Hydro-meteorological processes driving solute transport in Lake Victoria

Q2 Environmental Science Water Science Pub Date : 2020-01-01 DOI:10.1080/11104929.2020.1722416
Seema Paul, J. Oppelstrup
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引用次数: 1

Abstract

ABSTRACT This study explores by a vertically integrated tracer transport model, hydro-meteorological event characteristics and their influence on solute transport. Changes in Hydro-meteorological processes and increasing frequency of extreme weather events are responsible for changing the lake water balance, influencing streamflow variations, and lake tracer transport. We compare historical data over a long time with model data from a vertically integrated model in COMSOL Multiphysics. We consider water balance, sources of data uncertainty, correlations, extreme rain and inflow years, and seasonal variations. The lake transport model has estimated soluble loading and transportation. The results showed there are strong correlations between tributary inflows and precipitation, and between lake outflow and water level. It was found that “events” influence lake level fluctuations. The solute transport was shown to vary more in wet periods. Modeled transportations were higher in Kenya and Uganda lake zones than in Tanzanian zones. The major inflow, from the Kagera river, appears to strongly influence lake solute transportation, so the composition of this river must be considered.
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驱动维多利亚湖溶质运移的水文气象过程
摘要:本文通过纵向一体化示踪输运模型,探讨水文气象事件特征及其对溶质输运的影响。水文气象过程的变化和极端天气事件频率的增加改变了湖泊水量平衡,影响了河流流量的变化和湖泊示踪剂的输送。我们将长期的历史数据与COMSOL Multiphysics中垂直集成模型的模型数据进行了比较。我们考虑了水平衡、数据来源的不确定性、相关性、极端降雨和入流年份以及季节变化。湖泊输运模型估计了可溶性负荷和输运。结果表明,支流流入与降水、湖泊流出与水位之间存在较强的相关性。发现“事件”影响湖泊水位波动。溶质输运在湿润期变化更大。肯尼亚和乌干达湖区的模拟运输量高于坦桑尼亚湖区。来自卡盖拉河的主要流入似乎强烈影响湖泊溶质的运输,因此必须考虑这条河的组成。
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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来源期刊
Water Science
Water Science Environmental Science-Ecology
CiteScore
3.00
自引率
0.00%
发文量
12
审稿时长
18 weeks
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