abstract mine excavation, concentration and transportation of minerals make southern esfahan municipality and suburb of sepahanshahr vulnerable to pollution and endanger their people by heavy metals. nowadays, spectrophotometers and spectral reflectance of soils in different parts of spectrum are applied for estimating soil characteristics and pollutants. this research was conducted to study th...

this paper presents a survey on soil pb concentration around sepahanshahr town located in vicinity of isfahan. due to the lack of regulation and environmental education and awareness, sepahanshahr is now a rapid growing residential area suffering from the considerable consequences of poorly regulated mining activities operating in its vicinity. the aim of this study is to explore the spatial st...

polycyclic aromatic hydrocarbons (pahs) are a group of organic compounds made up of two or more fused benzene rings in linear, angular or cluster arrangements. the pahs are formed by incomplete combustion or high temperature pyrolytic process involving organic matter. thirty sampling sites were selected to characterize the pahs concentrations in ambient air in tehran. sixteen pahs were measured...

Environmental pollution in urban areas has resulted in the design of monitoring and decision-making systems. These systems are supported by the information systems that can manage spatial dynamics of pollution processes. Due to a wide range of data, which are necessary for modeling of spatio-temporal phenomena, new methods of data collection and management have to be created. This paper describ...

We propose a water pollution source mapping system based on ubiquitous sensor networks that fish robots search the source of water pollution autonomously. To verify the effectiveness of a water pollution source mapping system, we made a model water pool in which a fish robot pursues infrared measurements of reflection to various colors at the bottom of the pool. The model of water pollution con...

monitoring and controlling air quality parameters form an important subject of atmospheric and environmental research today due to the health impacts caused by the different pollutants present in the urban areas. the support vector machine (svm), as a supervised learning analysis method, is considered an effective statistical tool for the prediction and analysis of air quality. the work present...

Recently, kernel-based Machine Learning methods have gained great popularity in many data analysis and data mining fields: pattern recognition, biocomputing, speech and vision, engineering, remote sensing etc. The paper describes the use of kernel methods to approach the processing of datasets from environmental monitoring networks. Several typical problems of the environmental sciences and the...

The study is focused on the bio monitoring of Kukatpally IDL Lake using Benthic Macro invertebrates. It is a special way of assessing the water quality using Macro invertebrates (Bio-monitoring Working Party) as indicators of pollution. The results have been expressed as Bio-Mapping which denotes visually the level of pollution at different points.