scholarly journals Principal Component Weighted Index for Wastewater Quality Monitoring

Water ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2376 ◽  
Author(s):  
Petr Praus
Keyword(s):  
Principal Component ◽  
Treated Wastewater ◽  
Weighted Index ◽  
Physico Chemical ◽  
Wastewater Quality ◽  
Total Variability ◽  
Wastewater Samples ◽  
Quality Indexes ◽  
Component Scores

The quality of raw and treated wastewater was evaluated using the principal component weighted index (PCWI) which was defined as a sum of principal component scores weighted according to their eigenvalues. For this purpose, five principal components (PCs) explaining 88% and 83% of the total variability of raw and treated wastewater samples, respectively, were extracted from 11 original physico-chemical parameters by robust principal component analysis (PCA). The PCWIs of raw and treated wastewater were analyzed in terms of their statistical distributions, temporal changes, mutual correlations, correlations with original parameters, and common water quality indexes (WQI). The PCWI allowed us to monitor temporal wastewater quality by one parameter instead of several. Unlike other weighted indexes, the PCWI is composed of independent variables with minimal information noise and objectively determined weights.

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.

scholarly journals Quality Evaluation of the Clinical Trials for Natural Products Used in Cancer: An Evidence-Based Literature Review

2020 ◽  
Vol 10 (22) ◽  
pp. 7961
Author(s):  
Rizwan Ahmad ◽  
Lina Hussain AlLehaibi ◽  
Abdulrahman K. Alshammari ◽  
Saif M. Alkhaldi
Keyword(s):  
Clinical Trials ◽  
Natural Products ◽  
Critical Evaluation ◽  
Principal Component ◽  
Drop Out ◽  
Cancer Clinical Trials ◽  
Correlation Pattern ◽  
Herbal Products ◽  
Total Variability

The amount of data regarding the use of herbs/herbal products in cancer clinical trials at times creates a great challenge for oncologists to prescribe or counsel patients. It urges critical evaluation of the quality of clinical trials. Herein, for the first time, the clinical trials for herbs used in cancer were critically evaluated on the basis of three widely used scales, i.e., Jadad, Delphi, and Cochrane scales. The literature was collected with the help of online databases, journals, libraries, and books using a number of specific keywords as mentioned in detail in forthcoming sections. A total of 73 clinical trials were extracted, evaluated, and scored for 14 herbs, according to the predefined criteria mentioned below. A major deficiency of “non-blinding of clinical trials” was observed. The principal component analysis revealed four components (PC1–PC4) with a total variability of 68.21%, wherein the highest percentage variability was observed for PC1 loaded with “non-blinding of the clinical trials, no concealment of the treatment allocation, non-blindness of the patient and care provider”, which accounted for 30.81% of the total variability. The next major variability of 14.70% was observed for PC2 loaded with “non-randomization of the studies, non-blinding of the outcome assessors, no proper drop-out procedures, and lack of information regarding baseline characteristics for the groups”. Pearson’s correlation further confirmed a similar correlation pattern for the mentioned deficiencies (p = 0.05). An in-house grading scale was developed, showing a very small portion (16.44%), i.e., 12/73 studies with a good quality, whereas the majority (57.54%) of the studies, i.e., 42/73, were found to be of poor quality. The rules and regulations governing the quality of clinical trials needs to be more stringent and updated for the natural products/herbs used in cancer clinical trials.

scholarly journals Information Entropy for Evaluation of Wastewater Composition

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1095 ◽  
Author(s):  
Petr Praus
Keyword(s):  
Information Entropy ◽  
Oxygen Demand ◽  
Ammonium Phosphate ◽  
Principal Component ◽  
Weighted Index ◽  
Physico Chemical ◽  
Shannon Information Entropy ◽  
Simple Additive Weighting ◽  
Entropy Weighted ◽  
One Year

The composition of wastewaters collected during one year was evaluated based on the Shannon information entropy. Eleven physico-chemical parameters, biochemical oxygen demand (BOD), chemical oxygen demand (COD), total phosphorus (TP), total nitrogen (TN), total suspended solids (TSS), total dissolved salts (TDS), pH, ammonium, phosphate, cyanide and phenol, were determined for their characterization. Entropy of the parameters calculated by means of their histograms decreased in the order: phosphate > ammonium > TDS > TN > pH > BOD > COD > TSS > TP > phenol > cyanide. Entropy weights of the parameters were calculated for the evaluation of wastewater composition by means of the entropy weighted index (EWI) defined according to the simple additive weighting (SAW) model. The EWI values were statistically processed by us to observe temporal wastewater composition changes and were verified by means of the principal component weighted index (PCWI). The EWI values were statistically analyzed by univariate statistics. The outlaying samples were also confirmed by multivariate analysis. The entropy-based approach allowed us to simply evaluate wastewater composition by means of one index instead of several parameters. The main advantage of EWI is the simple histogram-based calculation of entropy with no need of the normal distribution of the used parameters.

