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Articles by M. Saeedi
Total Records ( 4 ) for M. Saeedi
  A. Rezaei Bazkiaei and M. Saeedi
  In the present study fishing participation activities of San Francisco Bay region has been modeled in System Dynamic modeling software Vensim, considering four affecting parameters (two quality parameters; water quality index, food web index and two socio-economical parameters; population, income) of study region. Four modeling scenarios were generated to simulate future projection of target parameter. Results showed comparatively different values in four scenarios at the target year 2015, as it could be expected by the different nature of controlling parameters. But there are some similar patterns contributed to type of parameters. For socio-economical parameters results shows the same pattern in comparison with historical change trend of fishing participation in the region (more values) and on the other side, quality parameters have shown the same pattern in a comparison basis with historical changes (less values). With the extent of available data, knowledge of affecting processes in the modeled system and not weighted usage of controlling parameters in this investigation, results can only strongly indicate the same impact of socio-economical parameters and same impact of water quality parameters on fishing participation activities of San Francisco Bay region.
  M. Saeedi and A.R. Karbassi
  In the present investigation seven surficial sediment samples from southern part of the Caspian Sea were subjected to bulk and chemical partitioning studies. Though concentrations of metals (except for Mn and Cd) falls within the ranges of mean crust and mean sediments, but chemical partitioning data is indicative of pollution in the area of study. Proportions of metals that are presented in high risk fraction follows the pattern of Mn (88%)>Pb (71%)>Cd (61%)>Zn (55%)>Cu (53%)>Ni (35%)>Co (33%). Computed geochemical indices clearly reveal that sediments of coastal area of the Caspian Sea are contaminated with Cd, Mn and Pb to various degrees. Cluster analysis shows the affinity of Cu, Pb, Co and Zn with organics. Presence of considerable amount of Mn in reducible phase is suggestive of anoxic conditions that prevail over the sediments. High concentration of Ca (mean = 15.39%) is indicative of higher productivity in spite of presence of many pollutants in the area of study. Results of the present investigation showed that geochemical accumulation index (Igeo) could not be effectively used to sediment pollution assessment in marine environment.
  M. Saeedi and A.Rezaei Bazkiaei
  In the present study, physical properties, chemical composition and leaching properties of a special waste type; fuel oil combustion residue of thermal a power plant, have been studied. Toxicity Characteristic Leaching Procedure (TCLP), sequential chemical extraction (SCE), alkalinity solubility and release as a function of pH` leach tests and X-ray Diffraction (XRD) analysis have been employed to achieve a more comprehensive understanding of waste characteristics. Elemental V, Ni, Fe, Cr, Pb and Cd concentrations have been traced in leachates from different tests. Results have shown special characteristics such as; extremely low pH level about 2.7, high Sulphur content; 21.50 weight percent and elemental V complex formation in untreated material. Results of TCLP test have shown excessively high concentration of V, Ni, Fe, Cr, Pb and Cd in leachates as 537.75, 472.5, 518.5, 38.54, 19.3 and 5.55 mg L-1, respectively. Results of SCE test show Ni, Fe and Cr, are most likely to be present in residue fraction, Pb in exchangeable fraction, Cd in bound to iron and manganese oxides and V is most likely to be present in bound to organic matter and sulfides but also a considerable fraction of it resulted to be in bound to iron and manganese oxides. Results of alkalinity, solubility and release as a function of pH test show relatively same release change pattern for Ni and Fe in pH range 2 to 5, but release reduction in pH 6 for Fe has steeper pattern than Ni. For other constituents, release changes do not show such abrupt pattern with pH variation. According to TCLP test results, the studied waste should be classified as hazardous and should certainly be stabilized and then disposed of according to hazardous waste disposal considerations. Sequential chemical extraction and release as a function of pH tests have made useful insights of waste intrinsic characteristics that can help for a better decision on best remedial technology that matches the waste characteristics.
  M. Saeedi , H. Fakhraee and M. Rezaei Sadrabadi
  Many air dispersion models have been developed to calculate concentration of pollutants in different distances from the emission source. These models have different precision subject to some errors relating to discrete stability classes which would affect the lateral and vertical dispersion coefficient calculations. In order to reduce these errors in the present investigation, a fuzzy rule-based pollution dispersion model is developed. Structure of the proposed fuzzy model is based upon established mathematical equations in the literature. The fuzzy model, however, resolves the resultant problems of the mutation between piecewise stability classes, dispersion coefficients as well as mathematical equations by considering fuzzy constraints instead of crisp ones. Efficiency of the proposed model is represented via a real numerical example and comparison of the results with other existing models.
 
 
 
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