Cited by Optimizing carbon source addition to control surplus sludge yield via machine learning-based interpretable ensemble model

Denitrification enhancement, kinetic simulation and microbial assessment in the sponge iron-mediated anammox process: A method for low-strength nitrogen wastewater treatment DOI

Miao Zhang,

Zhongkuo Guan,

Biao Li

и другие.

Journal of Water Process Engineering, Год журнала: 2025, Номер 72, С. 107550 - 107550

Опубликована: Март 27, 2025

Язык: Английский

Процитировано

Exploring the interaction between quorum sensing and sludge physical properties in Anammox systems DOI

Yanjun Zhu,

Yanjun Zhu, Sibo Fu

и другие.

Bioresource Technology, Год журнала: 2025, Номер 424, С. 132224 - 132224

Опубликована: Фев. 21, 2025

Язык: Английский

Процитировано

Ferrochrome Pollution and Its Consequences on Groundwater Ecosystems and Public Health DOI

Biswajit Patra, Mihir Tanay Das, Surya Narayan Pradhan

и другие.

Limnological Review, Год журнала: 2025, Номер 25(2), С. 23 - 23

Опубликована: Июнь 2, 2025

Ferrochrome pollution, a by-product of the ferroalloy industry, is emerging as significant environmental concern due to its potential contaminate groundwater resources. This contamination occurs primarily through leaching heavy metals, such chromium, into soil and water systems. review article presents strategic framework for assessing health risks associated with ferrochrome industry pollution rather than focusing on case study. The suggested methodology designed guide future field investigations in areas impacted by industrial activities. presence chromium poses serious both ecosystems human health. In aquatic ecosystems, elevated levels can disrupt balance microbial communities, affect biodiversity, harm organisms. For humans, long-term exposure chromium-contaminated range issues, including carcinogenic effects, skin rashes, respiratory problems, damage vital organs. widespread use drinking, irrigation, purposes exacerbates public paper explores sources, pathways, mechanisms contamination, examines impact highlights consequences affected populations. Strategies mitigating treatment technologies policy interventions, are also discussed help safeguard

Язык: Английский

Процитировано

Optimizing carbon source addition to control surplus sludge yield via machine learning-based interpretable ensemble model DOI

Bowen Li, Li Liu, Zikang Xu

и другие.

Environmental Research, Год журнала: 2024, Номер unknown, С. 120653 - 120653

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано