![](/images/graphics-bg.png)
Sludge Bulking Prediction Using Principle Component Regression and Artificial Neural Network
المؤلفون المشاركون
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-12-11
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
Sludge bulking is the most common solids settling problem in wastewater treatment plants, which is caused by the excessive growth of filamentous bacteria extending outside the flocs, resulting in decreasing the wastewater treatment efficiency and deteriorating the water quality in the effluent.
Previous studies using molecular techniques have been widely used from the microbiological aspects, while the mechanisms have not yet been completely understood to form the deterministic cause-effect relationship.
In this study, system identification techniques based on the analysis of the inputs and outputs of the activated sludge system are applied to the data-driven modeling.
Principle component regression (PCR) and artificial neural network (ANN) were identified using the data from Chongqing wastewater treatment plant (CQWWTP), including temperature, pH, biochemical oxygen demand (BOD), chemical oxygen demand (COD), suspended solids (SSs), ammonia (NH4+), total nitrogen (TN), total phosphorus (TP), and mixed liquor suspended solids (MLSSs).
The models were subsequently used to predict the sludge volume index (SVI), the indicator of the bulking occurrence.
Comparison of the results obtained by both models is also presented.
The results showed that ANN has better prediction power (R2=0.9) than PCR (R2=0.7) and thus provides a useful guide for practical sludge bulking control.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Lou, Inchio& Zhao, Yuchao. 2012. Sludge Bulking Prediction Using Principle Component Regression and Artificial Neural Network. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-1001423
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Lou, Inchio& Zhao, Yuchao. Sludge Bulking Prediction Using Principle Component Regression and Artificial Neural Network. Mathematical Problems in Engineering No. 2012 (2012), pp.1-17.
https://search.emarefa.net/detail/BIM-1001423
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Lou, Inchio& Zhao, Yuchao. Sludge Bulking Prediction Using Principle Component Regression and Artificial Neural Network. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-1001423
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1001423
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
![](/images/kashef-image.png)