MESOZOIC-CENOZOIC VOLCANISM AND THE SIGNIFICANCE OF DEEP PROCESSES IN THE BOHAI REGION

Based on data from petrochemistry, trace element geochemistry and isotopic compositions of Mesozoic-Cenozoic volcanic rocks in three basins in the Bohai region, some conclusions can be drawn. In the region. there are three major voIcanic eruption stages with corresponding volcanic rocks in the Mesozoic-Cenozoic. i. e., early Mesozoic dacite (228. 8~ 226. 9 Ma). late Mesozoic basaltic-trachy-andesite, lamprophyre and rhyolite (136. 0~90. 9 Ma). and Cenozoic basa1t (61.0~29. 7 Ma). All the volcanics have undergone different fractional crystallization. Trace elements and isotopic compositions characteristics of the Cenozoic volcanics suggest that they are derived from the asthenosphere, and those of the Mesozoic volcanics show that they are derived from the enriched lithosphere. A model is proposed indicating that the lithosphere-asthenosphere boundary was uplifted, then fell back in the Mesozoic-Cenozoic with the thinning of lithosphere.

High-resolution crustal structure of the Yinchuan basin revealed by deep seismic reflection profiling:implications for deep processes of basin

The Yinchuan basin, located on the western margin of the Ordos block, has the characteristics of an active continental rift. A NW-striking deep seismic reflection profile across the center of Yinchuan basin precisely revealed the fine structure of the crust. The images showed that the crust in the Yinchuan basin was characterized by vertical stratifications along a detachment located at a two-way travel time（TWT） of 8.0 s.The most outstanding feature of this seismic profile was the almost flat Mohorovicˇic′ discontinuity（Moho） and a high-reflection zone in the lower crust. This sub-horizontal Moho conflicts with the general assumption of an uplifted Moho under sedimentary basins and continental rifts, and may indicate the action of different processes at depth during the evolution of sedimentary basins or rifts.We present a possible interpretation of these deep processes and the sub-horizontal Moho. The high-reflection zone, which consists of sheets of high-density, mantlederived materials, may have compensated for crustal thinning in the Yinchuan basin, leading to the formation of a sub-horizontal Moho. These high-density materials may have been emplaced by underplating with mantlesourced magma.

An Energy Saving Glass Deep Processing Line Put into Production in Hubei

On July 16, 2013, the first low-E energy saving glass deep processing line of Hubei Zhongyi Glass Co., Ltd. was put into production in Changyang County of Hubei Province. Low-E glass is a kind of new glass featured with good lighting, thermal insulation, and ultraviolet radiation resistance. So far contracts worth about CNY 50 million have been signed.

Ideas for Accelerating Development of Deep Processing Industry of Agricultural Products--A Case Study of Nanchong City

In order to provide certain references for further deepening the development of processing industry of agricultural products,this paper analyzed and elaborated the basic principles,construction priorities and safeguard measures of the development of deep processing industry of agricultural products in Nanchong City of Sichuan Province. Besides,it made a scientific planning for accelerating the deep processing of agricultural products in Nanchong City in 2018-2020,to ensure the full implementation of fine and deep processing of agricultural products.

