研究药用植物当归在全球范围内的生态适宜区和生态特征,根据109个当归样本点和37个生态因子,利用最大信息熵模型(Max Ent)和地理信息系统(Geographic information System,GIS)对其进行全球适宜性区划。结果表明,当归生态适宜区主要集中...研究药用植物当归在全球范围内的生态适宜区和生态特征,根据109个当归样本点和37个生态因子,利用最大信息熵模型(Max Ent)和地理信息系统(Geographic information System,GIS)对其进行全球适宜性区划。结果表明,当归生态适宜区主要集中在北纬20—50°范围内的北美洲、欧洲、亚洲和南纬15—35°范围内的南美洲和非洲,共约593.07万km^2。其中生态相似度最高的区域主要分布在中国甘肃省南部、四川省、西藏自治区东部、云南省北部、贵州省、陕西省西南部等地区,可见中国十分适合当归的种植,是当归的主产区。影响当归地理分布的主要气候因子适宜值范围分别为:最暖季降水量为300—700 mm,最冷季平均温为-3—7℃,降水的季节性数值为70—98;影响当归地理分布的主要土壤因子适宜值范围分别为:碳酸钙含量为50%—60%,粘土比重为17%—24%。研究结果为当归人工引种栽培及精细化种植管理提供参考。展开更多
Rockburst is a dynamic phenomenon accompanied by acoustic emission(AE)activities.It is difficult to predict rockburst accurately.Based on the fast Fourier transform(FFT)method and the information entropy theory,the ev...Rockburst is a dynamic phenomenon accompanied by acoustic emission(AE)activities.It is difficult to predict rockburst accurately.Based on the fast Fourier transform(FFT)method and the information entropy theory,the evolution model of dominant frequency entropy was established.The AE energy,frequency and stress were synthetically considered to predict rockburst.Under the triaxial and the single-face unloading tests,the relationship between AE energy and the development of internal cracks was analyzed.Using the FFT method,the distribution characteristics of AE dominant frequency values were obtained.Based on the information entropy theory,the dominant frequencies evolved patterns were ascertained.It was observed that the evolution models of the dominant frequency entropy were nearly the same and shared a characteristic“undulation-decrease-rise-sharp decrease”pattern.Results show that AE energy will be released suddenly before rockburst.The density of intermediate frequency increased prior to rockburst.The dominant frequency entropy reached a relative maximum value before rockburst,and then decreased sharply.These features could be used as a precursory information for predicting rockburst.The proposed relative maximum value could be as a key point to predict rockburst.This is a meaningful attempt on predicting rockburst.展开更多
文摘研究药用植物当归在全球范围内的生态适宜区和生态特征,根据109个当归样本点和37个生态因子,利用最大信息熵模型(Max Ent)和地理信息系统(Geographic information System,GIS)对其进行全球适宜性区划。结果表明,当归生态适宜区主要集中在北纬20—50°范围内的北美洲、欧洲、亚洲和南纬15—35°范围内的南美洲和非洲,共约593.07万km^2。其中生态相似度最高的区域主要分布在中国甘肃省南部、四川省、西藏自治区东部、云南省北部、贵州省、陕西省西南部等地区,可见中国十分适合当归的种植,是当归的主产区。影响当归地理分布的主要气候因子适宜值范围分别为:最暖季降水量为300—700 mm,最冷季平均温为-3—7℃,降水的季节性数值为70—98;影响当归地理分布的主要土壤因子适宜值范围分别为:碳酸钙含量为50%—60%,粘土比重为17%—24%。研究结果为当归人工引种栽培及精细化种植管理提供参考。
基金Project(2017YFC0804201)supported by the National Key Research and Development Program of ChinaProject(51574246)supported by the National Natural Science Foundation of China+1 种基金Project(2011QZ01)supported by Fundamental Research Funds for the Central Universities,ChinaProject(C201911362)supported by the National Training Program of Innovation and Entrepreneurship for Undergraduates,China。
文摘Rockburst is a dynamic phenomenon accompanied by acoustic emission(AE)activities.It is difficult to predict rockburst accurately.Based on the fast Fourier transform(FFT)method and the information entropy theory,the evolution model of dominant frequency entropy was established.The AE energy,frequency and stress were synthetically considered to predict rockburst.Under the triaxial and the single-face unloading tests,the relationship between AE energy and the development of internal cracks was analyzed.Using the FFT method,the distribution characteristics of AE dominant frequency values were obtained.Based on the information entropy theory,the dominant frequencies evolved patterns were ascertained.It was observed that the evolution models of the dominant frequency entropy were nearly the same and shared a characteristic“undulation-decrease-rise-sharp decrease”pattern.Results show that AE energy will be released suddenly before rockburst.The density of intermediate frequency increased prior to rockburst.The dominant frequency entropy reached a relative maximum value before rockburst,and then decreased sharply.These features could be used as a precursory information for predicting rockburst.The proposed relative maximum value could be as a key point to predict rockburst.This is a meaningful attempt on predicting rockburst.
