制造波浪：从厌氧批次测试中提取更多见解-对生产率的建模观点

IF 12.4 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research Pub Date : 2025-07-10 DOI:10.1016/j.watres.2025.124203

A. Donoso-Bravo , M.C. Sadino-Riquelme , F. Zorrilla , F. Hansen

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引用次数: 0

摘要

生化甲烷势（BMP）测试是评估有机基质沼气潜力的标准工具。本文提出了一种新颖的建模方法，通过关注沼气产量而不是累积量来提取额外的见解。使用虚拟消化器和ADM1框架，我们证明了生产率数据提高了底物表征的准确性，特别是在共消化情况下。这些发现支持了BMP数据解释方式的转变，对研究和植物水平监测都有意义

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Making waves: Extracting more insights from anaerobic batch tests - a modeling perspective on production rates

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Making waves: Extracting more insights from anaerobic batch tests - a modeling perspective on production rates

Biochemical methane potential (BMP) tests are standard tools for assessing the biogas potential of organic substrates. This article proposes a novel modeling approach to extract additional insights by focusing on biogas production rate, rather than cumulative volume. Using a virtual digester and the ADM1 framework, we demonstrate that production rate data improves the accuracy of substrate characterization, particularly under codigestion scenarios. These findings support a shift in how BMP data are interpreted, with implications for both research and plant-level monitoring

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来源期刊

Water Research 环境科学-工程：环境

CiteScore

20.80

自引率

9.40%

发文量

1307

审稿时长

38 days

期刊介绍： Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.