scholarly journals IDENTIFICATION OF THE MAIN PHYSICO-CHEMICAL PROPERTIES INFLUENCING THE QUALITY OF THYME (SATUREJA HORTENSIS)

2017 ◽  
Vol 20 (2) ◽  
Author(s):  
SIMONA GHINITA CONSTANTIN ◽  
MIRELA PRAISLER ◽  
GABRIELA IORDĂCHESCU
Keyword(s):  
Monosodium Glutamate ◽  
Chemical Properties ◽  
Principal Component ◽  
Matter Content ◽  
Dry Matter Content ◽  
Satureja Hortensis ◽  
Umami Taste ◽  
Physico Chemical

<p>Thyme (<em>Satureja hortensis</em>) is a popular spice for food, which is also often used as a medicine for various ailments. This paper presents an artificial intelligence method applied for the objective determination of the most important physico-chemical variables affecting the quality of thyme, i.e. Principal Component Analysis (PCA). The results show that the main properties which significantly influence the nutritional value of thyme are moisture (MOIST), dry matter content (DRYM), protein content (PROT) and, to a lesser extent, carbohydrate content (CARB). Humidity is strongly and negatively correlated with the latter three variables. The main variable that ensures the similarity between the thyme samples having the same geographical origin is the monosodium glutamate content, which generates its delicious (umami) taste.</p>

scholarly journals Physico-chemical and sensory evaluation of virgin olive oils from several Algerian olive-growing regions

OCL ◽  
2021 ◽  
Vol 28 ◽  
pp. 55
Author(s):  
Malika Douzane ◽  
Mohamed-Seghir Daas ◽  
Amel Meribai ◽  
Ahmed-Hani Guezil ◽  
Abdelkrim Abdi ◽  
...  
Keyword(s):  
Olive Oil ◽  
Virgin Olive Oil ◽  
Principal Component ◽  
Great Variability ◽  
Olive Cultivar ◽  
Virgin Olive Oils ◽  
Olive Oils ◽  
Physical Chemical ◽  
Physico Chemical

Olive cultivar diversity is rich in Algeria but most remain unexplored in terms of quality traits. This work aimed to evaluate the physicochemical and organoleptic quality of twenty olive oil samples belonging to four Algerian cultivars (Chemlal, Sigoise, Ronde de Miliana and Rougette de Mitidja) collected throughout the national territory. Physical-chemical and sensory results showed that 60% of the oils belong to the extra virgin category, while 40% were classified as “virgin olive oil”. The results of the principal component analysis (PCA) revealed a great variability in fatty acids composition between the samples depending on the cultivar and origin. Oleic acid was the most abundant and varied between 64.84 and 80.14%. Extra virgin olive oils with quality attributes are eligible for a label. Rougette de Mitidja, Ronde de Miliana and Sigoise from Oran showed great potential.

scholarly journals Assessment of Water Quality of Khari River in Agra District During Lockdown Period using Multivariant Techniques and Quality Indexes

2021 ◽  
Vol 34 (1) ◽  
pp. 67-77
Author(s):  
R.K. Saraswat ◽  
S. Verghesep ◽  
T. Pachauri
Keyword(s):  
Water Quality ◽  
Positive Impact ◽  
Anthropogenic Activities ◽  
Saturation Index ◽  
Principal Component ◽  
Comparative Assessment ◽  
Langelier Saturation Index ◽  
Industrial Use ◽  
Quality Indexes

Throughout the world, the lock-down period during COVID-19 (March 2020- July 2021) has reported an improvement in the ecological scenario with controlled anthropogenic activities. This study presents a comparative assessment of water quality of the highly polluted Khari river in Agra district (India) during the pre-pandemic and post-pandemic period of COVID-19. The result was analyzed in terms of water quality index (WQI), the most accessed tool used by various researchers to report the water quality. In addition, Aggressive index (AI) and Langelier saturation index (LSI) have also been determined. Further, multivariate analysis has been performed in terms of principal component analysis (PCA). ANOVA has been used to study the variance of the parameters. The study revealed a positive impact of pandemic on the water quality as the parameters improved during the post-pandemic period as compared to the pre-pandemic period. However, as the river was highly polluted during the pre-pandemic period, strict actions are required for further improvement in its water quality for agricultural, industrial and industrial use.

