Inspired by recent significant agricultural yield losses in the eastern China and a missing operational monitoring system,we developed a comprehensive drought monitoring model to better understand the impact of indivi...Inspired by recent significant agricultural yield losses in the eastern China and a missing operational monitoring system,we developed a comprehensive drought monitoring model to better understand the impact of individual key factors contributing to this issue.The resulting model,the‘Humidity calibrated Drought Condition Index’(HcDCI)was applied for the years 2001 to 2019 in form of a case study to Weihai County,Shandong Province in East China.Design and development are based on a linear combination of the Vegetation Condition Index(VCI),the Temperature Condition Index(TCI),and the Rainfall Condition Index(RCI)using multi-source satellite data to create a basic Drought Condition Index(DCI).VCI and TCI were derived from MODIS(Moderate Resolution Imaging Spectroradiometer)data,while precipitation is taken from CHIRPS(Climate Hazards Group InfraRed Precipitation with Station data)data.For reasons of accuracy,the decisive coefficients were determined by the relative humidity of soils at depth of 10-20 cm of particular areas collected by an agrometeorological ground station.The correlation between DCI and soil humidity was optimized with the factors of 0.53,0.33,and 0.14 for VCI,TCI,and RCI,respectively.The model revealed,light agricultural droughts from 2003 to 2013 and in 2018,while more severe droughts occurred in 2001 and 2002,2014-2017,and 2019.The droughts were most severe in January,March,and December,and our findings coincide with historical records.The average temperature during 2012-2019 is 1℃ higher than that during the period 2001-2011 and the average precipitation during 2014-2019 is 192.77 mm less than that during 2008-2013.The spatio-temporal accuracy of the HcDCI model was positively validated by correlation with agricultural crop yield quantities.The model thus,demonstrates its capability to reveal drought periods in detail,its transferability to other regions and its usefulness to take future measures.展开更多
目的了解南阳市12~18岁在校学生颈椎活动度(cervical range of motion,CROM)的年龄变化特点及与颈椎病的关系,为青少年颈椎病的预防、早期诊断及治疗效果的评估提供参考。方法在南阳市采用分层随机整群抽样方法,使用Coda Motion运动分...目的了解南阳市12~18岁在校学生颈椎活动度(cervical range of motion,CROM)的年龄变化特点及与颈椎病的关系,为青少年颈椎病的预防、早期诊断及治疗效果的评估提供参考。方法在南阳市采用分层随机整群抽样方法,使用Coda Motion运动分析仪检测890名12~18岁学生的CROM,用SPSS 19.0对数据进行处理。结果南阳市12~18岁男女生CROM总体呈下降趋势。15和18岁组男生颈椎前屈、后伸、左侧屈、右侧屈、左旋和右旋活动度与前一年龄组相比差异均有统计学意义(t_(前屈)值分别为2.02,2.70;t_(后伸)值分别2.01,2.81;t_(左侧屈)值分别为3.51,2.99;t_(右侧屈)值分别为5.07,2.66;t_(左旋)值分别为2.28,2.92;t_(右旋)值分别为2.91,3.60,P值均<0.05);15和18岁组女生与前一年龄组相比差异均有统计学意义(t_(前屈)值分别为2.38,2.20;t_(后伸)值分别2.09,2.02;t_(左侧屈)值分别为2.33,2.55;t_(右侧屈)值分别为7.34,4.60;t_(左旋)值分别为3.73,2.35;t_(右旋)值分别为2.31,3.99,P值均<0.05);除右侧屈外,同年龄组男生CROM均大于女生。颈椎病检出率总体呈增高趋势(男生:χ^(2)_(趋势)=13.93,女生:χ^(2)_(趋势)=12.87,P值均<0.05)。除14岁外,其他年龄段女生颈椎病检出率均高于男性,15和17岁年龄组性别差异具有统计学意义(χ^(2)值分别为10.35,9.64,P值均<0.05)。结论随年龄增长,男女生的CROM整体呈下降趋势,且CROM越小,颈椎病发生率越高。CROM的测量有利于青少年颈椎病的预防、早期诊断及治疗效果。展开更多
