Introduction: Unsustainable natural resources utilization is on the increase in the developing countries thus the ability of many local communities to meet their basic needs including food, water and shelter is jeopardized. Uncontrolled gold-mining in Sikasso region is one such an anthropogenic activity that is of great environmental concern to the local and national governments of Mali owing t...

Axios River is one of the most important transboundary rivers between the Greek and the neighbour country FYROM in the Balkan area. In this paper, Artificial Neural Networks (ANNs) were used to derive and to develop models for prediction the monthly values of some water quality parameters of the river Axios at a station located at Axioupolis site of Greece near the Greece FYROM borders by using...

Determining the spatiotemporal water quality patterns and their corresponding driving factors is crucial for lake water quality managements. This study analyzed hydrological data and concentrations of 11 water quality parameters, including total nitrogen, total phosphorus, ammonia nitrogen and chlorophyll–a (Chl–a), for water samples collected from 15 sampling sites between 2009 and 2014. The w...

Abstract The results of an integrated study aimed at restoring water quality in a large watershed including seven catchments in north east Iran are presented in this paper. This case study demonstrates how landscape metrics reflect direct or surrogate causes of the land use practices that are the determinants of water quality parameters. Water quality factors included EC, pH, Cl-1, HCO3-1, SO4-...

In this research, we aim to determine the water potability using three machine learning classification algorithms: decision tree, gradient boosting and bagging classifier. These algorithms were trained tested on a dataset of quality measurements. The outcomes experiment showed that algorithm achieved highest F1-score 0.78 among all algorithms. This indicates was most effective in correctly iden...