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The Impact of Rainfall Events on Dissolved Oxygen Concentrations in a Subtropical Urban Reservoir.

ENVIRONMENTAL RESEARCH(2024)

Chinese Acad Sci | Norwegian Inst Water Res

Cited 1|Views23
Abstract
Understanding controls of dissolved oxygen (DO) concentrations in reservoirs is important as they are important for fisheries and a significant driver of greenhouse gas emissions. The latter is of global significance as IPCC inventories now require greenhouse gas emissions from artificial reservoirs to be included. Declines in dissolved oxygen (DO) concentrations in lakes and reservoirs have been linked to climate change and human activity. However, these effects can vary widely in any given region under various meteorological conditions. There is a clear need to know how changes in weather patterns affect DO in reservoirs by changing internal processes. Based on a six-year (2016-2021) high-frequency (twice a week) dataset from a shallow urban reservoir (Xinglinwan Reservoir) in subtropical China, the long-term (six years) and short-term (8-72-h) drivers of DO concentrations in surface waters were evaluated. Over the past six years, the concentration of DO has gradually decreased in the reservoir from 2016 to 2021. Multivariate adaptive regression spline (MARS) models were developed to identify the key factors explaining variability in DO and partial least squares path models (PLS-PM) were used to explore the short-term relationships between DO and environmental variables in rainy and dry (non-rain) periods, separately. We identified three key drivers operating on different time scales. First, the longterm decline of DO in Xinglinwan Reservoir from 2016 to 2021 was best explained by anthropogenic nutrient inputs. Second, rainy periods prior to sampling reduced DO concentrations indirectly by affecting the algal biomass and nutrient concentrations. This effect varied in complexity with the duration of the rainfall period. Third, water temperature best explained DO concentrations during dry periods, while wind reduced DO by reducing algal biomass. We conclude that anthropogenic nutrient and organic matter inputs drive long-term oxygen declines in urban subtropical reservoirs, while meteorological factors determine short-term variability in DO concentrations.
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Key words
Subtropical reservoir,Hypoxia,Urbanization,Precipitation,Climate change
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要点】:研究明确了亚热带城市水库溶解氧浓度长期下降和短期变化的主要驱动因素,发现人为营养输入导致长期下降,而气象因素影响短期波动。

方法】:采用多元自适应回归样条(MARS)模型识别溶解氧浓度变化的关键因素,并利用偏最小二乘路径模型(PLS-PM)分析干湿期环境变量与溶解氧的短期关系。

实验】:通过2016至2021年六年时间的高频(每周两次)数据集,对中国亚热带地区的兴林湾水库表面水溶解氧浓度进行了评估,发现溶解氧浓度逐年下降。