太湖春季水体固有光学特性及其对遥感反射率变化的影响

吸收特性和后向散射特性是水体重要的光学特性,同时也是建立生物光学模型的基本参数。利用2009年4月太湖春季实测数据,结合生物光学模型推导了太湖春季水体颗粒物后向散射系数,在此基础上分析了太湖春季水体的吸收特性和后向散射特性,并利用经验正交分解方法对遥感反射率变化的影响因子进行了分析。结果表明：（1）非色素颗粒物是影响太湖春季水体吸收特性的主导因子,色素颗粒物和CDOM对总吸收（不包含纯水）的贡献相对较小,且色素颗粒物在梅梁湾湖区的包裹效应明显大于其他湖区。（2）颗粒物后向散射系数与总悬浮物和无机悬浮物具有很强的相关性（相关系数均在0.88以上）,与有机悬浮物的相关性相对较弱（相关系数均在0.73以下）,且水体中多次散射对水面总辐亮度有较大的贡献,平均贡献率高达93.46%。（3）利用经验正交分解方法将遥感反射率变化光谱分解成3个正交因子,3个正交因子总共解释了约99%的遥感反射率变化信息,其中,第一正交因子解释了93%的变化信息,第二和第三正交因子分别解释了5%和1%的变化信息。通过对各正交因子与水体不同组分的吸收和后向散射系数进行相关性分析得出,颗粒物的后向散射对水面反射光谱的形成具有非常重要的影响,太湖春季水体遥感反射率的变化主要取决于无机颗粒物的吸收和后向散射,有机颗粒物对遥感反射率的变化影响较小。     

东辽河流域河湖光学吸收特性的季节变化

吸收特性是水体重要的光学特性,也是建立水色反演分析模型的基本参数.本文利用2011年6、9、10月在二龙湖和2012年10月在东辽河的实测数据,通过测定水体营养水平和颗粒物、有色可溶性有机物(CDOM)等光学活性物质的吸收系数,分析了东辽河河湖的光学物质吸收特性和季节变化.结果表明: 二龙湖水体9月处于富营养状态,6月营养水平较低,10月则处于中营养水平;东辽河随采样点位置的差异呈现不同程度的富营养化.水体各组分的吸收系数均随营养水平的增加而逐渐增大.6、10月二龙湖水体总悬浮颗粒物吸收光谱与非色素颗粒物吸收光谱相似,在总吸收中占主导作用的是CDOM;9月总悬浮颗粒物吸收光谱则与浮游植物吸收光谱类似,浮游植物的吸收对总吸收的贡献率最大.6、9月二龙湖浮游植物吸收系数[a_ph(440)]与总磷(TP)呈正相关,6月二龙湖a_ph(440)与溶解有机碳(DOC)呈正相关,非藻类颗粒物吸收系数[a_d(440)]仅与叶绿素a浓度(Chl a)具有相关性.二龙湖(9月)与东辽河a_ph(675)均与Chl a、卡尔森指数(TLI)相关性较好.东辽河流域的河湖水体光学特性存在比较明显的差异:东辽河水体的浮游植物吸收光谱曲线展现出了两种不同类型,浮游植物、非藻类颗粒物、CDOM的贡献率随采样点的不同而相差较大;营养水平较高的9月二龙湖与东辽河水体浮游植物主导了水体光谱吸收,而在二龙湖营养水平较低的月份中(6、10月),颗粒物与CDOM共同主导水体光谱吸收;6月二龙湖与10月东辽河水体CDOM的组成为大分子颗粒物,而9与10月其组成更趋向于小分子颗粒物.     

太湖梅梁湾夏季水体组分光谱吸收特性

2006年8月16、17日对太湖梅梁湾湖区15个样点水体进行采样,利用分光光度计和定量滤膜技术测量了水体要素CDOM、非藻类颗粒物和浮游植物的吸收系数,同时进行水质参数的测定,分别对各水体要素的光谱吸收特性进行分析,并结合水质参数建立相应的区域模式.其中,分UV-C(250～290nm)、UV-B (290～320nm)、UV-A(320～400nm)和蓝光(400～500nm)4个波段建立CDOM光谱吸收的关系模式,同时发现曲线斜率值S与440nm处吸收系数存在很好的二次函数关系,在紫外和蓝光波段R2分别达到0.958和0.835;总悬浮物的光谱吸收特征在不同深度处有些相近,有些则存在明显差异,主要是由有机和无机颗粒物剖面分布的不确定性和总悬浮物浓度所引起;非藻类颗粒物吸收系数在400～700nm的指数函数拟合斜率值S的变化范围为0.0056～0.0090nm-1(平均值(0.0070±0.0008)nm-1),各样点指数函数拟合的R2在0.91以上.在可见光波段范围各水体要素对总吸收系数的贡献大小顺序是:浮游植物＞非藻类颗粒物＞CDOM.浮游植物在蓝、绿和红光波段的平均贡献率都在0.5以上,是水体吸收的主要贡献者;在蓝、绿和红光波段,非藻类颗粒物的平均贡献率分别为0.350±0.145、0.412±0.162和0.232±0.125,CDOM的分别为0.121±0.052、0.088±0.059和0.050±0.038.     

