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首页> 外文期刊>Frontiers of earth science >A statistical model to predict total column ozone in Peninsular Malaysia
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A statistical model to predict total column ozone in Peninsular Malaysia

机译：预测马来西亚半岛总柱臭氧的统计模型

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This study aims to predict monthly columnar ozone in Peninsular Malaysia based on concentrations of several atmospheric gases. Data pertaining to five atmospheric gases (CO2, O-3, CH4, NO2, and H2O vapor) were retrieved by satellite scanning imaging absorption spectrometry for atmospheric chartography from 2003 to 2008 and used to develop a model to predict columnar ozone in Peninsular Malaysia. Analyses of the northeast monsoon (NEM) and the southwest monsoon (SWM) seasons were conducted separately. Based on the Pearson correlation matrices, columnar ozone was negatively correlated with H2O vapor but positively correlated with CO2 and NO2 during both the NEM and SWM seasons from 2003 to 2008. This result was expected because NO2 is a precursor of ozone. Therefore, an increase in columnar ozone concentration is associated with an increase in NO2 but a decrease in H2O vapor. In the NEM season, columnar ozone was negatively correlated with H2O (-0.847), NO2 (0.754), and CO2 (0.477); columnar ozone was also negatively but weakly correlated with CH4 (-0.035). In the SWM season, columnar ozone was highly positively correlated with NO2 (0.855), CO2 (0.572), and CH4 (0.321) and also highly negatively correlated with H2O (-0.832). Both multiple regression and principal component analyses were used to predict the columnar ozone value in Peninsular Malaysia. We obtained the best-fitting regression equations for the columnar ozone data using four independent variables. Our results show approximately the same R value (approximate to 0.83) for both the NEM and SWM seasons.
机译：这项研究旨在根据几种大气气体的浓度预测马来西亚半岛的每月柱状臭氧。 2003年至2008年，通过卫星扫描成像吸收光谱法检索了有关五种大气气体（CO2，O-3，CH4，NO2和H2O蒸气）的数据，用于大气图表，并用于建立预测马来西亚半岛柱状臭氧的模型。分别对东北季风（NEM）和西南季风（SWM）季节进行了分析。根据Pearson相关矩阵，在2003年至2008年的NEM和SWM季节，柱状臭氧与H2O蒸汽呈负相关，而与CO2和NO2呈正相关。由于NO2是臭氧的前体，因此可以预期这一结果。因此，柱状臭氧浓度的增加与NO2的增加但H2O蒸气的减少相关。在NEM季节，柱状臭氧与H2O（-0.847），NO2（0.754）和CO2（0.477）呈负相关。柱状臭氧也与CH4呈负相关，但弱相关（-0.035）。在SWM季节，柱状臭氧与NO2（0.855），CO2（0.572）和CH4（0.321）高度正相关，并且与H2O（-0.832）高度负相关。多元回归分析和主成分分析均用于预测马来西亚半岛的柱状臭氧值。我们使用四个自变量获得了柱状臭氧数据的最佳拟合回归方程。我们的结果显示，NEM和SWM季节的R值大致相同（约0.83）。

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