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Simulation of the water level influence on the difference within the water-tube tiltmeter in Shuangyang Lake 被引量:1
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作者 Chong Yue Chuncheng tang +5 位作者 Wei Yan Xiaodong Pan Xueme Li yuwen tan Zongfeng Zhang Tianlong Yu 《Earthquake Research Advances》 CSCD 2021年第2期33-39,共7页
This article analyzes the relationship between the water level and the water-tube tilting in Shuangyang lake,based on the differential deformation features reflected by the NS and EW components of the water-tube tiltm... This article analyzes the relationship between the water level and the water-tube tilting in Shuangyang lake,based on the differential deformation features reflected by the NS and EW components of the water-tube tiltmeter.The results show a good spatiotemporal consistency between the variation of water level and the NS tilt component,which is considered to be affected by the magnitude and duration of the water level variation in Shuangyang Lake.The article uses Landsat remote sensing image data to extract the water boundary of Shuan-gyang Lake,and takes advantage of the finite element numerical simulation method to build three-dimensional models for different geological structural conditions of the Shuangyang seismostation.The simulation results show that when the underground medium is granite,the effect of water level variation on the vertical displacement of the surface is non-directional.With a 50-m soil layer in Model 2,the simulated NS tilt variation is equivalent to the actual observed water-tube tiltmeter NS component when the water level variation is 0.44 m and 0.8m.When the variation of water level reaches 2.0m,the simulation result of the NS component is 79.6 ms,which is slightly larger than the observed result of 60.32 ms.However,the simulation results show that the variation of the EW component is significantly smaller than that of the NS one.Due to the fact that the Shuan-gyang lake is long in the NS direction and short in the EW direction,the existence of the soil layer tends to generate ground deformation along the NS direction in the vicinity of the lake after the increase of water level,thereby resulting in the difference of the ground deformation in the two directions. 展开更多
关键词 Water-tube tiltmeter at shuangyang seismostation Water level of shuangyang lake Finite element method Difference of the ground deformation
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Numerical Analysis of Meat Quality Traits of Ningdu Yellow Rooster 被引量:1
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作者 Yi Zhang Min Zhou +2 位作者 Wenbing Wu Xuenong Zhu yuwen tan 《Food and Nutrition Sciences》 2020年第11期1003-1011,共9页
In order to</span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> study the meat quality characteristics of </span>... In order to</span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> study the meat quality characteristics of </span><span style="font-family:Verdana;">Ningdu</span><span style="font-family:Verdana;"> yellow rooster, the 7 indexes of 120 healthy </span><span style="font-family:Verdana;">Ningdu</span><span style="font-family:Verdana;"> yellow rooster</span></span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> after </span><span style="font-family:Verdana;">slaughter</span><span style="font-family:Verdana;"> at the age of 16 weeks were determined, and correlation analysis, regression analysis </span><span style="font-family:Verdana;">and</span><span style="font-family:Verdana;"> principal component analysis were carried out among the indexes.</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">The results showed that the variation coefficient of PH value was smaller than that of water drop rate and meat colorimetric, and the lactic acid produced by anaerobic glycolysis of glycogen in chicken meat was slower.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">Through correlation analysis, the 24-hour drip rate was strongly correlated with the 48-hour drip rate (coefficient ≥</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.7,</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">p</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">≤</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.05), and the other indicators were independent of each other.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">By means of</span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> regression analysis, the regression equation (fitting degree R</span><sup><span style="font-family:Verdana;">2</span></sup></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">=</span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">0.984) of </span><span style="font-family:Verdana;">24</span><span style="font-family:Verdana;">- and 48-hour drip rate was established.</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span><span><span style="font-family:""><span style="font-family:Verdana;">Principal component analysis synthesized 7 indicators into 3 principal components, with a cumulative contribution rate of 70.13%, indicating that the meat quality of Ningdu Yellow chicken rooster is mainly selected by water drop rate, PH value </span><span style="font-family:Verdana;">and</span><span style="font-family:Verdana;"> meat color test. 展开更多
关键词 Ningdu Yellow Rooster Meat Quality Numerical Analysis
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Paleozoic Intrusive Rocks in the Nalati Mountain Range(NMR), Southwest Tianshan: Geodynamic Evolution Based on Petrology and Geochemical Studies 被引量:9
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作者 Huichao Zhang Yongfeng Zhu +3 位作者 Wanyi Feng yuwen tan Fang An Jiahao Zheng 《Journal of Earth Science》 SCIE CAS CSCD 2017年第2期196-217,共22页
A synthesis involving the data for the Nalati mountain region(NMR) in west Tianshan with a dataset including zircon U-Pb ages, Hf isotopic composition, major and trace elements of Paleozoic intrusions are presented ... A synthesis involving the data for the Nalati mountain region(NMR) in west Tianshan with a dataset including zircon U-Pb ages, Hf isotopic composition, major and trace elements of Paleozoic intrusions are presented to improve the understanding of regional geodynamic evolution. Paleozoic intrusive rocks in the NMR could be classified into four categories based on chronological and geochemical data: 480?5 Ma, 445–410 Ma, 345–320 Ma, and 295 Ma, which correspond to(1) closure of the Terskey Ocean and the opening of the south Tianshan back-arc basin, which was followed with the opening of the south Tianshan Ocean,(2) initial subduction of the south Tianshan oceanic crust,(3) major subduction stage, and(4) collision to post-collisional stage, respectively. Following the closure of the Terskey Ocean, the south Tianshan Ocean opened at Early Silurian and subducted under Yili-central Tianshan by the end of Early Carboniferous Period. The following breakoff of the subducted slab triggered partial melting of continental crust and formed voluminous granitic rocks in the NMR. 展开更多
关键词 granite Nalati mountain range(NMR) Tianshan orogenic belt geodynamic evolution
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