Impact of Statistical Variation on ESD Simulation

2021 ◽  
Author(s):  
Steven S. Poon ◽  
Benjamin J. Orr ◽  
Chinmay P. Joshi
Keyword(s):  
Statistical Variation

Far field modeling of the Mamala Bay outfalls

1998 ◽  
Vol 38 (10) ◽  
pp. 323-330
Author(s):  
Philip J. W. Roberts
Keyword(s):  
Field Model ◽  
Near Field ◽  
Far Field ◽  
Field Modeling ◽  
Visitation Frequency ◽  
Statistical Variation ◽  
Long Time ◽  
Harmonic Average ◽  
Ocean Outfall ◽  
Acoustic Doppler Current Profilers

The results of far field modeling of the wastefield formed by the Sand Island, Honolulu, ocean outfall are presented. A far field model, FRFIELD, was coupled to a near field model, NRFIELD. The input data for the models were long time series of oceanographic observations over the whole water column including currents measured by Acoustic Doppler Current Profilers and density stratification measured by thermistor strings. Thousands of simulations were made to predict the statistical variation of wastefield properties around the diffuser. It was shown that the visitation frequency of the wastefield decreases rapidly with distance from the diffuser. The spatial variation of minimum and harmonic average dilutions was also predicted. Average dilution increases rapidly with distance. It is concluded that any impact of the discharge will be confined to a relatively small area around the diffuser and beach impacts are not likely to be significant.

scholarly journals Stochastic phonological knowledge: the case of Hungarian vowel harmony

Phonology ◽  
2006 ◽  
Vol 23 (1) ◽  
pp. 59-104 ◽  
Author(s):  
Bruce Hayes ◽  
Zsuzsa Cziráky Londe
Keyword(s):  
Web Search ◽  
Native Speakers ◽  
Vowel Harmony ◽  
Generation Model ◽  
General Process ◽  
Phonological Knowledge ◽  
Statistical Variation ◽  
Take Back ◽  
Back Vowel ◽  
Dual Listing

In Hungarian, stems ending in a back vowel plus one or more neutral vowels show unusual behaviour: for such stems, the otherwise general process of vowel harmony is lexically idiosyncratic. Particular stems can take front suffixes, take back suffixes or vacillate. Yet at a statistical level, the patterning among these stems is lawful: in the aggregate, they obey principles that relate the propensity to take back or front harmony to the height of the rightmost vowel and to the number of neutral vowels. We argue that this patterned statistical variation in the Hungarian lexicon is internalised by native speakers. Our evidence is that they replicate the pattern when they are asked to apply harmony to novel stems in a ‘wug’ test (Berko 1958). Our test results match quantitative data about the Hungarian lexicon, gathered with an automated Web search. We model the speakers' knowledge and intuitions with a grammar based on the dual listing/generation model of Zuraw (2000), then show how the constraint rankings of this grammar can be learned by algorithm.

scholarly journals COMPARATIVE ASSESSMENT OF THE BIOCHEMISTRY OF APPLE FRUITS OF ALTAI VARIETIES AS A SOURCE OF NUTRITIOUS AND BIOLOGICALLY ACTIVE SUBSTANCES

2021 ◽  
pp. 245-252
Author(s):  
Sergey Aleksandrovich Makarenko
Keyword(s):  
Biochemical Composition ◽  
Chemical Elements ◽  
Sugar Content ◽  
Biologically Active ◽  
Apple Trees ◽  
Statistical Variation ◽  
Good Taste ◽  
High Sugar Content ◽  
Autumn And Winter

A comparative analysis of the varietal variability of the fruits of 71 varieties of apple trees of Altai selection in terms of biochemical composition, according to generally accepted methods using statistical variation analysis based on long-term research, was carried out. Correlations were revealed between the content of chemical elements depending on other characteristics of the fruit and the period of ripening. The average content of soluble dry matter in fruits is from an average 15.5% in summer varieties to a high 16.2–16.3% in varieties with autumn and winter ripening. On average, the content of total sugars in fruits is high and varies insignificantly from 12.7 to 12.9%, the content of titratable acids in fruits is high – 1.0%. The content of ascorbic acid is higher in fruits of varieties with summer ripening and is 24.0 mg / 100 g, with autumn – 19.6 mg / 100 g, with winter – 22.0 mg / 100 g. As a result of selection for the qualitative improvement of fruits apple trees in Altai revealed a negative correlation of the biochemistry of the fetus, depending on its size for all indicators. Fruits of a significant part of varieties created in Altai have good taste, of which 27 have a sugar-acid index of 15–25. The fruits of the varieties Alpek, Altai Velvet, Altai New Year, Altai ruddy, Altai sweet, Gornoaltayskoe, Zolotaya taiga, Pepinka Altai have a very high sugar content of more than 15%, a high value of the sum of sugars – in fruits of 59 varieties from 10.0 to 14.9%. Varieties with high biochemical characteristics are their sources in breeding for improved biochemical composition of fruits.

