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多级串联表面流库塘-湿地净化农田径流效果评价
引用本文:肖雨涵,项颂,李丹,庞燕,黄天寅,王坤.多级串联表面流库塘-湿地净化农田径流效果评价[J].环境科学研究,2019,32(11):1886-1894.
作者姓名:肖雨涵  项颂  李丹  庞燕  黄天寅  王坤
作者单位:中国环境科学研究院,北京 100012;苏州科技大学环境科学与工程学院,江苏 苏州 215009;中国环境科学研究院,北京,100012;苏州科技大学环境科学与工程学院,江苏 苏州,215009
基金项目:国家水体污染控制与治理科技重大专项(No.2017ZX07301006006)
摘    要:农田径流已成为湖泊流域非点源污染治理的主要制约因素.为研究多级串联表面流库塘-湿地中各级表面流湿地对洱海流域农田径流水体的净化效果,以大理市喜洲镇美坝村新建的多级串联表面流库塘-湿地为研究对象,跟踪监测其各级表面流湿地进、出水中ρ(TN)、ρ(NO3--N)和ρ(TP),分析水质净化效果及营养盐质量浓度沿程变化规律.结果表明:①多级串联表面流库塘-湿地出水ρ(TN)、ρ(NO3--N)和ρ(TP)平均值分别为1.77、1.18和0.05 mg/L,低于GB 3838—2002《地表水环境质量标准》中Ⅴ类标准限值,TN、NO3--N和TP去除率分别为57.75%、65.54%和67.43%.②农田径流在经过沉淀池、一级和二级表面流湿地后,对TN、NO3--N和TP的去除率已分别达45.35%、52.21%和50.59%,且二级表面流湿地中出水ρ(TN)、ρ(NO3--N)和ρ(TP)分别为2.36、1.69和0.06 mg/L,已达到较好的出水水质.③氮、磷营养盐质量浓度沿程削减模型拟合结果表明,指数削减模型较适宜表征TN、NO3--N在多级串联表面流库塘-湿地中的沿程削减过程,而TP的最佳削减模型为线性削减模型.研究显示,多级串联表面流库塘-湿地对农田径流具有较好的净化效果,其对营养盐净化作用主要体现在前两级表面流湿地. 

关 键 词:    农田径流  多级串联表面流库塘-湿地  沿程削减模型
收稿时间:2018/9/11 0:00:00
修稿时间:2019/2/16 0:00:00

Evaluation of Multi Stage Series Surface Flow Pond-Wetland for Agricultural Low Pollution Water Purification
XIAO Yuhan,XIANG Song,LI Dan,PANG Yan,HUANG Tianyin and WANG Kun.Evaluation of Multi Stage Series Surface Flow Pond-Wetland for Agricultural Low Pollution Water Purification[J].Research of Environmental Sciences,2019,32(11):1886-1894.
Authors:XIAO Yuhan  XIANG Song  LI Dan  PANG Yan  HUANG Tianyin and WANG Kun
Affiliation:1.Chinese Research Academy of Environmental Sciences, Beijing 100012, China2.School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
Abstract:Farmland runoff has become the main constraint factor for non-point source pollution control in lake basins. In order to study the purification effect of multi-stage series surface flow reservoir pond-wetland on the farmland runoff in Erhai, total nitrogen (TN), nitrate nitrogen (NO3--N), total phosphorus (TP) concentration changes in the inlet and outlet of each surface flow wetland unit of the multi-stage series surface flow reservoir pond-wetland in Xizhou village was monitored, and the purification effect of each wetland and the pollutant concentration at each stage were analyzed. The results indicated:(1) The effluent quality reached the Environmental Quality Standard for Surface Water (GB 3838-2002) Class Ⅴ, and the mean values of ρ(TN), ρ(NO3--N) and ρ(TP) were 1.77, 1.18, 0.05 mg/L, respectively. The average removal rate of TN, NO3--N and TP of the multi-stage series surface flow reservoir pond-wetland was 57.75%, 65.54% and 67.43%, respectively. (2) The farmland runoff flowed through the sedimentation tank, the first-stage and the second-stage surface flow wetlands, the average removal rate of TN, NO3--N and TP was 45.35%, 52.21%, 50.59%, respectively. The purification effect of nutrients was mainly in the first two sets of this system. The effluent ρ(TN), ρ(NO3--N) and ρ(TP) of the second surface flow wetland were 2.36, 1.69 and 0.06 mg/L. The effluent quality was good for the multi-stage series surface flow reservoir pond-wetland that used to purify farmland runoff, the proposed series design should not be excessive. (3) We established linear, quadratic polynomial and exponential models which related to the inlet concentration of the pond-wetland system. The model fitting results of the reduction of nitrogen and phosphorus concentrations along the path showed that the exponential model the most suitable for the characterization of the reduction process of TN, NO3--N, and the characterization of the reduction process of TP fit the linear model, in this multi-stage series surface flow reservoir pond-wetland. The model is expected to provide a theoretical basis for the follow-up wetland design and water quality prediction. According to the study, the multi-stage series surface flow reservoir pond-wetland showed a good purification effect on farmland runoff, and its purification effect on nutrients was mainly carried out in the first two surface flow wetlands. 
Keywords:nitrogen  phosphorus  farmland runoff  multi-stage series surface flow reservoir pond-wetland  purification model gradually
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