9193

8495

كارشناسي ارشد

خاكشناسي

اصفهان: دانشگاه صنعتي اصفهان، دانشكده كشاورزي

1393

دوازده،89ص.: مصور،جدول،نمودار

ص.ع.به فارسي و انگليسي

مهران شيرواني

حسين خادمي، محمدرضا مصدقي

27/7/93

حسين شريعتمداري، محمد مهدي مجيدي

مهندسي كشاورزي

ID8495

90 Estimation of Pb Sorption Parameters for Soils from Mazandaran province using Regression Models Amin Rahimi Ratki aminrahimiratki @yahoo com July 22 2014 Department of Soil Science Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiSupervisor Mehran Shirvani shirvani@cc iut ac irAbstractToday pollution of soil and groundwater by lead Pb is one of the most important concerns in denselypopulated and industrial areas Sorption of Pb by soil solid phase determines the mobility transport andbioavailability of Pb in soils Parameters of Pb sorption by soils can be determined using sorption isotherms Sorption isotherms can provide useful information about the capacity and affinity of soils for Pb sorption Laboratory tests to determine the soil sorption coefficients arecostly time consuming and hazardous Thesorption parameters can be easily estimated from soil properties such as clay silt sand organic matter calcium carbonate and pH using siutable pedotransfer functions The purpose of this research was to developappropriate pedotransfer functions to estimate the sorption coefficients of Pb in soils from Mazandaranprovince using multiple regression analysis For this purpose Pb sorption isotherms were obtained for 100soil samples and various regression equations were developed for estimating the parameters of Pb sorptionparameters based on the physical and chemical characteristics of the soils Results showed that capacityparameters of Pb sorption qmax and KF were significantly correlated with the characteristics of the soil including clay organic matter CEC CCE and silt Freundlich exponent N representing the intensity of thesorption of Pb in soils were significantly affected by organic matter content pH and CEC of the soils Various models to estimate the sorption parameters of Pb in the soils were developed To estimate thesorption capacity parameters qmax and KF properties such as organic matter calcium carbonate CEC clayand silt entered the models but average distribution coefficient K d Freundlich N and Langmuir K Lparameters showed non significant coefficients with soil properties In general clay and organic mattercontent CEC CCE and silt were the most important soil properties that entered the predictive models Keywords pedotransfer functions multiple regression sorption isotherms multipleregression lead Mazandaran province

مهران شيرواني

حسين خادمي، محمدرضا مصدقي

حسين شريعتمداري، محمد مهدي مجيدي