Toxicity tests to assess pollutants removal during wastewater treatment and the quality of receiving waters in Argentina

2001 ◽  
Vol 16 (3) ◽  
pp. 217-224 ◽  
Author(s):  
Carlos E. Gómez ◽  
Liliana Contento ◽  
Andrés E. Carsen
Keyword(s):  
Wastewater Treatment ◽  
Toxicity Tests ◽  
Receiving Waters ◽  
Pollutants Removal

Stormnet: a connectionist model for dynamic management of wastewater treatment plants during storm events

1996 ◽  
Vol 33 (1) ◽  
pp. 247-256
Author(s):  
N. Gong ◽  
X. Ding ◽  
T. Denoeux ◽  
J.-L. Bertrand-Krajewski ◽  
M. Clément
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plants ◽  
Real Data ◽  
Accurate Information ◽  
Connectionist Model ◽  
Storm Events ◽  
Deterministic Models ◽  
Receiving Waters ◽  
Solid Transport

Models for solid transport in sewers during storm events are increasingly used. An important application of these models is the management of treatment plants during storm events so as to improve the quality of receiving waters. However, a major difficulty that prevents more general use of these tools is their calibration, which requires field data, accurate information about catchments and sewers, and a specific methodology. For that reason, a connectionist model called STORMNET has been designed to reproduce and replace usual conceptual and deterministic models. This model requires fewer data, can be automatically calibrated, and is comparatively simple. It is composed of two recurrent neural networks for the simulation of hydrographs and pollutographs of suspended solids, respectively. In this paper, we present an updated version of STORMNET designed for optimal management of wastewater treatment plants during storm events. This model has been validated using both model and real data. The results show the efficiency of STORMNET as a computational tool for simulating stormwater pollution.

Predictive performance modeling of Habesha brewery wastewater treatment plant using artificial neural networks

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Neural Networks ◽  
Water Quality ◽  
Wastewater Treatment ◽  
Artificial Neural Networks ◽  
Performance Modeling ◽  
Predictive Performance ◽  
Mathematical Tool ◽  
Effluent Water ◽  
Artificial Neural

Recently, process control in wastewater treatment plants (WWTPs) is, mostly accomplished through examining the quality of the water effluent and adjusting the processes through the operator’s experience. This practice is inefficient, costly and slow in control response. A better control of WTPs can be achieved by developing a robust mathematical tool for performance prediction. Due to their high accuracy and quite promising application in the field of engineering, Artificial Neural Networks (ANNs) are attracting attention in the domain of WWTP predictive performance modeling. This work focuses on applying ANN with a feed-forward, back propagation learning paradigm to predict the effluent water quality of the Habesha brewery WTP. Data of influent and effluent water quality covering approximately an 11-month period (May 2016 to March 2017) were used to develop, calibrate and validate the models. The study proves that ANN can predict the effluent water quality parameters with a correlation coefficient (R) between the observed and predicted output values reaching up to 0.969. Model architecture of 3-21-3 for pH and TN, and 1-76-1 for COD were selected as optimum topologies for predicting the Habesha Brewery WTP performance. The linear correlation between predicted and target outputs for the optimal model architectures described above were 0.9201 and 0.9692, respectively.

Wastewater Treatment Using Marine Algae Biomass as Pollutants Removal

2018 ◽  
Vol 69 (5) ◽  
pp. 1089-1098
Author(s):  
Elena Suzana Biris Dorhoi ◽  
Maria Tofana ◽  
Simona Maria Chis ◽  
Carmen Elena Lupu ◽  
Ticuta Negreanu Pirjol
Keyword(s):  
Wastewater Treatment ◽  
Green Algae ◽  
Marine Algae ◽  
Tap Water ◽  
Ulva Lactuca ◽  
Raw Material ◽  
Bioactive Substances ◽  
Algae Biomass ◽  
Marine Biomass ◽  
Pollutants Removal

The valorification of the marine biomass is an important resource for many industries like pharmaceutical, supplying raw material for the extraction of bioactive substances (vitamins, sterols and collagen), cosmetics, biofertilizers and wastewater treatment. In the last years a special attention has been given to the use of macroalgae. The aim of this study was to emphasize the capacity of two representative green algae species frequent presents on the Romanian shore, Ulva lactuca (L.) and Cladophora vagabunda (L.) Hoek, to remove two usual detergents from wastewater. The green algae washed, dried at room temperature, macerated to powder were introduced into different filter paper for comparison, then immersed in waste water treated with different concentrations of detergents. Tap water was used for the experiment. The results show that Ulva lactuca (L.) species is suitable than Cladophora vagabunda (L.) Hoek species, for wastewater treatment.

