In this paper, the resources of Codonopsis convolvulacea subsp. Vinciflora in 13 counties of Tibet were investigated and analyzed by field investigation, sample point-sample set-sample survey, market investigation and...In this paper, the resources of Codonopsis convolvulacea subsp. Vinciflora in 13 counties of Tibet were investigated and analyzed by field investigation, sample point-sample set-sample survey, market investigation and expert visit. The results showed that among the 13 counties, the distribution area of C. convolvulacea ranked as Gongbujiangda County 〉 Zuogong County 〉 Milin County 〉 Mozhugongka County 〉 Lang County 〉 Duilongdeqing County 〉 Chayu County=Jiali County= Mangkang County=Dingqing County=Baqing County=Suo County=Nimu County. The Gongbujiangda County showed the largest distribution, while Zuogong County and Milin County showed relatively small distribution. Chayu County, Jiali County, Mangkang County, Dingqing County, Baqing County, Suo County and Nimu County showed no distribution. The average plant dry weight C. convolvulacea ranked as Duilongdeqing County 〉 Lang County, Gongbujiangda County 〉Milin County 〉Chayu County =Jiali County =Zuogong County =Mangkang County =Dingqing County =Baqing County=Suo County=Mozhugongka County=Nimu County. Among them, Duilongdeqing County showed the largest average plant dry weight. The average plant dry weight of C. convolvulacea in Chayu County, Jiali County, Zuogong County, Mangkang County, Dingqing County, Baqing County, Suo County, Mozhugongka County and Nimu County was all 0 g. The order of biomass of C. convolvulacea in the 13 counties was Mozhugongka County 〉Duilongdeqing County 〉 Lang County 〉 Gongbujiangda County 〉Milin County 〉Zuogong County 〉Dingqing County =Jiali County=Mangkang County=Chayu County=Nimu County=Suo County=Baqing County. Mozhugongka County showed the largest biomass, while the biomass of C. convolvulacea in Dingqing County, Jiali County, Mangkang County, Chayu County, Nimu County, Suo County and Baqing County was all 0 t. The reserve of C. convolvulacea is determined by distribution area habitat and its own growth. In the 13 counties, the reserve of C. convolvulacea ranked as Gongbujiangda County 〉Mozhugongka County 〉 Lang County 〉Zuogong County 〉Milin County 〉Duilongdeqing County 〉Dingqing County=Jiali County=Mangkang County=Chayu County=Nimu County=Suo County=Baqing County. The reserve of C. convolvulacea was biggest in Gongbujiangda County and was relatively small in Dingqing County, Jiali County, Mangkang County, Chayu County, Nimu County, Suo County and Baqing County. Targeting at the problems existing in the utilization of C. convolvulacea, some suggestions are put forward, such as establishment of reserve for medicinal plant ecological industry, artificial cultivation, renewing concept and rational exploitation and utilization. In this paper, the resource characteristics and sustainable utilization of Tibetan medicinal plants were studied so as to provide a theoretical basis for the rational development and utilization of C. convolvulacea in the region.展开更多
The characteristic databases in China face issues such as narrow resource coverage,low levels of standardization and normalization,and limited data sharing.To address these challenges,this paper proposes the concept o...The characteristic databases in China face issues such as narrow resource coverage,low levels of standardization and normalization,and limited data sharing.To address these challenges,this paper proposes the concept of characteristic databases alliance,using marine characteristic databases as a case for feasibility analysis and discussion.The paper outlines the development path for such alliances and offers recommendations for future growth,aiming to establish a collaborative platform for the development of characteristic databases.展开更多
In the process of green and smart mine construction under the context of carbon neutrality,China's coal safety situation has been continuously improved in recent years.In order to recognize the development of coal...In the process of green and smart mine construction under the context of carbon neutrality,China's coal safety situation has been continuously improved in recent years.In order to recognize the development of coal production in China and prepare for future monitoring and prevention of safety incidents,this study mainly elaborated on the basic situation of coal resources and national mining accidents over the past five years(2017-2021),from four dimensions(accident level,type,region,and time),and then proposed the preventive measures based on accident statistical laws.The results show that the storage of coal resources has obvious geographic characteristics,mainly concentrated in the Midwest,with coal resources in Shanxi and Shaanxi accounting for about 49.4%.The proportion of coal consumption has dropped from 70.2%to 56%between 2011 and 2021,but still accounts for more than half of the all.Meanwhile,the accident-prone areas are positively correlated with the amount of coal production.Among different levels of coal mine accidents,general accidents had the highest number of accidents and deaths,with 692 accidents and 783 deaths,accounting for 87.6%and 54.64%respectively.The frequency of roof,gas,and transportation accidents is relatively high,and the number of single fatalities caused by gas accidents is the largest,about 4.18.In terms of geographical distribution of accidents,the safety situation in Shanxi Province is the most severe.From the time distribution of coal mine accidents,the accidents mainly occurred in July and August,and rarely occurred in February and December.Finally,the"4+4"safety management model is proposed,combining the statistical results with coal production in China.Based on the existing health and safety management systems,the manage-ments are divided into four sub-categories,and more specific measures are suggested.展开更多
