藿比均大于2.4,且甾烷C27R与甾烷C29R峰面积比值多大于1,指示这2个区域原油母质来源都以浮游藻类为主,但B区原油中甾烷C27R与甾烷C29R峰面积比值和补身烷系列相对含量普遍高于A区,表明B区原油浮游藻类和细菌生源贡献可能相对较高;所有原油都具有低姥植比、高伽马蜡烷含量的特点,且都检测出一定丰度的β-胡萝卜烷,说明生成原油的烃源岩形成于强还原咸水沉积环境,但A区原油中姥植比、伽马蜡烷指数以及 β-胡萝卜烷与C30藿烷峰面积比值明显高于B区,且升藿烷系列呈“翘尾巴”分布模式,而B区原油则没有这种现象,揭示生成A区原油的烃源岩沉积水体盐度更高、还原性更强;甾烷异构体比值(C2920S/(20S+ 20R)值和C29ββ/(ββ+αα)值)表明A区均为低熟原油,而B区多为成熟原油.结合柴达木盆地西部第三纪湖盆沉积和构造演化史,认为南区与北区烃源岩沉积相带的不同空间展布情况是造成A区与B区原油地球化学特征差异的根本原因.     

热敏可逆凝胶调剖剂的研制与应用

为解决注气开采过程中油层纵向动用程度不均匀及气窜问题,实验优选羟丙基甲基纤维素(HPMC)作为热敏可逆凝胶调剖剂主剂,给出其适宜的质量分数为3.0%;通过选择性地向热敏可逆凝胶添加无机物或有机物,调整热敏可逆水溶性凝胶的成胶温度和成胶时间,提高可逆水溶性凝胶的强度;分别试制A、B添加剂,提高热敏可逆凝胶的耐温性和抗盐性...     

新质源抗稻瘟病籼型不育系湛A的选育研究

以东莞野生稻为细胞质供体,梅青B×II-32B的后代为细胞核供体,经杂交和连续多代回交核置换,转育成新质源三系不育系湛A。选育结果:湛A育性稳定,不育株率100%,花粉不育度99.95%,典败花粉率95.64%,异交结实率高,抗稻瘟病,中抗白叶枯病,恢复谱较广,配合力好。     

荣县地震InSAR同震与时间序列形变初步分析

借助Sentinel-1A卫星升降轨数据，利用合成孔径雷达差分干涉测量(DInSAR)和Okada均匀滑动模型反演获得四川荣县地区三维同震形变场及荣县地震震源参数。结果表明，此次地震造成的断裂现象大体沿NS向，两侧沉降区域中间伴随抬升现象，最大垂直形变量约18 mm；荣县地震发震断层符合逆断层特性，断层长约9.5 km，宽约2.1 km。采用时间序列分析技术获取该地区2018-11～2019-03各时间段的累计形变，结果发现，该区域在震前形变波动较小，地震是造成累计形变较大的主要原因，震后地表变化趋于稳定。     

凡纳滨对虾和斑节对虾对WSSV敏感性的比较

用6.0×104拷贝、1.2×104拷贝和6.0×103拷贝3种剂量白斑综合症病毒(WSSV)对凡纳滨对虾和斑节对虾进行人工注射感染,比较了两种对虾对WSSV敏感性的差异。结果表明,凡纳滨对虾死亡时间随病毒剂量降低而延长,斑节对虾死亡时间没有明显差异;随病毒剂量的降低,凡纳滨对虾人工注射感染后病毒复制高峰时间显著延长,斑节对虾感染后病毒复制高峰时间相同,WSSV在凡纳滨对虾体内比在斑节对虾体内复制慢。对虾携带WSSV数量最低为3.3×107拷贝.g-1,最高为4.3×108拷贝.g-1。凡纳滨对虾比斑节对虾对WSSV的抵抗性更强。     

维生素E醋酸酯对鱼油脂肪酸含量变化的影响

新鲜鱼油中添加05、0、2505、00 mg/kg 4种不同浓度的维生素E醋酸酯,在实验的第6、14、28、36和68天测定鱼油中的脂肪酸含量。结果表明:在500 mg/kg添加量内,维生素E醋酸酯对鱼油中脂肪酸含量没有显著性影响(P>0.05)。在实验期间,EPA(C20:5)、DHA(C22:6)、亚油酸(C18:2)含量明显下降,ARA(C20:4)、亚麻酸(C18:3)先升后降,棕榈酸(C16:1)逐步上升;C14含量逐渐增加,C17则先降后升,C16和C18在实验后期有较大提高。维生素E醋酸酯对鱼油中不饱和脂肪酸效用系数大小依次为:ARA>EPA>DHA>C18:3>0>C16:1>C18:2>C18:1,对ARA抗氧化效用最大,效用系数达到10.193%,C20:5为0.490%,C22:6为0.364%;维生素E醋酸酯对饱和脂肪酸效用系数大小依次为:C14>C17>0>C18>C16。     

