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مجله بهداشت محیط و توسعه پایدار، جلد ۱، شماره ۲، صفحات ۹۴-۱۰۱
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عنوان انگلیسی Determination of a Statistical Model to predict COD and TKN from the BOD5 and NH4+ Results (A Case Study: Wastewater Treatment Plant, Meybod Industrial Estate,Meybod, Yazd)
چکیده انگلیسی مقاله Introduction: The development of an appropriate model for the quality control of an industrial wastewater treatment system can save the time as well as the cost. This study was performed to determine an appropriate model in order to predict the COD and TKN parameters by BOD5 and NH4+ in the Meybod industrial estate waste water treatment plant (WWTP). Methods: This descriptive – analytical study was performed on 120 samples of the influent and effluent of the industrial estate wastewater treatment plant in JahanAbad, Meybod, Yazd in 2015. The studied parameters were BOD5, TKN, COD, and NH4+. After measuring, they were imported to SPSS and Excel software to determine the relationship between them and then the linear regression model of the statistical method was used. Results: The predictive results of COD values on the basis of BOD5 in the regression model showed that the coefficient of determination was 0.88 and the correlation coefficient was 0.93 (p = 0.000) for this relationship. The prediction of TKN values on the basis of NH4+ in the regression model showed that for this relationship the determination coefficient of TKN and NH4+ influent parameters was 0.877 and the correlation coefficient was 0.93 (p = 0.000). Conclusion: This study represented that using the linear regression model for predicting COD and TKN values through BOD5 and NH4+ was in close accordance with the laboratory data and can thus be applied when the Meybod industrial estate WWTP faces time limitations or sampling problems.
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نویسندگان مقاله پروانه talebihematabadi | parvaneh talebihematabadi
msc student, department of natural recourses engineering, branch of environmental pollution, school of agriculture and natural resources, islamic azad university of meybod, yazd, iran.

سازمان اصلی تایید شده: دانشگاه آزاد اسلامی علوم و تحقیقات (Islamic azad university science and research branch)

هادی زارعی محمودآبادی | hadi zarei mahmoud abadi
assistant professor, department of environment, college of agriculture and natural resources, islamic azad university of meybod, yazd, iran.

سازمان اصلی تایید شده: دانشگاه آزاد اسلامی علوم و تحقیقات (Islamic azad university science and research branch)

هادی اسلامی | hadi eslami
phd candidate,environmental science and technology research center, department of environmental health engineering, school of public health, shahidsadoughi university of medical sciences, yazd, iran.
نشانی اینترنتی http://jehsd.ssu.ac.ir/browse.php?a_code=A-10-1-10&slc_lang=en&sid=en
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زبان مقاله منتشر شده en
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