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纵向分布分析和和在大型浅湖的总质量估计

Junfeng Xiong¹, Kun Xue¹, Jing Li²

¹Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.

Journal of environmental management

|July 7, 2023

概括

这项研究引入了新的算法来估计湖泊中的总和质量,改善了湖泊管理. 研究结果显示,营养水平随着深度的增加而降低,这使得通过表水指标进行简化监测.

科学领域:

环境科学环境科学
临界技术临界技术
水质管理水质管理

背景情况:

估计湖泊营养质量对于有效的水资源管理和制定排水标准至关重要.
现有的研究主要集中在营养度上,缺乏对整个水柱中垂直营养分布的理解.
浅浅的环氧化的湖泊对于准确的营养物质质量估计具有独特的挑战.

研究的目的:

开发和验证算法 (ALGO-TNmass/ALGO-TPmass) 用于估计在浅层环保湖中每单位水柱的总和质量.
分析太湖中和的垂直分布模式.
评估使用传统地表水质量指标用于营养质量估计和遥感应用的可行性.

主要方法:

基于垂直营养分布模式的新型算法 (ALGO-TNmass/ALGO-TPmass) 的开发.
将算法应用于太湖,以估计历史总 (N) 和 (P) 质量.
使用R2和RMSE指标验证算法的准确性,并评估其在其他浅湖中的适用性.

主要成果:

营养物质度随着深度的增加而下降,呈现出二次分布模式.
表面营养素和叶绿素-a度显著影响垂直营养分布.
开发的算法显示了高精度 (ALGO-TNmass R2 > 0.75; ALGO-TPmass R2 > 0.80),而ALGO-TPmass显示了更广泛的适用性.
长期平均总N质量为11,727t,显示到2010年的下降趋势. 长期平均总P质量为512t,下降到2010年,然后慢慢增加.
总P质量与气象条件 (如水位和风速) 有关,但与总N质量不同.

结论:

拟议的算法可以准确估计浅层环保湖中的总和质量.
使用地表水指标估计总质量是可行的,简化监测,并使遥感应用成为可能.
湖泊营养物质质量的长期趋势和季节性变化已被确定,对的气象因素有明显的反应.

关键词:

算法的性能算法的性能.浅浅的环氧化的湖泊浅的环氧化的湖泊垂直分布垂直分布的分布水的N和P总质量.

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相关概念视频

Primary Production

Primary Production

The total amount of energy acquired by primary producers in an ecosystem is called gross primary production (GPP). However, of this energy, producers use some for metabolic processes, and some is lost as heat, decreasing the amount of energy available to the next trophic level. The remaining usable amount of energy is called the net primary productivity (NPP). In terrestrial ecosystems, NPP is driven by climate, while light penetration and nutrient availability drive NPP in aquatic ecosystems.