School of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China.
College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China.
J Environ Manage. 2023 Oct 1;343:118156. doi: 10.1016/j.jenvman.2023.118156. Epub 2023 May 25.
Pyrethroid insecticides are among urban parks' most widely used and harmful insecticides. The advanced prediction method is the key to studying the pollution and diffusion risk of plant conservation insecticides in parks. A two-dimensional advection-dispersion model was established for the North Lake of Cloud Mountain Park in the subhumid area of Hebei Province. The temporal and spatial distribution of lambda-cyhalothrin pollution required by plant growth in artificial lakes under different rainfall intensities and the time of water renewal after rainfall was simulated and predicted. According to the model efficiency (E: 0.98), mean absolute error (MAE: 0.016-0.064 cm), and root mean square error (RMSE: 0.014-0.041 cm), the prediction results showed that the model fits well. The results showed that the concentration of lambda-cyhalothrin in the artificial lake was positively correlated with the increase in rainfall intensity. Under the three scenarios of moderate rain, heavy rain, and rainstorm, the variation of total pollutants into the lake over time conformed to the first-order dynamic equation (R＞0.97), and the cumulative rates were 0.013 min, 0.019 min and 0.022 min, respectively. Under light rain, the accumulation rate of lambda-cyhalothrin showed a double-linear relationship, which was in accordance with the second-order kinetic equation (R＞0.97). The rapid accumulation rate of early-stage rainfall was 0.0024 min, and the slow accumulation rate of late-stage rainfall was 0.0019 min. The human health risk assessment predicted by the simulation was lower than the hazard value (R(a-1): 9.65 E-1.12 E a-1). However, the potential risk value to aquatic species was higher (RQ: 0.33-23.05). In addition, the increase in rainfall intensity has no significant effect on the acceleration of water renewal time. The two-dimensional dispersion model of pollutants driven by water dynamics provided relevant examples for evaluating the impact of runoff on pesticide scour in parks and supplied scientific support for improving the management of artificial lakes in urban parks.
拟除虫菊酯类杀虫剂是城市公园中使用最广泛且危害最大的杀虫剂之一。先进的预测方法是研究公园中植物保护杀虫剂污染和扩散风险的关键。建立了河北省半湿润地区云蒙山北湖水系的二维对流-弥散模型，模拟和预测了不同降雨强度和降雨后换水时间下人工湖内 lambda-氯氰菊酯污染对植物生长的时空分布要求。根据模型效率 (E: 0.98)、平均绝对误差 (MAE: 0.016-0.064 cm) 和均方根误差 (RMSE: 0.014-0.041 cm)，预测结果表明模型拟合良好。结果表明，人工湖中 lambda-氯氰菊酯的浓度与降雨强度的增加呈正相关。在中雨、大雨和暴雨三种情景下，随着时间的推移，进入湖泊的总污染物的变化符合一级动力学方程 (R＞0.97)，累积率分别为 0.013 min、0.019 min 和 0.022 min。在小雨条件下，lambda-氯氰菊酯的积累率呈双线性关系，符合二级动力学方程 (R＞0.97)。前期降雨的快速积累率为 0.0024 min，后期降雨的缓慢积累率为 0.0019 min。模拟预测的人体健康风险评估值低于危害值 (R(a-1): 9.65×10^-1.12×a-1)。然而，对水生物种的潜在风险值较高 (RQ: 0.33-23.05)。此外，降雨强度的增加对加速换水时间没有显著影响。水动力驱动的污染物二维扩散模型为评估径流水对公园中农药冲刷的影响提供了相关实例，并为改善城市公园人工湖管理提供了科学支持。
