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一种改进的ASM-GDA方法,用于评估生物除磷过程中松散结合和紧密结合的胞外聚合物的生产动力学。

An improved ASM-GDA approach to evaluate the production kinetics of loosely bound and tightly bound extracellular polymeric substances in biological phosphorus removal process.

作者信息

Cui Hai, Yang Shan-Shan, Pang Ji-Wei, Mi Hai-Rong, Nuer Chen-Chen, Ding Jie

机构信息

State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology Harbin 150000 PR China

College of Aerospace and Civil Engineering, Harbin Engineering University Harbin 150001 PR China.

出版信息

RSC Adv. 2020 Jan 14;10(5):2495-2506. doi: 10.1039/c9ra06845g.

Abstract

This study established an extended activated sludge model no. 2 (ASM2) for providing a new recognition of the contributions of both loosely-bound EPS (LB-EPS) and tightly-bound EPS (TB-EPS) into phosphorus (P) removal by incorporating their formation and degradation processes during the anaerobic-aerobic cycle. For determining the best-fit values for the new model parameters ( , , , and ) in this extended ASM2, a novel and convenient gradient descent algorithm (GDA) based ASM (ASM-GDA) method was developed. Sensitivity analysis of , , , and on the model target outputs of , , , and proved the accuracy of the chosen parameters. Eight batch experiments conducted under different influential chemical oxygen demand (COD) and P conditions were quantitatively and qualitatively analyzed. Respectively, 9.37-9.64% and 4.17-4.29% of P removal by TB-EPS and LB-EPS were achieved. Self-Organizing Map (SOM) has shown its high performance for visualization and abstraction for exhibiting the high correlations of the influential COD/P concentrations and the P% removal by TB-EPS (and LB-EPS). Comprehensive analyses of the influences of influential COD and P concentration on the biological phosphorus removal process help us in successfully establishing the mechanism kinetics of production and degradation of P in a dynamic P biological-treatment model.

摘要

本研究建立了扩展的活性污泥2号模型(ASM2),通过纳入厌氧-好氧循环过程中松散结合型胞外聚合物(LB-EPS)和紧密结合型胞外聚合物(TB-EPS)的形成和降解过程,对它们在除磷(P)中的贡献有了新的认识。为了确定该扩展ASM2中新模型参数( 、 、 和 )的最佳拟合值,开发了一种基于新型便捷梯度下降算法(GDA)的ASM(ASM-GDA)方法。对 、 、 和 对模型目标输出 、 、 和 的敏感性分析证明了所选参数的准确性。对在不同化学需氧量(COD)和P影响条件下进行的八批次实验进行了定量和定性分析。分别实现了TB-EPS和LB-EPS去除P的比例为9.37 - 9.64%和4.17 - 4.29%。自组织映射(SOM)已显示出其在可视化和抽象方面的高性能,用于展示有影响的COD/P浓度与TB-EPS(和LB-EPS)去除P%之间的高度相关性。对有影响的COD和P浓度对生物除磷过程的影响进行综合分析,有助于我们成功建立动态P生物处理模型中P的产生和降解的机理动力学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/682c/9048850/f264e7094a36/c9ra06845g-f1.jpg

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