Traditionally, water quality is assessed using costly laboratory and statistical methods, rendering real-time monitoring useless. Poor requires a more practical cost-effective solution. The machine learning classification approach appears promising for rapid detection prediction of quality. Machine has been used successfully to predict However, research on index (WQI) generally lacking. Therefo...

Abstract Groundwater is an important source for drinking water supply in Jabalpur District, Madhya Pradesh, India. An attempt has been made this work to understand the suitability of groundwater human consumption. The parameters pH, Electrical Conductivity (EC), Copper (Cu), Chromium (Cr), Sulphate (SO4), Iron (Fe), Nitrate (NO3), Chloride (Cl), Total Hardness (TH), Alkalinity (TA), and Sodium ...

In this work, the assessment of surface and ground water quality Palladam Taluk, Tiruppur, district, Tamil Nadu, India were carried out using Geographical Information System (GIS) Modified National Sanitation Foundation -Water Quality Index (MNSF-WQI). Four samples from twenty seven sources taken Tiruppur District. current study, analysed for temperature, pH, dissolved oxygen (DO), electrical c...

This study investigated the spatial variation of nitrogen (N)-based and phosphorus (P)-based nutrients together with water quality parameters (temperature, pH, dissolved oxygen, biological oxygen demand, chemical demand total suspended solids) in Dungun River basin, Terengganu. The Water Quality Index (WQI) river was applied according to Malaysian Department Environment (DOE-WQI) classified bas...

While humans require water for life, one-sixth of our species lives without access to safe water. In Africa, the situation is particularly acute because of global warming, the progression of the Sahara desert, civil unrest and poor governance, population growth, migration and poverty. In rural areas, the lack of adequate safe water and sanitary infrastructures leaves millions with doubtful wate...

This study compares the Canadian Council Water Quality Index (CCME WQI) and Arithmetic (WAWQI) methodologies for determining quality of water in city Azogues (Ecuador). Additionally, a drinking risk index (IRCA) was determined to evaluate degree disease occurrence related consumption. The data generated came from analyses twelve physicochemical parameters (pH, turbidity, colour, total dissolved...

The importance of knowing the water quality status with use macroinvertebrates diversity gives an establishment to proper practices prevent pollution in Surigao River, City, Philippines. Riparian, Channel, and Environmental Inventory were used describing vegetation three-sampling stations. occurrence was supported by selected physicochemical parameters, WQI, ASPT. RCE scores for three sampling ...

This study is used the water quality index (WQI), which generated by combining several parameters. gives a helpful representation of overall for public and all intended applications, it demonstrates that pollution beneficial in management decision-making. The Euphrates River was assessed order to determine drinking water. using WQI, includes ten physicochemical criteria. achieved submitting com...

In order to improve the treatment processes of drinking water plant (DWTP) located near Butoniga reservoir in Istria (Croatia), a prediction quality index (WQI) was done. Based on parameters such as temperature, pH, turbidity, KMnO4, NH4, Mn, Al and Fe, calculation WQI conducted, while for models, along with mentioned parameters, O2, TOC UV254 were additionally used. Four models built predict t...

Artificial intelligence methods can remarkably reduce costs for water supply and sanitation systems help ensure compliance with the quality of drinking wastewater treatment. Therefore, modelling predicting to control pollution has been widely researched. The novelty proposed system is presented develop an efficient operation monitoring a sustainable friendly green environment. In this work, ada...