Author Correction: Combined advanced oxidation dye-wastewater treatment plant: design and development with data-driven predictive performance modeling

IF 10.4 1区工程技术 Q1 ENGINEERING, CHEMICAL npj Clean Water Pub Date : 2024-08-21 DOI:10.1038/s41545-024-00374-x

Pankaj Singh Chauhan, Kirtiman Singh, Aditya Choudhary, Urmila Brighu, S. K. Singh, Shantanu Bhattacharya

引用次数: 0

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

作者更正：高级氧化染料废水联合处理厂：利用数据驱动的性能预测模型进行设计和开发

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

npj Clean Water Environmental Science-Water Science and Technology

CiteScore

15.30

自引率

2.60%

发文量

审稿时长

5 weeks

期刊介绍： npj Clean Water publishes high-quality papers that report cutting-edge science, technology, applications, policies, and societal issues contributing to a more sustainable supply of clean water. The journal's publications may also support and accelerate the achievement of Sustainable Development Goal 6, which focuses on clean water and sanitation.

期刊最新文献

Quantum machine learning regression optimisation for full-scale sewage sludge anaerobic digestion Preparation of unsaturated MIL-101(Cr) with Lewis acid sites for the extraordinary adsorption of anionic dyes Antimicrobial resistant enteric bacteria are widely distributed among environmental water sources in Dhaka, Bangladesh Integrating livestock and aquatic plant towards mitigating antibiotic resistance transmission from swine wastewater Machine learning prediction of ammonia nitrogen adsorption on biochar with model evaluation and optimization