An assessment of the accuracy and precision of water quality parameters retrieved with the Matrix Inversion Method

In a previous paper (1) it was proposed that a simple matrix inversion method could be used to extract source distributions from gamma-count maps, using simple models to calculate the response matrix. The method was tested using numerically generated count maps. In the present work a 100 kBq Co60 source has been placed on a gridded surface and the count rate measured using a NaI scintillation detector. The resulting map of gamma counts was used as input to the matrix inversion procedure and the source position recovered. A multisource array was simulated by superposition of several single-source count maps and the source distribution was again recovered using matrix inversion. The measurements were performed for several detector heights. The effects of uncertainties in source-detector distances on the matrix-inversion method are also examined. The results from this work give confidence in the application of the method to practical applications, such as the segregation of highly active objects amongst fuel-element debris.

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

10.5772/intechopen.97372 ◽

2021 ◽

Author(s):

Romana Drasovean ◽

Gabriel Murariu

Keyword(s):

Water Quality ◽

Correlation Coefficients ◽

Surface Water Quality ◽

Life Forms ◽

Quality Parameters ◽

Water Quality Parameters ◽

Danube River ◽

Soft Surface ◽

The Matrix ◽

External Causes

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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Study of a Computational-Time-Saving Scheme for Quantitative Leed Analysis by the Matrix Inversion Method

Surface Review and Letters ◽

10.1142/s0218625x03005177 ◽

2003 ◽

Vol 10 (02n03) ◽

pp. 493-497 ◽

Cited By ~ 2

Author(s):

Y. Y. Sun ◽

A. T. S. Wee ◽

A. C. H. Huan

Keyword(s):

Matrix Inversion ◽

Critical Parameters ◽

Computational Time ◽

Inversion Method ◽

Slab Thickness ◽

Time Saving ◽

Structure Search ◽

The Matrix ◽

Matrix Inversion Method ◽

Energy Dependent

A computational-time-saving scheme for quantitative LEED analysis by the matrix inversion method was studied. Two computational-time-critical parameters, the number of atomic layers (Nl) in the surface slab and the number of ion-core scattering phase shifts (l max ), were tested for energy dependence. Our study on a Cu(210) surface shows that no dependence of Nl on the incident energy exists in the energy range of LEED (50–400 eV), i.e. using energy-dependent Nl is not feasible. The effect of slab thickness reduction on the precision of the Pendry R-factor based best-fit structure search was then studied. This study provides a guide to the selection of surface slab thickness in quantitative LEED analysis by the matrix inversion method. Also, we show that using an energy-dependent l max can save nearly half of the overall computational time for obtaining a set of I–V curves by the matrix inversion method.

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Assessment of the Ecological Status of OPA Reservoir, ILE IFE, Nigeria Based on a Comparative Study of its Planktonic Community and Water Quality Parameters

Open Academic Journal of Advanced Science and Technology ◽

10.33094/5.2017.2020.41.1.14 ◽

2020 ◽

Vol 4 (1) ◽

pp. 1-14

Author(s):

Adebukola A Adedeji ◽

Taiwo A Adesakin ◽

Oluseun P Bolawa

Keyword(s):

Water Quality ◽

Comparative Study ◽

Ecological Status ◽

Quality Parameters ◽

Water Quality Parameters ◽

Planktonic Community

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Investigation of Some Water Quality Parameters of Pond Water under Mymensingh Municipality

Journal of Environmental Science and Natural Resources ◽

10.3329/jesnr.v8i1.24677 ◽

2015 ◽

Vol 8 (1) ◽

pp. 85-89

Author(s):

F Zannat ◽

MA Ali ◽

MA Sattar

Keyword(s):

Water Quality ◽

Water Samples ◽

Chemical Properties ◽

Pond Water ◽

Quality Parameters ◽

Water Quality Parameters ◽

Urban Region ◽

Mn Toxicity ◽

Ph Values ◽

Drinking Water Standard

A study was conducted to evaluate the water quality parameters of pond water at Mymensingh Urban region. The water samples were collected from 30 ponds located at Mymensingh Urban Region during August to October 2010. The chemical analyses of water samples included pH, EC, Na, K, Ca, S, Mn and As were done by standard methods. The chemical properties in pond water were found pH 6.68 to 7.14, EC 227 to 700 ?Scm-1, Na 15.57 to 36.00 ppm, K 3.83 to 16.16 ppm, Ca 2.01 to 7.29 ppm, S 1.61 to 4.67 ppm, Mn 0.33 to 0.684 ppm and As 0.0011 to 0.0059 ppm. The pH values of water samples revealed that water samples were acidic to slightly alkaline in nature. The EC value revealed that water samples were medium salinity except one sample and also good for irrigation. According to drinking water standard Mn toxicity was detected in pond water. Considering Na, Ca and S ions pond water was safe for irrigation and aquaculture. In case of K ion, all the samples were suitable for irrigation but unsuitable for aquaculture.J. Environ. Sci. & Natural Resources, 8(1): 85-89 2015

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Assessement of Water Quality Parameters in Some Potential Pollutant Areas from Romania

Revista de Chimie ◽

10.37358/rc.18.8.6470 ◽

2018 ◽

Vol 69 (8) ◽

pp. 2045-2049

Author(s):

Catalina Gabriela Gheorghe ◽

Andreea Bondarev ◽

Ion Onutu

Keyword(s):

Water Quality ◽

Surface Water ◽

Surface Water Quality ◽

Quality Parameters ◽

Water Quality Parameters ◽

Quality Data ◽

Chemical Parameters ◽

Water Quality Data ◽

Pollutant Sources ◽

Water Quality Forecasting

Monitoring of environmental factors allows the achievement of some important objectives regarding water quality, forecasting, warning and intervention. The aim of this paper is to investigate water quality parameters in some potential pollutant sources from northern, southern and east-southern areas of Romania. Surface water quality data for some selected chemical parameters were collected and analyzed at different points from March to May 2017.

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Influence of Discharges from Storage Reservoirs on the Tastes and Odours Appearing in the Seine and Marne Rivers

Water Science & Technology ◽

10.2166/wst.1982.0086 ◽

1982 ◽

Vol 14 (4-5) ◽

pp. 43-58 ◽

Cited By ~ 1

Author(s):

M Rizet ◽

J Mouchet

Keyword(s):

Water Quality ◽

Quality Parameters ◽

Water Quality Parameters ◽

Severe Drought ◽

Storage Reservoirs ◽

Metabolite Concentrations

This study was conducted in order to understand the taste and odour problems that occurred in the Seine and the Marne rivers during the severe drought of 1976. Samples were taken every 15 days from several locations in the rivers themselves and from storage reservoirs upstream from Paris. Algae and actinomycetes were identified and counted. Metabolite concentrations were measured. These data were correlated with threshold odor numbers and bacteriological water quality parameters.

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