{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T02:15:24Z","timestamp":1785896124421,"version":"3.56.0"},"reference-count":32,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100017610","name":"Shenzhen Science and Technology Innovation Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100017610","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Bioresource Technology"],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1016\/j.biortech.2024.131640","type":"journal-article","created":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T01:02:55Z","timestamp":1729040575000},"page":"131640","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":12,"special_numbering":"C","title":["Microbial-Guided prediction of methane and sulfide production in Sewers: Integrating mechanistic models with Machine learning"],"prefix":"10.1016","volume":"415","author":[{"given":"Wan-Xin","family":"Yin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia-Qiang","family":"Lv","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuai","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia-Ji","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cheng","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ye","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong-Xu","family":"Bao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6555-1722","authenticated-orcid":false,"given":"Hong-Cheng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ai-Jie","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.biortech.2024.131640_b0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.biortech.2023.129436","article-title":"Automated machine learning-based models for predicting and evaluating antibiotic removal in constructed wetlands","volume":"385","author":"Bao","year":"2023","journal-title":"Bioresource Technology"},{"key":"10.1016\/j.biortech.2024.131640_b0010","doi-asserted-by":"crossref","first-page":"107","DOI":"10.2166\/wst.2009.296","article-title":"In sewer processes: mathematical model development and sensitivity analysis","volume":"60","author":"Calabr\u00f2","year":"2009","journal-title":"Water Science and Technology"},{"key":"10.1016\/j.biortech.2024.131640_b0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2023.120108","article-title":"A critical review of chemical uses in urban sewer systems","volume":"240","author":"Cen","year":"2023","journal-title":"Water Res."},{"key":"10.1016\/j.biortech.2024.131640_b0020","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1016\/j.watres.2019.02.038","article-title":"COD\/sulfate ratio does not affect the methane yield and microbial diversity in anaerobic digesters","volume":"155","author":"Cetecioglu","year":"2019","journal-title":"Water Res."},{"key":"10.1016\/j.biortech.2024.131640_b0025","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1038\/s44221-022-00021-0","article-title":"Spatiotemporal pattern of greenhouse gas emissions in China\u2019s wastewater sector and pathways towards carbon neutrality","volume":"1","author":"Du","year":"2023","journal-title":"Nature Water"},{"key":"10.1016\/j.biortech.2024.131640_b0030","doi-asserted-by":"crossref","first-page":"3839","DOI":"10.1021\/es803682k","article-title":"Role of Sulfur during Acetate Oxidation in Biological Anodes","volume":"43","author":"Dutta","year":"2009","journal-title":"Environ. Sci. Technol."},{"key":"10.1016\/j.biortech.2024.131640_b0035","doi-asserted-by":"crossref","first-page":"2595","DOI":"10.1016\/j.watres.2009.01.002","article-title":"Estimating the kinetic parameters of activated sludge storage using weighted non-linear least-squares and accelerating genetic algorithm","volume":"43","author":"Fang","year":"2009","journal-title":"Water Res."},{"key":"10.1016\/j.biortech.2024.131640_b0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2022.118973","article-title":"The role of deep learning in urban water management: A critical review","volume":"223","author":"Fu","year":"2022","journal-title":"Water Res."},{"key":"10.1016\/j.biortech.2024.131640_b0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2022.119398","article-title":"A critical review of wastewater quality variation and in-sewer processes during conveyance in sewer systems","volume":"228","author":"Gao","year":"2023","journal-title":"Water Research"},{"key":"10.1016\/j.biortech.2024.131640_b0050","doi-asserted-by":"crossref","first-page":"6405","DOI":"10.1038\/s41467-023-42158-w","article-title":"Integrated urban water management by coupling iron salt production and application with biogas upgrading","volume":"14","author":"Hu","year":"2023","journal-title":"Nat. Commun."},{"key":"10.1016\/j.biortech.2024.131640_b0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2021.117419","article-title":"Water quality modeling in sewer networks: Review and future research directions","volume":"202","author":"Jia","year":"2021","journal-title":"Water Res."},{"key":"10.1016\/j.biortech.2024.131640_b0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2021.117797","article-title":"Data-driven method based on deep learning algorithm for detecting fat, oil, and grease (FOG) of sewer networks in urban commercial areas","volume":"207","author":"Jiang","year":"2021","journal-title":"Water Res."},{"key":"10.1016\/j.biortech.2024.131640_b0065","doi-asserted-by":"crossref","first-page":"2816","DOI":"10.1021\/acs.est.1c05020","article-title":"An Integrated First Principal and Deep Learning Approach for Modeling Nitrous Oxide Emissions from Wastewater Treatment Plants","volume":"56","author":"Li","year":"2022","journal-title":"Environ. Sci. Technol."},{"key":"10.1016\/j.biortech.2024.131640_b0070","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1016\/j.watres.2014.12.019","article-title":"Sulfide and methane production in sewer sediments","volume":"70","author":"Liu","year":"2015","journal-title":"WATER RESEARCH"},{"key":"10.1016\/j.biortech.2024.131640_b0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2023.120077","article-title":"In-situ advanced oxidation of sediment iron for sulfide control in sewers","volume":"240","author":"Liu","year":"2023","journal-title":"Water Research"},{"key":"10.1016\/j.biortech.2024.131640_b0080","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1038\/s42256-019-0138-9","article-title":"From local explanations to global understanding with explainable AI for trees","volume":"2","author":"Lundberg","year":"2020","journal-title":"Nature Machine Intelligence"},{"key":"10.1016\/j.biortech.2024.131640_b0085","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2020.116639","article-title":"Predicting non-deposition sediment transport in sewer pipes using Random forest","volume":"189","author":"Montes","year":"2021","journal-title":"Water Res."