石油污染土壤生物修复的强化技术

为探索石油污染土壤的高效修复方法,从实验室保存的优势菌中筛选得到4株降油效果最佳菌,采用摇床和恒温培养箱培养,对含油量为5%的石油污染土壤进行微生物菌剂强化处理和环境强化实验.微生物菌剂强化结果表明:4种菌和除油效果最好的A、C、D混合菌3 d可将石油烃依次降解24%、19.81%、22.55%、26.46%、39.67%;并对该菌群的最佳投加配比进行确定,A、C、D菌群数量的最佳配比为NA∶NC∶ND=1∶2∶0.5,3 d内菌群A、C、D在最佳接种配比情况下可将石油烃降解44.2%.环境强化实验结果表明:A、C、D菌群在最佳修复条件营养物质C∶N∶P为75∶8∶3、表面活性剂为0.5%、通气条件为6层纱布、电子受体H2O2的加入量为1.5%下,3 d内石油烃降解61.46%,比自然条件下修复的除油率4.7%提高了56.76%,较只进行菌种强化时最高除油率44.2%提高了约17%.     

THE SAND WEDGE AND MIRABILITE OFTHE LAST ICE AGE AND THEIR PALEOCLIMATICSIGNIFICANCE IN HEXI CORRIDOR

Sand wedge is formed under the conditions of coldclimate, and is an important basis for reconstructingpaleoenvironment (LI et al., 1990; WANG, 1991 ). Ithas been reported constantly over the last 20 years inthe Qinghai-Xizang (Tibet) Plateau (GUO, 1979; CUl,1983; XU et al., 1984; LIANG et al.,, 1984; PAN etal., 199 ) and North China (YANG et al., 1983; DONGet al., 1985) and Northeast China (GUO et al.,1981 ). We also found fossil sand wedge groups formedin the end of the Late P…     

EXAMINATION OF SILICATE LIMITATION OF PRIMARY PRODUCTION IN JIAOZHOU BAY, CHINA——I. SILICATE BEING A LIMITING FACTOR OF PHYTOPLANKTON PRIMARY PRODUCTION

Jiaozhou Bay data collected from May 1991 to February 1994, in 12 seasonal investigations, and provided the authors by the Ecological Station of Jiaozhou Bay, were analyzed to determine the spatiotemporal variations in temperature, light, nutrients (NO3^--N, NO2^--N, NH4^ -N, SIO3^2--Si, PO4^3--P), phytoplankton, and primary production in Jiaozhou Bay. The results indicated that only silicate correlated well in time and space with, and had important effects on, the characteristics, dynamic cycles and trends of, primary production in Jiaozhou Bay. The authors developed a corresponding dynamic model of primary production and silicate and water temperature. Eq. ( 1 ) of the model shows that the primary production variation is controlled by the nutrient Si and affected by water temperature; that the main factor controlling the primary production is Si; that water temperature affects the composition of the structure of phytoplankton assemblage; that the different populations of the phytoplankton assemblage occupy different ecological niches for C, the apparent ratio of conversion of silicate in seawater into phytoplankton biomas and D, the coefficient of water temperature‘s effect on phytoplankton biomass. The authors researched the silicon source of Jiaozhou Bay, the biogeochemical sediment process of the silicon, the phytoplankton predominant species and the phytoplankton structure. The authors considered silicate a limiting factor of primary production in Jiaozhou Bay, whose decreasing concentration of silicate from terrestrial source is supposedly due to dilution by current and uptake by phytoplankton; quantified the silicate assimilated by phytoplankton, the intrinsic ratio of conversion of silicon into phytoplankton biomass, the proportion of silicate uptaken by phytoplankton and diluted by current; and found that the primary production of the phytoplankton is determined by the quantity of the silicate assimilated by them. The phenomenon of apparently high plant-nutrient concentTations but low phytoplankton biomass in some waters is reasonably explained in this paper.     

