Deep learning-based morphology classification of activated sludge flocs in wastewater treatment plants

نویسندگان

چکیده

A deep learning-based two-label classifier 1 recognized a 20% morphological change in the activated flocs. Classifier-2 quantitatively an abundance of filamentous bacteria

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Tetracycline resistance genes in activated sludge wastewater treatment plants.

The development and proliferation of antibiotic resistance in pathogenic, commensal, and environmental microorganisms is a major public health concern. The extent to which human activities contribute to the maintenance of environmental reservoirs of antibiotic resistance is poorly understood. In the current study, wastewater treatment plants (WWTPs) were investigated as possible sources of tetr...

متن کامل

Contribution to dynamic simulation of activated sludge wastewater treatment plants

In Portugal, many wastewater treatment plants are presently operated according to predetermined schemes, with few concerns to variations of the activated sludge process and without optimizing its performance to achieve a better effluent quality. Little attention has been given to the activated sludge models as powerful tools for wastewater treatment process understanding, design, control and op...

متن کامل

Effects of pistachio processing wastewater on treatment efficiency of urban wastewater using activated sludge process

Background: In this study, the effect of wastewater produced by pistachio processing in processing terminals on wastewater treatment plants with activated sludge process was investigated. Methods: The pilot of activated sludge was constructed at the laboratory scale similar to wastewater treatment plant in Kerman and it was investigated in different ratios of the wastewater of pistachio proces...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Environmental science

سال: 2021

ISSN: ['2634-3606']

DOI: https://doi.org/10.1039/d0ew00908c