A joint statistical model of wind speed and wind shear is critical for height-dependent wind resource characteristic analysis.However,given the different atmospheric conditions that may be involved,the statistical dis...A joint statistical model of wind speed and wind shear is critical for height-dependent wind resource characteristic analysis.However,given the different atmospheric conditions that may be involved,the statistical distribution of the two variables may show multimodal characteristics.In this work,a finite mixture bivariate statistical model was designed to describe the statistical properties,which is composed of several components,each with a Weibull distribution and a normal distribution for wind speed and wind shear,respectively,with a Gaussian copula to describe the dependency structure between the two variables.To confirm the developed model,reanalysis data from six positions in the coastal sea areas of China were used.Our results disclosed that the developed joint statistical model can accurately capture the different multimodal structures presented in all the bivariate samples under mixed atmospheric conditions,giving acceptable predictions of the joint probability distributions.Proper consideration of wind shear coefficient variation is crucial in estimating height-dependent wind resource characteristics.Importantly,unlike traditional methods that are limited to specific hub heights,the model developed here can estimate wind energy potential across different hub heights,enhancing the economic viability assessment of wind power projects.展开更多
With the changing times, 3D printing technology has been effectively popularized in peoples daily life, and gradually entered into education. 3D printing technology is mainly based on the printing of digital model fil...With the changing times, 3D printing technology has been effectively popularized in peoples daily life, and gradually entered into education. 3D printing technology is mainly based on the printing of digital model files, and it is effective to finalize the design by using powdered metal or adhesive materials such as materials, and to print the structure of objects through different layers of objects. With the "Notice on Promulgating the Professional Catalogue of National Technical Colleges (revised in 2018)" issued by the Ministry of Human Resources and Social Security in 2018, 3D printing technology is applied to professional teaching. And actively carry out effective research on the characteristic teaching resources contained in 3D printing technology. This paper mainly focuses on Korean translation teaching and effectively develops and studies the characteristic teaching resources of 3D printing technology application specialty in Korean translation teaching.展开更多
China has widely distributed silver deposits,and is rich in silver resources.Although silver deposits are mainly associated with Pb-Zn deposits,a number of independent silver deposits have also been discovered in rece...China has widely distributed silver deposits,and is rich in silver resources.Although silver deposits are mainly associated with Pb-Zn deposits,a number of independent silver deposits have also been discovered in recent years.Silver deposits include different types,such as submarine volcanism and continental volcanism related type,intrusion related type,and sedimentary related type.This study summarized the metallogenic regularity of China＇s silver deposits systematically based mainly on the data from 490 silver deposits.It is shown that submarine volcanic sedimentary type,continental volcanic or sub-volcanic type,skarn type,hydrothermal type（including vein type and stratabound type）,sedimentary metamorphic type,sedimentary type and regolith type should be regarded as the most important prediction types of silver deposit.A total of 32 silver mineralization belts and 111 silver concentration areas have been delineated.The map of ＂Spatial distribution of silver mineralization belts in China＂ and other series of maps finished in this study may provide a theoretical basis for the evaluation and prognosis of silver resources potential in China.展开更多
Tungsten ore resources are abundant in China with relatively complete types of deposits. Skarn type and quartz vein type deposits are dominated in the tungsten resources, whereas quartz vein type wolframite deposits a...Tungsten ore resources are abundant in China with relatively complete types of deposits. Skarn type and quartz vein type deposits are dominated in the tungsten resources, whereas quartz vein type wolframite deposits are most important in terms of exploitation and utilization. Skarn type tungsten deposits are concentratedly distributed in the central Nanling region, such as South Hunan, South Anhui and the eastern Qinling region, while quartz vein type tungsten deposits occur mainly in South China, such as West Fujian, South Jiangxi, North Guangdong and South Hunan. The most important metallogenic epoch of tungsten is the Mesozoic, while the metallogenic tectonic setting is featured by an intracontinental environment after orogeny with sever tectonic movements, deep-seated faults and frequent magmatic activities, especially Mesozoic granitoids closely related to tungsten-tin mineralization. 22 metallogenic series of ore deposits characterized by or significantly related to tungsten were defined based on precise statistic information of 1199 tungsten mining areas and thorough the summary of metallogenic regularities. Based on studies of the metallogenic regularity of tungsten deposits, skarn type （or greisen type）, quartz vein type and massif-type of tungsten deposits are thought to be the key prediction types. 65 tungsten-forming belts and 22 key ore concentration areas were ascertained and a distribution map of tungsten-forming belts of China was compiled, which provided a theoretical basis for evaluation and prediction of potential tungsten resources.展开更多
