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在极端降水下流出的细菌积累动态

Xinyan Xiao¹, Weifeng Zhang¹, Wenling Chen¹

¹College of the Environment & Ecology, Xiamen University, Xiamen 361102, China; Fujian Key Laboratory of Coastal Pollution Prevention and Control, Xiamen University, Xiamen 361102, China.

The Science of the total environment

|September 5, 2024

概括

极端降雨对地表水质有重大影响,因为它会增加流水中的细菌. 森林和草原的排水带来很高的微生物风险,即使在干旱到洪水的过渡期间,也会影响饮用水的安全.

科学领域:

环境科学环境科学
微生物学微生物学
水质管理水质管理

背景情况:

在全球范围内,极端降水事件正在增加,对地表水质构成风险.
雨水排水所携带的细菌的数量和影响尚未完全理解.
了解细菌流失对于预测水源的微生物污染至关重要.

研究的目的:

在模拟降雨的情况下,从不同陆地表面的下水中量化细菌度.
开发累积动态模型来估计进入水体的细菌负载.
评估降雨特征和土地覆盖对细菌传播的影响.

主要方法:

模拟了30个降雨场景,其强度从19.3到250毫米/小时.
在流水中测量了可培养 (R2A,NA) 和可活性的细菌的瞬间度.
开发了基于测量细菌度的累积动态模型.

主要成果:

流水中的细菌度因土地表面类型 (森林,草原,裸露土壤) 有显著差异.
估计进入水源的最大细菌负载在10^9.38-11.31 CFU/m^2 (可培养) 和10^11.84-13.25细胞/m^2 (可活性的) 之间.
降雨特征影响了模型适配和细菌积累动态 (p < 0.01).

结论:

森林和草原的排水带来了高的微生物风险,即使在"干旱到洪水过渡"期间也存在.
细菌积累模型为降水事件期间的微生物风险提供了有价值的预测工具.
研究结果支持在气候变化挑战中确保饮用水安全.

关键词:

人工降雨模拟器的人工降雨模拟器干旱干旱干旱干旱极端天气极端的天气微生物安全微生物安全表面的下水流量.水源水源是指水的来源.

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