[HTML][HTML] A novel hybrid BPNN model based on adaptive evolutionary Artificial Bee Colony Algorithm for water quality index prediction

L Chen, T Wu, Z Wang, X Lin, Y Cai - Ecological Indicators, 2023 - Elsevier
With the accelerated industrialization and urbanization process, water pollution in rivers is
being increasingly worsened, and has caused a series of ecological and environmental …

Runoff forecasting using convolutional neural networks and optimized bi-directional long short-term memory

J Wu, Z Wang, Y Hu, S Tao, J Dong - Water Resources Management, 2023 - Springer
Water resources matters considerably in maintaining the biological survival and sustainable
socio-economic development of a region. Affected by a combination of factors such as …

[HTML][HTML] A data-driven model for water quality prediction in Tai Lake, China, using secondary modal decomposition with multidimensional external features

R Tan, Z Wang, T Wu, J Wu - Journal of Hydrology: Regional Studies, 2023 - Elsevier
Abstract Study region Tai Lake, the third largest freshwater lake in China, with a history of
serious ecological pollution incidents. Study focus Lake water quality prediction techniques …

[PDF][PDF] Research on multi-objective optimal allocation of regional water resources based on improved sparrow search algorithm

Z Yao, Z Wang, X Cui, H Zhao - Journal of Hydroinformatics, 2023 - iwaponline.com
Nowadays, the conflict between the supply and demand of water resources in many regions
is becoming increasingly prominent. Scientific allocation of regional water resources has …

A water quality prediction model based on signal decomposition and ensemble deep learning techniques

J Dong, Z Wang, J Wu, J Huang… - Water Science & …, 2023 - iwaponline.com
Accurate water quality predictions are critical for water resource protection, and dissolved
oxygen (DO) reflects overall river water quality and ecosystem health. This study proposes a …

A VMD-MSMA-LSTM-ARIMA model for precipitation prediction

X Cui, Z Wang, R Pei - Hydrological Sciences Journal, 2023 - Taylor & Francis
Accurate prediction of regional precipitation plays an important role in preventing natural
disasters and protection of human life and property. In this study, non-linear monthly …

Improving the streamflow prediction accuracy in sparse data regions: a fresh perspective on integrated hydrological-hydrodynamic and hybrid machine learning …

S Khorram, N Jehbez - Engineering Applications of Computational …, 2024 - Taylor & Francis
Considering the differences and complex nonlinear relationships of the observational data,
this research integrated the hydrological, hydrodynamic and time series models, including …

A comparative study of the time of concentration methods for designing urban drainage infrastructure

O Mehta, ML Kansal, DS Bisht - AQUA—Water Infrastructure …, 2022 - iwaponline.com
The time of concentration (ToC) is an important parameter in rainfall− runoff simulation for
designing and evaluating an urban drainage system (UDS). There are several lumped and …

Ultra-early prediction of the process parameters of coal chemical production

Z Li, M Yao, Z Luo, Q Huang, T Liu - Heliyon, 2024 - cell.com
Most accidents in a chemical process are caused by abnormal or deviations of the process
parameters, and the existing research is focused on short-term prediction. When the early …

A parallel DNA algorithm for solving the quota traveling salesman problem based on biocomputing model

Z Wang, X Wu, T Wu - Computational Intelligence and …, 2022 - Wiley Online Library
The quota traveling salesman problem (QTSP) is a variant of the traveling salesman
problem (TSP), which is a classical optimization problem. In the QTSP, the salesman visits …