水体中过高浓度的有机物含量危害巨大,不仅会造成严重的环境污染,而且危害人类身体健康,传统化学法检测水体化学需氧量(COD)的步骤繁琐且时效性差,不利于水体中COD的快速定量检测。针对这些问题,提出了一种将紫外光谱与组合权值模型相...水体中过高浓度的有机物含量危害巨大,不仅会造成严重的环境污染,而且危害人类身体健康,传统化学法检测水体化学需氧量(COD)的步骤繁琐且时效性差,不利于水体中COD的快速定量检测。针对这些问题,提出了一种将紫外光谱与组合权值模型相结合的快速定量检测COD方法,该组合权值模型是基于反向区间偏最小二乘法(BiPLS)结合组合区间偏最小二乘法(SiPLS)算法对紫外光谱的特征子区间筛选组合,然后依据特征子区间的权值建立的预测模型。首先按照一定的浓度梯度配制45份COD标准液样本,通过实验获取标准液的紫外光谱数据;对获取到的COD紫外光谱数据做一阶导数和S-G滤波(Savitzky-Golay)的预处理,消除基线漂移和环境干扰噪声;应用SPXY(Sample set partitioning based on jiont X-Y)算法将实验样本数据组划分成校正集和预测集。然后基于BiPLS算法对全光谱区间进行波长筛选,在BiPLS筛选过程中,目标区间的划分数量会对建模产生较大影响,于是对子区间划分数量进行优化,把子区间分成15~25个,在不同区间数下都进行偏最小二乘(PLS)建模,通过交互验证均方根误差(RMSECV)来筛选最优子区间数,得到区间数为18时,模型效果最佳。从18个波长区间筛选出了6个特征波长子区间,入选的子区间为2,1,3,11,7和6,对应波长为234~240,262~268,269~275,290~296,297~303和304~310nm,这6个特征波长区间涵盖了大量的光谱信息,对最终预测模型的贡献度大;接下来通过SiPLS算法对这6个初选区间进行进一步的筛选组合,采用不同的组合数构建不同特征区间上的PLS模型,在相同组合数下,筛选出一个区间组合数最优的结果,对比不同组合数下预测模型的误差与相关性,将6个区间筛选组合为3个特征波长区间,分别为234~240,262~275和290~310nm,这三个特征区间最佳因子数分别为4,4和3。对传统SiPLS的特征区间组合方法进行改进,基于权值的大小来对这3个特征区间进行线性组合,代替过去特征区间直接组合的方法。通过权值公式计算出这3个特征区间的权重大小分别为0.509,0.318和0.173,最终建立线性组合权值COD浓度预测模型。为了验证组合权重预测模型的精度,另外建立了全波长范围内的PLS预测模型、单个特征波长区间的PLS预测模型、直接组合特征波长区间的PLS模型,并使用评价参数相关系数的平方(R2)、预测值与真实浓度值的均方根误差(RMSEP)和预测回收率(T)来对模型评价。验证结果表明,相比其他预测模型,组合权值模型相关系数的平方达到了0.9997,明显优于直接组合特征区间建模的0.9680,预测均方根误差为0.532,比直接组合特征区间的预测模型误差降低了29.3%,预测回收率为96.4%~103.1%,显著地提高了预测精度。该方法简单可行,不会产生二次污染,可为在线监测水体中COD浓度提供一定的技术支持。展开更多
The chemistry version of the Weather Re- search and Forecasting model （WRF/Chem） was coupled with the anthropogenic emission inventory of David Streets to investigate the impacts of secondary aerosols on a persisten...The chemistry version of the Weather Re- search and Forecasting model （WRF/Chem） was coupled with the anthropogenic emission inventory of David Streets to investigate the impacts of secondary aerosols on a persistent fog event from 25 to 26 October 2007, in Northem China. The spatial distribution of the simulated fog is consistent with satellite observations, and the time-height distributions of the simulated boundary layer where the fog formed are also in good agreement with these observations. The sensitivity studies show that the secondary aerosols of SO4, NO3, and NH4 formed from gaseous precursors of SO2, NOx, and NH3 had substantial impacts on the formation processes and microphysical structure of the fog event. The decrease of the secondary aerosols obviously reduced the liquid water path and column droplet number concentration of the fog below the 1-km layer, and the corresponding area-averaged liquid water path and droplet number concentration of the fog decreased by 43% and 79%, respectively. The concentra- tions of NOx and NO3 were found to be extremely high in this case. The concentration of interstitial aerosol NO3 was much higher than the SO4 and NH4, but the concentration of SO4 was highest in the cloud-borne aerosols. The average activation ratios for SO4, NO3, and NH4 were 34%, 31%, and 30%, respectively, and the maximum ra- tios reached 62%, 86%, and 55% during the fog episode.展开更多
The CO gas in the upper comer along with the work of mining face in different coal-seam of Lingwu coal-field has deeply affected judgment for the degree of the coal spontaneous combustion and safety work. For this iss...The CO gas in the upper comer along with the work of mining face in different coal-seam of Lingwu coal-field has deeply affected judgment for the degree of the coal spontaneous combustion and safety work. For this issue, a new calculation and forecast model of the carbon monoxide concentration in the upper comer of mining face was deduced for analyzing and calculating the date from the lab and test-in-place, during this course using the knowledge of heat transfer, fluid dynamics, and mathematics. The model took into account the characteristics of the coal spontaneous combustion, coal mining conditions, and other correlate factors, so the CO concentration of the upper comer safe under the normal condition, and it is in danger when the coal reached spontaneous combustion, which can be calculated accurately with the model and compared with the measured concentration with a tolerance of less than 12%.展开更多
