Turner Claire, Williams Adrian, White Rodger, Tillett Robin
Silsoe Research Institute, Wrest Park, Silsoe, Bedford MK45 4HS, UK.
Bioresour Technol. 2005 Mar;96(5):521-9. doi: 10.1016/j.biortech.2004.07.008.
A sufficiently high composting temperature should inactivate many common pathogens likely to be present in solid animal waste. Monitoring core temperatures inside compost heaps is not straightforward, which means that heaps are not generally monitored. An alternative is to monitor surface temperatures and use those data to infer core temperatures, and thus whether pathogen inactivation has occurred. This paper describes two methods (thermal imaging and thermocouples) for the measurement of surface temperature, and a modelling approach using time series analysis to predict the temperatures obtained in the core of aerated heaps of composting pig farmyard manure (FYM) from surface temperature data. The model was able to predict core temperatures in the heap quite closely for a period of time for well insulated parts of the heap, although predictions were further from observed values close to the surface of the heap and the aeration pipe.
足够高的堆肥温度应能使固体动物粪便中可能存在的许多常见病原体失活。监测堆肥堆内部的核心温度并非易事，这意味着通常不对堆肥堆进行监测。一种替代方法是监测表面温度，并利用这些数据推断核心温度，进而判断病原体是否已失活。本文介绍了两种测量表面温度的方法（热成像和热电偶），以及一种使用时间序列分析的建模方法，用于根据表面温度数据预测养猪场粪肥（FYM）通气堆肥核心部位的温度。对于堆肥堆隔热良好的部分，该模型在一段时间内能够相当准确地预测堆内核心温度，不过在靠近堆肥堆表面和曝气管处的预测值与观测值的偏差较大。
