针对CQG2000精度无法满足实际工作的情况,提出一种新的重力似大地水准面与GPS水准的拟合方法——残差模型法,利用CQG2000、较密集的GPS水准点,采用残差模型法建立吉林省西部地区似大地水准面模型(Jilin west quasi-geoid,JLWQG)。论述建...针对CQG2000精度无法满足实际工作的情况,提出一种新的重力似大地水准面与GPS水准的拟合方法——残差模型法,利用CQG2000、较密集的GPS水准点,采用残差模型法建立吉林省西部地区似大地水准面模型(Jilin west quasi-geoid,JLWQG)。论述建立JLWQG的三角剖分双线性内插算法及其适用性,检测结果表明,JLWQG精度达到了±0.05m,JLWQG在吉林省西部地区基础测绘更新工作中进行了大面积的应用,取得了满意的结果。展开更多
Objective To investigate the impact of meteorological conditions and PM2.5 on the onset of acute aortic dissection in monsoonal climate. Methods A linear regression analysis was performed in monsoonal climate epidemio...Objective To investigate the impact of meteorological conditions and PM2.5 on the onset of acute aortic dissection in monsoonal climate. Methods A linear regression analysis was performed in monsoonal climate epidemiological survey for a period of four years on the impact of meteorological factors （minimal temperature, mean temperature, maximal temperature, average daily surface temperature, day temperature range, relative humidity, mean wind speed, and atmospheric pressure） and PM2.5 concentration on the daily incidences of acute aortic dissections. Meteorological variables and PM2.5 concentration were retrieved on a daily basis from Beijing Regional Climate Center and the Ministry of Environmental Protection of the People’s Republic of China’s website, and the daily incidences of acute aortic dissections were retrieved from the Clinical Data Analysis and Reporting System in the Emergency and Critical Care Center of Beijing Anzhen Hospital. Results During the study period （from January 2011 to December 2014）, 1164 patients were identified as having acute aortic dissections. The corresponding incidences in spring and autumn were 0.96 and 1.00, respectively, which significantly higher than that in summer and winter. The incidences of acute aortic dissection in a day could be predicted by diurnal temperature range （DTR） using the following linear multiple regression models： incidences of acute aortic dissection = 0.543 ＋ 0.025 × DTR. Conclusion This is the first study to show an attributable effect of DTR on acute aortic events in monsoonal climate. Our study confirms that meteorological variables were important factors influencing the incidence of acute aortic dissection.展开更多
文摘针对CQG2000精度无法满足实际工作的情况,提出一种新的重力似大地水准面与GPS水准的拟合方法——残差模型法,利用CQG2000、较密集的GPS水准点,采用残差模型法建立吉林省西部地区似大地水准面模型(Jilin west quasi-geoid,JLWQG)。论述建立JLWQG的三角剖分双线性内插算法及其适用性,检测结果表明,JLWQG精度达到了±0.05m,JLWQG在吉林省西部地区基础测绘更新工作中进行了大面积的应用,取得了满意的结果。
基金This study was supported by National Science Foundation Council of China （No.81700383）, Jilin Provincial Industrial Innovation Special Fund Project （No.2016C041）, Beijing Natural Science Foundation of China （8152019）, Beijing Municipal Science and Technology of Chinese Medicine Development Funds Youth Research Project （No. QN2016-20）, and Basic-Clinical Scientific Research Cooperation of Capital Medical University fund （No.17JL72）. The authors declare no conflict of interest.
文摘Objective To investigate the impact of meteorological conditions and PM2.5 on the onset of acute aortic dissection in monsoonal climate. Methods A linear regression analysis was performed in monsoonal climate epidemiological survey for a period of four years on the impact of meteorological factors （minimal temperature, mean temperature, maximal temperature, average daily surface temperature, day temperature range, relative humidity, mean wind speed, and atmospheric pressure） and PM2.5 concentration on the daily incidences of acute aortic dissections. Meteorological variables and PM2.5 concentration were retrieved on a daily basis from Beijing Regional Climate Center and the Ministry of Environmental Protection of the People’s Republic of China’s website, and the daily incidences of acute aortic dissections were retrieved from the Clinical Data Analysis and Reporting System in the Emergency and Critical Care Center of Beijing Anzhen Hospital. Results During the study period （from January 2011 to December 2014）, 1164 patients were identified as having acute aortic dissections. The corresponding incidences in spring and autumn were 0.96 and 1.00, respectively, which significantly higher than that in summer and winter. The incidences of acute aortic dissection in a day could be predicted by diurnal temperature range （DTR） using the following linear multiple regression models： incidences of acute aortic dissection = 0.543 ＋ 0.025 × DTR. Conclusion This is the first study to show an attributable effect of DTR on acute aortic events in monsoonal climate. Our study confirms that meteorological variables were important factors influencing the incidence of acute aortic dissection.