The research on tight oil becomes another hotspot in the field of unconventional oil and gas after the boom of shale gas.The global recoverable resources of tight oil are estimated to be around 47.3×10^(9)t.In re...The research on tight oil becomes another hotspot in the field of unconventional oil and gas after the boom of shale gas.The global recoverable resources of tight oil are estimated to be around 47.3×10^(9)t.In recent years,significant progress has been made in the technologies of tight oil exploration and development in North America,thus stimulating the dramatic increase of tight oil production.Meanwhile,China has also acquired remarkable achievements in tight oil exploration.Mature assessment methods have been established for tight oil resources by the US,generally dominated by analogy and statistical methods with their own advantages and disadvantages as well as applicable conditions.In China,improvement of resource evaluation techniques becomes an urgent issue in increasing tight oil reserve and production.This study mainly discusses the resource evaluation methods and resource enrichment characteristics of tight oil.Seven kinds of assessment methods in three categories(i.e.,analogy,statistical and genetic method)and evaluation parameters have been preliminary established,and are specifically applied in the Sichuan,Ordos,Songliao,Junggar,Bohai Bay and other tight oil basins through the newly hierarchical resource abundance analogy method,the estimated ultimate recovery(EUR)analogy method and the small-cell volumetric method.The preliminary evaluation results reveal that China has great potential in tight oil resource,and the geological resources amount to 20×10^(9)t,providing a resource base for large-scale development.展开更多
基金Supported by the Fourth National Census of Traditional Chinese Medicine Resources(20120716-540000)Program for Research on Humanities and Social Sciences in Colleges and Universities of Tibet Autonomous Region(sk2015-34)Construction Project for Tibet Characteristic Agriculture and Animal Husbandry Resources R&D Collaborative Innovation Center(2014-2015)~~
文摘In this paper, the resources of Codonopsis convolvulacea subsp. Vinciflora in 13 counties of Tibet were investigated and analyzed by field investigation, sample point-sample set-sample survey, market investigation and expert visit. The results showed that among the 13 counties, the distribution area of C. convolvulacea ranked as Gongbujiangda County 〉 Zuogong County 〉 Milin County 〉 Mozhugongka County 〉 Lang County 〉 Duilongdeqing County 〉 Chayu County=Jiali County= Mangkang County=Dingqing County=Baqing County=Suo County=Nimu County. The Gongbujiangda County showed the largest distribution, while Zuogong County and Milin County showed relatively small distribution. Chayu County, Jiali County, Mangkang County, Dingqing County, Baqing County, Suo County and Nimu County showed no distribution. The average plant dry weight C. convolvulacea ranked as Duilongdeqing County 〉 Lang County, Gongbujiangda County 〉Milin County 〉Chayu County =Jiali County =Zuogong County =Mangkang County =Dingqing County =Baqing County=Suo County=Mozhugongka County=Nimu County. Among them, Duilongdeqing County showed the largest average plant dry weight. The average plant dry weight of C. convolvulacea in Chayu County, Jiali County, Zuogong County, Mangkang County, Dingqing County, Baqing County, Suo County, Mozhugongka County and Nimu County was all 0 g. The order of biomass of C. convolvulacea in the 13 counties was Mozhugongka County 〉Duilongdeqing County 〉 Lang County 〉 Gongbujiangda County 〉Milin County 〉Zuogong County 〉Dingqing County =Jiali County=Mangkang County=Chayu County=Nimu County=Suo County=Baqing County. Mozhugongka County showed the largest biomass, while the biomass of C. convolvulacea in Dingqing County, Jiali County, Mangkang County, Chayu County, Nimu County, Suo County and Baqing County was all 0 t. The reserve of C. convolvulacea is determined by distribution area habitat and its own growth. In the 13 counties, the reserve of C. convolvulacea ranked as Gongbujiangda County 〉Mozhugongka County 〉 Lang County 〉Zuogong County 〉Milin County 〉Duilongdeqing County 〉Dingqing County=Jiali County=Mangkang County=Chayu County=Nimu County=Suo County=Baqing County. The reserve of C. convolvulacea was biggest in Gongbujiangda County and was relatively small in Dingqing County, Jiali County, Mangkang County, Chayu County, Nimu County, Suo County and Baqing County. Targeting at the problems existing in the utilization of C. convolvulacea, some suggestions are put forward, such as establishment of reserve for medicinal plant ecological industry, artificial cultivation, renewing concept and rational exploitation and utilization. In this paper, the resource characteristics and sustainable utilization of Tibetan medicinal plants were studied so as to provide a theoretical basis for the rational development and utilization of C. convolvulacea in the region.
