This paper studies the distribution features, the chemical elements beyond standards and the influencing factors of shallow groundwater quality in the Guanzhong Basin through the data monitored in the last twenty year...This paper studies the distribution features, the chemical elements beyond standards and the influencing factors of shallow groundwater quality in the Guanzhong Basin through the data monitored in the last twenty years. The final purpose is to comprehensively evaluate the divisions of groundwater quality in the Guanzhong Basin. Results show that, the groundwater quality is in good shape, and suitable for drinking. Drinking accounts for 16.02% of the total, most of which are distributed in the lubotan of Weibei. Some come from loess plateau of Qian-Liquan County and some are generated by the industrial pollution of Xingping City. Materials exceeding standards include chloride, sulfate, three nitrogen, fluoride, manganese, iron, hexavalent chromium and so on. The main factors influencing the quality of shallow groundwater include groundwater exploitation, natural background value of special components and precipitation, among which the groundwater exploitation poses the greatest impact. The depth of water is positively correlated with the concentration of sulfate, nitrate and total hardness.展开更多
目的:探讨情绪释放疗法联合低血糖指数膳食对青少年1型糖尿病患者心理状态的影响。方法:选取2022年1月—2023年12月江西省儿童医院收治的80例青少年1型糖尿病患者,按照随机数字表法分为对照组和观察组,各40例。对照组采用常规护理干预,...目的:探讨情绪释放疗法联合低血糖指数膳食对青少年1型糖尿病患者心理状态的影响。方法:选取2022年1月—2023年12月江西省儿童医院收治的80例青少年1型糖尿病患者,按照随机数字表法分为对照组和观察组,各40例。对照组采用常规护理干预,观察组在常规护理的基础上采用情绪释放疗法联合低血糖指数膳食干预。评估两组心理状态、血糖水平及心理弹性评分。结果:干预后,两组焦虑自评量表(SAS)、抑郁自评量表(SDS)评分均低于干预前,心理弹性量表(CD-RISC)评分均高于干预前,且观察组SAS评分、SDS评分均低于对照组,CD-RISC评分高于对照组,差异均有统计学意义(P<0.05)。干预后,两组2 h血糖水平(2 h PG)和空腹血糖(FBG)均低于干预前,且观察组均低于对照组,差异均有统计学意义(P<0.05)。结论:应用情绪释放疗法联合低血糖指数膳食干预青少年1型糖尿病患者,可有效缓解不良心理,对患者的血糖水平进行调节,提升其心理弹性水平。展开更多
The investigations of physical attributes of oceans,including parameters such as heat flow and bathymetry,have garnered substantial attention and are particularly valuable for examining Earth’s thermal structures and...The investigations of physical attributes of oceans,including parameters such as heat flow and bathymetry,have garnered substantial attention and are particularly valuable for examining Earth’s thermal structures and dynamic processes.Nevertheless,classical plate cooling models exhibit disparities when predicting observed heat flow and seafloor depth for extremely young and old lithospheres.Furthermore,a comprehensive analysis of global heat flow predictions and regional ocean heat flow or bathymetry data with physical models has been lacking.In this study,we employed power-law models derived from the singularity theory of fractal density to meticulously fit the latest ocean heat flow and bathymetry.Notably,power-law models offer distinct advantages over traditional plate cooling models,showcasing robust self-similarity,scale invariance,or scaling properties,and providing a better fit to observed data.The outcomes of our singularity analysis concerning heat flow and bathymetry across diverse oceanic regions exhibit a degree of consistency with the global ocean spreading rate model.In addition,we applied the similarity method to predict a higher resolution(0.1°×0.1°)global heat flow map based on the most recent heat flow data and geological/geophysical observables refined through linear correlation analysis.Regions displaying significant disparities between predicted and observed heat flow are closely linked to hydrothermal vent fields and active structures.Finally,combining the actual bathymetry and predicted heat flow with the power-law models allows for the quantitative and comprehensive detection of anomalous regions of ocean subsidence and heat flow,which deviate from traditional plate cooling models.The anomalous regions of subsidence and heat flow show different degrees of anisotropy,providing new ideas and clues for further analysis of ocean topography or hydrothermal circulation of mid-ocean ridges.展开更多
基金sponsored by the construction of urban geological environment monitoring network in Guanzhong urban agglomeration,China geological survey,Project No.Water[2012]01-007-002the research of groundwater dynamic monitoring in Shaanxi province,Shaanxi public welfare geological project,Project No.20130203
文摘This paper studies the distribution features, the chemical elements beyond standards and the influencing factors of shallow groundwater quality in the Guanzhong Basin through the data monitored in the last twenty years. The final purpose is to comprehensively evaluate the divisions of groundwater quality in the Guanzhong Basin. Results show that, the groundwater quality is in good shape, and suitable for drinking. Drinking accounts for 16.02% of the total, most of which are distributed in the lubotan of Weibei. Some come from loess plateau of Qian-Liquan County and some are generated by the industrial pollution of Xingping City. Materials exceeding standards include chloride, sulfate, three nitrogen, fluoride, manganese, iron, hexavalent chromium and so on. The main factors influencing the quality of shallow groundwater include groundwater exploitation, natural background value of special components and precipitation, among which the groundwater exploitation poses the greatest impact. The depth of water is positively correlated with the concentration of sulfate, nitrate and total hardness.