文摘水体中过高浓度的有机物含量危害巨大,不仅会造成严重的环境污染,而且危害人类身体健康,传统化学法检测水体化学需氧量(COD)的步骤繁琐且时效性差,不利于水体中COD的快速定量检测。针对这些问题,提出了一种将紫外光谱与组合权值模型相结合的快速定量检测COD方法,该组合权值模型是基于反向区间偏最小二乘法(BiPLS)结合组合区间偏最小二乘法(SiPLS)算法对紫外光谱的特征子区间筛选组合,然后依据特征子区间的权值建立的预测模型。首先按照一定的浓度梯度配制45份COD标准液样本,通过实验获取标准液的紫外光谱数据;对获取到的COD紫外光谱数据做一阶导数和S-G滤波(Savitzky-Golay)的预处理,消除基线漂移和环境干扰噪声;应用SPXY(Sample set partitioning based on jiont X-Y)算法将实验样本数据组划分成校正集和预测集。然后基于BiPLS算法对全光谱区间进行波长筛选,在BiPLS筛选过程中,目标区间的划分数量会对建模产生较大影响,于是对子区间划分数量进行优化,把子区间分成15~25个,在不同区间数下都进行偏最小二乘(PLS)建模,通过交互验证均方根误差(RMSECV)来筛选最优子区间数,得到区间数为18时,模型效果最佳。从18个波长区间筛选出了6个特征波长子区间,入选的子区间为2,1,3,11,7和6,对应波长为234~240,262~268,269~275,290~296,297~303和304~310nm,这6个特征波长区间涵盖了大量的光谱信息,对最终预测模型的贡献度大;接下来通过SiPLS算法对这6个初选区间进行进一步的筛选组合,采用不同的组合数构建不同特征区间上的PLS模型,在相同组合数下,筛选出一个区间组合数最优的结果,对比不同组合数下预测模型的误差与相关性,将6个区间筛选组合为3个特征波长区间,分别为234~240,262~275和290~310nm,这三个特征区间最佳因子数分别为4,4和3。对传统SiPLS的特征区间组合方法进行改进,基于权值的大小来对这3个特征区间进行线性组合,代替过去特征区间直接组合的方法。通过权值公式计算出这3个特征区间的权重大小分别为0.509,0.318和0.173,最终建立线性组合权值COD浓度预测模型。为了验证组合权重预测模型的精度,另外建立了全波长范围内的PLS预测模型、单个特征波长区间的PLS预测模型、直接组合特征波长区间的PLS模型,并使用评价参数相关系数的平方(R2)、预测值与真实浓度值的均方根误差(RMSEP)和预测回收率(T)来对模型评价。验证结果表明,相比其他预测模型,组合权值模型相关系数的平方达到了0.9997,明显优于直接组合特征区间建模的0.9680,预测均方根误差为0.532,比直接组合特征区间的预测模型误差降低了29.3%,预测回收率为96.4%~103.1%,显著地提高了预测精度。该方法简单可行,不会产生二次污染,可为在线监测水体中COD浓度提供一定的技术支持。
基金supported by the National Meteorology Public Welfare Industry Research Project(GYHY200806001)the National Science and Technology Support Program (2006BAC12B03)
文摘The chemistry version of the Weather Re- search and Forecasting model （WRF/Chem） was coupled with the anthropogenic emission inventory of David Streets to investigate the impacts of secondary aerosols on a persistent fog event from 25 to 26 October 2007, in Northem China. The spatial distribution of the simulated fog is consistent with satellite observations, and the time-height distributions of the simulated boundary layer where the fog formed are also in good agreement with these observations. The sensitivity studies show that the secondary aerosols of SO4, NO3, and NH4 formed from gaseous precursors of SO2, NOx, and NH3 had substantial impacts on the formation processes and microphysical structure of the fog event. The decrease of the secondary aerosols obviously reduced the liquid water path and column droplet number concentration of the fog below the 1-km layer, and the corresponding area-averaged liquid water path and droplet number concentration of the fog decreased by 43% and 79%, respectively. The concentra- tions of NOx and NO3 were found to be extremely high in this case. The concentration of interstitial aerosol NO3 was much higher than the SO4 and NH4, but the concentration of SO4 was highest in the cloud-borne aerosols. The average activation ratios for SO4, NO3, and NH4 were 34%, 31%, and 30%, respectively, and the maximum ra- tios reached 62%, 86%, and 55% during the fog episode.
文摘The CO gas in the upper comer along with the work of mining face in different coal-seam of Lingwu coal-field has deeply affected judgment for the degree of the coal spontaneous combustion and safety work. For this issue, a new calculation and forecast model of the carbon monoxide concentration in the upper comer of mining face was deduced for analyzing and calculating the date from the lab and test-in-place, during this course using the knowledge of heat transfer, fluid dynamics, and mathematics. The model took into account the characteristics of the coal spontaneous combustion, coal mining conditions, and other correlate factors, so the CO concentration of the upper comer safe under the normal condition, and it is in danger when the coal reached spontaneous combustion, which can be calculated accurately with the model and compared with the measured concentration with a tolerance of less than 12%.
