Advancing Sustainable Water Quality Monitoring and Remediation in Malaysia: Innovative Analytical Solutions for Detecting and Removing Emerging Contaminants DOI
May Lee Low, Jamilah Karim, Nurfaizah Abu Tahrim

и другие.

ACS ES&T Water, Год журнала: 2024, Номер 4(11), С. 4758 - 4773

Опубликована: Окт. 31, 2024

Malaysia is facing growing threats to its water resources due emerging contaminants. This requires innovative and sustainable solutions for monitoring quality remediation. perspective explores the potential of analytical address this challenge. We highlight critical role multimodal spectroscopy techniques, lab-on-chip technologies, AI-powered sensing in enhancing detection These advancements offer greater precision efficiency management. Beyond detection, remediation such as phytoremediation nanotechnology embracing techniques can minimize environmental impact while fostering a harmonious relationship with natural ecosystems. In addition, effective policy frameworks are essential facilitating adoption these advancements. Regulatory should align sustainability goals ensure that effectively integrated into national management strategies. The collaboration among government agencies, research institutions, industry stakeholders, civil society necessary create an enabling environment widespread practices. conclusion, achieving multifaceted approach focused on innovation, sustainability, collaboration. By harnessing forces, overcome challenges posed by contaminants clean future generations.

Язык: Английский

Livestock and poultry farm wastewater treatment and its valorization for generating value-added products: Recent updates and way forward DOI

Sakshi Vaishnav,

Tapendra Saini,

Anuj Chauhan

и другие.

Bioresource Technology, Год журнала: 2023, Номер 382, С. 129170 - 129170

Опубликована: Май 15, 2023

Язык: Английский

Процитировано

47

Enhancing phosphorus source apportionment in watersheds through species-specific analysis DOI
Yuansi Hu, Mengli Chen,

Jia Pu

и другие.

Water Research, Год журнала: 2024, Номер 253, С. 121262 - 121262

Опубликована: Фев. 7, 2024

Язык: Английский

Процитировано

17

Enhancing wastewater treatment efficiency through machine learning-driven effluent quality prediction: A plant-level analysis DOI
Maria Alice Prado Cechinel,

Juliana Neves,

João Vitor Rios Fuck

и другие.

Journal of Water Process Engineering, Год журнала: 2024, Номер 58, С. 104758 - 104758

Опубликована: Янв. 9, 2024

Язык: Английский

Процитировано

15

Advancements in Biochar Modification for Enhanced Phosphorus Utilization in Agriculture DOI Creative Commons
Nazir Ahmed, Lifang Deng, Chuan Wang

и другие.

Land, Год журнала: 2024, Номер 13(5), С. 644 - 644

Опубликована: Май 9, 2024

The role of modified biochar in enhancing phosphorus (P) availability is gaining attention as an environmentally friendly approach to address soil P deficiency, a global agricultural challenge. Traditional phosphatic fertilizers, while essential for crop yield, are costly and detrimental owing fixation leaching. Modified presents promising alternative with improved properties such increased porosity, surface area, cation exchange capacity. This review delves into the variability based on source production methods how these can be optimized effective adsorption. By adjusting pH levels functional groups align phosphate’s zero point charge, we enhance biochar’s ability adsorb retain P, thereby increasing its bioavailability plants. integration nanotechnology advanced characterization techniques aids understanding structural nuances interactions phosphorus. offers multiple benefits: it enables farmers use more efficiently, reducing need traditional fertilizers minimizing environmental impacts, greenhouse gas emissions also identifies existing research gaps future opportunities further modifications. These findings emphasize significant potential sustainable agriculture.

Язык: Английский

Процитировано

15

Enhancing wastewater treatment through artificial intelligence: A comprehensive study on nutrient removal and effluent quality prediction DOI
Offir Inbar, Dror Avisar

Journal of Water Process Engineering, Год журнала: 2024, Номер 61, С. 105212 - 105212

Опубликована: Апрель 11, 2024

Язык: Английский

Процитировано

10

An integrated feature selection and hyperparameter optimization algorithm for balanced machine learning models predicting N2O emissions from wastewater treatment plants DOI Creative Commons
Mostafa Khalil, Ahmed AlSayed, Yang Liu

и другие.

Journal of Water Process Engineering, Год журнала: 2024, Номер 63, С. 105512 - 105512

Опубликована: Май 24, 2024

Nitrous oxide (N2O) is a significant contributor to global greenhouse gas emissions, with an increasing attention for its mitigation. Machine learning (ML) models hold promise as alternative mechanistic in N2O prediction from wastewater treatment plants (WWTPs). Although more complex ML can sometimes enhance performance, they may also yield little no improvement. Thus, balancing model complexity performance essential effective models, aspect that often overlooked. Carefully these elements optimizing efficacy without unnecessarily complexity. Hence, this study exhaustively investigates the broadly adopted hyperparameter optimization (HPO), grid search optimization, which showed limited ability consider and it only focuses on leading potential overfitting. This emphasizes crucial balance between presenting new algorithm combines input feature selection HPO efficiency accuracy. Consequently, AdaBoost achieved same accuracy crafted through separate HPO, holding R2 of 0.94 but marginal increase RMSE 27.25 26.27. It simplified by using fewer estimators shallower trees, thereby lowering risk overfitting suggesting better generalizability. The employs multi-objective NSGA-II genetic (GA), outperforming Nelder-Mead algorithm. approach effectively balances accuracy, enabling development computationally efficient, online tools emission potentially other applications.

Язык: Английский

Процитировано

9

Insights into the application of explainable artificial intelligence for biological wastewater treatment plants: Updates and perspectives DOI Creative Commons

Abdul Gaffar Sheik,

Arvind Kumar,

Chandra Sainadh Srungavarapu

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 144, С. 110132 - 110132

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

1

Deep learning based simulators for the phosphorus removal process control in wastewater treatment via deep reinforcement learning algorithms DOI Creative Commons
Esmaeel Mohammadi, Mikkel Stokholm-Bjerregaard,

Aviaja Anna Hansen

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 107992 - 107992

Опубликована: Фев. 6, 2024

Язык: Английский

Процитировано

8

Adaptive prediction for effluent quality of wastewater treatment plant: Improvement with a dual-stage attention-based LSTM network DOI
Tong An,

Kuanliang Feng,

Peijin Cheng

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 359, С. 120887 - 120887

Опубликована: Апрель 27, 2024

Язык: Английский

Процитировано

8

Applications of artificial intelligence technologies in water environments: From basic techniques to novel tiny machine learning systems DOI Creative Commons
Majid Bagheri,

Nakisa Farshforoush,

Karim Bagheri

и другие.

Process Safety and Environmental Protection, Год журнала: 2023, Номер 180, С. 10 - 22

Опубликована: Сен. 30, 2023

Язык: Английский

Процитировано

16