热作用对肾组织光传输特性的影响

研究了热作用下的肾组织对532 nm和1064 nm波长的光学特性的影响。实验利用带积分球附件的分光光度计和采用反向倍增法获取组织的光学特性,结果表明热作用下的肾组织对532 nm和1 064 nm的吸收系数和约化散射系数都是随着加热温度的变化而变化的。在25℃到80℃的温度范围内,肾组织对532 nm的吸收系数和约化散射系数都分别显著地较其对1064 nm的吸收系数和约化散射系数要大。其对532 nm和1 064 nm的吸收系数的最大值都在80℃,其值分别为1.121 mm-1和0.269 mm-1,最小值都在25℃,其值分别为0.131 mm-1和0.019 mm-1。其对532 nm和1 064 nm的约化散射系数的最大值分别在80℃和70℃,其值分别为2.905 mm-1和0.705 mm-1,最小值都在25℃,其值分别为0.391 mm-1和0.184 mm-1。研究结果提示,热作用的温度是影响肾组织的吸收和散射特性的重要因素。     

肾组织脱水对组织光学吸收和散射特性的影响

研究肾组织脱水对组织的吸收和散射特性的影响,实验利用带积分球附件的分光光度计和采用反向倍增法获取组织对532 nm和1064 nm波长的吸收和散射特性。结果表明:在37℃下脱水的肾组织对532 nm和1064 nm的吸收系数和约化散射系数都是随着脱水率的增大而明显地增大的,在37℃下脱水的肾组织对532 nm和1064 nm的吸收系数均明显地较自然的肾组织对相应波长的吸收系数要大,而在37℃下脱水的肾组织对532 nm和1064 nm的约化散射系数也明显地较自然的肾组织对相应波长的约化散射系数要大,在相同脱水率下的肾组织对于532 nm的吸收系数和约化散射系数都明显地较其对1064 nm的吸收系数和约化散射系数要大。研究结果提示,组织脱水、脱水的温度和脱水时间是影响肾组织的吸收和散射特性的重要因素。     

激光低损伤加热疗法的理论分析

激光低损伤加热疗法将激光照射与表面冷却相结合,能实现只让病变组织细胞凝固,而体表健康组织则不受损伤,它是治疗靠近体表肿瘤的一种有希望的方法。为了进一步认识这种治疗方法,本文提出了一个适用于激光低损伤加热疗法的数值计算模型,模拟了热疗过程中的光传输和热传递,得到组织内部的瞬态温度分布。在此基础上,详细讨论了散射系数、吸收系数、各向异性系数等光学参数,激光加热功率、照射半径、表面对流换热系数等热学参数。以及血液灌注率和新陈代谢等生理参数对这种低损伤加热疗法的影响。结果发现,只要通过适当调节吸收系数、散射系数和照射功率等参数就可实现对加热区域位置和范围的控制。     

光动力疗法过程中的光漂白特性

基于光动力过程中的光分布规律,研究了半无限大组织中组织光学特性和光分布对光漂白作用效果的影响.研究发现光漂白效果与组织的散射系数和吸收系数成反比;光漂白的有效作用深度是4.5 mm,最大作用深度是33 mm.研究所得结果不仅表明通过光分布研究光漂白的特性是一种有效的方法,而且对临床上设计合理的治疗法案具有重要的参考作用...     