Effects of nutritional factors on the growth and heterotrophic eicosapentaenoic acid production of diatom <Emphasis Type="Italic">Nitzschia laevis</Emphasis>

The effects of several nutritional factors on the growth and eicosapentaenoic acid (EPA) production of diatom Nitzschia laevis were studied. 4 LDM (quadrupled concentration of the nutrient salt) was the optimal concentration of nutrient salt for the growth and EPA production of N. laevis. The growth of N. laevis was inhibited when the glucose concentration was either lower than 10 gL⁻¹ or higher than 15 gL⁻¹. Both sodium nitrate and urea were good nitrogen sources for the growth and EPA production, while ammonium chloride seriously decreased the dry cell weight (DW) and the EPA content. Silicate seriously influenced the growth of N. laevis. The maximum DW of 2.34 gL⁻¹ was obtained in the presence of 150 mgL⁻¹ Na₂SiO₃·9H₂O. The EPA content remained almost the same when the silicate concentration was lower than 150 mgL⁻¹; however, higher silicate concentrations resulted in a steady decrease of EPA content. Low medium salinity (⩽29) did not seem to influence the DW of N. laevis, and high salinity resulted in a decrease of DW. The highest EPA content (4.08%) and yield (110 mgL⁻¹) were observed at the salinity of 36 and 29, respectively.     

Silicon limitation on primary production and its destiny in Jiaozhou Bay, China——Ⅳ：Study on cross-bay transect from estuary to ocean

The authors analyzed the data collected in the Ecological Station Jiaozhou Bay from May 1991 to November 1994, including 12 seasonal investigations, to determine the characteristics, dynamic cycles and variation trends of the silicate in the bay. The results indicated that the rivers around Jiaozhou Bay provided abundant supply of silicate to the bay. The silicate concentration there depended on river flow variation. The horizontal variation of silicate concentration on the transect showed that the silicate concentration decreased with distance from shorelines. The vertical variation of it showed that silicate sank and deposited on the sea bottom by phytoplankton uptake and death, and zooplankton excretion. In this way, silicon would endlessly be transferred from terrestrial sources to the sea bottom. The silicon took up by phytoplankton and by other biogeochemical processes led to insufficient silicon supply for phytoplankton growth. In this paper, a 2D dynamic model of river flow versus silicate concentration was established by which silicate concentrations of 0.028–0.062 μmol/L in seawater was yielded by inputting certain seasonal unit river flows (m³/s), or in other words, the silicate supply rate; and when the unit river flow was set to zero, meaning no river input, the silicate concentrations were between 0.05–0.69 μmol/L in the bay. In terms of the silicate supply rate, Jiaozhou Bay was divided into three parts. The division shows a given river flow could generate several different silicon levels in corresponding regions, so as to the silicon-limitation levels to the phytoplankton in these regions. Another dynamic model of river flow versus primary production was set up by which the phytoplankton primary production of 5.21–15.55 (mgC/m²·d)/(m³/s) were obtained in our case at unit river flow values via silicate concentration or primary production conversion rate. Similarly, the values of primary production of 121.98–195.33 (mgC/m²·d) were achieved at zero unit river flow condition. A primary production conversion rate reflects the sensitivity to silicon depletion so as to different phytoplankton primary production and silicon requirements by different phytoplankton assemblages in different marine areas. In addition, the authors differentiated two equations (Eqs. 1 and 2) in the models to obtain the river flow variation that determines the silicate concentration variation, and in turn, the variation of primary production. These results proved further that nutrient silicon is a limiting factor for phytoplankton growth. This study was funded by NSFC (No. 40036010), and the Director's Fund of the Beihai Sea Monitoring Center, the State Oceanic Administration.     

STUDY ON THE RELATIONSHIP BETWEEN SPECIATION OF HEAVY METALS AND THEIR ECOTOXICITY——I. TOXICITY OF Cu, Cd , Pb AND Zn IN SEAWATER TO THREE MARINE ALGAE IN THE PRESENCE OF DIFFERENT COMPLEXATION AGENTS

Heavy metal is a main pollutant in the marine ecosystem . so study on the effect of heavy metal on phytoplankton is important . Algae (Chaetoceros sp . , Dunaliella sp . ., Dicrateria zhanjiangenis Hu . var . sp .) were laboratory cultured to observe the effect of heavy metals on their growth . The effect of different metal ion concentration , the detoxication effect of complexation agents and the growth of algae in different media and different nutrition levels were studied to evaluate the effect of metal speciation . It is proved that trace amount of heavy metals can stimulate the growth of algae cells but that high concentration is lethal . The sequence of toxicity is Cd2+>Zn2+>Pb2+ . In ordinary nutrition conditions , the detoxication sequence of complexation agents to Chaetoceros sp . is EDTA > sodium salicylate > sodium oxalate > sodium citrate > sulfanilic acid > O-phenanthroline . This is in good conformity with the stability constant sequence of these agents with copper and good evidence that t     

Distributions of inorganic nutrients in the bohai sea of china

1　Introduction　TheBohaiSeaislocatedinthenorthernChinawithlongitudesofbetween 117°38′Eand 12 2°31′Eandlat itudesofbetween 37°0 8′Nand 4 1°0 2′N .Itisashal lowseawithanaveragewaterdepthof 18m (LiuandZhang ,2 0 0 0 ) .Severalbigrivers ,suchastheLiaoheRiver,theHaiheRiverandtheYellowRiver ,findtheirwaysintotheBohaiSeaandtransportlargeamountofnutrientsandsuspendedmattersfromthecontinentintothesea (Zhangetal.,1994 ;Zhang ,1996 ) .Duringthelasttwodecades ,marineenviron mentintheBohai…     

