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改良多介质土壤层系统对污染河水的脱氮效果
引用本文:李森,叶海,陈昕,薛峰,王同成.改良多介质土壤层系统对污染河水的脱氮效果[J].农村生态环境,2012(5):569-573.
作者姓名:李森  叶海  陈昕  薛峰  王同成
作者单位:[1]安徽工业大学建筑工程学院,安徽马鞍山243002 [2]环境保护部南京环境科学研究所,江苏南京210042
基金项目:国家水体污染控制与治理重大科技专项(2009ZX07102-003)
摘    要:针对多介质土壤层系统(MSL)反硝化不足导致总氮去除效果不明显的问题,采用非水溶性可生物降解多聚物PBS固相碳源,优化MSL系统空间结构(下部空间结构由砖砌改为层铺),研究改良MSL系统对污染河水的脱氮效果。结果表明,与木屑作碳源的MSL系统相比,PBS颗粒碳源反硝化效果更好,对TN的去除率达64.3%,提高20.6百分点;优化MSL系统下部空间后,TN去除率由43.7%提高至71.7%,且运行期间系统未出现堵塞情况。添加PBS颗粒碳源和优化系统空间结构,对COD、NH3-N和TP去除效果影响不大。

关 键 词:多介质土壤渗滤系统  强化脱氮  PBS颗粒碳源  空间结构优化

Use of a Modified Multi-Soil-Layering System to Remove Nitrogen From Polluted River Water.
LI Sen,YE Hai,CHEN Xin,XUE Feng,WANG Tong-cheng.Use of a Modified Multi-Soil-Layering System to Remove Nitrogen From Polluted River Water.[J].Rural Eco-Environment,2012(5):569-573.
Authors:LI Sen  YE Hai  CHEN Xin  XUE Feng  WANG Tong-cheng
Institution:2 ( 1. Anhui University of Technology, Ma' anshan 243002, China; 2. Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China)
Abstract:To solve the problem that the MSL system can not efficiently remove TN from polluted river water because of inadequate denitrifieation therein, the system was modified by using solid carbon from non-water-soluble, biodegradable PBS and optimizing its spatial structure. To determine nitrogen-removal effect of the modified MSL system, an experiment was carried out to compare the modified one with an old one using sawdust carbon, showing that granular PBS carbon is much better in denitrifieation effect, thus raising the TN removal rate up to 64. 3%, 20. 6 perentage point higher than the one u- sing sawdust carbon, and the optimization of the spatial structure of the system uplifted TN removel efficiency from 43.7% to 71.7%, Moreover, the system worked more smoothly and free of clogging. However, the modification did not have any obvious effect on removal of organic matter, phosphorous and ammonia nitrogen.
Keywords:muhi-soil-layering treatment (MSL) system  nitrogen removal enhancement  PBS-sourced carbon  spatial structure optlmlzation
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