目的:通过对《伤寒论》太阳病研究相关文献进行知识图谱分析,归纳其研究发展、研究热点及未来趋势。方法:在中国知网(China national knowledge infrastructure,CNKI)上以“伤寒论”and“太阳病”为主题词进行检索,借助CiteSpace软件对1...目的:通过对《伤寒论》太阳病研究相关文献进行知识图谱分析,归纳其研究发展、研究热点及未来趋势。方法:在中国知网(China national knowledge infrastructure,CNKI)上以“伤寒论”and“太阳病”为主题词进行检索,借助CiteSpace软件对1955-2018年的《伤寒论》太阳病研究相关文献进行知识图谱分析,绘制作者年发文量图、作者共现网络图谱、研究机构共现网络图谱、关键词共现网络图谱。结果:共纳入1367篇研究文献,对知识图谱进行分析,得到《伤寒论》太阳病发文量前5名作者,前10名研究机构,前15位高频关键词和前9位高频聚类关键词。结论:《伤寒论》太阳病研究相关文献发文量逐渐增多,其研究的热度和关注度持续上升,研究热点从《伤寒论》太阳病的基础理论研究向经方应用研究转变。研究作者、机构之间的合作不够密切,应加强不同地区研究机构的合作,进一步深化与拓展对《伤寒论》太阳病的研究。展开更多
A method of retrieving PM10 particles concentrations at the ground level from AOT (Aerosol Optical Thickness) measurements is presented. It uses data obtained among five years during 2003 to 2007 summers in the Lille ...A method of retrieving PM10 particles concentrations at the ground level from AOT (Aerosol Optical Thickness) measurements is presented. It uses data obtained among five years during 2003 to 2007 summers in the Lille region (northern France). As PM10 concentration strongly depends on meteorological variables, we clustered the meteorological situations provided by the MM5 meteorological model forced at the lateral boundaries by the operational NCEP model in eight classes (local weather types) for which a robust statistical relationship between AOT and PM10 was found. The meteorological situations were defined by the hourly vertical profiles of temperature and (zonal and meridian) wind components. The clustering of the weather types were obtained by a self-organizing map (SOM) followed by a hierarchical ascending classification (HAC). We were then able to retrieve the PM10 at the surface from the AERONET AOT measurements for each weather type by doing non linear regressions with dedicated SOMs. The method is general and could be extended to other regions. We analyzed the strong pollution event that occurred during August 2003 heat wave. Comparison of the results from our method with the output of the CHIMERE chemical-transport model showed the interest to tentatively combine these two pieces of information to improve particle pollution alert.展开更多
文摘目的:通过对《伤寒论》太阳病研究相关文献进行知识图谱分析,归纳其研究发展、研究热点及未来趋势。方法:在中国知网(China national knowledge infrastructure,CNKI)上以“伤寒论”and“太阳病”为主题词进行检索,借助CiteSpace软件对1955-2018年的《伤寒论》太阳病研究相关文献进行知识图谱分析,绘制作者年发文量图、作者共现网络图谱、研究机构共现网络图谱、关键词共现网络图谱。结果:共纳入1367篇研究文献,对知识图谱进行分析,得到《伤寒论》太阳病发文量前5名作者,前10名研究机构,前15位高频关键词和前9位高频聚类关键词。结论:《伤寒论》太阳病研究相关文献发文量逐渐增多,其研究的热度和关注度持续上升,研究热点从《伤寒论》太阳病的基础理论研究向经方应用研究转变。研究作者、机构之间的合作不够密切,应加强不同地区研究机构的合作,进一步深化与拓展对《伤寒论》太阳病的研究。
文摘A method of retrieving PM10 particles concentrations at the ground level from AOT (Aerosol Optical Thickness) measurements is presented. It uses data obtained among five years during 2003 to 2007 summers in the Lille region (northern France). As PM10 concentration strongly depends on meteorological variables, we clustered the meteorological situations provided by the MM5 meteorological model forced at the lateral boundaries by the operational NCEP model in eight classes (local weather types) for which a robust statistical relationship between AOT and PM10 was found. The meteorological situations were defined by the hourly vertical profiles of temperature and (zonal and meridian) wind components. The clustering of the weather types were obtained by a self-organizing map (SOM) followed by a hierarchical ascending classification (HAC). We were then able to retrieve the PM10 at the surface from the AERONET AOT measurements for each weather type by doing non linear regressions with dedicated SOMs. The method is general and could be extended to other regions. We analyzed the strong pollution event that occurred during August 2003 heat wave. Comparison of the results from our method with the output of the CHIMERE chemical-transport model showed the interest to tentatively combine these two pieces of information to improve particle pollution alert.