文摘目的:探讨情绪释放疗法联合低血糖指数膳食对青少年1型糖尿病患者心理状态的影响。方法:选取2022年1月—2023年12月江西省儿童医院收治的80例青少年1型糖尿病患者,按照随机数字表法分为对照组和观察组,各40例。对照组采用常规护理干预,观察组在常规护理的基础上采用情绪释放疗法联合低血糖指数膳食干预。评估两组心理状态、血糖水平及心理弹性评分。结果:干预后,两组焦虑自评量表(SAS)、抑郁自评量表(SDS)评分均低于干预前,心理弹性量表(CD-RISC)评分均高于干预前,且观察组SAS评分、SDS评分均低于对照组,CD-RISC评分高于对照组,差异均有统计学意义(P<0.05)。干预后,两组2 h血糖水平(2 h PG)和空腹血糖(FBG)均低于干预前,且观察组均低于对照组,差异均有统计学意义(P<0.05)。结论:应用情绪释放疗法联合低血糖指数膳食干预青少年1型糖尿病患者,可有效缓解不良心理,对患者的血糖水平进行调节,提升其心理弹性水平。
基金supported by the Guangdong Province Introduced Innovative R&D Team of Big Data-Mathematical Earth Sciences and Extreme Geological Events Team(grant number 2021ZT09H399)the National Natural Science Foundation of China(grant number 42430111,42050103).
文摘The investigations of physical attributes of oceans,including parameters such as heat flow and bathymetry,have garnered substantial attention and are particularly valuable for examining Earth’s thermal structures and dynamic processes.Nevertheless,classical plate cooling models exhibit disparities when predicting observed heat flow and seafloor depth for extremely young and old lithospheres.Furthermore,a comprehensive analysis of global heat flow predictions and regional ocean heat flow or bathymetry data with physical models has been lacking.In this study,we employed power-law models derived from the singularity theory of fractal density to meticulously fit the latest ocean heat flow and bathymetry.Notably,power-law models offer distinct advantages over traditional plate cooling models,showcasing robust self-similarity,scale invariance,or scaling properties,and providing a better fit to observed data.The outcomes of our singularity analysis concerning heat flow and bathymetry across diverse oceanic regions exhibit a degree of consistency with the global ocean spreading rate model.In addition,we applied the similarity method to predict a higher resolution(0.1°×0.1°)global heat flow map based on the most recent heat flow data and geological/geophysical observables refined through linear correlation analysis.Regions displaying significant disparities between predicted and observed heat flow are closely linked to hydrothermal vent fields and active structures.Finally,combining the actual bathymetry and predicted heat flow with the power-law models allows for the quantitative and comprehensive detection of anomalous regions of ocean subsidence and heat flow,which deviate from traditional plate cooling models.The anomalous regions of subsidence and heat flow show different degrees of anisotropy,providing new ideas and clues for further analysis of ocean topography or hydrothermal circulation of mid-ocean ridges.
