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Resource-saving technologies of treatment of polluted washing water for transport companies

Melekhin A., Melekhin A.

Transport Problems

2016

T. 11, z. 1

131--145

Dedicated to the development of resource-saving polluted washing water treating technologies for transport companies. The article suggests methods of water purification with regard to scientifically grounded requirements to the quality of the water used and the required degree of purification and The article also considers the method of selecting efficient methods of sewage water treating, when a selective removal of individual polluting ingredients should be done. For this purpose we have conducted a simulation process of treating polluted washing water in the circulating water systems, and provided solutions for refining the process parameters.

Посвящено разработке ресурсосберегающих технологий очистки загрязненных моечных вод на предприятиях транспорта. В статье рассмотрены методы очистки воды с учетом научно-обоснованных требований к качеству используемой воды и необходимой степени очистки и методики подбора селективных рациональных методов очистки сточных вод, когда удаление отдельных ингредиентов общего загрязнения происходит избирательно. Проведено моделирование процесса очистки загрязненных моечных вод в оборотных системах водопользования и даны решения задач оптимизации параметров процесса.

Optimization of process parameters for composting of pulp/paper mill sludge with hazelnut kernel using a statistical method

Aycan N., Turan N. G., Ozgonenel O.

Environment Protection Engineering

2014

Vol. 40, nr 1

127--138

An effective way to remove ammonium from compost using hazelnut kernels (HK) has been presented. The role of experimental factors on the removal of ammonium was examined by using the full factor experimental design (FFED). The experimental factors and their related levels were selected as time of 1-6 weeks, moisture of 50-70%, and HK amendment ratio of 5-25. The results were then evaluated by the ANOVA test to examine importance of the process variables (inputs) and their levels. A regression model taking into account main significant and interaction effects was suggested. According to the optimization algorithm, time of 5 weeks, moisture of 50%, and HK amendment ratio of 25 with the removal capacity of 60% were selected as optimum levels. The proposed analyzing procedure is simple to implement and cost-effective.