Electronic nose for water monitoring: The relationship between wastewater quality indicators and odor

2015 ◽  
Author(s):  
Rotthaporn Palasuek ◽  
Thara Seesa-ard ◽  
Chayanin Kunarak ◽  
Teerakiat Kerdcharoen
Keyword(s):  
Quality Indicators ◽  
Electronic Nose ◽  
Water Monitoring ◽  
Wastewater Quality ◽  
The Relationship

Using the alveograph in developing requirements for the quality of flour for wafer sheet production

2020 ◽  
Vol 29 (12) ◽  
pp. 52-58
Author(s):  
E.P. Meleshkina ◽  
◽  
S.N. Kolomiets ◽  
A.S. Cheskidova ◽  
◽  
...  
Keyword(s):  
Rheological Properties ◽  
Quality Indicators ◽  
Wheat Flour ◽  
Mathematical Statistics ◽  
Intended Purpose ◽  
The Future ◽  
Relationship Of ◽  
The Relationship

Objectively and reliably determined indicators of rheological properties of the dough were identified using the alveograph device to create a system of classifications of wheat and flour from it for the intended purpose in the future. The analysis of the relationship of standardized quality indicators, as well as newly developed indicators for identifying them, differentiating the quality of wheat flour for the intended purpose, i.e. for finished products. To do this, we use mathematical statistics methods.

scholarly journals A Preliminary Study on the Use of Xylit as Filter Material for Domestic Wastewater Treatment

2021 ◽  
Vol 11 (11) ◽  
pp. 5281
Author(s):  
Marcin Spychała ◽  
Tadeusz Nawrot ◽  
Radosław Matz
Keyword(s):  
Quality Indicators ◽  
Initial Period ◽  
Oxygen Demand ◽  
Domestic Wastewater ◽  
Filter Material ◽  
Stage I ◽  
Stage Ii ◽  
Septic Tank ◽  
Preliminary Stage ◽  
Wastewater Quality

The aim of the study was to verify two morphological forms (“angel hair” and “scraps”) of xylit as a trickling filter material. The study was carried out on two types of polluted media: septic tank effluent (STE) and seminatural greywater (GW). The basic wastewater quality indicators, namely, chemical oxygen demand (COD), biochemical oxygen demand (BOD5), total suspended solids (TSS), ammonium nitrogen (NNH4), and total phosphorus (Ptot) were used as the indicators of treatment efficiency. Filtering columns filled with the investigated material acted as conventional trickling filters at a hydraulic load of 376–472 cm3/d during the preliminary stage, 198–245 cm3/d during stage I, and 184–223 cm3/d during stage II. The removal efficiency of the two morphological forms of xylit did not differ significantly. The average efficiencies of treatment were as follows: for COD, over 70, 80, and 85% for preliminary stage, stage I and stage II, respectively; for BOD5, 77–79% (preliminary stage); for TSS, 42% and 70% during the preliminary stage, and 88, 91, and 65% during stage I; for NNH4, 97–99% for stage I and 36–49% for stage II; for Ptot, 51–54% for stage I and 52–56% for stage II. The study demonstrated that xylit was a material highly effective in wastewater quality indicators removal, even during the initial period of its use.

scholarly journals 1106 SUBJECTIVE AND OBJECTIVE SLEEP QUALITY INDICATORS AND THE RELATIONSHIP TO POSTPARTUM DEPRESSION

SLEEP ◽  
2017 ◽  
Vol 40 (suppl_1) ◽  
pp. A412-A412
Author(s):  
J McMurray ◽  
K Lee ◽  
J Weston ◽  
R Stremler
Keyword(s):  
Postpartum Depression ◽  
Sleep Quality ◽  
Quality Indicators ◽  
The Relationship

scholarly journals Study of the swelling pressure of coals and coal charges in the coking process

2021 ◽  
Vol 303 ◽  
pp. 01053
Author(s):  
Tatiana Cherkasova ◽  
Nikita Krasulin ◽  
Aleksandr Nevedrov ◽  
Andrey Papin ◽  
Sergey Subbotin
Keyword(s):  
Quality Indicators ◽  
Swelling Pressure ◽  
Coke Production ◽  
Coke Furnace ◽  
Coal Quality ◽  
Plastic Properties ◽  
Plant Laboratory ◽  
Factors Affecting ◽  
Central Plant Laboratory ◽  
The Relationship