Problems in Detoxifying Fresh Waters Polluted by Base Metal Minewaters

1971 ◽  
Vol 6 (1) ◽  
pp. 53-79
Author(s):  
Vaclav Kresta ◽  
Gerald B. Ward
Keyword(s):  
Chelating Agents ◽  
Toxicity Tests ◽  
Contaminated Water ◽  
Total Dosage ◽  
Toxic Compounds ◽  
Mining Sites ◽  
Know How ◽  
Chemical Agents ◽  
Copper And Zinc ◽  
Receiving Waters

Abstract At many mining sites process (milling) and drainage waters escape treatment and cause receiving waters to become contaminated above avoidance or even toxic levels for fish. The present know-how on chemical agents which can be used to complex with copper and zinc to form non-toxic compounds is limited to chelating agents such as NTA or EDTA. Preferential reaction with trivalent ions such as iron means that such ions must be tied up before complexation of copper and zinc can occur. As the amount of iron in contaminated water is usually two to eight times higher than that of copper and zinc, high dosages of chelating agents are usually required. In this project, the use of salts of anthranilic acid, especially calcium anthranilate, was investigated. The consumption of anthranilateions was found to be about the same as that of NTA or EDTA, i.e. four milligrams per milligram of copper or zinc. The total dosage to be applied to contaminated waters would be, however, several times lower as iron is not involved in the reactions and copper and zinc are complexed in that order. Toxicity tests to compare the efficiency and dasages of calcium anthranilate and NTA or EDTA are presently being carried out.

Use of Biomonitoring to Control Toxics in the United States

1988 ◽  
Vol 20 (10) ◽  
pp. 101-108 ◽  
Author(s):  
Nelson A. Thomas
Keyword(s):  
Water Quality ◽  
Chronic Toxicity ◽  
National Policy ◽  
Single Species ◽  
Field Studies ◽  
The United States ◽  
Toxicity Tests ◽  
Toxic Pollutants ◽  
Receiving Waters ◽  
Biological Field

A biomonitoring program has been developed in support of the National Policy for the Development of Water Quality-Based Permit Limitations for Toxic Pollutants. The program focuses on the use of laboratory toxicity tests on aquatic plants and animals to predict ecosystem impact caused by toxic pollutants. Both acute and chronic toxicity tests were developed to test effluents and ambient waters. Laboratory and biological field studies were conducted at nine sites. Single species laboratory toxicity tests were found to be good predictors of impacts on the ecosystem when two or more species were used. Biomonitoring can be undertaken either on effluents and/or on the receiving waters. In that toxicity related to seeps, leachates and storm sewers has often been found upstream from dischargers, it is beneficial to conduct both effluent and ambient biomonitoring.

Automatic buffer capacity based sensor for effluent quality monitoring

1996 ◽  
Vol 33 (1) ◽  
pp. 81-87
Author(s):  
L. Van Vooren ◽  
P. Willems ◽  
J. P. Ottoy ◽  
G. C. Vansteenkiste ◽  
W. Verstraete
Keyword(s):  
Wastewater Treatment ◽  
Buffer Capacity ◽  
Wastewater Treatment Plants ◽  
Data Interpretation ◽  
Full Scale ◽  
Quality Monitoring ◽  
Effluent Quality ◽  
Capacity Curves ◽  
On Line

The use of an automatic on-line titration unit for monitoring the effluent quality of wastewater plants is presented. Buffer capacity curves of different effluent types were studied and validation results are presented for both domestic and industrial full-scale wastewater treatment plants. Ammonium and ortho-phosphate monitoring of the effluent were established by using a simple titration device, connected to a data-interpretation unit. The use of this sensor as the activator of an effluent quality proportional sampler is discussed.

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