研究报告
郑璞,丁志斌,邓正栋,汪毅.水平潜流人工湿地COD去除回归方程的建立及应用[J].环境科学学报,2011,31(9):1955-1961
水平潜流人工湿地COD去除回归方程的建立及应用
- Development and application of a regression equation for the removal of COD in horizontal subsurface flow constructed wetlands
- 基金项目：总后勤部基建营房部项目(No. 2007ZHY06057)
- 作者
- 单位
- 郑璞
- 1. 解放军理工大学工程兵工程学院, 南京 210007;
2. 中国人民解放军96528部队,北京 102202
- 丁志斌
- 解放军理工大学工程兵工程学院, 南京 210007
- 邓正栋
- 解放军理工大学工程兵工程学院, 南京 210007
- 汪毅
- 解放军理工大学工程兵工程学院, 南京 210007
- 摘要：目前对于人工湿地的研究大部分仅局限于单个湿地,其结果缺乏广泛代表性.为考察水平潜流人工湿地对于生活污水中主要污染物指标COD的去除率,建立更为详细的人工湿地回归方程,用以指导人工湿地设计,本研究按照"黑箱模型"理论,将所搜集的1500多组数据按照季节、水力负荷、种植植物类型以及气候类型分类,分析不同因素对于人工湿地去除效果的影响,确定了以季节和水力负荷作为建立回归方程的最主要分类依据.以此为基础,按照线性回归的方法,建立了COD去除率回归方程共12组,所得R2值在0.65~0.95之间,精确性有了很大提高.同时将回归方程应用于面积设计,能够对去除效果进行较好的地估计.
- Abstract：At present the majority of studies on constructed wetlands reports are limited to a single wetland and hence the results lack broad representation. In order to study the general effect of treatment of sewage using a horizontal subsurface-flow constructed wetland, a more detailed wetland regression equation needs to be established to guide the design of constructed wetlands. In this study, we used the main pollutant index COD as the indicator and classified 1500 groups of collected data in accordance with the season, hydraulic loading, planting vegetation type and climate type classification in accordance with the "black box model". We analysed different factors affecting pollutant removal by constructed wetlands, using the impact of season and hydraulic loading as the main classification criteria. On this basis, in accordance with the linear regression method, 12 groups of regression equations for COD removal were established. The goodness of fit R2 values ranged from 0.65 to 0.95, showing the accuracy had been greatly improved. Using the regression equation in the design process can better estimate the removal effect.
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