王佳儿,崔远来,张博超,等. 基于EFDC模型的表面流人工湿地水力性能和净化效果影响因素分析[J]. 农业工程学报,2024,40(7):172-181. DOI: 10.11975/j.issn.1002-6819.202306019
    引用本文: 王佳儿,崔远来,张博超,等. 基于EFDC模型的表面流人工湿地水力性能和净化效果影响因素分析[J]. 农业工程学报,2024,40(7):172-181. DOI: 10.11975/j.issn.1002-6819.202306019
    WANG Jiaer, CUI Yuanlai, ZHANG Bochao, et al. Factors affecting the hydraulic performance and purification efficiency of free-water-surface constructed wetlands based on EFDC model[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2024, 40(7): 172-181. DOI: 10.11975/j.issn.1002-6819.202306019
    Citation: WANG Jiaer, CUI Yuanlai, ZHANG Bochao, et al. Factors affecting the hydraulic performance and purification efficiency of free-water-surface constructed wetlands based on EFDC model[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2024, 40(7): 172-181. DOI: 10.11975/j.issn.1002-6819.202306019

    基于EFDC模型的表面流人工湿地水力性能和净化效果影响因素分析

    Factors affecting the hydraulic performance and purification efficiency of free-water-surface constructed wetlands based on EFDC model

    • 摘要: 为探究长宽比、水深和水力负荷对表面流人工湿地水力性能和净化效果的影响及其定量关系,采用EFDC (Environmental Fluid Dynamics Code)模型建立表面流人工湿地水动力-水质耦合模型并对模型进行率定和验证,基于构建的模型设置3因素6水平的全因子模拟试验,通过分析216组试验结果研究湿地长宽比、水深和水力负荷及其交互作用对湿地水力性能和净化效果的影响,进而采用多元非线性回归模型将多因子影响与7个评价指标之间建立定量关系。结果表明:长宽比、水深和水力负荷之间的交互作用对水力性能和净化效果均有显著影响。构建的参数与评价指标的回归模型说明水力效率、有效容积率和莫里尔离散指数与长宽比呈指数相关,总氮浓度去除率与水深呈指数相关,回归方程的建模决定系数均大于0.9,经试验数据验证的相对误差在20%以下,说明模型是可靠的。研究为表面流人工湿地设计和运行提供依据。

       

      Abstract: To investigate the effects of aspect ratio, water depth, and hydraulic loading rate (HLR) on the performance of free-water-surface constructed wetlands (FWS CWs) and their quantitative relationships, this study established a hydrodynamic-water quality coupling model for free-water-surface constructed wetlands by Environmental Fluid Dynamics Code (EFDC), and the model was calibrated and validated. Based on the constructed model, a full factor simulation experiment with 3 factors and 6 levels was set up. By analyzing 216 sets of experimental results, the impacts of wetland aspect ratio, water depth, HLR, and their interactions on wetland hydraulic performance and purification effect were studied. Then, a multivariate nonlinear regression model was used to establish a quantitative relationship between the multi-factor impact and 7 indicators. In August and September 2021, wetland tests were conducted at the Hubei Provincial Irrigation Experiment Center Station in Zhanghe Irrigation District, Jingmen City, Hubei Province (30° 50'N, 112° 11'E). A total of 9 free-water-surface constructed wetlands were used for the experiment. Plant species (lotus, water bamboo, cattail) and aspect ratio (2, 4, 8) were designed as 2 factors with 3 levels each. Tracer tests were used to study the hydraulic characteristics of water flow. The hydraulic performance evaluation indicators included effective volume ratio, hydraulic efficiency, Morril dispersion index (MDI), moment index (MI) and short-circuit index φ10. The purification effect test mainly reflected the purification effect of wetlands on pollutants by measuring the water quality concentration at the inlet and outlet. Removal rate and mass removal rates per cubic meter were considered as purification efficiency indicators. An EFDC model suitable for free-water-surface constructed wetlands was constructed based on the test data. Based on the EFDC model, a full factor simulation test was conducted with aspect ratio, water depth, and HLR as design factors, with 6 levels for each factor. Regression equations were constructed between the evaluation indicators and design parameters based on the results of the full factor test. The results showed that the interactions between aspect ratio, water depth, and HLR were significant on the hydraulic performance and purification efficiency. The regression model of the constructed parameters and evaluation indicators showed that hydraulic efficiency, effective volume ratio, and MDI were exponentially correlated with aspect ratio, while the removal rate of total nitrogen(TN) was exponentially correlated with water depth. The modeling determination coefficients of the regression equation were all greater than 0.9, and the relative error verified by another tests in 2022 was below 20%, indicating that the model was reliable. The results could provide valuable information for the design and operation of surface flow artificial wetlands.

       

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