关于反应机制和地下水微生物毒理学指标演变预测的研究
Weichao Sun1,2,3, Shuaiwei Wang1,3, Junbo Bi1,2,3
1Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang, Hebei, China.
概括
这项研究开发了一种预测模型,用于平原地区的地下水微生物指标,总细菌计数 (TBC) 和总大肠杆菌计数 (TCC). 该模型根据环境因素和水质准确预测微生物水平.
科学领域:
- 环境科学 环境科学
- 微生物学 微生物学
- 水文地质学 水文地质学
背景情况:
- 地下水的微生物污染对人类健康和生态系统构成风险.
- 了解影响微生物指标的因素,如总细菌计数 (TBC) 和总大肠杆菌计数 (TCC),对于水资源管理至关重要.
研究的目的:
- 研究TBC和TCC对水质指标和环境条件的反应机制.
- 在高原地区开发TBC和TCC的预测模型.
主要方法:
- 使用直角实验设计和柱体实验来操纵环境条件 (温度,pH,多孔性).
- 测量包括pH值,化学氧气需求 (COD),氧化还原潜力 (ORP),TBC和TCC.
- 主要组件分析 (PCA) 和反传播神经网络 (BP-NN) 用于机制阐明和模型开发.
主要成果:
- 环境条件和水质指标通过改变离子电荷,氧化还原条件和温度来影响地下水微生物指标.
- 为TBC和TCC开发的BP-NN预测模型显示了良好的准确性,平均相对误差低于15%.
结论:
- 该研究成功阐明了影响高原地区地下水微生物指标的机制.
- 该预测模型为评估和管理类似环境中的地下水微生物污染提供了可靠的工具.
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