摘要
以污泥厌氧消化、好氧发酵为代表的稳定化处理是污泥处理应用最广泛的工艺,也是与处理产物资源化处置相衔接最主要的方法。以全国十余座采用厌氧消化、好氧发酵的污泥处理厂为研究对象,分析了稳定化处理过程中污泥处理产物的转化机理和处理产物的形态、特征、稳定性及其土地利用价值。在研究污泥稳定化处理过程有机物(蛋白质、多糖等)降解过程的同时,重点探索了复杂、稳定的大分子有机质(富里酸、胡敏酸等)的合成机理,以及对土壤和植物的重要价值。这些稳定的大分子有机质因含有多种活性含氧官能团,是土壤结构的稳定剂、改良剂,重金属的固定剂,微量元素的溶解剂以及植物养料的"仓库",研究成果对污泥稳定化处理产物的资源化利用有重要价值和意义。同时结合产物中稳定的大分子有机物具有荧光特性,提出用产物中腐殖酸含量和产物的荧光复杂指数来判定产物的稳定化程度,规范了污泥稳定化程度的判定方法。
As the most widely used processes in the sludge treatment plant,anaerobic digestion and aerobic composting play an important role in the treatment products for resource utilization.In this work,more than ten sludge treatment plants using anaerobic digestion or aerobic composting process were investigated and sampled.The transformation mechanism of the sludge stabilization processes,the properties of the stabilized products and the potential value for landuse were analyzed.The synthesis mechanism of the complex organic matters（fulvic acids,humic acids）was explored as well as the the degradation mechanism of the simple organics（e.g.,carbohydrate,protein,lipid）.The results revealed that the humic-like substances,with a variety of active oxygencontaining functional groups,were deemed to the soil conditioner,heavy metal fixator,trace element solvent and nutrients warehouse,being of great significance to stabilized products for landuse.In addition,considering the fluorescence spectral characteristics of the humic-like substances,the content of humic-like substances in the products and the fluorescence complexity index were proposed to evaluate the sludge stabilization level,making the existing method normalized.
作者
梅晓洁
唐建国
张悦
Mei Xiaojie;Tang Jianguo;Zhang Yue(Shanghai Urban Construction Design ＆ Research Institute Groups Co.,Ltd.,Shanghai 200125,China;China Civil Engineering Society Water Indiutry Association,Beijing 100082,China)
出处
《给水排水》
CSCD
北大核心
2018年第11期11-19,共9页
Water & Wastewater Engineering
关键词
污泥处理
厌氧消化
好氧发酵
稳定化产物
腐殖酸
荧光复杂指数
Sludge treatment
Anaerobic digestion
Aerobic composting
Stabilized sludge product
Humie-like substances
Fluorescence complexity index