GEOCHEMISTRY OF BASALT AND XENOLITHSAND ITSDEEP PROCESSIN DAOXIAN COUNTY,HUNAN PROVINCE

Deep xenolith are important samples for us to know composition and nature of the deep crust. There are many new volcanos which can all kinds of xenoliths such as a lower crustal graulite, and upper mantle derived peridolite and lherzolite. In eastern China, there occured many deep xenoliths in Mesozoic Cenzoic alkaline basalt. Besides these, some small volcanos eruptions were founded in southern Hunan province, which age is about 132-151 Ma. Because there are many kinds of xenoliths in basalt, many geologists paid attention to them. We studied host basalt and its xenoliths in detail, and obtained some new results as follows: Huziyan basalt belongs to the typical alkaline basalt. While the magma erupted out, it took many xenoliths from deep crust and upper mantle. These xenoliths include: mafic granulite, gabbro and feldspar gneiss as well as mantle drived xenoliths such as pyroxenite, peridotite and spinel lherzolite. The age of granulite and gabbro xenoliths is not definite, for example, gabbro age is 1 141±67 Ma, and the age also may be regarded as 224±24 Ma. The author gained new results by using zircon U Pb dating, and the interceptions of the cordia and discordia are 787±30 Ma and 298±27 Ma. The two ages display two geological events respectively, the former is the age of gabbroic magma formation definetly, the later may indicates the metamorphic age of lower crust. Feature parameters of lithophile element of host basalt and xenoliths are different, i.e., host basalt K *=2K N/(Nb N+La N)=2.08>1, which shows the origin area of magma had suffered the metasomatism, its Nb *=2K N/(Nb N+La N)=0.30<1, which shows the magma hybridized with crustal rocks after it erupted; while the lower crust xenoliths (gabbro and granulite) are different, K * and Nb * of gabbro are 0.94 and 0.54. They just displayed basic magma suffered hybridization after it intruded to crust. K * and Nb * of granulite xenolith are 6.4 and 0.25, which also suggested the strong interaction between upper mantle and lower crust. Its mineral inner isochron age is 544±14 Ma, and its ε Nd =-6.6, these results imply that granulite xenolith has been contaminated by crust. The two stage mode age of Nd reequilibrium is 1 766 Ma, so rock forming age is inferred to be the Proterozoic era. From above discussion, it can be concluded that there are several period of magma intrusive events in lower crust, may be regraded as the middle Proterozoic (1 766 Ma), late Proterozoic (787±30 Ma), metamorphism of granulite and metamorphic event of gabbro may suggest there would be magmatic process between mantle and crust in Caledonian (544 Ma±) and early Indosinian (298 Ma±) period. So the author suggests the intrusion of basic magma and its uderplating to lower crust resulted in the overgrowth of continent crust in southern China. It is a kind of vertical accretion which is quite different from lateral overgrowth apparently.

Deep Processes of Basin Evolution:A Case Study of the Southern Songliao Basin and Adjacent Area,NE China in Mesozoic-Cenozoic

In south of the Songliao Basin and adjacent area of NE China, there are several high conductive layers in crust and upper mantle. Those layers are interpreted as detachment and rheology, which represent some features of lithosphere, asthenosphere and Moho, and related to the crust-mantle structure of the continent in the study area. The differences of the crust-mantle structures in different places in the study area reflect the differences in the movement and evolution of asthenosphere, lithosphere and crust. The differences can be summarized as follows. (1) Along the south profile of MT, the buried depth of the surface of Moho is 31 ～34 km beneath the Liaohe Basin and 35～37 km beneath the west Liaoning area. Along the north profile of MT, the buried depth of Moho is 32～33 km beneath Changtu area and 36～37 km beneath Kailu area in southern Songliao Basin. The buried depth beneath the central of the Songliao Basin is 29 km.(2) The difference of thickness of lithosphere exists in the south area and the north area of Chifeng-Kaiyuan fault. The thickness of lithosphere is about 65～120 km in the south of the fault, thickening from east to west. The top surface of asthenosphere is highly uplifted in the Liaohe Basin and the highest point is about 65 km in buried depth. The thickness of lithosphere in the north of the fault is about 60～65 km, thinner about 25 km than that in the south of the fault (West Liaoning). Deep processes such as upwelling of mantle thermal flow, extension of lithosphere, underplating, and thinning and subsidence of crust, evidenced from the crust-mantle structures were the direct forces of the basin formation in the study area during the Mesozoic-Cenozoic.

Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks

Oscillation detection has been a hot research topic in industries due to the high incidence of oscillation loops and their negative impact on plant profitability.Although numerous automatic detection techniques have been proposed,most of them can only address part of the practical difficulties.An oscillation is heuristically defined as a visually apparent periodic variation.However,manual visual inspection is labor-intensive and prone to missed detection.Convolutional neural networks(CNNs),inspired by animal visual systems,have been raised with powerful feature extraction capabilities.In this work,an exploration of the typical CNN models for visual oscillation detection is performed.Specifically,we tested MobileNet-V1,ShuffleNet-V2,Efficient Net-B0,and GhostNet models,and found that such a visual framework is well-suited for oscillation detection.The feasibility and validity of this framework are verified utilizing extensive numerical and industrial cases.Compared with state-of-theart oscillation detectors,the suggested framework is more straightforward and more robust to noise and mean-nonstationarity.In addition,this framework generalizes well and is capable of handling features that are not present in the training data,such as multiple oscillations and outliers.

Deep structure of the Southeast Asian curved subduction system and its dynamic process

The deep structure,material circulation,and dynamic processes in the Southeast Asia have long been an elusive scientific puzzle due to the lack of systematic scientific observations and recognized theoretical models.Based on the deep seismic tomography using long-period natural earthquake data,in this study,the deep structure and material circulation of the curved subduction system in Southeast Asia was studied,and the dynamic processes since 100 million years ago was reconstructed.It is pointed out that challenges still exist in the precise reconstruction of deep mantle structures of the study area,the influence of multi-stage subduction on deep material exchange and shallow magma activity,as well as the spatiotemporal evolution and coupling mechanism of multi-plate convergence.Future work should focus on high-resolution land-sea joint 3-D seismic tomography imaging of the curved subduction system in the Southeast Asia,combined with geochemical analysis and geodynamic modelling works.

Sentiment Analysis of Low-Resource Language Literature Using Data Processing and Deep Learning

Sentiment analysis, a crucial task in discerning emotional tones within the text, plays a pivotal role in understandingpublic opinion and user sentiment across diverse languages.While numerous scholars conduct sentiment analysisin widely spoken languages such as English, Chinese, Arabic, Roman Arabic, and more, we come to grapplingwith resource-poor languages like Urdu literature which becomes a challenge. Urdu is a uniquely crafted language,characterized by a script that amalgamates elements from diverse languages, including Arabic, Parsi, Pashtu,Turkish, Punjabi, Saraiki, and more. As Urdu literature, characterized by distinct character sets and linguisticfeatures, presents an additional hurdle due to the lack of accessible datasets, rendering sentiment analysis aformidable undertaking. The limited availability of resources has fueled increased interest among researchers,prompting a deeper exploration into Urdu sentiment analysis. This research is dedicated to Urdu languagesentiment analysis, employing sophisticated deep learning models on an extensive dataset categorized into fivelabels: Positive, Negative, Neutral, Mixed, and Ambiguous. The primary objective is to discern sentiments andemotions within the Urdu language, despite the absence of well-curated datasets. To tackle this challenge, theinitial step involves the creation of a comprehensive Urdu dataset by aggregating data from various sources such asnewspapers, articles, and socialmedia comments. Subsequent to this data collection, a thorough process of cleaningand preprocessing is implemented to ensure the quality of the data. The study leverages two well-known deeplearningmodels, namely Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), for bothtraining and evaluating sentiment analysis performance. Additionally, the study explores hyperparameter tuning tooptimize the models’ efficacy. Evaluation metrics such as precision, recall, and the F1-score are employed to assessthe effectiveness of the models. The research findings reveal that RNN surpasses CNN in Urdu sentiment analysis,gaining a significantly higher accuracy rate of 91%. This result accentuates the exceptional performance of RNN,solidifying its status as a compelling option for conducting sentiment analysis tasks in the Urdu language.

