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121.
Temperature and salinity are two of the most potent abiotic factors infl uencing marine mollusks.In this study,we investigated the individual and combined ef fects of temperature and salinity on the survival and growth of juvenile Pacifi c abalone,Haliotis discus hannai Ino,and also examined the DNA methylation alteration that may underpin the phenotypic variation of abalone exposed to dif ferent rearing conditions.The single-factor data showed that the suitable ranges of temperature and salinity were 16–28°C at a constant salinity of 32,and 24–40 at a constant temperature of 20°C,respectively.The two-factor data indicated that both survival and growth were signifi cantly af fected by temperature,salinity and their interaction.The optimal temperature-salinity combination for juveniles was 23–25°C and 30–36.To explore environment-induced DNA methylation alteration,the methylation-sensitive amplifi ed polymorphism(MSAP)technique was used to analyze the genomic methylation profi les of abalone reared in optimal and adverse conditions.Neither temperature nor salinity induced evident changes in the global methylation level,but 67 and 63 dif ferentially methylated loci were identifi ed in temperature and salinity treatments,respectively.The between-group eigen analysis also showed that both temperature and salinity could induce epigenetic dif ferentiation in H.discus hannai Ino.The results of our study provide optimal rearing conditions for juvenile H.discus hannai Ino,and represent the fi rst step toward revealing the epigenetic regulatory mechanism of abalone in response to thermal and salt stresses. 相似文献
122.
Yuan Zhong Lu Zhou Xiucheng Tan Chengbo Lian Hong Liu Jijia Liao Guang Hu Mingjie Liu Jian Cao 《地学前缘(英文版)》2017,8(5):961-975
Sand-rich tight sandstone reservoirs are potential areas for oil and gas exploration. However, the high ratio of sandstone thickness to that of the strata in the formation poses many challenges and uncertainties to traditional lithofacies paleogeography mapping. Therefore, the prediction of reservoir sweet spots has remained problematic in the field of petroleum exploration. This study provides new insight into resolving this problem, based on the analyses of depositional characteristics of a typical modern sand-rich formation in a shallow braided river delta of the central Sichuan Basin, China. The varieties of sand-rich strata in the braided river delta environment include primary braided channels, secondary distributary channels and the distribution of sediments is controlled by the successive superposed strata deposited in paleogeomorphic valleys. The primary distributary channels have stronger hydrodynamic forces with higher proportions of coarse sand deposits than the secondary distributary channels. Therefore, lithofacies paleogeography mapping is controlled by the geomorphology, valley locations, and the migration of channels. We reconstructed the paleogeomorphology and valley systems that existed prior to the deposition of the Xujiahe Formation. Following this, rock-electro identification model for coarse skeletal sand bodies was constructed based on coring data. The results suggest that skeletal sand bodies in primary distributary channels occur mainly in the valleys and low-lying areas, whereas secondary distributary channels and fine deposits generally occur in the highland areas. The thickness distribution of skeletal sand bodies and lithofacies paleogeography map indicate a positive correlation in primary distributary channels and reservoir thickness. A significant correlation exists between different sedimentary facies and petrophysical properties. In addition, the degree of reservoir development in different sedimentary facies indicates that the mapping method reliably predicts the distribution of sweet spots. The application and understanding of the mapping method provide a reference for exploring tight sandstone reservoirs on a regional basis. 相似文献
123.
Extreme learning machine for the displacement prediction of landslide under rainfall and reservoir level 总被引:3,自引:1,他引:2
Cheng Lian Zhigang Zeng Wei Yao Huiming Tang 《Stochastic Environmental Research and Risk Assessment (SERRA)》2014,28(8):1957-1972
Landslide prediction is always the emphasis of landslide research. Using global positioning system GPS technologies to monitor the superficial displacements of landslide is a very useful and direct method in landslide evolution analysis. In this paper, an EEMD–ELM model [ensemble empirical mode decomposition (EEMD) based extreme learning machine (ELM) ensemble learning paradigm] is proposed to analysis the monitoring data for landslide displacement prediction. The rainfall data and reservoir level fluctuation data are also integrated into the study. The rainfall series, reservoir level fluctuation series and landslide accumulative displacement series are all decomposed into the residual series and a limited number of intrinsic mode functions with different frequencies from high to low using EEMD technique. A novel neural network technique, ELM, is employed to study the interactions of these sub-series at different frequency affecting landslide occurrence. Each sub-series extracted from accumulative displacement of landslide is forecasted respectively by establishing appropriate ELM model. The final prediction result is obtained by summing up the calculated predictive displacement value of each sub. The EEMD–ELM model shows the best accuracy comparing with basic artificial neural network models through forecasting the displacement of Baishuihe landslide in the Three Gorges reservoir area of China. 相似文献
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125.
汉诺坝大麻坪低εNd中性麻粒岩包体单颗粒锆石U-Pb年代学研究 总被引:6,自引:1,他引:5
利用 LA-ICPMS对采集自汉诺坝大麻坪玄武岩中的两个 143Nd/144Nd比值最低[εNd(0)=-26.8~-29.5]的中性麻粒岩包体的单颗粒锆石 U-Pb年代学进行了研究,获得了 2 444 Ma和 2 494 Ma的上交点年龄和 88 Ma的下交点年龄,反映它们是新太古代形成的受到中生代岩浆底侵-热变质作用影响的下地壳麻粒岩.这些包体与周坝玄武岩中~1.9 Ga的长英质麻粒岩包体共同确证了华北克拉通北缘目前的下地壳中仍然残留有前寒武纪下地壳岩石.结合区域构造演化历史和 DMP-70的层状堆晶特征,推断其原岩形成于~2.5 Ga岩浆底侵事件. 相似文献
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128.
Destructions resulted from natural hazards like earthquake, landslide, or flood in the urban roads and lifelines introduce their negative effects including the psychological damage to citizens as well as decreased urban functions that usually last for a long time. Thus, a quick and efficient recovery of infrastructures, lifelines, and service-providing facilities along with reducing reconstruction costs and time are essential. This paper proposed an approach that consists of four models for forming an algorithm in order to quantitating and integrating of the criteria that have decisive influence in the recovery of urban roadways after a natural disaster. Meanwhile, to aggregate and conclude the data that are collected by means of presented functions and formulations, we applied fuzzy VIKOR technique as a compromise ranking method. The model outputs a priority list showing the revival of which urban paths stands in higher priority for recovery operation after a natural disaster. Results show that not only the model is able to precisely quantize the selected criteria and provide an action plan for post-event recovery prioritization, but also it offers an appropriate order of transportation roads priority for recovery operations. Finally, the results from the recovery model application to a roadway system in Tehran area are provided. 相似文献
129.
<正>Two Mesozoic intramontane basins are developed in the Dunhuang-Yumenguan-Jiuquan area of Gansu Province,China,i.e.,the Gongpoquan Basin(E97°30′-98°10′,N41°30′-41°45′)and the Yujingzi Basin(E98°15′-99°00′,N40°15'-40°40')(Fig.1).A large number of dinosaurs and other fossils have been discovered in these two basins,which are called dinosaur'tribes'by paleontologists. 相似文献
130.
<正>1 Dinosaur Eggs in Yiwu City,Zhejiang Province In February 2017,dinosaur egg fossils were discovered in Chian Town part of Yiwu City,Zhejiang Province.They were confirmed by dinosaur experts from the Zhejiang Museum of Natural History to be those of Mesozoic herbivorous dinosaurs(Fig.1).Not long before,Yiwu Museum staff had discovered dinosaur eggs close by this place. 相似文献