scholarly journals Hydrochemical Characterisation of Groundwater Quality: Merdja Plain (Tebessa Town, Algeria)

2020 ◽  
Vol 6 (2) ◽  
pp. 318-325 ◽  
Author(s):  
Baazi Houria ◽  
Kalla Mahdi ◽  
Tebbi Fatima Zohra
Keyword(s):  
Groundwater Quality ◽  
Principal Component ◽  
Anthropogenic Factors ◽  
Agricultural Activity ◽  
Chemical Parameters ◽  
Physico Chemical ◽  
High Concentrations ◽  
Geological Formations

The objective of this work is to evaluate the physico-chemical quality of the groundwater of the Merdja plain and to determine the sources of mineralization. This quality is influenced by several environmental and anthropogenic factors such as geological context, climate, precipitation and interaction between groundwater and aquifers and human activities.  A Principal Component Analysis (PCA) on samples taken from several wells spread over the entire Tebessa plain (Merdja) allowed us to detect two axes that explain 73.4% of the information. The first axis describes the variables related to mineralisation and the second one describes those related to agricultural activity. Multidimensional Positioning (MDS) confirmed the interaction of physico-chemical parameters between them and their influence on groundwater quality by highlighting three groups of wells according to their physico-chemical characteristics, particularly those containing high concentrations of nitrates. This contamination is mainly the result of spreading the fertilisers and wastes that are dumped into the plain without treatment. Salinization is the result of long-term interactions between groundwater and geological formations.

Simulation Study on Wastewater Quality of Dongfeng Ditch with Artificial Constructed Rapid Infiltration System

2011 ◽  
Vol 474-476 ◽  
pp. 1993-1998
Author(s):  
Peng Shuai Qiao ◽  
Lei Li
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Simulation Method ◽  
Ammonia Nitrogen ◽  
Influential Factors ◽  
Soil Columns ◽  
Wastewater Quality ◽  
Soil Components ◽  
Quality Indexes

This paper adopts the indoor artificial rapid infiltration system of simulated soil columns to deal with several water-quality indexes of wastewater from Dongfeng Ditch. The test indicates the change of several indexes, such as COD, ammonia nitrogen, total phosphorus, Cr6+ after the treatment, analyzes the influential factors and display the wastewater treatment effects of the simulation method in laboratory with different soil components and different wet- dry ratios.

Bacteriological quality of the wastewater used for irrigation at the vegetable farms in Korle-bu Teaching Hospital, Accra Metropolis, Ghana

2016 ◽  
Vol 47 (1) ◽  
pp. 15-19
Author(s):  
George A Pesewu ◽  
Daniel Bentum ◽  
Michael A Olu-Taiwo ◽  
Kathreen K Glover ◽  
Dzidzo R Yirenya-Tawiah
Keyword(s):  
Teaching Hospital ◽  
Urban Areas ◽  
Salmonella Typhi ◽  
World Health ◽  
Treated Wastewater ◽  
Plate Count ◽  
Bacterial Colony ◽  
Wastewater Samples ◽  
Health Organization

Many developing countries, including Ghana, are water stressed. As such, farmers, particularly those in urban areas, have adopted the use of wastewater for irrigation. This study evaluated the bacteriological water quality of the wastewater used for irrigation in the vegetable farms at Korle-Bu Teaching Hospital (KBTH), Accra Metropolis, Ghana. In all, 40 wastewater samples were collected and analysed bacteriologically using the total aerobic plate count method. The isolated bacteria were identified biochemically using Bergey’s manual for determinative bacteriology. Mean total bacterial colony count values in the range of 2.75–4.44 × 105 CFU/100 mL were isolated which far exceeds values of 1 × 103/100 mL recommended by the World Health Organization (WHO) for unrestricted irrigation of crops likely to be eaten raw. Enterobacter cloacae (51.4%), Klebsiella sp. (24.1%), Pseudomonas aeruginosa (11.3%), Salmonella typhi (10.6%), Escherichia coli (2.2%) and Proteus sp. (0.4%) were the predominant bacteria isolated. Growers should use treated wastewater for farming while processors and consumers should minimize contamination risks of produce from the vegetable farms/garden to the plate.

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