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OA期刊


ISSN0273-1223
刊名Water science and technology
出版商Pergamon Press
urlhttp://www.swetswise.com/link/access_db?issn=0273-1223
机构IWA Publishing



全部

2022 2023 2024

2024, vol.89, no.1 2024, vol.89, no.2 2024, vol.89, no.3 2024, vol.89, no.4 2024, vol.89, no.5 2024, vol.89, no.6
2024, vol.89, no.7 2024, vol.89, no.8 2024, vol.89, no.9

题名作者出版年年卷期
Comparative analysis of tracer studies in the determination of longitudinal dispersion coefficientChinedu Ukpaka;Jonah Chukwuemeka Agunwamba;20242024, vol.89, no.9
Estimation of instantaneous peak flows in Canadian rivers: an evaluation of conventional, nonlinear regression, and machine learning methodsMuhammad Naveed Khaliq;20242024, vol.89, no.9
The banana tree circle as a nature-based solution for sustainable greywater management: A new design modelJuliano Rezende Mudadu Silva;Alisson Carraro Borges;Christoph Lüthi;Dorothee Spuhler;Raphael Bragança Alves Fernandes;20242024, vol.89, no.9
Establishing a river health evaluation index system for seven rivers in Jiamusi City of ChinaWeiwei Shao;Guang Han;Jiaqi Li;Zhiyong Yang;Jiahong Liu;20242024, vol.89, no.9
A hybrid water quality prediction model based on variational mode decomposition and bidirectional gated recursive unitJiange Jiao;Qianqian Ma;Senjun Huang;Fanglin Liu;Zhanhong Wan;20242024, vol.89, no.9
Advancement of membrane separation technology for organic pollutant removalSaroj Raj Kafle;Sangeet Adhikari;Rakesh Shrestha;Sagar Ban;Gaurav Khatiwada;20242024, vol.89, no.9
Research progress and perspective on sludge anaerobic digestion technology: A bibliometric analysisDenglong Lu;Yang Song;Zhaoguang Yang;Haipu Li;20242024, vol.89, no.9
Enhancing hydrological modeling with transformers: a case study for 24-h streamflow predictionBekir Zahit Demiray;Muhammed Sit;Omer Mermer;Ibrahim Demir;20242024, vol.89, no.9
Effects of carbonization temperature and time on the characteristics of carbonized sludgeJunjie Wan;Xin Feng;Biqing Li;Mingsheng Wang;Xia Tang;20242024, vol.89, no.9
Enhancing short-term streamflow prediction in the Haihe River Basin through integrated machine learning with LassoYongyu Song;Jing Zhang;20242024, vol.89, no.9
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