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The ideal frequency of temperature data collection in compostability experiments on domestic organic residues
Environmental Technology ( IF 2.8 ) Pub Date : 2018-09-20 , DOI: 10.1080/09593330.2018.1523233 Tatiane Cristina Dal Bosco 1 , Roger Nabeyama Michels 2 , Janksyn Bertozzi 3 , Ivan Taiatele Junior 1 , Elizabeth Mie Hashimoto 4
Environmental Technology ( IF 2.8 ) Pub Date : 2018-09-20 , DOI: 10.1080/09593330.2018.1523233 Tatiane Cristina Dal Bosco 1 , Roger Nabeyama Michels 2 , Janksyn Bertozzi 3 , Ivan Taiatele Junior 1 , Elizabeth Mie Hashimoto 4
Affiliation
ABSTRACT One of the main analytical variable to indicate the evolution and the phases of the composting process is temperature, whose constant monitoring is fundamental for decision making. However, studies usually perform collection of temperature data with a daily frequency due to the operational difficulty in obtaining this information from manually collected samples. Thus, the aim of this study was to determine the ideal frequency of temperature data collection in composting layers. Eight composting layers containing tree prunings + domestic organic residues were installed and four temperature sensors were installed in each layer. The temperature data were collected and recorded from minute to minute by means of a datalogger developed with an Arduino board during 70 days of composting. Thus, the collected temperatures were used as a pilot sample, and therefore the ideal temperature collection rate was estimated for different estimation error limits. No significant difference was found between the different collection times according to the Kruskal–Wallis test at a significance level of 5%. Therefore, the ideal collection frequency can be determined from the error limit of temperature estimation that is acceptable to the researcher. GRAPHICAL ABSTRACT
中文翻译:
国内有机残留物可堆肥试验中温度数据收集的理想频率
摘要 指示堆肥过程演变和阶段的主要分析变量之一是温度,其持续监测是决策的基础。然而,由于从手动收集的样本中获取此信息的操作困难,研究通常每天都会收集温度数据。因此,本研究的目的是确定堆肥层中温度数据收集的理想频率。安装了八个包含树木修剪+生活有机残留物的堆肥层,每层安装了四个温度传感器。在 70 天的堆肥过程中,温度数据通过使用 Arduino 板开发的数据记录器逐分钟收集和记录。因此,收集的温度用作试点样本,因此针对不同的估计误差限制估计了理想的温度收集率。根据 Kruskal-Wallis 检验,在 5% 的显着性水平下,不同收集时间之间没有发现显着差异。因此,理想的采集频率可以根据研究人员可接受的温度估计误差极限来确定。图形概要 理想的采集频率可以根据研究人员可接受的温度估计误差极限来确定。图形概要 理想的采集频率可以根据研究人员可接受的温度估计误差极限来确定。图形概要
更新日期:2018-09-20
中文翻译:
国内有机残留物可堆肥试验中温度数据收集的理想频率
摘要 指示堆肥过程演变和阶段的主要分析变量之一是温度,其持续监测是决策的基础。然而,由于从手动收集的样本中获取此信息的操作困难,研究通常每天都会收集温度数据。因此,本研究的目的是确定堆肥层中温度数据收集的理想频率。安装了八个包含树木修剪+生活有机残留物的堆肥层,每层安装了四个温度传感器。在 70 天的堆肥过程中,温度数据通过使用 Arduino 板开发的数据记录器逐分钟收集和记录。因此,收集的温度用作试点样本,因此针对不同的估计误差限制估计了理想的温度收集率。根据 Kruskal-Wallis 检验,在 5% 的显着性水平下,不同收集时间之间没有发现显着差异。因此,理想的采集频率可以根据研究人员可接受的温度估计误差极限来确定。图形概要 理想的采集频率可以根据研究人员可接受的温度估计误差极限来确定。图形概要 理想的采集频率可以根据研究人员可接受的温度估计误差极限来确定。图形概要