Water Research, Год журнала: 2022, Номер 223, С. 118961 - 118961
Опубликована: Авг. 7, 2022
Язык: Английский
Environmental Science and Ecotechnology, Год журнала: 2022, Номер 11, С. 100180 - 100180
Опубликована: Апрель 9, 2022
Recently, every industry has been working to achieve carbon neutrality, and the wastewater sector is no exception. However, little research focuses on accounting of treatment roadmap neutrality. Here, systematically perform accounting, we provide a sketch that describes three boundaries system propose neutrality far beyond plant boundary. Moreover, identify direct indirect emissions treatment. In addition CH4 N2O, fossil CO2 from should be included in set accurate guidelines. Next, technologies assist achieving carbon-neutral both within-the-fence plants boundary are summarized. All measurements energy recovery, resource water reuse contribute reaching this goal. The concepts identified. Successful cases self-sufficiency may not Meanwhile, recovery methods encouraged, especially produce carbon-based materials. Ultimately, trend preference for decentralized sewage pinpointed, systematic thinking urban infrastructure layout as whole advocated.
Язык: Английский
Процитировано
128
Water Research, Год журнала: 2025, Номер 276, С. 123247 - 123247
Опубликована: Фев. 4, 2025
Язык: Английский
Процитировано
2
The Science of The Total Environment, Год журнала: 2022, Номер 857, С. 159462 - 159462
Опубликована: Окт. 17, 2022
Язык: Английский
Процитировано
68
Process Safety and Environmental Protection, Год журнала: 2022, Номер 162, С. 1015 - 1024
Опубликована: Апрель 30, 2022
Nitrous oxide (N2O) is a key parameter for evaluating the greenhouse gas emissions from wastewater treatment plants. In this study, new method predicting liquid N2O production during nitrification was developed based on mechanistic model and machine learning (ML) algorithm. The first used simulation of two 15-day experimental trials in nitrifying sequencing batch reactor. Then, predictions (NH4-N, NO2-N, NO3-N, MLSS, MLVSS) along with recorded online measurements (DO, pH, temperature) were as input data ML models. experiments at 20 °C 12 °C, respectively, training testing three algorithms, including artificial neural network (ANN), gradient boosting (GBM), support vector (SVM). best predictive ANN algorithm that further subjected to 95% confidence interval analysis calculation true probability estimating an error range population. Moreover, Feature Selection (FS) techniques, such Pearson correlation Random Forest, identify most relevant parameters influencing predictions. results FS showed NH4-N, followed by NO2-N had highest production. With proposed approach, prompt obtained enhancing prediction concentrations short-term studies limited availability measured data.
Язык: Английский
Процитировано
49
IWA Publishing eBooks, Год журнала: 2022, Номер unknown
Опубликована: Апрель 9, 2022
Abstract With increased commitment from the international community to reduce greenhouse gas (GHG) emissions all sectors in accordance with Paris Agreement, water sector has never felt pressure it is now under transition a low-carbon management model. This requires reducing GHG grid-energy consumption (Scope 2 emissions), which straightforward; however, also Scope 1 emissions, include nitrous oxide and methane predominantly wastewater handling treatment. The pathways factors leading biological formation are highly complex site-specific. Good emission for estimating lacking, utilities have little experience directly measuring these mathematical modelling of challenging. Therefore, this book aims help address by breaking down their influencing factors, providing guidance on both use performing direct measurements sewers treatment plants. dives into predicting provides different models based upon your conditions, as well an introduction alternative methods, including metabolic, data-driven, AI methods. Finally, includes using tools assessing operating strategies identifying promising mitigation actions. A must-have anyone needing understand, account for, utility emissions. ISBN: 9781789060454 (Paperback) 9781789060461 (eBook) 9781789060478 (ePub)
Язык: Английский
Процитировано
42
Resources Conservation and Recycling, Год журнала: 2022, Номер 190, С. 106794 - 106794
Опубликована: Дек. 6, 2022
Язык: Английский
Процитировано
39
Journal of Water Process Engineering, Год журнала: 2023, Номер 53, С. 103826 - 103826
Опубликована: Май 20, 2023
Язык: Английский
Процитировано
39
Water Research X, Год журнала: 2022, Номер 16, С. 100145 - 100145
Опубликована: Июнь 16, 2022
For two decades now, partial nitritation anammox (PNA) systems were suggested to more efficiently remove nitrogen (N) from mainstream municipal wastewater. Yet date, only a few pilot-scale and even fewer full-scale implementations of this technology have been described. Process instability continues restrict the broad application PNA. Especially problematic are insufficient biomass retention, growth undesired aerobic nitrite-oxidizers, nitrous oxide (N2O) emissions. In study, two-stage PNA system, consisting three reactors (carbon pre-treatment, nitritation, - 8 m3 each), was operated over year, treating The aim test whether both, robust autotrophic N removal high effluent quality, can be achieved throughout year. A second better understand rate limiting processes, potentially affecting overall performance systems. pilot excellent in terms inorganic nitrogen, accomplished (average concentrations: 0.4 mgNH4-N/L, 0.1 mgNO2-N/L, 0.9 mgNO3-N/L) at wastewater temperatures previously considered (as low as °C). limited by rates (84 ± 43 mgNH4-N/L/d), while surplus activity observed all times (178 mgN/L/d). Throughout nitrite-oxidation maintained level (<2.5% ammonium consumption rate). Unfortunately, N2O emissions stage (1.2% total influent) observed, and, based on natural isotope abundance measurements, could attributed heterotrophic denitrification. situ batch experiments conducted identify role dissolved oxygen (DO) organic substrate availability emission-mitigation. addition substrate, promote complete denitrification, not successful decreasing emission, but increasing DO 0.3 2.9 mgO2/L decreased factor 3.4.
Язык: Английский
Процитировано
38
Water Research, Год журнала: 2023, Номер 243, С. 120326 - 120326
Опубликована: Июль 8, 2023
Язык: Английский
Процитировано
27
Environmental Science & Technology Letters, Год журнала: 2024, Номер unknown
Опубликована: Июнь 10, 2024
Despite the increasing concern about impacts of microplastics on wastewater treatment, underlying mechanism by which affect nitrous oxide (N2O) accumulation during denitrification is still underexplored. In particular, effects biodegradable (BMPs) sewage sludge systems are largely overlooked. Previous studies often used one type polymer as model microplastics, far from a real-world scenario various occurring simultaneously. This work assesses toxic influences chronically adding four typical BMPs versus conventional nonbiodegradable (NBMPs) to denitrifying sludge. Our results showed that both and NBMPs suppressed performance, intensified electron competition, regulated distribution, consequently promoted N2O at chemical oxygen demand:nitrate ratio <4:1. Importantly, more severe were observed in reactor with BMPs. A subsequent mechanistic study revealed significantly decreased relative abundances denitrifiers key genes involved transport consumption system (ETCS), might be related varied extracellular polymeric substance components. contrast, damaged bacterial membranes directly caused dead cells overproducing reactive species, hence disrupting ETCS. Overall, this suggested wastewater, especially BMPs, could disrupt potentially increase greenhouse gas emission.
Язык: Английский
Процитировано
8