Mechanism Analysis and Propagation Model of Heavy Metals Contamination in Urban Topsoil
نویسنده
چکیده
In order to further research on the polluting condition and spreading features of heavy metals in urban surface soil, this study makes statistical analysis on indexes of 8 heavy metal concentrations. Then Are GIS geostatistical analyst was used for Kriging interpolation of each kind of heavy metal concentration before figuring out the spatial distribution. Firstly, heavy metal contamination was analyzed by single-element pollution evaluation and multi-element pollution evaluation, before rationality analysis. Then, correlation extents between heavy polluting metals were calculated in each region by rationality analysis, leading to the correlations between the heavy metals. Finally, based on propagating features of different heavy metals, propagation models in water and atmosphere were established. Additionally, according to heavy metal distribution map, distribution point of high concentration was searched. With the assumption of the number of pollution source, theoretical concentration of sample point could be figured out, after the superposition of pollution intensity using propagation model based on data of the distribution points. Thus, the optimization model was established for locating the pollution source by minimizing the difference between theoretical value and actual value.
منابع مشابه
Risk Assessment and Spatial Modeling of Heavy Metals Contamination in Topsoil around Venarj Manganese Mine by Artificial Neural Networks Method
Background and Objectives: The aim of the present study was to assess the probable heavy metals contamination in topsoil surrounding Venarj mine in Qom province using contamination indices and artificial neural networks method. Material and methods: in order to evaluate the contamination status around Venarj mine in Qom province, 70 soil samples were collected in an area of 22 Km2, and the to...
متن کاملAssessment of Heavy Metal Contamination in Topsoil of Northern Coasts of Persian Gulf
Persian Gulf and its coastal areas are the world's largest source of crude oil and related industries govern the region. One of the contaminants in this area is heavy metals associated with oil spill. More importantly, vanadium, nickel and zinc can be named in this regard. In this study, the contamination of northern coasts of Persian Gulf is selected to investigate for trace metals of V, Ni, C...
متن کاملStatistical evaluation of topsoil heavy metal pollution around a lead and zinc production plant in Zanjan province, Iran
Heavy metal contamination around the National Iranian Lead and Zinc Company (NILZ) in Zanjan province was evaluated in this paper. Collected data were used to appraise the degree of soil contamination and also the source of pollution in the study area based on geoaccumulation index (Igeo), and enrichment factor (EF). The levels of Fe, Zn, Cd and Pb in the samples exceed those reported in litera...
متن کاملMachine Learning Algorithm for Prediction of Heavy Metal Contamination in the Groundwater in the Arak Urban Area
This paper attempts to predict heavy metals (Pb, Zn and Cu) in the groundwater from Arak city, using support vector regression model(SVR) by taking major elements (HCO3, SO4) in the groundwater from Arak city. 150 data samples and several models were trained and tested using collected data to determine the optimum model in which each model involved two inputs and three outputs. This SVR model f...
متن کاملEvaluation of background geochemical speciation of heavy metals in overburden topsoil of bituminous sand deposit area, Ondo state, Nigeria
Metals are ubiquitous within the earth crust. However, the exceptional high-level concentration of heavy metals in the soil due to natural or anthropogenic activities and the chemical forms in which they exist determine the level of risk they portend to the environment. This work was aimed at determining the background level of the presence of seven priority toxic metals (Cr, Ni, Pb, As, Cd, Cu...
متن کامل