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Estimation of Effective Day Length at Any Light Intensity Using Solar Radiation Data

机译:使用太阳辐射数据估算任何光照强度下的有效日长

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摘要

The influence of day length on living creatures differs with the photosensitivity of the creature; however, the possible sunshine duration (N0) might be an inadequate index of the photoperiod for creatures with low light sensitivity. To address this issue, the authors tried to estimate the effective day length, i.e., the duration of the photoperiod that exceeds a certain threshold of light intensity. Continual global solar radiation observation data were gathered from the baseline surface radiation network (BSRN) of 18 sites from 2004 to 2007 and were converted to illuminance data using a luminous efficiency model. The monthly average of daily photoperiods exceeding each defined intensity (1 lx, 300 lx, … 20,000 lx) were calculated [defined as Ne(lux)]. The relationships between the monthly average of global solar radiation (Rs), N0, and Ne(lux) were investigated. At low light intensity (<500 lx), Ne(lux) were almost the same as N0. At high light intensity (>10,000 lx), Ne(lux) and Rs showed a logarithmic relationship. Using these relationships, empirical models were derived to estimate the effective day length at different light intensities. According to the validation of the model, the effective day length for any light intensity could be estimated with an accuracy of less than 11% of the mean absolute percentage error (MAPE) in the estimation of the monthly base photoperiod. Recently, a number of studies have provided support for a link between day length and some diseases. Our results will be useful in further assessing the relationships between day length and these diseases.
机译:日长对生物的影响因生物的光敏性而异。但是,对于低感光度的生物,可能的日照持续时间(N0)可能不足以表示其光周期。为了解决这个问题,作者试图估计有效的日长,即超过一定光强度阈值的光周期持续时间。从2004年至2007年,从18个站点的基线表面辐射网络(BSRN)收集了连续的全球太阳辐射观测数据,并使用发光效率模型将其转换为照度数据。计算超过每个定义强度(1 lx,300 lx…20,000 lx)的每日光周期的月平均值[定义为Ne(lux)]。研究了全球太阳辐射(Rs),N0和Ne(lux)的月平均值之间的关系。在低光强度(<500 lx)下,Ne(lux)与N0几乎相同。在高光强度(> 10,000 lx)下,Ne(lux)和 Rs 呈对数关系。利用这些关系,得出了经验模型来估计不同光照强度下的有效日长。根据模型的验证,可以估计任何光强度的有效日长,其准确性小于每月基本光周期估计中的平均绝对百分比误差(MAPE)的11%。最近,许多研究为日长与某些疾病之间的联系提供了支持。我们的结果将有助于进一步评估日长与这些疾病之间的关系。

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