Urban ecology and related environmental concerns
V. Mehdipour; M. Memarianfard; F. Homayounfar
Abstract
This research based on record and collected data from four stations at Eymir Lake, Turkey, which are monitored daily in seven months. Water quality monitoring using former methods are time-needed and expensive, while the application of gene expression programming is more understandable, rapid, and reliable ...
Read More
This research based on record and collected data from four stations at Eymir Lake, Turkey, which are monitored daily in seven months. Water quality monitoring using former methods are time-needed and expensive, while the application of gene expression programming is more understandable, rapid, and reliable which is used in this article to provide a prediction for dissolved oxygen. The concentration of oxygen is one of the most important factors of water quality identification, which shows if water has proper ability for aquatic life, agriculture, sanitary and drink, or not. Therefore, the concentration of oxygen is one of the most important parameters, which cannot be calculated by mathematical analyses directly. Phosphor, nitrate, phosphate, dissolved nitrogen, water alkalinity, water temperature, dissolved chlorophyll, electrical conductivity, precipitation rate, wind velocity and environment temperature are parameters which used as correlated factors to better prediction of dissolved oxygen in this paper. In the best model determination coefficient and root mean square error values respectively, were found to be 0.8031 and 0.0937. Finally, the assessment of forecasted data showed that the proposed approach produces satisfactory results.
Urban health, safety and environment (HSE)
M. Memarianfard; A. Mostafa Hatami; M. Memarianfard; M. Ajam
Abstract
In many industrialized areas, the highest concentration of particulate matter, as a major concern on public health, is being felt worldwide problem. Since the air pollution assessment and its evaluation with considering spatial dispersion analysis because of various factors are complex, in this paper, ...
Read More
In many industrialized areas, the highest concentration of particulate matter, as a major concern on public health, is being felt worldwide problem. Since the air pollution assessment and its evaluation with considering spatial dispersion analysis because of various factors are complex, in this paper, GIS-based modeling approach was utilized to zoning PM2.5 dispersion over Tehran, during one year, from 21 March 2014 to 20 March 2015. The RBF method was applied to obtain the zoning maps and determining the highest concentration of PM2.5 in the 22 Tehran’s regions for each season. The RMSEmin values according to the number of neighbors and types of functions in the radial basis function method, including completely regularized spline, Spline with tension, Multiquadric function, Inverse multiquadric function, and Thin-plate spline for each month have been assessed. By performing analysis on the errors, the numbers of neighbors were estimated. The numbers of neighbors in the model for each function were varied from 2 to 30. The results indicate that the models with 3 and 4 neighbors have the best performance with the lowest RMSE values with using RBF method. The highest PM2.5 concentrations have been occurred in the summer and winter especially at the center, south, and in some cases at northeast of the city.