一种微距测量组织光学参数的方法

测量生物组织的光学参数是近红外光学检测(NIR)的主要任务之一,然而常规的近红外光学检测由于受扩散近似的限制,测量的距离一般大于2cm-3cm。本文从提高近红外光学检测空间分辨率的角度,设计了一种可用于测量生物组织局部、浅表光学参数的方法。通过使用光纤探针,实现了在微小光源-探测器间距时(＜1mm)测量组织光学参数。模型实验的结果表明该方法可反映生物组织中吸收系数及散射系数的变化率。     

自然和热凝固的人肝组织对KTP/YAG激光的光学特性的比较研究

本文采用双积分球测量系统和Inverse Add ing-Doub ling方法,研究了自然和热凝固的人肝组织对532nm的KTP激光和1 064 nm的Nd:YAG激光的光学特性。结果表明:热凝固的人肝组织对532 nm的KTP激光的吸收系数较自然的肝组织的吸收系数增大了23.5%(P<0.05),热凝固的肝组织对1 064 nm的Nd:YAG激光的吸收系数较自然的肝组织的吸收系数减小了34.3%(P<0.05)。热凝固的人肝组织对532 nm的KTP激光的散射系数较自然的肝组织的散射系数增大了4.50倍(P<0.05),热凝固的肝组织对1 064 nm的Nd:YAG激光的散射系数较自然的肝组织的散射系数增大了6.41倍(P<0.05)。热凝固的人肝组织对532 nm的KTP激光的各向异性因子较自然的肝组织的各向异性因子减小了5.47%,热凝固的肝组织对1 064 nm的Nd:YAG激光的各向异性因子较自然的肝组织的各向异性因子减小了1.95%。     

超声调制生物介质中光子自相关性质研究

本文首次用Monte Carlo方法研究了超声调制生物介质中散射光子的时间自相关性质,讨论了超声参数、介质的散射系数和吸收系数对自相关函数的影响。正常生物组织和病变生物组织的自相关函数有明显的判别,超声调制自相关函数为光学医学诊断提供了一种新参考。     

基于GOCI影像的湖泊悬浮物浓度分类反演

悬浮物直接影响到光在水体中的传播,进而影响着水生生态环境,最终决定了湖泊的初级生产力。传统的遥感反演估算模型大多是针对某一湖区进行统一建模,忽视了不同区域水体光学性质的复杂差异性,并且传统的传感器时间分辨率和空间分辨率受到一定限制。针对太湖、巢湖、滇池、洞庭湖4个湖区利用两步聚类法将高光谱模拟到GOCI影像上的波段进行分类,将水体类型分为三类,第一类水体为悬浮物主导的水体,第二类水体为悬浮物和叶绿素a共同主导的水体,第三类水体为叶绿素a主导的水体。针对不同类型水体的光学特征,分别构建了悬浮物浓度反演模型,结果表明第一类水体可以利用B7/B4,第二和第三类水体可以利用B7/(B8+B4)作为波段组合因子对悬浮物浓度进行模型构建。精度验证结果表明,分类建模后第一类和第三类水体悬浮物浓度估算精度都得到了较明显提高,第一类水体RMSE降低了9.19mg/L,MAPE降低了3%,第三类水体RMSE降低了5.63 mg/L,MAPE降低了13.97%,第二类水体精度稍有降低。最后将反演模型应用于2013年5月13日的GOCI影像,可知整体而言太湖西南部地区悬浮物浓度较高,东北部地区悬浮物浓度较低,并且从9:00到15:00,太湖南部悬浮物浓度较高的区域在逐渐缩小。     

Associations of Body Composition with Blood Pressure and Hypertension

Objective

The present study investigated the associations of body composition, including skeletal muscle and fat mass, with blood pressure (BP) and hypertension.

Methods

Data from 3,130 participants aged 18 to 80 years were analyzed. Body composition and total skeletal muscle (TSM) were measured or calculated based on dual‐energy x‐ray absorptiometry. Multivariate linear and logistic regression models were used to analyze the associations of TSM, body fat percentage, android to gynoid fat ratio, and leg and arm lean body mass (LBM) with BP and hypertension. The Wald test was used to estimate the differences in the coefficients.

Results

TSM indices, body fat percentage, and android to gynoid fat ratio were significantly associated with higher odds ratio for prehypertension and hypertension, except for TSM/weight, after controlling for potential confounders. The standardized beta coefficients of arm LBM indices for systolic and diastolic BP were higher than relevant indices of leg LBM.

Conclusions

Different indices of TSM, especially in arm LBM, were all positively associated with elevated BP, prehypertension, and hypertension in Chinese adults, after considering potential confounding factors, including body fat and fat distribution. Future longitudinal studies are warranted to confirm our findings.

     

Patterns on a parr: Drivers of long‐term salmon parr length in U.K. and French rivers depend on geographical scale

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