摘要
河湖水环境变化具有动态复杂性和不确定性,为治理好河湖水环境,采用水动力模型,模拟了水体中溶解氧、氨氮和总磷的时空分布,评估水体的健康状况,并识别潜在的环境风险。通过不同治理方案的模拟,量化了治理效果,并与传统的生态修复、微生物处理、植物修复以及化学处理等方法进行了对比研究。结果显示,总磷浓度从治理前的0.10mg/L降至治理后的0.08mg/L。这说明基于水动力模型的预测和评估方法有助于降低治理风险,优化资源配置,提高治理的效率和成本效益,为河湖水环境治理策略提供了科学依据,为水体健康管理提供了有益的参考。
To explore the changes in the water environment of rivers and lakes and provide scientific basis and decision-making suggestions,a hydrodynamic model was adopted to simulate the spatiotemporal distribution of dissolved oxygen,ammonia nitrogen,and total phosphorus in the water,evaluate the health status of the water,and identify potential environmental risks.Through simulation of different treatment schemes,the treatment effects were quantified and compared with traditional ecological remediation,microbial treatment,plant remediation,and chemical treatment methods.The total phosphorus concentration decreased from 0.10mg/L before treatment to 0.08mg/L after treatment.The prediction and evaluation methods based on hydrodynamic models can help reduce governance risks,optimize resource allocation,improve governance efficiency and cost-effectiveness,and provide useful references for water health management.
作者
朱德龙
张隽超
Zhu Delong;Zhang Junchao(Water Conservancy Project Management Office of the Taihu Lake Area,Suzhou,Jiangsu 215128;Suzhou Wujiang District Water Authority,Suzhou,Jiangsu 215200)
出处
《现代工程科技》
2024年第6期77-80,共4页
Modern Engineering Technology
关键词
河湖水环境
水动力模型
生态修复
微生物处理
水体健康
river and lake water environment
hydrodynamic model
ecological restoration
microbial treatment
water health