文摘The characteristic databases in China face issues such as narrow resource coverage,low levels of standardization and normalization,and limited data sharing.To address these challenges,this paper proposes the concept of characteristic databases alliance,using marine characteristic databases as a case for feasibility analysis and discussion.The paper outlines the development path for such alliances and offers recommendations for future growth,aiming to establish a collaborative platform for the development of characteristic databases.
基金supported by the National Key R&D Program of China (2022YFC3004701)the National Natural Science Foundation of China (52274242,51904293)+1 种基金the Natural Science Foundation of Jiangsu Province (BK20190627)the China Postdoctoral Science Foundation (2019M661998).
文摘In the process of green and smart mine construction under the context of carbon neutrality,China's coal safety situation has been continuously improved in recent years.In order to recognize the development of coal production in China and prepare for future monitoring and prevention of safety incidents,this study mainly elaborated on the basic situation of coal resources and national mining accidents over the past five years(2017-2021),from four dimensions(accident level,type,region,and time),and then proposed the preventive measures based on accident statistical laws.The results show that the storage of coal resources has obvious geographic characteristics,mainly concentrated in the Midwest,with coal resources in Shanxi and Shaanxi accounting for about 49.4%.The proportion of coal consumption has dropped from 70.2%to 56%between 2011 and 2021,but still accounts for more than half of the all.Meanwhile,the accident-prone areas are positively correlated with the amount of coal production.Among different levels of coal mine accidents,general accidents had the highest number of accidents and deaths,with 692 accidents and 783 deaths,accounting for 87.6%and 54.64%respectively.The frequency of roof,gas,and transportation accidents is relatively high,and the number of single fatalities caused by gas accidents is the largest,about 4.18.In terms of geographical distribution of accidents,the safety situation in Shanxi Province is the most severe.From the time distribution of coal mine accidents,the accidents mainly occurred in July and August,and rarely occurred in February and December.Finally,the"4+4"safety management model is proposed,combining the statistical results with coal production in China.Based on the existing health and safety management systems,the manage-ments are divided into four sub-categories,and more specific measures are suggested.
基金supported by the Key R&D Program of Shandong Province,China(No.2021ZLGX04)the National Natural Science Foundation of China(No.52171284)。
文摘A joint statistical model of wind speed and wind shear is critical for height-dependent wind resource characteristic analysis.However,given the different atmospheric conditions that may be involved,the statistical distribution of the two variables may show multimodal characteristics.In this work,a finite mixture bivariate statistical model was designed to describe the statistical properties,which is composed of several components,each with a Weibull distribution and a normal distribution for wind speed and wind shear,respectively,with a Gaussian copula to describe the dependency structure between the two variables.To confirm the developed model,reanalysis data from six positions in the coastal sea areas of China were used.Our results disclosed that the developed joint statistical model can accurately capture the different multimodal structures presented in all the bivariate samples under mixed atmospheric conditions,giving acceptable predictions of the joint probability distributions.Proper consideration of wind shear coefficient variation is crucial in estimating height-dependent wind resource characteristics.Importantly,unlike traditional methods that are limited to specific hub heights,the model developed here can estimate wind energy potential across different hub heights,enhancing the economic viability assessment of wind power projects.
