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Phytoplankton growth rates and mortality rates were experimentally examined at 21 stations during the 2017 spring intermonsoon(April to early May) in the northern and central South China Sea(SCS) using the dilution technique, with emphasis on a comparison between the northern and central SCS areas which had different environmental factors. There had been higher temperature but lower nutrients and chlorophyll a concentrations in the central SCS than those in the northern SCS. The mean rates of phytoplankton growth(μ_0) and microzooplankton grazing(m) were(0.88±0.33) d~(–1) and(0.55±0.22) d~(–1) in the central SCS, and both higher than those in the northern SCS with the values of μ_0((0.81±0.16) d~(–1)) and m((0.30±0.09) d~(–1)), respectively.Phytoplankton growth and microzooplankton grazing rates were significantly coupled in both areas. The microzooplankton grazing impact(m/μ_0) on phytoplankton was also higher in the central SCS(0.63±0.12) than that in the northern SCS(0.37±0.06). The microzooplankton abundance was significantly correlated with temperature in the surface. Temperature might more effectively promote the microzooplankton grazing rate than phytoplankton growth rate, which might contribute to higher m and m/μ_0 in the central SCS. Compared with temperature, nutrients mainly affected the growth rate of phytoplankton. In the nutrient enrichment treatment,the phytoplankton growth rate(μn) was higher than μ_0 in the central SCS, suggesting phytoplankton growth in the central SCS was nutrient limited. The ratio of μ_0/μn was significantly correlated with nutrients concentrations in the both areas, indicating the limitation of nutrients was related to the concentrations of background nutrients in the study stations. 相似文献
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因长期遭受地质作用和构造力的改造作用,地下岩体中存在大量的软弱破碎带,隧道开挖穿越这一地带很容易出现较大的变形,甚至出现塌方等事故。论文采用TGP超前地质预报与掌子面围岩调查相结合的方法进行隧道掌子面及前方未开挖岩体的精细化地质调查,获取了隧道围岩的Hoek-Brown参数。采用FLAC3D数值模拟方法,分析了破碎带围岩在既定支护条件下的稳定性,并与现场监测数据进行对比,验证此方法的正确性。研究结果表明,数值模拟结果与实际监测结果较为吻合,可以将此方法用于指导未开挖段隧道的稳定性预测,以确保隧道掘进过程的施工安全。 相似文献
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基于位置服务给人们的生活带来极大的便利,而目前定位系统特别是室内定位普遍依赖于无线网络信号.很多情况下,用户有位置隐私保护的需求,然而,在目前的大数据时代,基于网络的室内定位服务要求用户将个人位置信息实时提供给服务提供商,这导致用户隐私的泄露.如何有效实现室内的基于位置服务,并且保护用户的个人位置信息就成了大数据时代的一个关键问题.本文介绍了一种面向位置数据隐私保护的离线地磁定位模型,利用加速度传感器和微机电磁力计检测行人步态和地球磁场来实现室内定位.本模型利用加速度计检测行人的步态信息,配合磁力计检测的磁场信息与指纹地图进行匹配,实现了室内定位需求的同时又解决了用户位置信息泄露的问题,为大数据时代如何保护用户的位置信息提供了一个有效的解决办法. 相似文献
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地下水封油库利用“隙存水封”的原理通过地下洞室进行石油地下存储,并多建于结晶岩体中,岩体裂隙渗流特性直接影响地下油库储油安全。地下洞库水封机理可简化为围岩裂隙中的油水两相渗流问题,需同时考虑油驱水和水驱油过程。基于分形理论定量刻画了天然花岗岩裂隙面的粗糙度,通过3D打印技术制备了不同粗糙度的透明裂隙,利用研制的单裂隙多相渗流可视化试验装置开展了模型试验,并结合数值模拟对花岗岩粗糙裂隙中的油-水驱替规律进行了研究。研究表明：水油流度比的差异导致花岗岩裂隙两相驱替呈现出不同效果,油驱水前缘呈活塞式整体推进,而水驱油前缘呈指进式推进;压力差或隙宽的增加更加显著地提升油驱水效果,但裂隙粗糙度的增加则对裂隙中流体的流动起到了阻碍作用,使得驱替难以进行;在考虑裂隙粗糙度和油相黏度的情况下,仅通过围岩裂隙水压力大于洞库内部油压来判别水封性能的“水封准则”存在缺陷;由于“贾敏效应”的作用,水驱油时裂隙中的油将难以被完全驱替,当油库发生油品泄漏时,难以将油品完全驱回洞库内部。研究成果可为粗糙裂隙岩体两相渗流规律及地下洞库水封机理的研究提供参考依据。 相似文献
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