在模拟全球水生生态系统的温室气体排放方面,BP-ANN的作用是通过碳成分与环境因素的合来模拟温室气体排放
Jiayuan Liu1, Bianhe Lu1, Yuhong Liu1
1Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing 210098, China; College of Environment, Hohai University, Nanjing 210098, China.
The Science of the total environment
|April 27, 2024
概括
内陆水域是主要的温室气体排放者,由碳成分和环境因素驱动. 这项研究强调了溶解有机碳和水质在水生温室气体排放中的作用.
科学领域:
- 环境科学 环境科学
- 水生化学 水生化学
- 气候变化研究 气候变化研究
背景情况:
- 诸如内陆水域,河口地区和离岸地区等水生系统通过碳运输释放温室气体 (GHG).
- 与隔离系统相比,相互连接的水生子系统可以放大温室效应.
- 关于碳负载及其组成部分对各种水生环境温室气体排放的具体影响的研究有限.
研究的目的:
- 调查430个水生场所的溶解有机碳 (DOC),有机碳颗粒,溶解无机碳 (DIC) 和温室气体排放之间的权衡机制.
- 确定不同水生系统 (内陆水域,河口区域,海上区域) 对全球变暖潜力 (GWP) 的相对贡献.
- 阐明碳成分和环境因素对温室气体排放的影响,并开发预测模型.
主要方法:
- 分析了430个水域地区的碳成分 (DOC,有机颗粒碳,DIC) 和温室气体排放量.
- 对二氧化碳,甲和氧化的全球变暖潜力 (GWP) 的计算.
- 结构方程建模以评估碳负载,环境因素和温室气体排放之间的关系.
- 开发和验证一个反向传播的人工神经网络 (BP-ANN) 模型,用于使用碳元件和水质参数预测GWP.
主要成果:
- 内陆水域表现出最高的GWP (0.78 ± 0.08 × 10−2 Pg CO2-eq ha−1年−1),明显超过河口和近海地区 (0.35 ± 0.05 × 10−2 Pg CO2-eq ha−1年−1).
- 溶解的有机碳,特别是生物降解的DOC,与GWP有积极的相关性.
- 总度和pH影响溶解的无机碳和pCO2,随后增强GWP.
- 该BP-ANN模型显示,它很适合 (R2 = 0.6078) 预测GWP,并结合碳成分和环境因素.
结论:
- 碳成分和环境因素是水生地区温室气体排放的关键驱动因素.
- 内陆水域是全球变暖潜力的重要来源.
- 该研究验证了BP-ANN用于估计水生温室效应的使用,并整合了水质参数以提高准确性.
- 调查结果为加强与水质和温室气体排放有关的监测和政策制定提供了基础.
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