scholarly journals Assessment of Mycological Quality of Groundwater in Yenagoa Metropolis, Bayelsa State, Nigeria

2021 ◽  
pp. 76-81
Author(s):  
Glory Richard ◽  
Ebinyo Rebecca Aseibai
Keyword(s):  
Potable Water ◽  
Appropriate Technology ◽  
World Health ◽  
Human Consumption ◽  
Statistical Variation ◽  
Total Fungi ◽  
Health Organization ◽  
Microbiological Procedures ◽  
Agricultural Organization

This study examined the mycological quality of groundwater in Yenagoa metropolis, Bayelsa State, Nigeria. Triplicate water samples were obtained from 8 locations in the metropolis, and the fungi quality analyzed following standard microbiological procedures. Results showed that total fungi density ranged from 5.2±1.00 x102 to 8.50±0.56 x103 CFU/ml. Analysis of variance indicates statistical variation (p=0.001) across locations with total fungi density exceeding the limit of 102 CFU/ml specified by World Health Organization/Food and Agricultural Organization for potable water in 62.50% of samples. Eight fungi isolates (species) were identified in the study with frequency across the locations as follows: Aspergillus flavus (20.59%), Aspergillus fumigatus (20.59%), Aspergillus niger (20.59%), Cladosporum (5.88%), Fusarium (2.94%), Mucor (8.82%), Penicilium (14.71%) and Rhizopus (5.88%). Of these, Aspergillus species were predominant across the locations. Since groundwater meets diverse purposes, it is essential that it is suitable for the desired use, and this can be done using appropriate technology to make groundwater potable for human consumption.

Effects of Noise on Measured Ritz Vectors

1997 ◽  
Author(s):  
David C. Zimmerman ◽  
Timothy T. Cao
Keyword(s):  
Structural Damage ◽  
Element Model ◽  
Mode Shapes ◽  
Structural Damage Detection ◽  
Structural Dynamic ◽  
Response Data ◽  
Statistical Variation ◽  
Ritz Vectors ◽  
Traditional Mode ◽  
Model Correlation

Abstract Ritz vectors offer many advantages over the traditional mode shapes in the areas of model reduction and structural dynamic simulation. Building upon the recent development of an experimental method to extract Ritz vectors from measured dynamic response data, these vectors were also demonstrated to offer great potential in the areas of finite element model correlation and structural damage detection. In this paper, a Monte Carlo simulation is performed to study the accuracy and stability of Ritz vectors extracted from this new procedure using noise corrupted response data. The statistical variation of Ritz parameters and modal parameters extracted from the same data is made to assess the sensitivity of Ritz vector extraction to measured noise.

scholarly journals Translating environmental xenobiotic fate models across scales

1997 ◽  
Vol 1 (4) ◽  
pp. 895-904 ◽  
Author(s):  
O. Richter ◽  
B. Diekkrüger
Keyword(s):  
Stochastic Models ◽  
Process Models ◽  
Spatial Process ◽  
Soil Parameters ◽  
Deterministic Models ◽  
Deterministic Process ◽  
Statistical Variation ◽  
Scale Models ◽  
Classical Models ◽  
Environmental Xenobiotic

Abstract. The classical models developed for degradation and transport of xenobiotics have been derived with the assumption of homogeneous environments. Unfortunately, deterministic models function well in the laboratory under homogeneous conditions but such homogeneous conditions often do not prevail in the field. A possible solution is the incorporation of the statistical variation of soil parameters into deterministic process models. This demands the development of stochastic models of spatial variability. To this end, spatial soil parameter fields are conceived as the realisation of a random spatial process. Extrapolation of local fine scale models to large heterogeneous fields is achieved by coupling deterministic process models with random spatial field models.

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