Assessment of Water Quality State Dynamics Using Adaptive Filtering Methods and Neural Networks Approaching. Case study - Danube River in Galati area

Murariu, Gabriel; Iticescu, Cătălina; Murariu, Adrian; Roşu, Bogdan; Munteanu, Dan; Buruiană, Daniela Laura

doi:10.37358/rc.19.6.7246

Cited by 9 publications

(5 citation statements)

References 11 publications

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“…Levene's Test for Equality of Variances, Independent Samples Test t and size effect expressed by Cohen's d values were used. The confidence interval was set at 95% [31,32].…”

Section: Discussionmentioning

confidence: 99%

Body composition analysis for non-athlete urban schoolgirls in the pubertal stage

Mocanu

Postelnicu

Adam

et al. 2023

ppcs

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Background and Study Purpose. Body composition analysis by bioimpedance is a modern investigation method that provides additional and relevant information, compared to the classical assessment, based only on BMI levels. The purpose of the research is to compare body composition parameters for secondary school girls, according to the stages of puberty and to identify the differences that appear between these stages. Material and Methods. The investigated group was made up of 115 non-athlete girls from the urban environment, divided into two distinct age categories: 10-12 years/55 cases (Under 12 with age=10.97±0.40, BMI=19.53±3.71, percentiles BMI=65.52± 25.78) and 12-13 years/end of puberty/60 cases (Over 12 with age=12.30±0.30 BMI=20.72±3.62, BMI percentiles=66.13±28.23). The assessment carried out with Inbody 720/Biospace (Korea). Results. Reporting to the percentile ranges indicates the absence of Underweight cases for the Over 12 group and only 7.27% of the Under 12 group falls within these values. In both groups, the Normal Weight class dominates (67.27% for Under 12 and 63.34% for Over 12), and the percentages of Overweight and Obese cases are higher for Over 12 (23.33% and 13.33%, respectively). The distribution according to body composition indicates the slim type for about a quarter of the students of both groups, but also the placement of a large number of subjects in the Chubby/normal type category (29.10% for Under 12 and 20% for Over 12). According to the percentage of mass fat, the Over 12 group has a double percentage of Obesity for high level, compared to Under 12 group (23.33% vs. 10.90%). The Over 12 group has statistically higher values (P<0.05) for body fat mass (BFM), Skeletal lean mass (SLM), fat free mass (FFM), total body water (TBW), Skeletal Muscle Mass (SMM) and has a much higher number of cases reporting abdominal obesity/ waist-to-hip ratio (WHR) (33.34% vs. 14.55%). Conclusions. The analysis of body composition by bioimpedance allowed the precise identification of the ratio between the main components of the body, clearly highlighting the cases with problems related to the very high percentage of fat mass. In this sense, for many girls who fell according to the BMI percentiles in the Normal Weight category, the low percentage of muscle tissue and the excessive amounts of fat generated the reclassification in the Chubby/normal type or Obese/excessive fat type categories. The results confirm the increase in percentages of overweight and obese children for the last stage of puberty.

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“…Levene's Test for Equality of Variances, Independent Samples Test t and size effect expressed by Cohen's d values were used. The confidence interval was set at 95% [31,32].…”

Section: Discussionmentioning

confidence: 99%

Body composition analysis for non-athlete urban schoolgirls in the pubertal stage

Mocanu

Postelnicu

Adam

et al. 2023

ppcs

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“…The specifics and application of many of them can be found in the work of Uddin et al (2021). WQI methods usually address the physical, chemical and biological parameters of water (Boyacioglu, 2009;Yisa & Jimoh, 2010;Rocha et al, 2014;Bhateria & Jain, 2016;Murariu et al, 2019;Drasovean & Murariu, 2021). In the Balkans and South-Eastern Europe, the regions to which Montenegro belongs, the WQI model has proven to be very useful in water resources management, for example in Romania (Mititelu-Ionuș, 2010;Georgescu et al, 2023), Serbia (Jakovljević, 2012;Josimov-Dunđerski et al, 2016;Mladenović-Ranisavljević & Žerajić, 2017;Milijasević-Joksimović et al, 2018;Babić et al, 2019) and Bulgaria (Gartsiyanova et al, 2020).…”

Section: The Publication Of the European Journal Of Geography (Ejg) I...mentioning

confidence: 99%

Assessment of the environmental quality of Lake Skadar and its ur-ban surroundings in Montenegro

Burić

Mijanović

Doderović

et al. 2023

EJG

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Lake Skadar on the Balkan Peninsula faces many ecological challenges. The lake is located in the border area between Mon-tenegro and Albania and its ecosystem interacts with important and highly populated urban centres such as Podgorica and Bar. Despite the crucial role the lake plays in the sustainability of the ecosystem and the health of the population, there is a lack of environmental quality assessment and data-based analysis. Therefore, the aim of this study is to assess both the wa-ter quality of Lake Skadar and the air pollution in Podgorica and Bar in the period from 2011 to 2018. To assess water qual-ity, the Water Quality Index (WQI) model, i.e. the SWQI method, was used, which was calculated based on 10 parameters of physicochemical and microbiological characteristics of water from 9 hydrological stations (oxygen saturation, biochemical oxygen consumption for 5 days, ammonium ions, pH, total nitrogen oxides, orthophosphates, suspended solids, tempera-ture, electrical conductivity and coliform bacteria). In addition, air quality in the two cities was assessed using timeseries of PM10 concentrations. The results showed that the water quality of Lake Skadar was of good to high quality (WQI 79-95), while the air quality in Podgorica and Bar was a serious public health problem, especially in the cold seasons in Podgorica (i.e. the average seasonal and daily PM10 concentrations were often > 40 and > 50 µg/m3). These results are of great practi-cal importance for environmental management and support decision makers in applying certain environmental protection measures and strategies.

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“…Although many parameters of water are important for human health or the health of an ecosystem, the analysis of all parameters is not feasible. The standards recommend the analysis of specific parameters for both drinking water and nondrinking water [6,7].…”

Section: Water Qualitymentioning

confidence: 99%

Water Quality Parameters and Monitoring Soft Surface Water Quality Using Statistical Approaches

Drasovean¹,

Murariu²

2021

Promising Techniques for Wastewater Treatment and Water Quality Assessment

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Water is the matrix of life and is indispensable on Earth. Water has a multitude of applications and all known life forms depend on it. Therefore, water quality is important for all of us. Water quality can be represented by a set of physical, chemical, biological and bacteriological characteristics. These parameters allow water to be classified in multiple categories leading to its use for a specific purpose. This chapter establishes the connections between external causes and their effect on water quality parameters. In order to provide information on water quality, different Water Quality Index (WQI) models can be used. In order to study the association between water quality parameters, several correlation coefficients have been developed. For a coherent statistical approach, we have used Pearson and Spearman correlations. In order to exemplify the manner in which WQI can be calculated and interpreted, we used a series of data from our previous work, consisting of 13 parameters measured for water samples taken from the Danube River, from Galati City area, Romania.

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Assessment of Water Quality State Dynamics Using Adaptive Filtering Methods and Neural Networks Approaching. Case study - Danube River in Galati area

Cited by 9 publications

References 11 publications

Body composition analysis for non-athlete urban schoolgirls in the pubertal stage

Body composition analysis for non-athlete urban schoolgirls in the pubertal stage

Assessment of the environmental quality of Lake Skadar and its ur-ban surroundings in Montenegro

Water Quality Parameters and Monitoring Soft Surface Water Quality Using Statistical Approaches

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