Solar Disinfection: analyses and results of NASA's Daily Series of Insolation Data for Predicting Exposure Period in Nigeria

The operation of solar disinfection (SODIS) systems requires variable exposure period depending upon the available radiation energy. The uncertainty arising from variable exposure period can be resolved by using probability methods. This study presents a methodology for determining SODIS exposure period (days) by analysing the occurrence frequency of the disinfection threshold in a daily series of radiation data. To do this, the exposure period was interpreted as the number of consecutive exposure days until the occurrence of a day whose solar irradiance is greater than the disinfection threshold. Thus, the exposure period required for at least a single occurrence of the disinfection threshold could be estimated with a certain probability of success, depending on the confidence level or risk of underexposure one is willing to take.
The folder “NASA's Insolation Data and the Simulated 5-h Average Peak Intensity Equivalence (3600 Datasets)” contains the 3600 (300 times 12) datasets in Excel format representing 300 locations and 12 months in Nigeria. The Excel files are named according to the latitude and longitude and the month the datasets represent. The 5-h average peak intensity equivalence was computed from NASA’s insolation data using the algorithm described in the journal paper associated with this data.
The folder “The Results of Pettitt's Homogeneity Test” contains an Excel file and a sub-folder (Homogenous Datasets). The Excel file contains the result of Pettitt’s homogeneity test. The Excel files in the sub-folder “Homogenous Datasets (3600 Datasets)” contains either the same dataset as the files in “NASA's Insolation Data and the Simulated 5-h Average Peak Intensity Equivalence (3600 Datasets)” if the dataset is homogeneous or the longer homogeneous section of the dataset if the dataset is not homogeneous. The datasets in “Homogenous Datasets (3600 Datasets)” were used for the analyses and the prediction of the exposure period.
The folder “The Results of the Validation Experiment” contains an Excel file and two sub-folders. The Excel file is the result of the validation experiment reported in the journal paper associated with this data. Each dataset in “Homogenous Datasets (3600 Datasets)” was divided into two halves for validation purposes. The two subfolders contain the first half and the second half of the datasets.

太阳能消毒（Solar Disinfection，SODIS）系统的运行需根据可获取的辐射能量调整辐照时长。辐照时长的不确定性可通过概率方法予以消解。本研究提出一种方法，通过分析每日辐射数据序列中消毒阈值的出现频率，确定SODIS辐照时长（天数）。该方法将辐照时长定义为连续辐照的天数，直至出现单日太阳辐照度超过消毒阈值的日期。据此，可根据研究人员可接受的曝光不足风险或置信水平，估算出至少单次达成消毒阈值所需的辐照时长，且该估算附带一定的成功概率。
"NASA日照数据与模拟5小时平均峰值强度等效值（3600组数据集）"文件夹包含3600组（300×12）Excel格式数据集，涵盖尼日利亚300个观测点与12个月份。各Excel文件以其所代表的经纬度与月份命名。5小时平均峰值强度等效值由NASA日照数据，结合本数据集关联期刊论文中记载的算法计算得到。
"佩蒂特同质性检验（Pettitt's Homogeneity Test）结果"文件夹包含1个Excel文件与1个子文件夹"同质性数据集（3600组数据集）"。该Excel文件存储佩蒂特同质性检验的结果。子文件夹"同质性数据集（3600组数据集）"中的Excel文件分为两类：若数据集满足同质性，则保留原始数据集；若不满足，则仅保留该数据集中更长的同质子序列。"同质性数据集（3600组数据集）"中的数据被用于辐照时长的分析与预测。
"验证实验结果"文件夹包含1个Excel文件与2个子文件夹。该Excel文件为本文关联期刊论文中报道的验证实验结果。为开展验证，"同质性数据集（3600组数据集）"中的每份数据集均被均分为两部分，两个子文件夹分别存储这些数据集的前半部分与后半部分。