估算上埃及部分地区紫外线指数的经验模型

S. M. Shazly, K. O. Kassem, A. Hassan, Eman F. El-Nobi
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引用次数: 6

摘要

已经开发了上埃及10个地点所有天空条件下的紫外线指数(UVI)的电磁模式。采用多元线性回归技术,将各UVI作为因变量,将所有的赤纬(δ)、正午余弦太阳天顶角(cosSZAn)、总臭氧柱(TOC) DU、反射率(reflc) %和气溶胶指数(AI)作为自变量。模型的建立使用了与1978-1999年期间相对应的数据集,并使用了一个独立的数据集(2000年)进行验证。利用全臭氧测图光谱仪(Total Ozone Mapping Spectrometer, TOMS)遥感仪获取各地点中午的红外紫外线(EUV) (mW/ m2)、TOC (DU)、反射率(reflc)(%)和AI (AI)数据。对于所有地点,由于所有自变量的变化,经验模型预测了超过93%的UVI变化。此外,已经为所有地点建立了一个单一的模型。通过计算平均偏差误差(M BE %)和均方根误差(RMSE %)来确定每个位置的模型性能。此外,还计算了平均绝对误差(MAE %)、建模效率(M E)、建模指数(d)和t统计量。经验模型提供了可靠的紫外线指数预测,以告知公众紫外线辐射过度暴露可能产生的有害影响。
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An Empirical Model to Estimate UV index in Some Upper Egypt Regions
Emp irical models to estimate the u ltraviolet index (UVI) for all sky conditions in ten locations in Upper Egypt have been developed. Multiple linear regression technique has been used for lin king each o f the UVI as a dependent variable, and all of the declination (δ), cosine solar zenith angle at noon (cosSZAn), total ozone column (TOC) in DU, reflectivity (reflc) in % and aerosol index (AI) as independent variables. A dataset corresponding to the period (1978-1999) was used to develop the models and an independent dataset (year 2000) was used for validation purposes. The data set for each location, including erythemal u ltraviolet (EUV) at noon in mW/m 2 , (TOC) in DU, reflectiv ity (reflc) in % and (AI), was retrieved fro m Total Ozone Mapping Spectrometer (TOMS) remote sensing instrument. For all locations, the emp irical models exp lain more than 93% of UVI variab ility due to changes in all independent variables. In addit ion, one single model for all the locations has been constructed. Model performance was determined for each location by calcu lating the mean bias error (M BE %) and the root mean square error (RMSE %). In addition, mean absolute error (MAE %), modelling efficiency (M E), modelling index (d ), and t-statistics have been computed. The empirical model provides reliable fo recast UVI in order to inform the public about the possible harmfu l effects of UV rad iation over-exposure.
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