Study on Eogene Basalts: Implication of the Deep Process over the Bohaiwan Basin Evolution

The present paper describes the characteristics of Cenozoic basalt in the Bohaiwan basin and its implication of the control of deep process over the basin evolution. The large scale Eogene basalts lying on the basement of the Bohaiwan basin belong to alkaline series and subalkaline series. The basalt magma originates at a depth of 48-76 km and a temperature of 1 300-1 400 ℃ with the mantle partial melting degree of 8%-14%. In Eogene period, the rising of the top of asthenosphere from 100-140 km to 50-70 km led to the strong extension and thinning of the overlying lithosphere, which was stretched at an average rate of 0.41 cm/a and the β value from 1.9 to 2.3. At the same time, it triggered the great scale rifting in the earth crust, forming large rift basins.

Magmatism, Deep Processes and Gold Deposits in Eastern Hebei, China

The eastern Hebei Province of China is one of the major concentrating areas of gold mineralization in eastern China, which is an important part of the circum Pacific magmatic tectonic metallogenic belt. There are three types of gold deposits in terms of the characteristics of host rocks. Jinchangyu type gold deposit is situated in the Archean metamorphic basement. Yuerya type gold deposit occurs within the Yanshanian granite. Lengkou (or Wanzhuang ) type gold deposit is located within the covering strata of the Mesoproterozoic dolomitite. These 3 types of gold deposits are very similar in many respects. These deposits formed at Mesozoic and their spatial distribution is closely related to Yanshanian granite. The mineralization characteristics of these gold deposits are very similar. The characteristics of sulfur isotopic and lead isotopic compositions show that the gold deposits in this area are derived from the mantle and deep crust, and are related to Mesozoic magmatism. The gold deposits in this area are believed to be the products of crust mantle exchange and resulted from multistage gold mineralization. Finally a mineralization model of gold deposit in eastern Hebei of China is proposed.

Deep process of the collision and deformation on the northern margin of the Tibetan Plateau:Revelation from investigation of the deep seismic profiles

The seismic investigation achievements from three kinds of methods have revealed the lithospheric structure and the deep process of deformation caused by collision. It is found that convergent collision and deep subduction of the continental lithosphere are in progress along the northern margin of the Tibetan Plateau. The deep process of due collision and deformation is different from that of oblique collision. It is revealed in the study that the deep process of the collision and deformation on the northern margin is different from that on the southern margin of the Tibetan Plateau.

Chinalco Southeast Coast Aluminum Deep Processing Base Started Construction in Fuzhou

At the end of August,Chinalco Southeast Coast Aluminum Deep Processing Base broke ground at the Fujian-Taiwan(Fuzhou)Industrial Park for Blue Economy.Based on Chilco Ruimin(an aluminum processing subsidiary of Chinalco in Fujian Province)as the main body,Chinalco

Trace-element of Tuoyun cli-nopyroxene:Implication for the deep processes of litho-spheric mantle beneath the southwest Tianshan,West China

Based on the LAM-ICPMS analytic results on the trace elements of clinopyroxenes in peridotitic xenoliths occurring in early-Cretaceous basalts from western Xinjiang, the properties and the deep processes, including partial melting and mantle metasomatism, of the subcontinental lithospheric mantle beneath the Tuoyun Basin are analyzed. In the northern edge of the Tarim Basin (southwest Tian-shan), the Mesozoic subcontinental lithosphere which has experienced the effect of partial melting (【10%) and intricate mantle metasomatism is characterized by Phanerozoic ’ocean-type’ mantle. The superposed influence of SiO2-un-saturated silicate melt and carbonate melt probably results in the metasomatic medium which resembles the hydrous silicated carbonate melt in some aspects. By comparing Tuoyun mantle with Cenozoic main mantle beneath eastern China, the properties are similar, while the former shows finer grain and higher diopside content of the peridotites and more conspicuous modal metasomatism.

