scholarly journals Do Contaminants Originating from State-of-the-Art Treated Wastewater Impact the Ecological Quality of Surface Waters?

2015 ◽  
pp. 235-260
Keyword(s):  
Surface Waters ◽  
State Of The Art ◽  
Treated Wastewater ◽  
Ecological Quality

scholarly journals Do Contaminants Originating from State-of-the-Art Treated Wastewater Impact the Ecological Quality of Surface Waters?

PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e60616 ◽  
Author(s):  
Daniel Stalter ◽  
Axel Magdeburg ◽  
Kristin Quednow ◽  
Alexandra Botzat ◽  
Jörg Oehlmann
Keyword(s):  
Surface Waters ◽  
State Of The Art ◽  
Treated Wastewater ◽  
Ecological Quality

scholarly journals What drives the ecological quality of surface waters? A review of 11 predictive modeling tools

2021 ◽  
pp. 117851
Author(s):  
Hans Visser ◽  
Niels Evers ◽  
Arjan Bontsema ◽  
Jasmijn Rost ◽  
Arie de Niet ◽  
...  
Keyword(s):  
Predictive Modeling ◽  
Surface Waters ◽  
Ecological Quality ◽  
Modeling Tools

Investigation of chemical parameters along the Nagy Brook

2014 ◽  
Vol 5 (1) ◽  
pp. 41-45
Author(s):  
N. Mazsu ◽  
A. Szabolcsik ◽  
S. Forian ◽  
N. Boros ◽  
I. Bodnar
Keyword(s):  
Water Quality ◽  
Surface Waters ◽  
Point Sources ◽  
Common Interest ◽  
Treated Wastewater ◽  
Chemical Parameters ◽  
Water Stream ◽  
Sources Of Pollution ◽  
Water Conditions

Abstract Several small and big water streams cut across Hungary; the protection of these water resources is in our common interest. To perform this protection, it is necessary to carry out extensive condition surveys of these surface waters. Unfortunately, our surface water streams are not properly investigated; it is true especially for the small ones. That is why we started to study the water quality of Nagy Brook, which is loaded by many point sources of pollution. During our work we have done measurements on spot and in laboratory, as well. In this paper we are presenting only those results which were measured on the spots along the Nagy Brook. Our results demonstrate how large the effect of inflowing treated wastewater is on the quality of a seasonal water stream and how the water level affects the studied parameters and what kind of the chemical and ecological water conditions can be developed under these circumstances.

DECOLOURIZATION AND COD REMOVAL OF WASEWATER FROM ETHANOL PRODUCTION PROCESS FROM MOLASSES BY COAGULANTION USING INORGANIC ALUM

2010 ◽  
Vol 13 (3) ◽  
pp. 92-102
Author(s):  
Trung Duc Le
Keyword(s):  
Ethanol Production ◽  
Oxygen Demand ◽  
Cod Removal ◽  
Treated Wastewater ◽  
Treatment Processes ◽  
Physico Chemical ◽  
Biological Methods ◽  
Treatment Step ◽  
Main Material

The industrial production of ethanol by fermentation using molasses as main material that generates large quantity of wastewater. This wastewater contains high levels of colour and chemical oxygen demand (COD), that may causes serious environmental pollution. Most available treatment processes in Vietnam rely on biological methods, which often fail to treat waste water up to discharge standard. As always, it was reported that quality of treated wastewater could not meet Vietnameses discharge standard. So, it is necessary to improve the treatment efficiency of whole technological process and therefore, supplemental physico-chemical treatment step before biodegradation stage should be the appropriate choice. This study was carried out to assess the effect of coagulation process on decolourization and COD removal in molasses-based ethanol production wastewater using inorganic coaglutant under laboratory conditions. The experimental results showed that the reductions of COD and colour with the utilization of Al2(SO4)3 at pH 9.5 were 83% and 70%, respectively. Mixture FeSO4 – Al2(SO4)3 at pH 8.5 reduced 82% of colour and 70% of COD. With the addition of Polyacrylamide (PAM), the reduction efficiencies of colour, COD and turbidity by FeSO4 – Al2(SO4)3 were 87%, 73.1% and 94.1% correspondingly. It was indicated that PAM significantly reduced the turbidity of wastewater, however it virtually did not increase the efficiencies of colour and COD reduction. Furthermore, the coagulation processes using PAM usually produces a mount of sludge which is hard to be deposited.

Fluctuations of Annual Precipitation and Water Resources Quality in Ukraine

2016 ◽  
Vol 10 (4s) ◽  
pp. 621-629
Author(s):  
Valentina Pidlisnyuk ◽  
◽  
John Harrington JR ◽  
Yulia Melnyk ◽  
Yuliya Vystavna ◽  
...  
Keyword(s):  
Water Resources ◽  
Surface Waters ◽  
Precipitation Amount ◽  
Ion Concentration ◽  
Annual Precipitation ◽  
Resource Quality ◽  
Phosphate Ion ◽  
Regional Trends

The article focuses on examining the influence of fluctuations in annual precipitation amount on the quality of surface waters. Water quality was estimated with data on BOD, COD and phosphate–ion concentration within five selected regions of Ukraine. Analysis of the precipitation data (1991 – 2010) showed different regional trends. Using the statistics, determination of the interconnection between precipitation amount and water resources quality were done. The obtained regularities and associated uncertainties can be used for prediction of changes in water resource quality and as a guide for future adaptation to possible climate change.

Data science in economics: comprehensive review of advanced machine learning and deep learning methods

2020 ◽  
Author(s):  
Saeed Nosratabadi ◽  
Amir Mosavi ◽  
Puhong Duan ◽  
Pedram Ghamisi ◽  
Ferdinand Filip ◽  
...  
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Data Science ◽  
State Of The Art ◽  
Science Methods ◽  
Learning Models ◽  
Diverse Range ◽  
Hybrid Machine ◽  
Economics Research

This paper provides a state-of-the-art investigation of advances in data science in emerging economic applications. The analysis was performed on novel data science methods in four individual classes of deep learning models, hybrid deep learning models, hybrid machine learning, and ensemble models. Application domains include a wide and diverse range of economics research from the stock market, marketing, and e-commerce to corporate banking and cryptocurrency. Prisma method, a systematic literature review methodology, was used to ensure the quality of the survey. The findings reveal that the trends follow the advancement of hybrid models, which, based on the accuracy metric, outperform other learning algorithms. It is further expected that the trends will converge toward the advancements of sophisticated hybrid deep learning models.

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