Examination of Silicate Limitation of Primary Production in Jiaozhou Bay,China Ⅱ.Critical Value and Time of Silicate Limitation and Satisfaction of the Phytoplankton Growth

Analysis and comparison of Jiaozhou Bay data collected from May 1991 to February 1994 revealed the spatiotemporal variations of the ambient Si(OH)₄:NO₃ (Si:N) concentration rations and the seasonal variations of (Si:N) ratios in Jiaozhou Bay and showed that the Si:N ratios were <1 throughout Jiaozhou Bay in spring, autumn, and winter. These results provide further evidence that silicate limits the growth of phytoplankton (i.e. diatoms) in spring, autumn and winter. Moreover, comparison of the spatiotemporal variations of the Si:N ratio and primary production in Jiaozhou Bay suggested their close relationship. The spatiotemporal pattern of dissolved silicate matched well that of primary production in Jiaozhou Bay. Along with the environmental change of Jiaozhou Bay in the last thirty years, the N and P concentrations tended to rise, whereas Si concentration showed cyclic seasonal variations. With the variation of nutrient Si limiting the primary production in mind, the authors found that the range of values of primary production is divided into three parts: the basic value of Si limited primary production, the extent of Si limited primary production and the critical value of Si limited primary production, which can be calculated for Jiaozhou Bay by Equations (1), (2) and (3), showing that the time of the critical value of Si limitation of phytoplankton growth in Jiaozhou Bay is around November 3 to November 13 in autumn; and that the time of the critical value of Si satisfaction of phytoplankton growth in Jiaozhou Bay is around May 22 to June 7 in spring. Moreover, the calculated critical value of Si satisfactory for phytoplankton growth is 2.15–0.76 μmol/L and the critical value of Si limitation of phytoplankton growth is 1.42–0.36 μmol/L; so that the time period of Si limitation of phytoplankton growth is around November 13 to May 22 in the next year; the time period of Si satisfactory for phytoplankton growth is around June 7 to November 3. This result also explains why critical values of nutrient silicon affect phytoplankton growth in spring and autumn are different in different waters of Jiaozhou Bay and also indicates how the silicate concentration affects the phytoplankton assemblage structure. The dilution of silicate concentration by seawater exchange affects the growth of phytoplankton so that the primary production of phytoplankton declines outside Jiaozhou Bay earlier than inside Jiaozhou Bay by one and half months. This study showed that Jiaozhou Bay phytoplankton badly need silicon and respond very sensitively and rapidly to the variation of silicon. This study was funded by NSFC (No. 40036010) and subsidized by Special Funds from National Key Basic Research Program of P. R. China (G19990437), the Postdoctoral Foundation of Ocean University of Qingdao, the Director's Foundation of the Beihai Monitoring Center of the State Oceanic Administration and the Foundation of Shanghai Fisheries University.     

Abkhandari （Aquifer Management）： a Green Path to the Sustainable Development of Marginal Drylands

1 Introduction A desert is defined as a large area of barren land, waterless and treeless, often sand-covered (Oxford Advanced Learner’s Dictionary of Current English 1974). The presence of numerous, sometimes prosperous agricultural communities in the so-called deserts defies this definition. The land is not necessarily barren; leaching of nutrients that causes certain deficiencies in the soils of humid environments hardly occurs in deserts. The most apparent deficiencies for crop product…     

基于关联规则与随机森林的地震多属性砂体厚度预测

地震属性技术是砂体厚度预测的重要手段,由于目前可从地震数据中提取的地震属性种类较多,在利用地震属性技术前,必须优化出对砂体厚度最敏感的地震属性组合,以减少地震属性信息的重复与冗余。为此提出了一种联合关联规则与随机森林回归算法的地震多属性砂体厚度预测方法。随机森林回归算法能够建立地震多属性与砂体厚度之间的非线性关系,并能进行属性选择,但是该算法无法识别地震多种属性中的冗余特征。关联规则能够发现地震属性之间的非线性关联,并能借助卡方检验消除地震属性间的冗余性。分别采用了随机森林回归算法（RFR）、联合关联规则与随机森林回归（AR-RFR）及BP神经网络回归的算法（AR-BP）对滩坝砂岩合成模型和某实际工区进行了砂体厚度预测。对比结果表明,基于关联规则的属性优选得到的属性间相关性低,关联规则与随机森林算法的结合提高了砂体厚度的预测精度。数值实验证明了该方法的有效性。