Deep Tectonic Processes and Superaccumulation of Metals Related to Granitoids in the Nanling MetaUogenic Province,China

The Nanling region is an important nonferrous and rare metal metallogenic province in South China, in which most of the deposits are related to granitoids in genesis. It covers southern Hunan, southern Jiangxi, Guangxi, Guangdong and Fujian provinces, with a total area of about 550,000 km2. This metallogenic province is well known in the world for its rich tungsten and tin resources. In the past 40-odd years, a vast amount of mineral exploration activities and studies of the geology of mineral deposits have been carried out and great achievements obtained in the province. This paper is focused on a discussion about the deep tectonic processes in the orogenic belt during the Mesozoic and their contribution to the superaccumulation of metals. Tectonically, this metallogenic province is composed of three units: (1) the marginal continental orogenic belt in the Southeastern Coast fold system in the Yanshanian; (2) the intercontinental orogenic belt in the collision suture belt between the Yangtze and Cathay-sian plates mainly in the Caledonian; and (3) the intracontinental orogenic belt induced by subduction of the ocean crust and delimination of the mantle lithosphere in the Yanshanian. It is suggested that superaccumulation of metals in this metallogenic province was caused by the existence of mantle rooted tectonics at the depth based on comprehensive studies of geophysical information of seismic, geothermal and magnetotelluric surveys in Nanling and its adjacent areas. The Xihuashan wolframite quartz vein deposit, the Shizhuyuan W, Sn, Mo, Bi greisen-skarn deposit and the Dachang tin-polymetallic deposit are three typical examples of the deep tectonic processes. However, this kind of deep tectonic processes only act as the 'engine' of the superaccumulation of metals, which means that they should have to correspond with the super-crust ore-controlling pattern of 'lines-rows-clusters' (L-R-C). This recog-nization is expected to play an important role in assessment of mineral resources in this province.

Process window diagram of conical cups in hydrodynamic deep drawing assisted by radial pressure

Major defects in forming of conical cups are wrinkles and rupture.Hydrodynamic deep drawing assisted by radial pressure（HDDRP） is a sheet hydroforming process for production of shell cups in one step.In this work,process window diagrams（PWDs） for Al1050-O,pure copper and DIN 1623 St14 steel are obtained for HDDRP process.The PWD is determined to provide a quick assessment of part producibility for sheet hydroforming process.Finite element method is used for this purpose considering the process parameters including pressure path,and the blank material and its thickness.Numerical results are validated by experiments.It is shown that the sheets with less initial thickness and higher strength show better formability and uniformity of thickness distribution on final product.The results demonstrate that the obtained PWD can predict appropriate forming area and probability of rupture or wrinkling occurrence under different pressure loading paths.

Identification of abnormal conditions in high-dimensional chemical process based on feature selection and deep learning

Identification of abnormal conditions is essential in the chemical process.With the rapid development of artificial intelligence technology,deep learning has attracted a lot of attention as a promising fault identification method in chemical process recently.In the high-dimensional data identification using deep neural networks,problems such as insufficient data and missing data,measurement noise,redundant variables,and high coupling of data are often encountered.To tackle these problems,a feature based deep belief networks(DBN)method is proposed in this paper.First,a generative adversarial network(GAN)is used to reconstruct the random and non-random missing data of chemical process.Second,the feature variables are selected by Spearman’s rank correlation coefficient(SRCC)from high-dimensional data to eliminate the noise and redundant variables and,as a consequence,compress data dimension of chemical process.Finally,the feature filtered data is deeply abstracted,learned and tuned by DBN for multi-case fault identification.The application in the Tennessee Eastman(TE)process demonstrates the fast convergence and high accuracy of this proposal in identifying abnormal conditions for chemical process,compared with the traditional fault identification algorithms.

