Senlin Zhu
Senlin Zhu
Yangzhou University
Verified email at nhri.cn
Title
Cited by
Cited by
Year
Forecasting river water temperature time series using a wavelet–neural network hybrid modelling approach
R Graf, S Zhu, B Sivakumar
Journal of Hydrology 578, 124115, 2019
392019
Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models
S Zhu, S Heddam, EK Nyarko, M Hadzima-Nyarko, S Piccolroaz, S Wu
Environmental Science and Pollution Research 26 (1), 402-420, 2019
382019
Mercury transport and fate models in aquatic systems: A review and synthesis
S Zhu, Z Zhang, D Žagar
Science of The Total Environment 639, 538-549, 2018
382018
Modelling daily water temperature from air temperature for the Missouri River
S Zhu, EK Nyarko, M Hadzima-Nyarko
PeerJ 6, e4894, 2018
332018
Prediction of dissolved oxygen in urban rivers at the Three Gorges Reservoir, China: extreme learning machines (ELM) versus artificial neural network (ANN)
S Zhu, S Heddam
Water Quality Research Journal 55 (1), 106-118, 2020
182020
Extreme learning machine-based prediction of daily water temperature for rivers
S Zhu, S Heddam, S Wu, J Dai, B Jia
Environmental Earth Sciences 78 (6), 1-17, 2019
172019
Forecasting of water level in multiple temperate lakes using machine learning models
S Zhu, B Hrnjica, M Ptak, A Choiński, B Sivakumar
Journal of Hydrology 585, 124819, 2020
162020
Forecasting surface water temperature in lakes: A comparison of approaches
S Zhu, M Ptak, ZM Yaseen, J Dai, B Sivakumar
Journal of Hydrology 585, 124809, 2020
162020
Two hybrid data-driven models for modeling water-air temperature relationship in rivers
S Zhu, M Hadzima-Nyarko, A Gao, F Wang, J Wu, S Wu
Environmental Science and Pollution Research 26 (12), 12622-12630, 2019
162019
Assessing the performance of a suite of machine learning models for daily river water temperature prediction
S Zhu, EK Nyarko, M Hadzima-Nyarko, S Heddam, S Wu
PeerJ 7, e7065, 2019
132019
污泥机械脱水前处理方法研究进展
柴朝晖, 杨国录, 刘林双, 陈萌, 朱森林
南水北調與水利科技 8 (5), 157-161, 2010
132010
Effects of water diversion from Yangtze River to Lake Taihu on the phytoplankton habitat of the Wangyu River channel
J Dai, S Wu, X Wu, W Xue, Q Yang, S Zhu, F Wang, D Chen
Water 10 (6), 759, 2018
122018
A newly developed unmanned aerial vehicle (UAV) imagery based technology for field measurement of water level
A Gao, S Wu, F Wang, X Wu, P Xu, L Yu, S Zhu
Water 11 (1), 124, 2019
102019
Modelling daily water temperature from air temperature for the Missouri River. PeerJ 6: e4894
S Zhu, EK Nyarko, M Hadzima-Nyarko
82018
Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN
S Heddam, M Ptak, S Zhu
Journal of Hydrology 588, 125130, 2020
72020
Comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes
W Luo, S Zhu, S Wu, J Dai
Environmental Science and Pollution Research 26 (29), 30524-30532, 2019
72019
Effects of water level fluctuation on thermal stratification in a typical tributary bay of Three Gorges Reservoir, China
J Jin, SA Wells, D Liu, G Yang, S Zhu, J Ma, Z Yang
PeerJ 7, e6925, 2019
72019
Incorporation of the simplified equilibrium temperature approach in a hydrodynamic and water quality model–CE-QUAL-W2
S Zhu, X Du, W Luo
Water Supply 19 (1), 156-164, 2019
62019
Impacts of a large river-to-lake water diversion project on lacustrine phytoplankton communities
J Dai, S Wu, X Wu, X Lv, B Sivakumar, F Wang, Y Zhang, Q Yang, A Gao, ...
Journal of Hydrology 587, 124938, 2020
52020
Exploring and quantifying the impact of climate change on surface water temperature of a high mountain lake in Central Europe
S Zhu, M Ptak, A Choiński, S Wu
Environmental monitoring and assessment 192 (1), 1-11, 2020
52020
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Articles 1–20