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微污染河水旁路复氧修复效果及污染物去除动力学特征 被引量:1

Purification Efficiencies and Kinetic Characteristics of Pollutant Removal in a Bypass Reoxygenation System Treating Micro-Polluted River Water
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摘要 为改善受污河流水质,保障小城镇饮用水安全,在野外条件下构建DW(跌水池)、SW(深水池)和QW(浅水池)3种装置对微污染河流进行旁路复氧修复,考察不同装置对污染物的去除效果及进水污染物负荷及水力负荷对污染物去除的影响.结果表明,3种旁路复氧修复装置在较高进水ρ(DO)情况下,能够进一步提升ρ(DO),复氧作用表现为QW>DW>SW.DW、SW和QW对NH4+-N、TN、TP和CODMn的平均去除率分别为39.5%~41.8%、1.0%~25.8%、13.8%~16.4%和6.4%~8.8%.污染物出水浓度和进水负荷具有较强的线性关系(R2>0.8);随着水力负荷的降低,污染物去除效果均有所提升.一级动力学模型可以较好地模拟修复系统中水力负荷与污染物去除的关系(R2>0.9). In order to improve the water quality of a polluted river and guarantee the safety of drinking water in small towns, three identical bypass reoxygenation systems- cascading pool(DW) ,deep pool(SW) and wading pool(QW) - were constructed to purify micro-polluted river water under field conditions. The purification efficiencies of the pollutants in the three experimental systems and the influence of pollutant and hydraulic loading during the process were invesigated. The results indicated that the concentration of DO was elevated when the influent had a high concentration of DO in all three systems,and the reoxygenation effect was QW 〉 DW 〉 SW. The average removal efficiencies of ammonium ( NH4 ~ -N ) , total nitrogen (TN) , total phosphorus (TP) and permanganate index ( CODM. ) in DW, SW and QW were 39.5% -41.8% , 1.0% - 25.8% , 13.8% - 16. 4% and 6.4% - 8.8% , respectively. The results also indicated a significant linear correlation between influent loading and effluent concentration of pollutants ( R2 〉 0. 8 ). The removal efficiencies of pollutants increased with the decrease of hydraulic loading. The relationship between hydraulic loading and purification efficiencies could be simulated well by a kinetic model for pollutant removal in the experimental system(R2 〉0. 9).
机构地区 重庆大学
出处 《环境科学研究》 EI CAS CSCD 北大核心 2012年第7期791-797,共7页 Research of Environmental Sciences
基金 国家水污染控制与治理科技科技重大专项(2009ZX07104-005-004-001) 重庆市环境保护局环保科技计划项目(2011第12号)
关键词 微污染河水 旁路复氧 动力学模型 净化效果 micro-polluted river bypass reoxygenation kinetic model purification efficiencies
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