Abstract The aim of this paper is to present the potential using neural network modelling for prediction surface water quality index (WQI). An artificial has been performed physicochemical parameters (TDS, chloride, TH, nitrate, and manganese) as an input layer model, WQI output layer. have taken from five measuring stations river Warta in years 2014-2018 via Chief Inspectorate Environmental Pr...

Assessment of groundwater quality is utmost importance to ensure sustainable use water. Since the availability water, irrespective quantity and quality, varies from area in Thanjavur taluk. The present paper attempts determine spatial distribution parameters identify locations with best for drinking irrigation study using GIS WQI. Using IDW interpolation methods ArcGIS 10.8, maps physical param...

water is a unique natural resource among all sources available on earth. it plays an important role in economic development and the general well-being of the country. this study aimed at using the application of water quality index in evaluating the ground water quality innorth-east area of jaipur in pre and post monsoon for public usage. total eleven physico–chemical characteristics; total dis...

The Zarivar Lake a freshwater lake in west of Kurdistan Province is home for large number of native plant and animal species therefore water quality and health of the lake are vital for conservation of these species. The present study aimed at evaluation of the Zarivar Lake using NSF- WQI as an indicator of water quality. WQI is a suitable tool to examine and classify spatial and temporal varia...

Water is an essential aspect of life and important in evolution. Recently the potable water quality topic has received much attention. The study aims to determine drinking Al-Najaf City by collecting samples throughout city comparing results with Iraqi guidelines (IQS 417) World Health Organization (WHO) guidelines, as well calculate WQI. Samples were tested laboratory between December 2021 Jun...

This article aims to analyze the contamination of water and bottom sediment at Arroio Moinho (Mill Stream), in Porto Alegre (Rio Grande do Sul, Brazil). From two sample collections, a series diagnostic measurements were carried out, such as: a) physical-chemical biological analysis water; b) quality index (WQI); c) metal contamination, granulometric mineralogical analyses sediment; d) total org...