使用部分最小方程结构方程建模,解开影响三峡水库春季藻类开花的主要因素
Oluwafemi Adewole Adeyeye1, Abdelrahman M Hassaan2, Zenghui Song2
1College of Resources and Environment, Southwest University, Chongqing 400716, China; National Base of International S&T Collaboration on Water Environmental Monitoring and Simulation in TGR Region 400715, China; Global Geosolutionz, Typesetters Biz Complex, Department of Geology Building, Ahmadu Bello University, Zaria 810107, Nigeria.
Chemosphere
|November 6, 2024
概括
春季藻类开花 (SABs) 受湖泊水力学,营养素和沉积物水相互作用的影响. 了解这些因素是管理淡水生态系统中缩和藻类繁殖的关键.
科学领域:
- 环境科学 环境科学
- 临界技术 临界技术
- 欧洲化研究研究 欧洲化研究
背景情况:
- 缩和藻类繁殖对全球健康和水生生态系统构成重大威胁.
- 春季藻类开花 (SABs) 不太常见,但对于有效的水资源管理来说,了解它们至关重要.
研究的目的:
- 调查影响春季藻类开花 (SAB) 的直接和间接因素.
- 量化各种环境变量的对叶绿素a度的因果关系.
主要方法:
- 使用了部分最小方形结构方程建模 (PLS-SEM).
- 分析包括营养,湖水力动力学 (Lake HD),气象元素 (ME),分层,湖生物光学和底层沉积物-水相互作用 (BSWI).
主要成果:
- 总 (TP) 和总 (TN) 对叶绿素-a (chl-a) 的解释能力相似.
- PLS-SEM模型解释了分层,湖泊生物光学,营养素和chl-a的显著变化.
- 气象元素 (ME) 和湖泊生物光学意外地对chl-a产生了负面的总体影响.
结论:
- 湖水力学对SAB发生产生最大影响,其次是营养素和沉积物与水的相互作用.
- 该研究成功量化了影响藻类繁殖的复杂因果关系.
- 调查结果为管理水库系统中肥沃化和SABs提供了关键的见解.
相关概念视频
Factors Influencing Microbial Growth: pH
1
Microorganisms are classified as acidophiles, neutrophiles, or alkaliphiles based on their pH growth preferences, reflecting their adaptations to specific environments. Maintaining a stable intracellular pH is critical for macromolecular stability and enzymatic activity, which can be challenged by external pH variations.Neutrophiles, such as Escherichia coli, grow optimally between pH 5.5 and 8.0. These microorganisms inhabit neutral or slightly acidic environments and employ mechanisms like...
1
Typical Model Studies
340
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
340
Design Example: Creating a Hydraulic Model of a Dam Spillway
127
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
127


