Optimization of water quality index models using machine learning approaches

F Ding, W Zhang, S Cao, S Hao, L Chen, X Xie, W Li… - Water Research, 2023 - Elsevier
To optimize the water quality index (WQI) assessment model, this study upgraded the
parameter weight values and aggregation functions. We determined the combined weights …

Water quality characteristics and assessment of Yongding New River by improved comprehensive water quality identification index based on game theory

Y Liu, Y Hu, Y Hu, Y Gao, Z Liu - Journal of environmental sciences, 2021 - Elsevier
Abstract The Yongding New River is essential for the water supplies of Tianjin. To date,
there is no comprehensive report that assesses the year-round water quality of the Yongding …

Quantitative assessment of the relative impacts of climate change and human activity on flood susceptibility based on a cloud model

S Li, Z Wang, C Lai, G Lin - Journal of hydrology, 2020 - Elsevier
Floods are generally considered to be the most common natural disaster worldwide. Climate
change and human activity are two key driving factors of flood formation, and it is difficult to …

Shale gas industry sustainability assessment based on WSR methodology and fuzzy matter-element extension model: The case study of China

Q Wang, S Li - Journal of Cleaner Production, 2019 - Elsevier
Shale gas plays an important role in energy transformation. The sustainable development of
the shale gas industry is a prerequisite for achieving an efficient, green, and long-term use of …

[HTML][HTML] An upgraded groundwater quality evaluation based on Hasse diagram technique & game theory

F Ding, L Chen, C Sun, W Zhang, H Yue, S Na - Ecological Indicators, 2022 - Elsevier
To upgrade the groundwater quality evaluation model based on the Hasse diagram
technique (HDT), this paper established a new evaluation model based on game theory and …

Water quality assessment using optimized CWQII in Taihu Lake

F Ding, W Zhang, L Chen, Z Sun, W Li, C Li… - Environmental …, 2022 - Elsevier
To improve the rationality of weight allocation and weight proportion of different periods in
the process of water quality assessment, the comprehensive water quality identification …

Integrating deep learning techniques for effective river water quality monitoring and management

C Chellaiah, S Anbalagan, D Swaminathan… - Journal of …, 2024 - Elsevier
Effective river water quality monitoring is essential for sustainable water resource
management. In this study, we established a comprehensive monitoring system along the …

Effects of different cropping systems on ammonia nitrogen load in a typical agricultural watershed of South China

J Jiang, J Li, Z Wang, X Wu, C Lai, X Chen - Journal of Contaminant …, 2022 - Elsevier
The excessive application of agricultural irrigation water and chemical fertilizer has
increased crop yields to help meet the demand for food, but it has also led to major water …

LDAP: lightweight dynamic auto-reconfigurable protocol in an IoT-enabled WSN for wide-area remote monitoring

GME Rahman, KA Wahid - Remote Sensing, 2020 - mdpi.com
IoT (Internet of Things)-based remote monitoring and controlling applications are increasing
in dimensions and domains day by day. Sensor-based remote monitoring using a Wireless …

A novel classification approach based on integrated connection cloud model and game theory

M Wang, Y Wang, F Shen, J Jin - Communications in Nonlinear Science …, 2021 - Elsevier
The classification of problems under uncertainty environments involves the precise
description and weighting of fuzzy and random indicators. Although the one-dimensional …