模拟生物去除的平行杂交普通微分方程,修改以提高预测性能和物理解释性
Guang-Yao Zhao1, Hiroaki Furumai2, Masafumi Fujita3
1Graduate School of Science and Engineering, Ibaraki University, Hitachi, Ibaraki, 316-8511, Japan; Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China.
Journal of environmental management
|March 13, 2025
概括
这项研究通过将质量保存和自动校准集成到混合普通微分方程 (ODEs) 中来增强废水处理模型,提高酸盐预测准确性和物理解释性.
科学领域:
- 环境工程 环境工程
- 计算化学的计算化学
- 生物技术是生物技术.
背景情况:
- 污水处理厂 (WWTP) 需要为环境目标提供先进的运营支持.
- 混合普通微分方程 (ODEs) 结合了WWTP的机械和数据驱动模型.
- 现有的混合ODEs在平衡预测准确性和物理解释性方面面临挑战.
研究的目的:
- 为了提高以前开发的支持数据增强混合ODE (SH-ODE) 的物理一致性.
- 为了提高预测性能和物理可解释性,用于生物去除模型在WWTPs.
主要方法:
- 嵌入ASM2d静态测量到混合ODE的ANN组件中,以强制执行质量保存.
- 整合了一种连续的ANN与质量保存,用于自动校准五个参数.
- 利用批量反应器测序和无氧批量实验的运行数据作为支持数据.
主要成果:
- 修改后的SH-ODE实现了酸盐预测的0.90的确定系数 (R2).
- 进一步的改进导致R2值为0.93,自动校准和质量保存.
- 一个新的索引证明了模型的增强物理解释性.
结论:
- 修改后的SH-ODE显著提高了对酸盐去除的预测性能.
- 质量保存和自动校准的整合提高了混合模型的物理一致性.
- 这种方法为WWTP的运营管理提供了一个强大的框架,旨在实现环境可持续性.
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