[HTML][HTML] Surface water quality profiling using the water quality index, pollution index and statistical methods: A critical review
Surface water is heavily exposed to contamination as this is the ubiquitous source for most
of the water needs. This situation is exaggerated by the excessive population, heavy …
of the water needs. This situation is exaggerated by the excessive population, heavy …
Water quality monitoring strategies—A review and future perspectives
S Behmel, M Damour, R Ludwig… - Science of the Total …, 2016 - Elsevier
The reliable assessment of water quality through water quality monitoring programs
(WQMPs) is crucial in order for decision-makers to understand, interpret and use this …
(WQMPs) is crucial in order for decision-makers to understand, interpret and use this …
Evaluation of water quality in the South-to-North Water Diversion Project of China using the water quality index (WQI) method
The world's longest trans-basin water diversion project, the Middle-Route (MR) of the South-
to-North Water Diversion Project of China (SNWDPC), has officially been in operation for …
to-North Water Diversion Project of China (SNWDPC), has officially been in operation for …
Supervised machine learning techniques to the prediction of tunnel boring machine penetration rate
Predicting the penetration rate is a complex and challenging task due to the interaction
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …
Appraisal of surface water quality of nile river using water quality indices, spectral signature and multivariate modeling
Surface water quality management is an important facet of the effort to meet increasing
demand for water. For that purpose, water quality must be monitored and assessed via the …
demand for water. For that purpose, water quality must be monitored and assessed via the …
Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow …
In the research, the role of three input selection techniques is evaluated on support vector
machine (SVM) performance for prediction of monthly stream flow. First, a SVM model is …
machine (SVM) performance for prediction of monthly stream flow. First, a SVM model is …
An efficient data driven-based model for prediction of the total sediment load in rivers
Sediment load in fluvial systems is one of the critical factors sha** the river
geomorphological and hydraulic characteristics. A detailed understanding of the total …
geomorphological and hydraulic characteristics. A detailed understanding of the total …
Prediction of irrigation water quality indices based on machine learning and regression models
Assessing irrigation water quality is one of the most critical challenges in improving water
resource management strategies. The objective of this work was to predict the irrigation …
resource management strategies. The objective of this work was to predict the irrigation …
Assessment of water quality and identification of pollution risk locations in Tiaoxi River (Taihu Watershed), China
Taihu Lake is the third largest freshwater lake in China and serves as a drinking water
source for~ 30 million residents. Tiaoxi River is one of the main rivers connected to this lake …
source for~ 30 million residents. Tiaoxi River is one of the main rivers connected to this lake …
Land use land cover changes in detection of water quality: a study based on remote sensing and multivariate statistics
AK Hua - Journal of environmental and public health, 2017 - Wiley Online Library
Malacca River water quality is affected due to rapid urbanization development. The present
study applied LULC changes towards water quality detection in Malacca River. The method …
study applied LULC changes towards water quality detection in Malacca River. The method …