Global Geology information for contributors

The journal of Global Geology(English Edition) sponsored by the International Center of Geoscience Research and Education in Northeast Asia,Jilin University of China(ISSN 1673-9736,CN22-1371/P).The former name of the journal was the Journal of International Geoscientific Research in Northeast Asia,which was started in 1998 and served the scientists and teachers in geosciences in the world.The Editorial Board is composed of 42 scientists from various countries in the world,including China,German,Japan,Korea,Russia,the UK and USA.

Global Geology information for contributors

The journal of Global Geology (English Edition) sponsored by the International Center of Geoscience Research and Education in Northeast Asia, Jilin University of China(ISSN 1673-9736 CN22-1371/P). The former name of the journal was the Journal of International Geoscientific Research in Northeast Asia, which was started in 1998 and served the scientists and teachers in geosciences in the world. The Editorial Board is composed of 42 scientists from various countries in the world including China, German, Japan, Korea, Russia, the UK and USA. The journal was biannually in publication from 1998 to 2007. It is changed quarterly in publication since 2008. We hope that the readers worldwide will be more interested in and continue to support our journal by papers contributed to the journal. Form of manuscriptManuscripts should be concise and consistent in style, spelling, and the use of abbreviations. Authors should submit their manuscripts in English. The title page should include: the title, the names of the authors and their affiliations. If possible, please use the "Times New Roman" font. References In the text, reference to the literature cited should list author's name, year of publication, title, source, volume (issue) and page.

Developing a Geological Management Information System: National Important Mining Zone Database

Geo-data is a foundation for the prediction and assessment of ore resources, so managing and making full use of those data, including geography database, geology database, mineral deposits database, aeromagnetics database, gravity database, geochemistry database and remote sensing database, is very significant. We developed national important mining zone database （NIMZDB） to manage 14 national important mining zone databases to support a new round prediction of ore deposit. We found that attention should be paid to the following issues： ① data accuracy： integrity, logic consistency, attribute, spatial and time accuracy; ② management of both attribute and spatial data in the same system;③ transforming data between MapGIS and ArcGIS; ④ data sharing and security; ⑤ data searches that can query both attribute and spatial data. Accuracy of input data is guaranteed and the search, analysis and translation of data between MapGIS and ArcGIS has been made convenient via the development of a checking data module and a managing data module based on MapGIS and ArcGIS. Using AreSDE, we based data sharing on a client/server system, and attribute and spatial data are also managed in the same system.

GIS-Based Highway Geological Hazard Information Management and Decision Support System

Based on the practical application of Geology Information System（GIS） throughout the world, combined with the characters of road＇s geological hazard and it＇s supervision, the paper introduces on the importance of the research on road＇s geological hazards information management and decision-making support system. The paper also analyzes the system＇s target, the principles and key techniques in developing the system. In the research, we developed the GIS-based road＇s geological hazard information management and decision-making support system and applied it to one speedway in the west of China where contains typical geological hazards. The system based on the database of road＇s geological hazard on the grounds of spatial graphic information and attribute information. By virtue of the scientific assessment and prediction mathematical model, integrating the GIS＇s strongpoint on spatial analyzing, the system is capable of visualizing the regionalization of road according to the geological hazards it contains, and accurately assessing and predicting geological hazards, thus efficiently assists the road construction and management units in the decision making on controlling the geological hazards and reducing the related loss.

Application of GIS to Geological Information Extraction

GIS, a powerful tool for processing spatial data, is advantageous in its spatial overlaying. In this paper, GIS is applied to the extraction of geological information. Information associated with mineral resources is chosen to delineate the geo anomalies, the basis of ore forming anomalies and of mineral deposit location. This application is illustrated with an example in Weixi area, Yunnan Province.

Geological information prediction for shield machine using an enhanced multi-head self-attention convolution neural network with two-stage feature extraction

Due to the closed working environment of shield machines,the construction personnel cannot observe the construction geological environment,which seriously restricts the safety and efficiency of the tunneling process.In this study,we present an enhanced multi-head self-attention convolution neural network(EMSACNN)with two-stage feature extraction for geological condition prediction of shield machine.Firstly,we select 30 important parameters according to statistical analysis method and the working principle of the shield machine.Then,we delete the non-working sample data,and combine 10 consecutive data as the input of the model.Thereafter,to deeply mine and extract essential and relevant features,we build a novel model combined with the particularity of the geological type recognition task,in which an enhanced multi-head self-attention block is utilized as the first feature extractor to fully extract the correlation of geological information of adjacent working face of tunnel,and two-dimensional CNN(2dCNN)is utilized as the second feature extractor.The performance and superiority of proposed EMSACNN are verified by the actual data collected by the shield machine used in the construction of a double-track tunnel in Guangzhou,China.The results show that EMSACNN achieves at least 96%accuracy on the test sets of the two tunnels,and all the evaluation indicators of EMSACNN are much better than those of classical AI model and the model that use only the second-stage feature extractor.Therefore,the proposed EMSACNN achieves high accuracy and strong generalization for geological information prediction of shield machine,which is of great guiding significance to engineering practice.

The coal cleat system:A new approach to its study

After a general analysis regarding the concept of coal ＂cleat system＂, its genetic origin and practical applications to coalbed methane （CBM） commercial production and to C02 geological sequestration projects, the authors have developed a method to answer, quickly and accurately in accordance with the industrial practice and needs, the following yet unanswered questions： （1） how to define the spatial orientation of the different classes of cleats presented in a coal seam and （2） how to determine the frequency of their connectivites. The new available and presented techniques to answer these questions have a strong computer based tool （geographic information system, GIS）, able to build a complete georeferentiated database, which will allow to three-dimensionally locate the laboratory samples in the coalfield. It will also allow to better understand the coal cleat system and consequently to recognize the best pathways to gas flow through the coal seam. Such knowledge is considered crucial for understanding what is likely to be the most efficient opening of cleat network, then allowing the injection with the right spatial orientation, of pressurized fluids in order to directly drain the maximum amount of gas flow to a CBM exploitation well. The method is also applicable to the CO2 geological sequestration technologies and operations corresponding to the injection of CO2 sequestered from industrial plants in coal seams of abandoned coal mines or deep coal seams.