human activities in the recent years have considerably increased the rate of water pollution in many regions of the world. in this case study, the main sources of wastewater discharging into the gargar river were identified. using river and point source flow rates and water quality parameters measured along the river, the river water quality was simulated using a commonly used, one-dimensional ...

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-...

background: qual2k is a stream water quality model and was used to evaluate the water quality of the kine-vars river and assess the response of the river to nutrient management strategies. methods: for that purpose, 7 sample stations were selected and surface water samples were collected in the winter and summer of 2012 and were analyzed for temperature, dissolved oxygen, biological oxygen dema...

groundwater quality management is the most important issue in many arid and semi-arid countries, including iran.artificial neural network (ann) has an extensive range of applications in water resources management. in this study,artificial neural network was developed using matlab r2013 software package, and cl, ec, so4 and no3 qualitativeparameters were estimated and compared with the measured ...

algal growth and the water quality effects were studied and modeled in the lower reaches of the colusa basin drain as a stream system. statistical techniques such as the correlation matrix and the stepwise multiple regression are performed on such variables as algal biomass, ammonia, nitrate, orthophosphate, temperature, and the solar radiation intensity in deriving an algae statistical model. ...

the aim of this paper is to study the popular models used for the simulation of major elements of a water quality system. the present study compares results of the ce-qual-w2 model with the wasp5 and mike11 models to assess the water quality of pasikhan river. the contaminant loadings of nitrate and phosphate are utilized in the ce-qual-w2, wasp5 and mike11 simulations. this study is the first ...

in this study a machine learning algorithm was applied in order to develop a predictive model for the changes in phytoplankton biomass (chlorophyll a) in the lower nakdong river, south korea. we used a “hybrid evolutionary algorithm (hea)” which generated model consists of three functions ‘if-thenelse’ on the basis of a 15-year, weekly monitored ecological database. we used the average ...

Abstract Introduction: Determining the quality of water is particularly important in water resources management, and monitoring and zoning it are considered as a significant principle to be taken into account in planning. Schuller method is the commonest way to determine the quality of water. The present study was conducted in order to determine the quality of drinking water using Schuller mod...