The paper describes linear and nonlinear modeling of the wastewater data for the performance evaluation of an up-flow anaerobic sludge blanket (UASB) reactor based wastewater treatment plant (WWTP). Partial least squares regression (PLSR), multivariate polynomial regression (MPR) and artificial neural networks (ANNs) modeling methods were applied to predict the levels of biochemical oxygen dema...

Biochemical oxygen demand (BOD) exertion patterns in anaerobically treated farm dairy wastewater were investigated on a laboratory scale. Oxygen uptake was typically characterised by a period of rapid oxygen exertion, a transitional "shoulder" phase and a period of slower activity. A multi-species model, involving rapidly degradable and slowly degradable material, was developed, leading to a do...

In this study, in order to determine the efficiency of estimating annual water pollution loads from remote-sensed land cover classification and ground-observed hydrological data, an empirical model was investigated. Remote sensing data imagery from National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer were applied to an 11 year (1994–2004) water quality...

We are concerned with the inverse problem of detecting sources in a coupled diffusion-reaction system. This problem arises from the Biochemical Oxygen Demand-Dissolved Oxygen model() governing the interaction between organic pollutants and the oxygen available in stream waters. The sources we consider are point-wise and simulate stationary or moving pollution sources. The ultimate objective is ...

Background: This study assessed the removal of organic material and nutrients from full-scale subsurface flow (SSF) constructed wetlands (CWs) followed by anaerobic stabilization ponds under environmental conditions. Methods: The effluents were distributed evenly in 12 reed beds. Samples were taken twice monthly for a total of 6 months from several points in the wetland. Biochemical oxygen dema...

Nowadays, several techniques such as; Fuzzy Inference System (FIS) and Neural Network (NN) are employed for developing of the predictive models to estimate parameters of water quality. The main objective of this study is to compare between the predictive ability of the Adaptive Neuro-Fuzzy Inference System (ANFIS) model and Artificial Neural Network (ANN) model to estimate the Biochemical Oxyge...

The leather tanning industry of Sukanggang Garut is an that has the potential to produce wastewater contains a lot organic substances. Therefore, it necessary conduct effective test determine parameters pollution in industry. purpose this study was value water pH, Chemical Oxygen Demand (COD), Biochemical oxygen (BOD), Total Suspended Solid (TSS), and amount chromium concentration sample taken....

The identification and estimation of discrete-time models of BOD-DO (Biochemical Oxygen Demand-Dissolved Oxygen) in river systems is considered using a multivariable extension of the instrumental variable approximate maximum likelihood techniques of time series analysis. The dynamic water quality models relate water quality at specific points on the river and are used in a design study to evalu...

Insufficient oxygen transfer can result in anaerobic biofilms and odor generation during biochemical oxygen demand (BOD) removal in trickling filters, and can limit ammonia oxidation in nitrifying trickling filters. Since oxygen transfer to biofilms in plastic media trickling filters occurs by diffusion of oxygen through thin fluid films, previous models used solutions based on penetration theo...

The 5-day biochemical oxygen demand (BOD5) test has been used for over a century to evaluate the concentration of biodegradable organic matter in wastewater effluents. The BOD test is a simple batch test, but it is also time consuming, labor intensive, imprecise, and, due to the dilution of the wastewater, takes a relatively long time to complete. Advances in laboratory instruments and lab ware...