ABSTRACT Sewage sludge management is a major challenge in environmental protection. Composting is an organic waste treatment method that is cost effective and leads to resource recovery. Composting is considered an environmentally and agriculturally friendly method of sewage sludge utilisation. The objective of this study was to evaluate maturity of three composts prepared on the basis of sewage sludge mixed with structure-forming waste materials, such as pine bark, sawdust and wheat straw. The germination index (GI) was used to assess the maturity and phytotoxicity of composts at particular composting stages (initial, mesophilic, thermophilic, cooling, maturation). Cress seeds were used to determine the GI. The logistic model, which belongs to a broad class of generalized linear models, was used to analyze experimental data. Using this model the interesting probabilities (from the point of view of the experimenter) for the occurrence of a specific root length were determined. In addition, a model was constructed providing a dependence of probability on temperature. This work indicates a marked dependence between root length produced by cress seeds and the temperature of the composting process, which was closely related to the GI values. The longest plant roots, similarly as the highest GI values, were found at the lower temperature, which took place at the beginning and at the end of the composting process. Our findings suggest that the practical applicability of GI in the evaluation of compost maturity is limited. Additionally, the role of additional wastes being structure-forming agents in composted mixtures with sewage sludge was stressed as a sorption matrix for harmful substances released from sewage sludge.

中文翻译：

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Logistic模型评估发芽指数的实际适用性

摘要 污水污泥管理是环境保护的一项重大挑战。堆肥是一种有机废物处理方法，具有成本效益并可以回收资源。堆肥被认为是一种环境和农业友好的污水污泥利用方法。本研究的目的是评估在污水污泥与松树皮、锯末和麦秆等结构形成废料混合的基础上制备的三种堆肥的成熟度。发芽指数 (GI) 用于评估堆肥在特定堆肥阶段（初始、中温、高温、冷却、成熟）的成熟度和植物毒性。水芹种子用于确定 GI。逻辑模型属于广义线性模型的一大类，用于分析实验数据。使用该模型确定了特定根长度出现的有趣概率（从实验者的角度来看）。此外，构建了一个模型，提供概率对温度的依赖性。这项工作表明水芹种子产生的根长与堆肥过程的温度之间存在显着的相关性，这与 GI 值密切相关。最长的植物根与最高的 GI 值类似，是在较低的温度下发现的，这发生在堆肥过程的开始和结束时。我们的研究结果表明，GI 在堆肥成熟度评估中的实际适用性是有限的。此外，