},{"key":"10.1016\/j.biortech.2024.131640_b0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2022.118166","article-title":"Hybrid differential equations: Integrating mechanistic and data-driven techniques for modelling of water systems","volume":"213","author":"Quaghebeur","year":"2022","journal-title":"Water Res."},{"key":"10.1016\/j.biortech.2024.131640_b0095","doi-asserted-by":"crossref","first-page":"2248","DOI":"10.1021\/acs.est.2c04388","article-title":"Methane Emissions from Municipal Wastewater Collection and Treatment Systems","volume":"57","author":"Song","year":"2023","journal-title":"Environ. Sci. Technol."},{"key":"10.1016\/j.biortech.2024.131640_b0100","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.watres.2017.11.007","article-title":"Modelling the long-term effect of wastewater compositions on maximum sulfide and methane production rates of sewer biofilm","volume":"129","author":"Sun","year":"2018","journal-title":"WATER RESEARCH"},{"key":"10.1016\/j.biortech.2024.131640_b0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2022.119229","article-title":"The effect of anode potential on electrogenesis, methanogenesis and sulfidogenesis in a simulated sewer condition","volume":"226","author":"Sun","year":"2022","journal-title":"Water Res."},{"key":"10.1016\/j.biortech.2024.131640_b0110","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2023.120676","article-title":"Machine learning framework for intelligent aeration control in wastewater treatment plants: Automatic feature engineering based on variation sliding layer","volume":"246","author":"Wang","year":"2023","journal-title":"Water Research"},{"key":"10.1016\/j.biortech.2024.131640_b0115","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2022.118975","article-title":"Automated machine learning-based prediction of microplastics induced impacts on methane production in anaerobic digestion","volume":"223","author":"Xu","year":"2022","journal-title":"Water Research"},{"key":"10.1016\/j.biortech.2024.131640_b0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2023.119834","article-title":"Low-rate ferrate dosing damages the microbial biofilm structure through humic substances destruction and facilitates the sewer biofilm control","volume":"235","author":"Yan","year":"2023","journal-title":"Water Research"},{"key":"10.1016\/j.biortech.2024.131640_b0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.jclepro.2022.130875","article-title":"High-precision prediction of unionized hydrogen sulfide generation based on limited datasets and its impact on anaerobic digestion of sulfate-rich wastewater","volume":"341","author":"Yin","year":"2022","journal-title":"Journal of Cleaner Production"},{"key":"10.1016\/j.biortech.2024.131640_b0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.envint.2020.105503","article-title":"Enhanced methane production by alleviating sulfide inhibition with a microbial electrolysis coupled anaerobic digestion reactor","volume":"136","author":"Yuan","year":"2020","journal-title":"Environ. Int."},{"key":"10.1016\/j.biortech.2024.131640_b0135","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.watres.2007.07.013","article-title":"Chemical and biological technologies for hydrogen sulfide emission control in sewer systems: A review","volume":"42","author":"Zhang","year":"2008","journal-title":"Water Research"},{"key":"10.1016\/j.biortech.2024.131640_b0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.cej.2020.126957","article-title":"Microbial community dynamics in granular activated carbon enhanced up-flow anaerobic sludge blanket (UASB) treating municipal sewage under sulfate reducing and psychrophilic conditions","volume":"405","author":"Zhang","year":"2021","journal-title":"Chem. Eng. J."},{"key":"10.1016\/j.biortech.2024.131640_b0145","doi-asserted-by":"crossref","first-page":"819","DOI":"10.1021\/acsestengg.3c00472","article-title":"Molecular Insights into the Response of Nonelectroactive Bacteria to Electro-stimulation: Growth and Metabolism Regulation Mechanism","volume":"4","author":"Zhang","year":"2024","journal-title":"ACS ES&T Engineering"},{"key":"10.1016\/j.biortech.2024.131640_b0150","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2021.151581","article-title":"Effect of dissolved oxygen on N2O release in the sewer system during controlling hydrogen sulfide by nitrate dosing","volume":"816","author":"Zhang","year":"2022","journal-title":"Science of the Total Environment"},{"key":"10.1016\/j.biortech.2024.131640_b0155","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2023.120046","article-title":"Hydrogen sulfide control in sewer systems: A critical review of recent progress","volume":"240","author":"Zhang","year":"2023","journal-title":"Water Res."},{"key":"10.1016\/j.biortech.2024.131640_b0165","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1021\/acsestengg.0c00163","article-title":"In Situ Exploration of the Sulfidogenic Process at the Water-Sediment Interface in Sewers: Mechanism and Implications","volume":"1","author":"Zuo","year":"2021","journal-title":"ACS EST Eng."}],"container-title":["Bioresource Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0960852424013440?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0960852424013440?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,11,12]],"date-time":"2024-11-12T09:43:13Z","timestamp":1731404593000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0960852424013440"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":32,"alternative-id":["S0960852424013440"],"URL":"https:\/\/doi.org\/10.1016\/j.biortech.2024.131640","relation":{},"ISSN":["0960-8524"],"issn-type":[{"value":"0960-8524","type":"print"}],"subject":[],"published":{"date-parts":[[2025,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Microbial-Guided prediction of methane and sulfide production in Sewers: Integrating mechanistic models with Machine learning","name":"articletitle","label":"Article Title"},{"value":"Bioresource Technology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.biortech.2024.131640","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"131640"}}