McAndrew Brendan, Ahn Changwoo
Department of Environmental Science and Policy, George Mason University, 4400 University Drive, Fairfax, VA 22030, USA.
Department of Environmental Science and Policy, George Mason University, 4400 University Drive, Fairfax, VA 22030, USA.
J Environ Manage. 2017 Nov 1;202(Pt 1):198-207. doi: 10.1016/j.jenvman.2017.07.035. Epub 2017 Jul 20.
An ecosystem model was developed to assist with designing and implementing a floating wetland (FW) for water quality management of urban stormwater ponds, focusing on nitrogen (N) removal. The model is comprised of three linked submodels: hydrology, plant growth, and nitrogen. The model was calibrated with the data that resulted from a FW constructed and implemented as part of an interdisciplinary pedagogical project on a university campus, titled "The Rain Project", which raised awareness of stormwater issues while investigating the potential application of green infrastructure for sustainable stormwater management. The FW had been deployed during the summer of 2015 (i.e., May through mid-September) on a major stormwater pond located at the center of the Fairfax Campus of George Mason University near Washington, D.C. We used the model to explore the impact of three design elements of FW (i.e., hydraulic residence time (HRT), surface area coverage, and primary productivity) on the function of FW. Model simulations showed enhanced N removal performance as HRT and surface area coverage increased. The relatively low macrophyte productivity observed indicates that, in the case of our pond and FW, N removal was very limited. The model results suggest that even full pond surface coverage would result in meager N removal (∼6%) at a HRT of one week. A FW with higher plant productivity, more representative of that reported in the literature, would require only 10% coverage to achieve similar N removal efficiency (∼7%). Therefore, macrophyte productivity appears to have a greater impact on FW performance on N removal than surface area coverage or pond HRT. The outcome of the study shows that this model, though limited in scope, may be useful in aiding the design of FW to augment the performance of degraded stormwater ponds in an effort to meet local water quality goals.
开发了一种生态系统模型,以协助设计和实施用于城市雨水池塘水质管理的浮动湿地(FW),重点是氮(N)的去除。该模型由三个相互关联的子模型组成:水文、植物生长和氮。该模型使用的数据进行了校准,这些数据来自作为大学校园跨学科教学项目“雨水项目”一部分构建和实施的浮动湿地,该项目在调查绿色基础设施在可持续雨水管理中的潜在应用时提高了对雨水问题的认识。该浮动湿地于2015年夏季(即5月至9月中旬)部署在华盛顿特区附近乔治梅森大学费尔法克斯校区中心的一个主要雨水池塘上。我们使用该模型来探索浮动湿地的三个设计要素(即水力停留时间(HRT)、表面积覆盖率和初级生产力)对浮动湿地功能的影响。模型模拟表明,随着HRT和表面积覆盖率的增加,氮去除性能增强。观察到的相对较低的大型植物生产力表明,就我们的池塘和浮动湿地而言,氮去除非常有限。模型结果表明,即使整个池塘表面被覆盖,在一周的HRT下,氮去除量也将很少(约6%)。具有更高植物生产力的浮动湿地,更符合文献报道的情况,只需10%的覆盖率就能实现类似的氮去除效率(约7%)。因此,大型植物生产力似乎对浮动湿地的氮去除性能比表面积覆盖率或池塘HRT有更大的影响。研究结果表明,该模型虽然范围有限,但可能有助于辅助浮动湿地的设计,以提高退化雨水池塘的性能,努力实现当地水质目标。