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您的检索式：作者名="Haiquan An"
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| 1 | Zircon U-Pb geochronology of the volcanic rocks from Fanchang-Ningwu volcanic basins in the Lower Yangtze region and its geological implications显示文摘The latest eruptions in two important Mesozoic volcanic basins of Fanchang and Ningwu located in the middle-lower reaches of the Yangtze River formed the bimodal volcanic rocks of the Kedoushan Formation and ultrapotassic volcanic rocks of the Niangniangshan Formation, respectively. The repre-sentative volcanic rocks of the two Formations were selected for LA-ICPMS zircon U-Pb dating. The results indicate that there exist a large amount of magmatic zircons as indicated by high Th/U ratios in these volcanic rocks. The weighted mean age of 21 analyses is 130.7±1.1 Ma for the Kedoushan Formation, and that of 20 analyses is 130.6±1.1 Ma for the Niangniangshan Formation. These U-Pb ages are interpreted to represent the formation times of the volcanic rocks. In combination with other known geochronological data for Mesozoic volcanic rocks from the Lower Yangtze region, it is proposed that the latest volcanic activations in the Jinniu, Luzong, Fanchang and Ningwu volcanic basins probably came to end prior to ca. 128 Ma. There is no significant time interval between the early and later volcanic activities in the Luzong and Ningwu basins, suggesting a short duration of volcanic activities and thus implying the onset of an extensional tectonic setting at about 130 Ma in the Lower Yangtze region. Integrated studies reveal that the Early Cretaceous magmatic activities and their geochronological framework in the Lower Yangtze region are a response to progressively dynamic deep processes that started with the transformation of tectonic setting from compression to extension, followed by delaminating of the lower part of the thickened lithosphere, lithospheric thinning, asthenosphere upwelling, and crust-mantle interaction. | YAN Jun LIU HaiQuan SONG ChuanZhong XU XiSheng AN YaJun LIU Jia DAI LiQun | 2009 | Chinese Science Bulletin2009，54，16： | 20 |
| 2 | Research on a soft-measurement model of gasification temperature based on recurrent neural network显示文摘Gasification temperature measurement is one of the most challenging tasks in an entrained-flow gasifier and often requires indirect calculation using the soft-sensor method,a parameter prediction method using other parameters that are more easily measurable and using correlation equations that are widely accepted in the gasification field for the temperature data.Machine learning is a non-linear prediction method that can adequately act as a soft sensor.Furthermore,the recurrent neural network(RNN)has the function of memorization,which makes it capable of learning how to deal with temporal order.In this paper,the oxygen-coal ratio,CH_(4)content and CO_(2)content determined through the process analysis of a 3000-t/d coal-water slurry gasifier are used as input parameters for the soft sensor of the gasification temperature.The RNN model and back propagation(BP)neural network model are then established with training-set data from gasification results.Compared with prediction set data from the gasification results,the RNN model is found to be much better than the BP neural network based on important indexes such as the mean square error(MSE),mean absolute error(MAE)and standard deviation(SD).The results show that the MSE of the prediction set of the RNN model is 6.25℃,the MAE is 10.33℃and the SD is 3.88℃,respectively.The overall accuracy,the average accuracy and the stability effects are well within the accepted ranges for the results as such. | Haiquan An Xinhui Fang Zhen Liu Ye Li | 2022 | Clean Energy2022，6，1： | 2 |
| 3 | SeCEE: Edge Environment Data Sharing and Processing Framework with Service Composition显示文摘 | Yasu Zhang Haiquan Wang Jiejie Zhao Bo An | 2018 | 国际计算机前沿大会会议论文集2018，，1： | 0 |
| 4 | Discharge characteristics of coal and extraction residue from direct coal liquefaction in partial fluidization silo显示文摘Gasification of extraction residue(ER) from direct coal liquefaction with pulverized coal is an efficient way for the utilization of carbonaceous wastes, which improve the overall efficiency of direct coal liquefaction technology. The discharge characteristics of ER mixing with pulverized coal is important paraments for its gasification process, which is seldom studied in the literature. In this study, the discharge characteristics of the pulverized coal(M1) as well as its mixture with ER(M2) were systematically investigated in an atmospheric pressure partial fluidization silo with different fluidization apparent velocity. It was observed that although M2 is a viscous powder with lower flowability than M1, the mass flow rate of M2 is 65% higher than M1 at the 3.7 mm·s-1apparent gas velocity. M2 exhibits the properties of Geldart A type powder, which improves the mass flow rate and stability of the discharged material. The mass flow rate of both M1 and M2 first increases and then slowly decreases with the increase of apparent gas velocity of the fluidizing air, which means the discharge process of M1 and M2 can be optimized by the apparent gas velocity. | Zhen Liu Haiquan An Jiansheng Zhang | 2022 | Chinese Journal of Chemical Engineering2022，，12： | 0 |
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