نتایج جستجو برای: water treatment plant

تعداد نتایج: 2214160  

2010
Yunseop Kim Johnny Park Henry K. Ngugi Brian L. Lehman

Plant stress significantly reduces plant productivity. Automated on-the-go mapping of plant stress allows for timely intervention and mitigation of the problem before critical thresholds are exceeded, thereby maximizing productivity. A hyperspectral camera analyzed the spectral signature of plant leaves to identify the plant water stress. Five different levels of water treatment were created on...

Journal: :AI in Engineering 1997
Claude Gagnon Bernard P. A. Grandjean Jules Thibault

Abstract: Artificial Neural Network (ANN) techniques are applied to the control of coagulant dosing in a drinking water treatment plant. Coagulant dosing rate is non-linearly correlated to raw water parameters such as turbidity, conductivity, pH, temperature, etc. An important requirement of the application is robustness of the system against erroneous sensor measurements or unusual water chara...

2008
Mohammed O. Ramadan Hanan A. Fouad Ahmed M. Hassanain

A large quantity of sludge is generated each year from water treatment plants in Egypt. Disposing the sludge to the nearest water stream is the common practice in Egypt, which accumulatively rise the aluminum concentrations in water and consequently in human bodies. This practice has been linked to occurrence of Alzheimer’s disease. Landfill disposal of the sludge is impractical because of the ...

Afshin Maleki, Mahdi Hadi Mehri Solaimany-Aminabad

Application of a reliable forecasting model for any water treatment plant (WTP) is essential in order to provide a tool for predicting influent water quality and to form a basis for controlling the operation of the process. This would minimize the operation and analysis costs, and assess the stability of WTP performances. This paper focuses on applying an artificial neural network (ANN) approac...

2017
Shane C. Lishawa Brendan D. Carson Jodi S. Brandt Jason M. Tallant Nicholas J. Reo Dennis A. Albert Andrew M. Monks Joseph M. Lautenbach Eric Clark

The ecological impacts of invasive plants increase dramatically with time since invasion. Targeting young populations for treatment is therefore an economically and ecologically effective management approach, especially when linked to post-treatment monitoring to evaluate the efficacy of management. However, collecting detailed field-based post-treatment data is prohibitively expensive, typical...

2011
Eunyoung Ko Jaesang Cha Juyoung Lee Jintae Kim Jaekwon Shin Jawan Gu

This paper dealt with a detection of electric Arc signal by using Matched Filter in wastewater treatment plant of SWG(Smart Water Grid). We proposed one of solutions to prevent fires due to arc signals happened frequently in SWG linked wastewater treatment plant. As an arc signal detection solution in wastewater treatment plant of SWG, we proposed MF(matched filter) based arc signal detection a...

Journal: :تحقیقات نظام سلامت 0
مهدی حاجیان نژاد دانشیار، مرکز تحقیقات محیط زیست، دانشگاه علوم پزشکی اصفهان، اصفهان، ایران. احمدرضا رهسپار کارشناس ارشد محیط زیست، شبکه بهداشت داراب، استان فارس، ایران.

background: rivers and streams are important sources of surface waters. water quality of these resources depends on many factors including hydrologic, physicochemical and biological factors. these resources are important in terms of social, economic and political development.. zayanderood river is the only river in central basin of iran that has permanent fresh water. this river has an importan...

2017
Dalong Zhang Qingjie Du Zhi Zhang Xiaocong Jiao Xiaoming Song Jianming Li

Although atmospheric vapour pressure deficit (VPD) has been widely recognized as the evaporative driving force for water transport, the potential to reduce plant water consumption and improve water productivity by regulating VPD is highly uncertain. To bridge this gap, water transport in combination with plant productivity was examined in tomato (Solanum lycopersicum L.) plants grown under cont...

2007
Dominic L. Boccelli Mitchell J. Small Urmila M. Diwekar

Both inherent natural variability and model parameter uncertainty must be considered in the development of robust and reliable designs for drinking water treatment. This study presents an optimization framework for investigating the effects of five variable influent parameters and three uncertain model parameters on the least-cost treatment plant configuration contact, direct, or nonsweep conve...

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