Characterization and evaluation of brittleness of deep bedded sandstone from the perspective of the whole life-cycle evolution process

The quantitative determination and evaluation of rock brittleness are crucial for the estimation of excavation efficiency and the improvement of hydraulic fracturing efficiency.Therefore,a“three-stage”triaxial loading and unloading stress path is designed and proposed.Subsequently,six brittleness indices are selected.In addition,the evolution characteristics of the six brittleness indices selected are characterized based on the bedding effect and the effect of confining pressure.Then,the entropy weight method(EWM)is introduced to assign weight to the six brittleness indices,and the comprehensive brittleness index Bcis defined and evaluated.Next,the new brittleness classification standard is determined,and the brittleness differences between the two stress paths are quantified.Finally,compared with the previous evaluation methods,the rationality of the proposed comprehensive brittleness index Bcis also verified.These results indicate that the proposed brittleness index Bccan reflect the brittle characteristics of deep bedded sandstone from the perspective of the whole life-cycle evolution process.Accordingly,the method proposed seems to offer reliable evaluations of the brittleness of deep bedded sandstone in deep engineering practices,although further validation is necessary.

Geochemical Characteristics of Volcanic Rocks from ODP Site 794,Yamato Basin:Implications for Deep Mantle Processes of the Japan Sea

Deep mantle processes and the dynamic mechanism of magmatism in the Japan Sea Basin are important processes that have not been studied in detail. In this paper, systematic evaluation of basalt samples from the ocean drilling program Site 794 in the Japan Sea was performed, which included petrography, whole-rock major- and trace-element analysis, Sr-Nd-Pb isotopic composition, and electron microprobe analysis of plagioclase and clinopyroxene. These basalts belong to the tholeiitic series with porphyritic texture and massive Ca-rich plagioclase, clinopyroxene, and minor olivine phenocrysts. The basalts are characterized as flat rare earth elements and high-field-strength elements with remarkably low ratios of （La/Yb）N （0.75-2.51）, significant positive anomalies of Ba, Sr, and Rb and no Eu anomaly （dEn = 0.99-1.36）. The samples showed relatively high 87Sr/86Sr （0.70425- 0.70522）, 207pb/204pb （15.511-15.610）, and 208pb/204pb （38.064-38.557） values and a low 143Nd/144Nd ratio （0.51271-0.51295）. The basalts from Site 794 can be divided into upper, middle, and lower volcanic rocks （UVR, MVR, and LVR） on the basis of their stratigraphic level. The MVR was geochemically derived from the depleted mantle, whereas the UVR and LVR originated from a nondepleted and relatively enriched mantle source with contributions from subducted Pacific plate fluid and sediments. Use of geothermobarometers indicates that the crystallization pressure for the UVR and LVR （6.25-11.19 kbar） was significantly higher than that of the MVR （3.48-5.84 kbar）. The UVR and LVR may have been derived from the low-degree （5%-10%） partial melting of spinel lherzolite, while the MVR originated from a shallower mantle source with a high degree （10%-20%） of partial melting. In addition, the geochemical characteristics of the samples are consistent with a younger age （13-17 Ma） and the depleted composition of the MVR and an older age （17-23 Ma） and slightly enriched composition of the UVR and LVR. Therefore, temporal changes in the mantle source from old and enriched to young and depleted and subsequently to old and nondepleted may have been associated with progressive lithospheric extension and thinning, as well as at least two episodes of diverse asthenospheric upwelling and pull-apart tectonic motion in the Yamato Basin.

Numerical simulation study of the failure evolution process and failure mode of surrounding rock in deep soft rock roadways

Based on the safety coefficient method,which assigns rock failure criteria to calculate the rock mass unit,the safety coefficient contour of surrounding rock is plotted to judge the distribution form of the fractured zone in the roadway.This will provide the basis numerical simulation to calculate the surrounding rock fractured zone in a roadway.Using the single factor and multi-factor orthogonal test method,the evolution law of roadway surrounding rock displacements,plastic zone and stress distribution under different conditions is studied.It reveals the roadway surrounding rock burst evolution process,and obtains five kinds of failure modes in deep soft rock roadway.Using the fuzzy mathematics clustering analysis method,the deep soft surrounding rock failure model in Zhujixi mine can be classified and patterns recognized.Compared to the identification results and the results detected by geological radar of surrounding rock loose circle,the reliability of the results of the pattern recognition is verified and lays the foundations for the support design of deep soft rock roadways.