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题名蚌埠钻孔应变受抽水干扰的分析
被引量:9
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作者
李罡风
姜薇薇
陶媛
裴红云
李发
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机构
安徽省地震局
庐江地震台
金寨地震台
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出处
《西北地震学报》
CSCD
北大核心
2011年第B08期456-460,共5页
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文摘
分析了蚌埠地震台体应变受抽水的干扰情况,并给予了较合理的解释。通过对蚌埠台体应变数据的趋势变化分析,认为抽水干扰不是影响该台体应变观测数据趋势变化的主要因素;又通过区域不同台站体应变数据的对比分析,得到区域应力场是影响应变观测曲线变化的主要因素的论断。为使用该台体应变数据提供了参考,同时也为体应变的选址提供了参考实例。
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关键词
安徽蚌埠台
钻孔体应变
抽水干扰
观测环境
区域应力场
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Keywords
Benbu seismic station in Anhui province
Bore-hole body strain
Pumping disturbance
Observation environment
regional stress field
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分类号
P315.727
[天文地球—地震学]
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题名基于新疆分量式钻孔应变异常时间的地震强度预测研究
被引量:4
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作者
蒋靖祥
徐衍刚
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机构
新疆维吾尔自治区地震局
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出处
《内陆地震》
2008年第1期6-13,共8页
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基金
国家自然科学基金(40562001)课题
中央级公益性科研院所基本科研业务专项基金课题(J2207838)共同资助
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文摘
研究了利用钻孔应变异常时间预测地震震级问题。从实际工作需要出发,在做了大量震例总结和比较了前人的工作之后,首次得到了更加适合新疆地区的异常时间与震级之间的统计关系式,即MS=5.4+0.004T±0.5。讨论了3个预测震级公式的优缺点及存在的问题,一些不合理的因素得到改善,震级预测误差明显减小,这对新疆地区的地震强度预测有实际意义。
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关键词
分量式钻孔应变
异常时间
测区相对应力场
震级预测
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Keywords
Component-type borehole strain
Anomalous time
comparative stress field in observational region
Earthquake magnitude estimation
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分类号
P315.7
[天文地球—地震学]
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题名高邮-宝应M4.9地震前湖州定点形变异常分析
被引量:4
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作者
方燕勋
马武刚
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机构
浙江省地震局湖州地震台
中国地震局地震研究所(地震大地测量重点实验室)
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出处
《大地测量与地球动力学》
CSCD
北大核心
2013年第A01期76-78,共3页
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基金
中国地震局三结合课题
浙江省地震局局科技项目(2013ZJJ08)
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文摘
对高邮-宝应M4.9地震前湖州台定点形变资料进行了分析,发现其存在趋势异常、短期异常和临震异常。震源机制解结果显示,摆式倾斜仪的倾斜异常的方向与研究区域背景应力场方向一致,形变异常很可能是区域构造应力场改变的反映。
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关键词
高邮-宝应朋4
9地震
湖州地震台
形变观测
异常
区域构造应力场
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Keywords
M4.9 Gaoyou-Baoying earthquake
Huzhou Seismostation
deformation observation
anomaly
regional tectonic stress field
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分类号
P315.725
[天文地球—地震学]
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题名多巴胺系统基因对注意网络的调控作用
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作者
陈晨
张英
刘嘉
胡思源
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机构
北京师范大学心理学部应用实验心理北京市重点实验室心理学国家级实验教学示范中心(北京师范大学)
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出处
《心理科学》
CSSCI
CSCD
北大核心
2018年第1期24-30,共7页
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基金
国家自然科学基金青年科学基金项目(31000507)的资助
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文摘
多巴胺是脑内重要的神经递质之一,与注意活动紧密相关。本文选取作用于突触前膜、间隙和后膜的多巴胺系统基因——多巴胺转运蛋白基因、儿茶酚氧化甲基转移酶基因和多巴胺受体基因,整合影像遗传学研究,探讨多巴胺基因对注意网络的调控。元分析发现背侧和腹侧注意网络的主要脑区均有较大的基因调控效应,且腹侧网络的效应值显著大于背侧网络,表明多巴胺系统基因在全脑范围内调控注意网络,且对腹侧网络的调控作用强于背侧网络。
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关键词
注意网络
功能磁共振成像
影像遗传学
多巴胺系统
元分析
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Keywords
included but not limited to functional magnetic resonance imaging (tMRI), and candidate doparninergic system genes targeting at the presynaptic, the postsynaptie neurons, or the synaptic cleft, such as the dopamine transporter gene (DAT), the catechol-O-methyltransferase gene (COMT) or the dopamine receptor gene (DRD). Reference lists were checked by hand and a total of forty-four papers were gathered and applied to our meta-analysis. We extracted the coordinates of peak voxels where the genetic modulatory effect on attention was reported in the papers and then projected them onto a brain template in Caret to visualize the distribution of the modulatory effects of genes. The effect sizes were calculated using Cohen's d to quantify the magnitude of activation differences between the subjects with separate ganotypes in each att
ntion task. The random-effects model was chosen for the meta-analysis and the effect sizes of effective modulation of dopaminergie system genes in different brain regions were calculated with Comprehensive Meta-Analysis program (CMA). To compare the differences across attention networks and dopaminergic genes, the Q-test of homogeneity was used to test for variations in effect sizes. Our results showed that the integrated effect sizes of effective modulation of dopaminergic system genes were all above .8 (Cohen's d) in the ventral attention network (VAN), including the ventral prefrontal cortex (VLPFC), the orbitofrontal gyms (OFG), and the superior temporal gyms (STG), and also in the dorsal attention network (DAN), consisting of the dorsolateral prefrontal cortex (DLPFC), the superior parietal lobule (SPL) and the frontal eye field (FEF). The VAN presented a significantly higher effect size in comparison to the DAN (Qb = 4.94,p 〈 .05). in addition, the variation test of effect sizes for dopaminergic system genes showed that the COMT gene exhibited a significantly higher effect size than that of DAT gene (Qb = 77.04,p 〈 .001) and DRD gene (Qb = 186.35,p 〈 .001). Our study suggests the important role of the dopaminergic system genes in regulating attention networks in the whole brain. As DAN enables the selection of sensory stimuli based on internal goals and VAN detects salient and relevant stimuli in the environment. The observed stronger modulatory effect of dopaminergic system genes in VAN than in DAN suggests that bottom-up attention, compared with top-down attention, receives more modulation from genes than from the environment. Our study invites broader and deeper studies on the relationship between the genes, the brain, and the attentional behaviors at the network level in the future. Key words attention networks, MRI, imaging genetics, doparninergic system, meta-anaiysis
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分类号
R338
[医药卫生—人体生理学]
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