Assessment of pollution in roadside soils by using multivariate statistical techniques and contamination indices

Assessment of metals contamination in sediments from the Mediterranean Sea (Libya) using pollution indices and multivariate statistical techniques

Total metals concentrations, Geoaccumulation index (Igeo), Pollution load index (PLI), degree of contamination (DC) and sediment quality guidelines (SQGs) were used to assess heavy metals contamination status and ecological risk in the sediments from the Libyan Mediterranean coast. The distribution pattern of heavy metals in the sediment follows the sequence: Fe>Pb>Mn>Ni>Zn>Cr>Cu>Co>Cd. Over th...

Evaluation of Heavy Metal Contamination and Ecological Risk Assessment in Sediments of Karun using Aquatic Pollution Indices

Background & Aims of the Study: The current study was designed to determine the quality of sediments in Karun in Ahvaz, Iran, according to aquatic pollution indices. Materials and Methods: The sediment samples were obtained from six river stations in summer and winter. The sediment samples were air-dried, sifted, homogenized, and stored in plastic bags, and the concentrations of metals were...

Assessment of spatial changes of stream erosion under environmental factors in Kojoor Firoozkolay region using multivariate statistical techniques

source identification of heavy metals in soils surrounding the zanjan zinc town by multivariate statistical techniques

introduction: the accumulation of heavy metals (hms) in the soil is of increasing concern due to food safety issues, potential health risks, and the detrimental effects on soil ecosystems. hms may be considered as the most important soil pollutants, because they are not biodegradable and their physical movement through the soil profile is relatively limited. therefore, root uptake process may p...

Constructing Fuzzy Controllers for Multivariate Problems by Using Statistical Indices

This paper proposes an approach for solving multivariate control problems with a fuzzy controller. Instead of using selected input variables, statistical indices are extracted to feed the fuzzy controller. The original input space is transformed into an eigenspace. If a sequence of training data are sampled in a local context, a small number of eigenvectors which possess larger eigenvalues prov...