| 杜彦良,张双虎,王利军,毛战坡,马晓宇.人工湿地植物水质净化作用的数值模拟研究[J].水利学报,2020,51(6):675-684 |
| 人工湿地植物水质净化作用的数值模拟研究 |
| Numerical simulation of water purification effects of aquatic plant in artificial surface flow wetland |
| 投稿时间：2020-01-06 |
| DOI：10.13243/j.cnki.slxb.20200010 |
| 中文关键词: 表面流湿地 湿地植物水质净化 MIKE21-EcoLab模型 湿地氮磷去除率 永年洼 |
| 英文关键词: surface flow wetland purification function of wetland vegetation MIKE21-EcoLab removal rates of Nitrogen and Phosphorus in wetland Yongnianwa wetland |
| 基金项目:国家水体污染控制与治理科技重大专项（2017ZX07101004）；国家重点研发计划项目（2017YFC0405804）；中国水利水电科学研究院重大水利工程水生态安全保障及调控技术研究创新团队项目（WE0145B592017） |
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| 中文摘要: |
| 研究区域永年洼湿地面临生态退化、水污染严重等问题，已通过人工种植湿地植物进行生态修复及水质改善。永年洼连续2年的水质监测结果表明，随着湿地植物的种植和生长，洼内水体的氨氮（NH3-N）、总氮（TN）、总磷（TP）等都有不同程度的下降。本文根据湿地植物对水质的作用机理，通过MIKE模型的EcoLab中水质过程自定义及编辑功能，基于湿地植物的泌氧、细菌活性增加和植物吸收作用下水化学反应过程，构建"WQ+Veg"水质模块，耦合MIKE21水动力结果，模拟永年洼人工湿地种植前后湖区流速及NH3-N、TN、TP等水质指标的变化。在有加密监测的断面上，模拟有植物的2017年情景相比无植物的2016年情景，NH3-N、TN和TP平均下降了14.9%、7.33%和14.3%，与监测结果较为一致。在永年洼出水口处2017年相比2016年，NH3-N、TN和TP的去除率提高了7.2%、5.3%和9.1%。模型描述的反应过程清晰，可考虑湿地植物类型、分布、面积等条件下水质氮磷的响应，为大尺度湿地修复的布局及设计提供研究工具，同时为湿地水质净化效果评估提供依据。 |
| 英文摘要: |
| Yongnianwa wetland is suffered by the ecological degeneration and serious water pollution. The wetland vegetation was planted for ecological restoration and water quality improvement in Yongnianwa. A 2-year water quality monitoring was carried out in 2016 and 2017. The concentration of ammonia nitrogen (NH3-N), total nitrogen(TN), and total phosphorus (TP) has decreased with the planting and growth of wetland vegetation. Based on the active processes between vegetation and water, a "WQ+Veg" module of Ecolab coupling with MIKE21 was defined and edited for the water quality modeling in wetland. The model was applied to simulate the water hydrodynamics and quality changes before and after the vegetation planted. The computed NH3-N, TN, and TP concentration with vegetation by an average of 14.9%, 7.33%, and 14.3% compared to those without vegetation in the high-density monitoring area, which are in agreement with the monitoring data. The simulated results show reliable accuracy for water quality modeling in wetlands. The total removal rates of NH3-N, TN, and TP at outlet in 2017 have increased by 7.3%, 5.3%,and 9.1% compared to those in 2016. The model has a clear description of vegetation species,distribution and densities effects on hydrodynamic and biochemistry processes, and it provides a research tool for planning and designing large-scale wetland restoration, as well as for the scientific assessment of water purification functions of wetland. |
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