基金Under the auspices of Shenzhen Science and Technology Program(No.KQTD20180410161218820)Guangdong Basic and Applied Basic Research Foundation(No.2021A1515012600)。
文摘Inspired by recent significant agricultural yield losses in the eastern China and a missing operational monitoring system,we developed a comprehensive drought monitoring model to better understand the impact of individual key factors contributing to this issue.The resulting model,the‘Humidity calibrated Drought Condition Index’(HcDCI)was applied for the years 2001 to 2019 in form of a case study to Weihai County,Shandong Province in East China.Design and development are based on a linear combination of the Vegetation Condition Index(VCI),the Temperature Condition Index(TCI),and the Rainfall Condition Index(RCI)using multi-source satellite data to create a basic Drought Condition Index(DCI).VCI and TCI were derived from MODIS(Moderate Resolution Imaging Spectroradiometer)data,while precipitation is taken from CHIRPS(Climate Hazards Group InfraRed Precipitation with Station data)data.For reasons of accuracy,the decisive coefficients were determined by the relative humidity of soils at depth of 10-20 cm of particular areas collected by an agrometeorological ground station.The correlation between DCI and soil humidity was optimized with the factors of 0.53,0.33,and 0.14 for VCI,TCI,and RCI,respectively.The model revealed,light agricultural droughts from 2003 to 2013 and in 2018,while more severe droughts occurred in 2001 and 2002,2014-2017,and 2019.The droughts were most severe in January,March,and December,and our findings coincide with historical records.The average temperature during 2012-2019 is 1℃ higher than that during the period 2001-2011 and the average precipitation during 2014-2019 is 192.77 mm less than that during 2008-2013.The spatio-temporal accuracy of the HcDCI model was positively validated by correlation with agricultural crop yield quantities.The model thus,demonstrates its capability to reveal drought periods in detail,its transferability to other regions and its usefulness to take future measures.
文摘目的了解南阳市12~18岁在校学生颈椎活动度(cervical range of motion,CROM)的年龄变化特点及与颈椎病的关系,为青少年颈椎病的预防、早期诊断及治疗效果的评估提供参考。方法在南阳市采用分层随机整群抽样方法,使用Coda Motion运动分析仪检测890名12~18岁学生的CROM,用SPSS 19.0对数据进行处理。结果南阳市12~18岁男女生CROM总体呈下降趋势。15和18岁组男生颈椎前屈、后伸、左侧屈、右侧屈、左旋和右旋活动度与前一年龄组相比差异均有统计学意义(t_(前屈)值分别为2.02,2.70;t_(后伸)值分别2.01,2.81;t_(左侧屈)值分别为3.51,2.99;t_(右侧屈)值分别为5.07,2.66;t_(左旋)值分别为2.28,2.92;t_(右旋)值分别为2.91,3.60,P值均<0.05);15和18岁组女生与前一年龄组相比差异均有统计学意义(t_(前屈)值分别为2.38,2.20;t_(后伸)值分别2.09,2.02;t_(左侧屈)值分别为2.33,2.55;t_(右侧屈)值分别为7.34,4.60;t_(左旋)值分别为3.73,2.35;t_(右旋)值分别为2.31,3.99,P值均<0.05);除右侧屈外,同年龄组男生CROM均大于女生。颈椎病检出率总体呈增高趋势(男生:χ^(2)_(趋势)=13.93,女生:χ^(2)_(趋势)=12.87,P值均<0.05)。除14岁外,其他年龄段女生颈椎病检出率均高于男性,15和17岁年龄组性别差异具有统计学意义(χ^(2)值分别为10.35,9.64,P值均<0.05)。结论随年龄增长,男女生的CROM整体呈下降趋势,且CROM越小,颈椎病发生率越高。CROM的测量有利于青少年颈椎病的预防、早期诊断及治疗效果。
