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水理和水化学因素对 Coursey 池塘蓝藻水华的控制作用(美国特拉华州)。

Hydrophysical and Hydrochemical Controls of Cyanobacterial Blooms in Coursey Pond, Delaware (USA).

出版信息

J Environ Qual. 2019 Jan;48(1):73-82. doi: 10.2134/jeq2018.03.0108.

DOI:10.2134/jeq2018.03.0108
PMID:30640342
Abstract

Noxious cyanobacterial blooms are common in many ponds in the mid-Atlantic Coastal Plain. In Delaware, blooms normally occur between July and October, yet no in-depth analyses of the causes and predictors exist. A study using commercially available, high-frequency, continuous, and automated biogeochemical sensors at Coursey Pond, Delaware, a pond known for perennial summer blooms, was conducted to investigate how hydrophysical and hydrochemical conditions affect bloom dynamics. Cyanobacterial abundance (based on the in vivo phycocyanin fluorescence and phycocyanin/chlorophyll fluorescence ratios) increases during periods of high water temperatures (up to 32°C), low discharge through the pond (mean hydraulic residence time ≥5 d) with evaporative concentration of dissolved solids, and decreasing NO concentrations (reaching <0.1 mg L, the detection limit). These conditions lead to the uptake and depletion of bioavailable N in the pond surface waters and provide a competitive advantage for temperature-tolerant and N-fixing cyanobacteria. Irrigation water use within the watershed can exceed pond discharge during drier summer months, enhancing bloom-forming conditions. Bloom intensity varies due to storms but persists until mid-October to mid-November when temperatures cool, daylength decreases, and discharge and NO concentration recovers. Changes in these easily monitored physical and chemical parameters can serve to anticipate the onset, intensity, persistence, and the eventual dissipation of cyanobacterial blooms at Coursey Pond and similar ponds elsewhere. Therefore, the use of sensors and high-frequency data has the potential to assist in forecasting and management of blooms.

摘要

有毒蓝藻水华在大西洋中部沿海平原的许多池塘中很常见。在特拉华州,水华通常发生在 7 月至 10 月之间,但目前还没有关于其成因和预测因素的深入分析。本研究使用了可商购的、高频的、连续的和自动化的生物地球化学传感器,该传感器位于 Coursey 池塘,特拉华州,该池塘以常年夏季水华而闻名,旨在研究水热和水力条件如何影响水华动态。蓝藻丰度(基于体内藻蓝蛋白荧光和藻蓝蛋白/叶绿素荧光比)在高温期(高达 32°C)、通过池塘的低流量(平均水力停留时间≥5 天)、溶解固体的蒸发浓缩以及 NO 浓度下降(达到<0.1 mg L,检测限)期间增加。这些条件导致池塘表面水中的生物可利用氮被吸收和耗尽,并为耐高温和固氮蓝藻提供了竞争优势。流域内的灌溉用水在较干燥的夏季月份可能超过池塘的排放量,从而增强了水华形成的条件。水华强度因风暴而异,但会持续到 10 月中旬至 11 月中旬,此时气温下降、日照时间缩短,以及流量和 NO 浓度恢复。这些易于监测的物理和化学参数的变化可以用来预测 Coursey 池塘和其他类似池塘的水华的发生、强度、持续时间和最终消散。因此,传感器和高频数据的使用有可能有助于预测和管理水华。

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