The maintenance of furnaces is one of the most important problems for by-product coke production. Swelling pressure is one of the least studied factors affecting the lining of coke furnace walls. The results of studies of the swelling pressure of PJSC “Koks” feedstock coal are presented in this paper. Research has been carried out to identify the dependence of the swelling pressure on the coal quality indicators, estimated during the incoming control of the central plant laboratory of PJSC “Koks”. The plastic properties of PJSC “Koks” feedstock coals were studied using Gieseler plastometer. The relationship between the swelling pressure and the maximum coal fluidity is revealed.

scholarly journals Machine Learning Algorithms for the Forecasting of Wastewater Quality Indicators

Water ◽  
2017 ◽  
Vol 9 (2) ◽  
pp. 105 ◽  
Author(s):  
Francesco Granata ◽  
Stefano Papirio ◽  
Giovanni Esposito ◽  
Rudy Gargano ◽  
Giovanni De Marinis
Keyword(s):  
Machine Learning ◽  
Support Vector Regression ◽  
Quality Indicators ◽  
Drainage Basin ◽  
Learning Algorithms ◽  
Oxygen Demand ◽  
Machine Learning Algorithms ◽  
Coefficient Of Determination ◽  
Support Vector ◽  
Wastewater Quality

Stormwater runoff is often contaminated by human activities. Stormwater discharge into water bodies significantly contributes to environmental pollution. The choice of suitable treatment technologies is dependent on the pollutant concentrations. Wastewater quality indicators such as biochemical oxygen demand (BOD5), chemical oxygen demand (COD), total suspended solids (TSS), and total dissolved solids (TDS) give a measure of the main pollutants. The aim of this study is to provide an indirect methodology for the estimation of the main wastewater quality indicators, based on some characteristics of the drainage basin. The catchment is seen as a black box: the physical processes of accumulation, washing, and transport of pollutants are not mathematically described. Two models deriving from studies on artificial intelligence have been used in this research: Support Vector Regression (SVR) and Regression Trees (RT). Both the models showed robustness, reliability, and high generalization capability. However, with reference to coefficient of determination R2 and root‐mean square error, Support Vector Regression showed a better performance than Regression Tree in predicting TSS, TDS, and COD. As regards BOD5, the two models showed a comparable performance. Therefore, the considered machine learning algorithms may be useful for providing an estimation of the values to be considered for the sizing of the treatment units in absence of direct measures.

Room for improvement: the impact of bad losses on board quality

2014 ◽  
Vol 15 (3) ◽  
pp. 255-272 ◽  
Author(s):  
Mark B. Mulcahy
Keyword(s):  
Corporate Governance ◽  
Quality Indicators ◽  
Stock Exchange ◽  
Control Sample ◽  
Firm Level ◽  
Content Type ◽  
Research Stream ◽  
The Uk ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to study the relationship between reporting a loss and changes in board quality. Low quality corporate governance is associated with adverse accounting outcomes and is characterised by the lack of non-executive and independent directors on the board. Changes in these board quality indicators in response to the reporting of a loss and conditioned by the severity of the loss are examined. Design/methodology/approach – This study uses four years of board information spanning the report of an initial loss for companies listed on the UK stock exchange. An industry and size matched control sample is used in a difference-in-difference analysis to isolate the impact of the loss from underlying changes in board quality. Findings – Overall the results indicate that more severe initial loss events precipitate improvements in board quality over and above the control sample as well as less severe loss events. Research limitations/implications – Although unambiguous, the reporting of a loss is only one measure of underperformance. Also the board quality indicators used in this study are two from several individual corporate governance variables and amalgamations used in the extent literature. Practical implications – The findings demonstrate that the relationship between corporate governance and performance is endogenous and that the majority of any improvement in board quality actually anticipates the reporting of the loss. Any celebration of improvements in governance need to be tempered by an understanding of the precariousness of the firms at which these improvements are made. Originality/value – This study contributes to a research stream that examines negative shocks, and losses in particular, as an event likely to precipitate firm-level changes in board quality, i.e. firms tend not to make improvements to board quality without the impetus to do so.

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