文摘With the changing times, 3D printing technology has been effectively popularized in peoples daily life, and gradually entered into education. 3D printing technology is mainly based on the printing of digital model files, and it is effective to finalize the design by using powdered metal or adhesive materials such as materials, and to print the structure of objects through different layers of objects. With the "Notice on Promulgating the Professional Catalogue of National Technical Colleges (revised in 2018)" issued by the Ministry of Human Resources and Social Security in 2018, 3D printing technology is applied to professional teaching. And actively carry out effective research on the characteristic teaching resources contained in 3D printing technology. This paper mainly focuses on Korean translation teaching and effectively develops and studies the characteristic teaching resources of 3D printing technology application specialty in Korean translation teaching.
基金funded by the Chinese Geological Survey(Grant no.12120114039601,1212011121037,1212011220369)
文摘China has widely distributed silver deposits,and is rich in silver resources.Although silver deposits are mainly associated with Pb-Zn deposits,a number of independent silver deposits have also been discovered in recent years.Silver deposits include different types,such as submarine volcanism and continental volcanism related type,intrusion related type,and sedimentary related type.This study summarized the metallogenic regularity of China＇s silver deposits systematically based mainly on the data from 490 silver deposits.It is shown that submarine volcanic sedimentary type,continental volcanic or sub-volcanic type,skarn type,hydrothermal type（including vein type and stratabound type）,sedimentary metamorphic type,sedimentary type and regolith type should be regarded as the most important prediction types of silver deposit.A total of 32 silver mineralization belts and 111 silver concentration areas have been delineated.The map of ＂Spatial distribution of silver mineralization belts in China＂ and other series of maps finished in this study may provide a theoretical basis for the evaluation and prognosis of silver resources potential in China.
基金supported by the National Natural Science Foundation (Grant No.41202025,41302058)Funds on Basic Researches for Central Public Welfare Academic Institutes (Grant No.ZS1103,K1325,YK1401)the Chinese Geological Survey Project--Geology of Mineral Resources in China (No.1212011220369,1212010633903,12120114039601 and 1212011121037)
文摘Tungsten ore resources are abundant in China with relatively complete types of deposits. Skarn type and quartz vein type deposits are dominated in the tungsten resources, whereas quartz vein type wolframite deposits are most important in terms of exploitation and utilization. Skarn type tungsten deposits are concentratedly distributed in the central Nanling region, such as South Hunan, South Anhui and the eastern Qinling region, while quartz vein type tungsten deposits occur mainly in South China, such as West Fujian, South Jiangxi, North Guangdong and South Hunan. The most important metallogenic epoch of tungsten is the Mesozoic, while the metallogenic tectonic setting is featured by an intracontinental environment after orogeny with sever tectonic movements, deep-seated faults and frequent magmatic activities, especially Mesozoic granitoids closely related to tungsten-tin mineralization. 22 metallogenic series of ore deposits characterized by or significantly related to tungsten were defined based on precise statistic information of 1199 tungsten mining areas and thorough the summary of metallogenic regularities. Based on studies of the metallogenic regularity of tungsten deposits, skarn type （or greisen type）, quartz vein type and massif-type of tungsten deposits are thought to be the key prediction types. 65 tungsten-forming belts and 22 key ore concentration areas were ascertained and a distribution map of tungsten-forming belts of China was compiled, which provided a theoretical basis for evaluation and prediction of potential tungsten resources.
基金This work was funded by Major Scientific and Technological Project of PetroChina(Grant No.2014E-050202).
文摘The research on tight oil becomes another hotspot in the field of unconventional oil and gas after the boom of shale gas.The global recoverable resources of tight oil are estimated to be around 47.3×10^(9)t.In recent years,significant progress has been made in the technologies of tight oil exploration and development in North America,thus stimulating the dramatic increase of tight oil production.Meanwhile,China has also acquired remarkable achievements in tight oil exploration.Mature assessment methods have been established for tight oil resources by the US,generally dominated by analogy and statistical methods with their own advantages and disadvantages as well as applicable conditions.In China,improvement of resource evaluation techniques becomes an urgent issue in increasing tight oil reserve and production.This study mainly discusses the resource evaluation methods and resource enrichment characteristics of tight oil.Seven kinds of assessment methods in three categories(i.e.,analogy,statistical and genetic method)and evaluation parameters have been preliminary established,and are specifically applied in the Sichuan,Ordos,Songliao,Junggar,Bohai Bay and other tight oil basins through the newly hierarchical resource abundance analogy method,the estimated ultimate recovery(EUR)analogy method and the small-cell volumetric method.The preliminary evaluation results reveal that China has great potential in tight oil resource,and the geological resources amount to 20×10^(9)t,providing a resource base for large-scale development.
