[HTML][HTML] Assessing and forecasting water quality in the Danube River by using neural network approaches
The health and quality of the Danube River ecosystems is strongly affected by the nutrients
loads (N and P), degree of contamination with hazardous substances or with oxygen …
loads (N and P), degree of contamination with hazardous substances or with oxygen …
Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms
Regular monitoring and assessment of water quality is essential to maintain the quality of
lake water. A commonly used method for assessing water quality is the Water Quality Index …
lake water. A commonly used method for assessing water quality is the Water Quality Index …
Fuzzy logic, geostatistics, and multiple linear models to evaluate irrigation metrics and their influencing factors in a drought-prone agricultural region
SMR Al Zihad, ARMT Islam, MAB Siddique… - Environmental …, 2023 - Elsevier
The quality of water used for irrigation is one of the major threats to maintaining the long-
term sustainability of agricultural practices. Although some studies have addressed the …
term sustainability of agricultural practices. Although some studies have addressed the …
Identifying factors affecting irrigation metrics in the Haor basin using integrated Shannon's entropy, fuzzy logic and automatic linear model
MY Mia, ARMT Islam, JN Jannat, MMMF Jion… - Environmental …, 2023 - Elsevier
The sustainability of agricultural practices is seriously threatened by the quality of water
used for irrigation. This paper aims to evaluate the suitability of irrigation water and identify …
used for irrigation. This paper aims to evaluate the suitability of irrigation water and identify …
[HTML][HTML] Predicting the influence of ammonium toxicity levels in water using fuzzy logic and ANN models
The study aimed to address the complex and critical issue of surface water quality
monitoring by proposing a diversified approach that incorporates a range of chemical …
monitoring by proposing a diversified approach that incorporates a range of chemical …
Prediction of weighted arithmetic water quality index for urban water quality using ensemble machine learning model
U Mohseni, CB Pande, SC Pal, F Alshehri - Chemosphere, 2024 - Elsevier
Urban water quality index (WQI) is an important factor for assessment quality of groundwater
in the urban and rural area. In this research, the Weighted Arithmetic Water Quality Index …
in the urban and rural area. In this research, the Weighted Arithmetic Water Quality Index …
Application of machine learning models in groundwater quality assessment and prediction: progress and challenges
Y Huang, C Wang, Y Wang, G Lyu, S Lin, W Liu… - … Science & Engineering, 2024 - Springer
Groundwater quality assessment and prediction (GQAP) is vital for protecting groundwater
resources. Traditional GQAP methods can not adequately capture the complex relationships …
resources. Traditional GQAP methods can not adequately capture the complex relationships …
Z-numbers based novel method for assessing groundwater specific vulnerability
Groundwater vulnerability assessment systems are developed to achieve a suitable method
for protecting groundwater resources from contaminants. One of the well-known approaches …
for protecting groundwater resources from contaminants. One of the well-known approaches …
[HTML][HTML] A concise way to prevent bloom risk in ecological use of reclaimed water: Determination of the threshold by model calculation
H Yan, K Song, H Guo, M Shen, A Xu, L Zhao, Y Wu… - Water Cycle, 2023 - Elsevier
The risk of algal blooms in landscape water bodies replenished by reclaimed water (RW)
prompted the scientific management of RW discharge issues. Mathematical models are …
prompted the scientific management of RW discharge issues. Mathematical models are …
A fuzzy logic-based approach for groundwater vulnerability assessment
Groundwater vulnerability assessment systems have been developed to protect
groundwater resources. The DRASTIC model calculates the vulnerability index of the aquifer …
groundwater resources. The DRASTIC model calculates the vulnerability index of the aquifer …