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role of artificial intelligence network model for predicting of iron, manganese and ammonia of drinking water in a green sand fixed bed
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DOR
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20.1001.2.9919199705.1399.11.1.146.1
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نویسنده
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- - ,- - ,- - ,- -
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منبع
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كنگره مهندسي شيمي - 1399 - دوره : 11 - یازدهمین کنگره بین المللی مهندسی شیمی - کد همایش: 99191-99705
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چکیده
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Usually iron and manganese are found in groundwater and ammonia is one of common pollutants in urban, agriculture and industrial wastewater# fixed bed of green sand was used as adsorbent system to remove iron, manganese and ammonia from aqueous solution# flow rate of aqueous solution was changed from 50 to 80 ml/min and mass of adsorbent was changed from 15 to 25 gr and the change of outlet concentration with time was recorded at each flow rate and mass of adsorbent# the outlet concentration predicted by using artificial neural network (ann) and bayesian belief network (bbn)# finally results have been compared with experimental date and a good agreement has been seen between experimental and predicted concentration#
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کلیدواژه
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iron ,manganese ,ammonia ,adsorbent ,concentration ,flow rate ,neural network ,bayesian belief network
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آدرس
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guilan university, iran, guilan university, iran, guilan university, iran, guilan university, iran
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Authors
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