A three-dimensional coupled hydrodynamic-biogeochemical model was applied to simulate and investigate causes of eutrophication in two stormwater ponds in the City of Edmonton (Alberta, Canada). The ponds differ in shape, surface area, depth and trophic state. Strong spatial gradients, in water column thermal structure and water quality state variables were observed (e.g., ∼10 °C; 0.1 mg L⁻¹ PO₄, 0.5 mg L⁻¹ total P and 50 μg L⁻¹ chlorophyll-a over ∼3m), showing the ponds were incompletely mixed systems. Using a single set of calibration parameters, which differed from calibrations to larger systems, the model accurately simulated these gradients, with errors being highest for NO₃ and total chlorophyll-a (RMSE <64.3 μg L⁻¹ and NRMSE<0.94. Simulation of total chlorophyll-a was at times visually inaccurate, particularly in the more eutrophic pond, but the normalized metrics (e.g., NRMSE) were consistent between ponds and with literature values. The model accurately predicted the trophic state (in more than 60% of the observations) and the distribution of phytoplankton community structure was simulated with marginal error (average ∼7%). Chlorophyll-a alone was not a suitable index to define trophic state in the ponds; suspended algae and macro-algae reduced pond aesthetics, while competing with phytoplankton for nutrients and was coincident with lower phytoplankton biomass and increased water clarity. Simulated remediation strategies, involving reduction of influent phosphorus and nitrogen fractions, showed that the trophic state of each pond could be improved from mesotrophic/eutrophic to oligotrophic/mesotrophic states by reducing nutrient loads at least 50%.

应用三维耦合的水动力-生物地球化学模型来模拟和调查埃德蒙顿市（加拿大艾伯塔省）的两个雨水池中富营养化的原因。池塘的形状、表面积、深度和营养状态各不相同。强的空间梯度，在水柱热结构和水的质量的状态变量进行观察（例如，〜10℃; 0.1毫克的L ^-1 PO ₄，0.5毫克的L ^-1全P和50μg大号^-1受叶绿素一个以上〜 3m)，显示池塘是不完全混合的系统。该模型使用一组不同于大型系统校准的校准参数，准确地模拟了这些梯度，NO _{3 的}误差最大和总叶绿素a（RMSE <64.3 μg L ^-1和 NRMSE<0.94。总叶绿素a 的模拟有时在视觉上不准确，特别是在富营养化的池塘中，但标准化的指标（例如，NRMSE）在池塘之间是一致的并与文献值。该模型准确地预测营养状态（在观察的60％以上）和浮游植物群落结构的分布进行了模拟与边际误差（平均~7％）。叶绿素一个单独不是一个合适的指标来定义池塘中的营养状态；悬浮藻类和大型藻类降低了池塘的美感，同时与浮游植物竞争养分，同时与较低的浮游植物生物量和增加水的透明度相吻合。涉及减少进水磷和氮部分的模拟修复策略表明，通过减少至少 50% 的养分负荷，每个池塘的营养状态可以从中营养/富营养状态改善为贫营养/中营养状态。