用模拟湖泊减少评估可处理性:量化水源中干旱驱动的浑浊度

Deena Hannoun, Jeffrey Belding, Todd Tietjen, Robert Devaney
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引用次数: 1

摘要

科罗拉多河流域正在经历一场始于2000年的严重干旱。由于供水预计将继续下降,水资源管理人员开始关注米德湖水的持续可处理性。米德湖为拉斯维加斯山谷提供了90%的水源,是通往下游水源的关键一环。目前的饮用水取水口是高质量、低浊度的水;然而,浑浊度预计会增加。本研究通过量化从内华达州米德湖饮用水取水口提取的水源的预计浊度来评估可处理性。水质建模结果提供了米德湖在极端下降情况下的浊度预测,并为处理人员提供指导。基础过程整合了现有的水质数据,并确定了潜在的问题,产生了水动力和水质建模的模板,公用事业公司可以利用该模板来规划未来水源水质的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Assessing treatability with simulated lake drawdown: Quantifying drought-driven turbidity in source water

The Colorado River Basin is experiencing a significant drought that began in 2000. As water supplies are projected to continue declining, water managers are concerned with the ongoing treatability of Lake Mead water, which provides 90% of the source water for the Las Vegas Valley, and is a crucial link to downstream source water. The drinking water intake currently draws high-quality, low-turbidity water; however, turbidity is projected to increase. This study assesses treatability by quantifying projected turbidity of source water withdrawn from a drinking water intake in Lake Mead, Nevada. The water quality modeling results provide projections for Lake Mead water turbidities in the case of extreme drawdown and provide guidance for treatment staff. The underlying process incorporated existing water quality data and identified potential problems, yielding a template for hydrodynamic and water quality modeling that utilities can take advantage of to plan for future changes in source water quality.

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