Statistical Optimization to Model Ammonia Removal During Co-Composting of Pulp/Paper Mill Sludge and Corn Wastes

被引:3
作者
Aycan, Nurdan [1 ]
Turan, Nurdan Gamze [1 ]
机构
[1] Ondokuz Mayis Univ, Dept Environm Engn, TR-55139 Kurupelit, Samsun, Turkey
关键词
Biomass; Bioprocess conditions; Full factor experimental design; Wastewater treatment; RESPONSE-SURFACE METHODOLOGY; MUNICIPAL SOLID-WASTE; ORGANIC-MATTER; WATER TREATMENT; PAPER SLUDGE; PULP; SOIL; PARAMETERS; NITROGEN; LITTER;
D O I
10.1002/clen.201400028
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This work presents an effective way to remove ammonium from compost using corn wastes. The study examined the role of experimental factors on the removal of ammonium using a full factor experimental design. The experimental factors and their related levels selected were as follows: Material type (corn cob and corn husk), ratio (10 and 25%), moisture (50 and 70%), and finally duration (30 and 60 days). The results were evaluated with an ANOVA test. A regression model that took into account the significant main and interaction effects was suggested. According to the optimization algorithm, the optimum levels were corn cob, 25% ratio, 50% moisture, and 60-day duration, with a removal efficiency of 91.84%. The proposed procedure is simple to implement and cost-effective.
引用
收藏
页码:1572 / 1577
页数:6
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