摘要
通过一年半的实验,对比研究了不同运行方式下垂直潜流人工湿地对高污染河水氮磷的去除特性,并分析了各种因素对潮汐流人工湿地(TF CW)脱氮除磷的影响作用。结果表明:潮汐流的运行方式能够提高系统对氮磷的去除效果,其对总氮(TN)、氨氮(NH_4^+-N)、总磷(TP)和磷酸盐(PO_4^(3-)-P)的平均去除率分别为37.6%、51.6%、54.1%和41.4%;系统对氮磷的去除效果表现出显著的四季性差异(P<0.05),系统在夏季的效果最好,冬季最差;且系统对TN、NH_4^+-N、TP、PO_4^(3-)-P的去除与进水负荷有较强的相关性;运用冗余分析(RDA),得出水环境因子对氮磷去除负荷的影响作用,其中TN去除负荷与悬浮性颗粒物浓度(ρ(SS))、碳源浓度、温度(T)呈正相关,且相关性依次增大,而与溶解氧浓度(ρ(DO))则呈负相关性;NH_4^+-N去除负荷与氧化还原电位(ORP)、ρ(DO)均呈正相关,且相关性依次增大;TP去除负荷与pH、ρ(SS)均呈正相关,且相关性相近;PO_4^(3-)-P去除负荷与pH呈正相关,且相关性极为显著。
Through one and a half years＇ experiments, the characteristic of nutrients removal in vertical flow constructed wetland for highly polluted river water treatment have been studied under different operation conditions. The effects of different impact factors were also investigated. The results indicated that tidal flow can improve the nutrients removal, and the annual average removal rate of TN, NH4^＋-N, TP and PO4^3--P was 37.6%, 51.6%, 54.1% and 41.4%, respectively. Moreover,the nutrients removal efficiencies in the system were quite different throughout the year（P〈0.05）, the removal rate was the highest in summer and lowest in winter. A significantly correlation between the removal loadings of TN, NH4^＋-N, TP and PO4^3--P with the influent loading were also found. Additionally, redundancy analysis（RDA） was used to analyze the effects of water environment factors on the nutrients removal. The results showed that SS, carbon source and temperature had positive correlations with TN removal, and the coefficients increased successively, but DO concentration had a negative correlation with total nitrogen removal. However, DO concentration had a better coefficient with NH4^＋-N removal than ORP. The correlations between pH and SS with TP removal were nearly the same. pH had an extremely positive correlation with PO4^3--P removal.
出处
《环境科学与技术》
CAS
CSCD
北大核心
2017年第12期32-37,共6页
Environmental Science & Technology
基金
陕西省社发重点项目(2011KTZB03-03-03)
国家水体污染控制与治理科技重大专项(2014ZX07305-002-01)
关键词
潮汐流人工湿地
高污染河水
影响因素
冗余分析
tidal flow constructed wetland
highly polluted water
impacted factors
redundancy analysis
