首页> 外文期刊>Archiv fur Hydrobiologie >Effect of a flood underflow on reservoir water quality: Data and three-dimensional modeling
【24h】

Effect of a flood underflow on reservoir water quality: Data and three-dimensional modeling

机译:洪水底流对水库水质的影响:数据和三维建模

获取原文
获取原文并翻译 | 示例
           

摘要

As in many of the world's reservoirs, floods provide most of the water to Lake Burragorang (Sydney, Australia). In this study a winter flood through this large (2 km(3)), long (ca. 50km) and narrow (ca. 0.5-2km) reservoir was monitored at multiple stations over several weeks. The nutrient-laden underflow took 7-8 days to travel from the river confluence to the dam and upwardly displaced the pre-flood anoxic hypolimnion. Particulate phosphorus and nitrogen, and turbidity settled at an exponential rate (0.34-0.42d(-1)) in the head of the underflow. Application of a three-dimensional model (ELCOM) with large grid sizes (200x200x1m) for reasonable run times (ca. I day) did not resolve the underflow hydrodynamics in this large, narrow and complex geometry. A technique for 'straightening' morphologies that are narrow and curvy was applied to the Lake Burragorang bathymetry to allow large model grid sizes. Simulations with the 'straightened' bathymetry had low run times and compared well with field data. Then, an aquatic ecological model (CAEDYM) was coupled to ELCOM to simulate the biogeochemical fate of the floodwaters. Simulated spatial patterns of dissolved oxygen, and filterable and particulate nutrients compared well with field data. Further, the ELCOM-CAEDYM simulation demonstrated that the dynamic spatial variations in water quality from a Eularian perspective during such flood events are dominated by transport. Settling is the dominant process in the head of the underflow from a Lagrangian frame of reference. To simulate spatial variations during a flood it is adequate to couple an accurate hydrodynamic driver to a simply configured biogeochemical model. [References: 34]
机译:与世界上许多水库一样,洪水将大部分水提供给Burragorang湖(澳大利亚悉尼)。在本研究中,在几个星期内,对多个水库进行了冬季洪水监测,该洪水遍历大型水库(约2 km(3)),长水库(约50 km)和狭窄水库(约0.5-2 km)。从河汇合处到大坝的过程中,充满营养的底流花费了7-8天的时间,并向上驱替了洪水前的缺氧断层。磷和氮的颗粒物和浊度以指数速率(0.34-0.42d(-1))沉淀在底流顶部。在合理的运行时间(约1天)内使用具有大网格尺寸(200x200x1m)的三维模型(ELCOM)不能解决这种大,窄和复杂几何形状中的底流流体动力学问题。 Burragorang湖测深仪采用了一种“拉直”狭窄且弯曲的形态的技术,以允许较大的模型网格大小。 “拉直”测深法的模拟运行时间短,并且与现场数据进行了比较。然后,将水生生态模型(CAEDYM)与ELCOM耦合以模拟洪水的生物地球化学命运。将溶解氧,可过滤和颗粒养分的模拟空间模式与现场数据进行了比较。此外,ELCOM-CAEDYM模拟表明,在此类洪水事件期间,从欧拉角度来看,水质的动态空间变化主要由运输引起。在拉格朗日基准框架中,沉降是底流顶部的主要过程。为了模拟洪水期间的空间变化,将精确的水动力驱动程序耦合到简单配置的生物地球化学模型就足够了。 [参考:34]

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号