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008 210905s2021 ua do f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.13.05.M.Sc.2021.Ah.E
100 0 _aAhmed Shawky Mahmoud Mohamed Okasha
245 1 0 _aExperimental and numerical investigations of using nano-particles in groundwater remediation /
_cAhmed Shawky Mahmoud Mohamed Okasha ; Supervised Ahmed Imam Hassan , Mohamed Attia Mohamed
246 1 5 _aدراسة معملية وعددية لاستخدام جسيمات النانو الدقيقة فى معالجة المياه الجوفيه
260 _aCairo :
_bAhmed Shawky Mahmoud Mohamed Okasha ,
_c2021
300 _a64 P. :
_bcharts , photoghraphs ;
_c30cm
502 _aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering
520 _aThis study investigates the efficiency of using Zeolite nano-clay and silica sand in the removal of iron from groundwater.The objective of the study was achieved through a number of steps. Firstly, batch experiments are conducted to determine the right size of silica sand to mix with nano-clay and their iron removal efficiency. Secondly, an experimental model simulating permeable reactive barrier (PRB) is built to identify the parameters that affect the removal efficiency and evaluate such effect (e.g., iron concentration,head difference, contact time, nano-clay dosage and thickness of PRB). Finally, a numerical contaminant transport model simulating nanoparticles{u2019} effect on contaminated groundwater is developed to obtain sorption isotherm coefficients. The results indicated that increasing iron concentration 20-80 ppm and head difference 4-15 cm decreases iron removal efficiency 58-31 % and 54-51 %, respectively. The mix of zeolite nano-clay and coarse silica sand improves iron removal efficiency specially at high concentrations 58-85 % at 20 ppm and 31-76 % at 80 ppm. Furthermore, increasing nano-clay dosage 1:30-1:15 slightly increases the removal efficiency about 6 %. However, increasing the thickness of filter layer 10-25 cm significantly improves the removal efficiency about 15 %.The MT3DMS numerical model included within the Groundwater Modeling System (GMS) was used along with the different experimental data to obtain reaction rate values for linear, Freundlich, and Langmuir isotherms
530 _aIssued also as CD
653 4 _aGroundwater remediation
653 4 _aIron removal
653 4 _aZeolite nano-clay
700 0 _aAhmed Imam Hassan ,
_eSupervisor
700 0 _aMohamed Attia Mohamed ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aShimaa
_eCataloger
942 _2ddc
_cTH
999 _c81982
_d81982