According to Rural Poverty Al eviation Development Outline in China （2011-2020） and new impoverished population standards, key poverty-stricken coun-ties increase from 51 to 58 in Gansu, and the impoverished populat...According to Rural Poverty Al eviation Development Outline in China （2011-2020） and new impoverished population standards, key poverty-stricken coun-ties increase from 51 to 58 in Gansu, and the impoverished population from 3.00 mil ion to 13.00 mil ion, and poverty-stricken area from 16% to 80%. Meanwhile, Rural Poverty Al eviation Development Outline in China （2011-2020） describes that poverty al eviation work in China has turned from resolving subsistence issue to consolidating present achievements, speeding up casting off poverty to get rich, im-proving eco-environment and development capacity, and reducing development gap. Confronted by new tasks in the new age, it is necessary to adjust work principles, make summary and develop innovation modes, to explore development mode of poverty al eviation in rural areas in Gansu in new age.展开更多
A method is proposed for the prospecting prediction of subsurface mineral deposits based on soil geochemistry data and a deep convolutional neural network model.This method uses three techniques(window offset,scaling,...A method is proposed for the prospecting prediction of subsurface mineral deposits based on soil geochemistry data and a deep convolutional neural network model.This method uses three techniques(window offset,scaling,and rotation)to enhance the number of training data for the model.A window area is used to extract the spatial distribution characteristics of soil geochemistry and measure their correspondence with the occurrence of known subsurface deposits.Prospecting prediction is achieved by matching the characteristics of the window area of an unknown area with the relationships established in the known area.This method can efficiently predict mineral prospective areas where there are few ore deposits used for generating the training dataset,meaning that the deep-learning method can be effectively used for deposit prospecting prediction.Using soil active geochemical measurement data,this method was applied in the Daqiao area,Gansu Province,for which seven favorable gold prospecting target areas were predicted.The Daqiao orogenic gold deposit of latest Jurassic and Early Jurassic age in the southern domain has more than 105 t of gold resources at an average grade of 3-4 g/t.In 2020,the project team drilled and verified the K prediction area,and found 66 m gold mineralized bodies.The new method should be applicable to prospecting prediction using conventional geochemical data in other areas.展开更多
文摘According to Rural Poverty Al eviation Development Outline in China （2011-2020） and new impoverished population standards, key poverty-stricken coun-ties increase from 51 to 58 in Gansu, and the impoverished population from 3.00 mil ion to 13.00 mil ion, and poverty-stricken area from 16% to 80%. Meanwhile, Rural Poverty Al eviation Development Outline in China （2011-2020） describes that poverty al eviation work in China has turned from resolving subsistence issue to consolidating present achievements, speeding up casting off poverty to get rich, im-proving eco-environment and development capacity, and reducing development gap. Confronted by new tasks in the new age, it is necessary to adjust work principles, make summary and develop innovation modes, to explore development mode of poverty al eviation in rural areas in Gansu in new age.
基金funded by a pilot project entitled“Deep Geological Survey of Benxi-Linjiang Area”(1212011220247)of the 3D Geological Mapping and Deep Geological Survey of China Geological Survey。
文摘A method is proposed for the prospecting prediction of subsurface mineral deposits based on soil geochemistry data and a deep convolutional neural network model.This method uses three techniques(window offset,scaling,and rotation)to enhance the number of training data for the model.A window area is used to extract the spatial distribution characteristics of soil geochemistry and measure their correspondence with the occurrence of known subsurface deposits.Prospecting prediction is achieved by matching the characteristics of the window area of an unknown area with the relationships established in the known area.This method can efficiently predict mineral prospective areas where there are few ore deposits used for generating the training dataset,meaning that the deep-learning method can be effectively used for deposit prospecting prediction.Using soil active geochemical measurement data,this method was applied in the Daqiao area,Gansu Province,for which seven favorable gold prospecting target areas were predicted.The Daqiao orogenic gold deposit of latest Jurassic and Early Jurassic age in the southern domain has more than 105 t of gold resources at an average grade of 3-4 g/t.In 2020,the project team drilled and verified the K prediction area,and found 66 m gold mineralized bodies.The new method should be applicable to prospecting prediction using conventional geochemical data in other areas.
