基于数值模型的动态模拟和不规则的浅城市湖泊中缩的因果机制
Bingbing Guo1,2, Qian Zhang1,2, Yun Hou1,2
1College of Hydraulic Engineering, Tianjin Agricultural University, Tianjin, China.
概括
湖泊的形状显著影响城市湖泊的环氧化风险. 具有高湖形指数 (LSI) 的不规则形状导致水交换不良,营养积累和藻类繁殖增加,需要定制的管理策略.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 欧洲化研究研究 欧洲化研究
背景情况:
- 城市不规则的浅湖面临复杂的污染动态,由于的海岸线和深度变化.
- 非点和内部污染源相互作用,导致难以管理的频繁缩事件.
研究的目的:
- 调查湖泊形态学对水力动力学条件和城市湖泊中环氧化风险的影响.
- 建立和验证美江湖的合水力动力学水质模型.
主要方法:
- 使用MIKE 21开发了一个二维的水力动力和水质合模型.
- 利用广泛的现场测量 (2024年4月至9月) 进行模型校准和验证.
- 引入了湖形状指数 (LSI) 来量化湖泊形态,并分析其对水质参数 (总,总,叶绿素a) 的影响.
主要成果:
- 该模型显示出高可靠性 (纳什系数≈0.9).
- 湖泊形态显著影响水力动力学条件和化风险.
- 不规则的湖泊形状 (高LSI) 与较低的流速,较差的水交换,营养积累和较高的叶绿素a度相关.
- 甲度与LSI,水温和总有正相关,与流速和溶解氧有负相关.
结论:
- 湖泊形态是影响城市湖泊环氧化水平的关键因素.
- 一个单位的LSI增加将平均流速降低35%,并增加了4.1%的轻化.
- 这些发现为基于城市景观湖泊形状的差异化管理和生态恢复提供了科学基础.
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