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    Wyświetlanie 1-6 z 6
    Tytuł:
    Dynamiczne modele gospodarstw rolnych o różnej powierzchni ze stochastycznymi parametrami
    Dynamic optimization models with stochastic parameters of agricultural farms of various area
    Autorzy:
    Zarod, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/79017.pdf
    Data publikacji:
    2010
    Wydawca:
    Zachodniopomorski Uniwersytet Technologiczny w Szczecinie. Wydawnictwo Uczelniane ZUT w Szczecinie
    Tematy:
    gospodarstwa rolne
    wielkosc gospodarstw
    modele optymalizacyjne
    modele dynamiczne
    efektywnosc produkcji
    modele gospodarstw
    modele stochastyczne
    Opis:
    The agricultural farms of Westpomeranian Province were divided into 8 area groups (1–5 ha, 5–10 ha, 10–15 ha, 15–20 ha, 20–30 ha, 30–50 ha, 50–200 ha and over 200 ha). For each group a dynamic optimization model with stochastic technical-economic parameters was created. The basic crop qualities units in the models were replaced by the regression functions. The describing variables of those functions regard the fertilization, rainfall and temperature during the vegetation period and affect the yields considerably. Additionally, the variables achieve values from the specific intervals, covering the real fluctuations of the values observed within the years 2003–2006. The goal of this work is the optimization of agricultural production in the farms of various area and the regard to the yields and income fluctuations caused by changeable climatic conditions.
    Źródło:
    Folia Pomeranae Universitatis Technologiae Stetinensis. Oeconomica; 2010, 59
    2081-0644
    Pojawia się w:
    Folia Pomeranae Universitatis Technologiae Stetinensis. Oeconomica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modele stochastyczne zanieczyszczeń powietrza w aglomeracjach przemysłowych
    Stochastic models of air pollution in industrial agglomerations
    Autorzy:
    Tumidajski, T.
    Foszcz, D.
    Niedoba, T.
    Siewior, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/1819793.pdf
    Data publikacji:
    2009
    Wydawca:
    Politechnika Koszalińska. Wydawnictwo Uczelniane
    Tematy:
    zanieczyszczenie powietrza
    modele stochastyczne
    aglomeracja przemysłowa
    air pollution
    industrial agglomeration
    stochastic models
    Opis:
    The Upper Silesian Industrial Region (GOP) is one of the most polluted regions in Poland. Because of the location of several important heavy industrial plants it is necessary to permanently monitor the various sort of dust and gas pollutantsconcentrations in this area. The paper presents the possibilities of stochastic air pollution modeling on the basis of data collected by monitoring stations. Several types of models were shown, including models applied in regions of big cities, like Stockholm, Vienna and Madrid, with special impact to so-called adaptive models. It was statistically proved that the formulae of the SO2 propagation model for the GOP S(t)=a+bS(t-1)+c(T-T0)2+d(v-v0)2+eQ1=eQ2. This equation was applied practically on the basis of the empirical data collected by selected monitoring stations.For the chosen monitoring station the directions of pollution flows and winds wereshown graphically (fig. 1). Nest step was derivation of the SO2 propagation model bytraditional regressive techniques (models from equations 6, 7 and 8), taking into considerationdirections of air flows, and adaptive models (fig. 3) basing on the previous model formulae. The obtained models were statistically evaluated. It occurred that the models considering air flows directions show changes of pollution propagation characteristics The advantage of adaptive models, which take into consideration data from previous periods of time, was proved, as they forecast concentration of pollution far better than the traditional regressive models.
    Źródło:
    Rocznik Ochrona Środowiska; 2009, Tom 11; 543-554
    1506-218X
    Pojawia się w:
    Rocznik Ochrona Środowiska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Stochastyczny model określania miąższości złomów, wywrotów i posuszu
    Stochastic model for calculating the volume of wind-broken and wind-thrown wood as well as of deadwood
    Autorzy:
    Bruchwald, A.
    Dmyterko, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/990021.pdf
    Data publikacji:
    2014
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    lesnictwo
    uszkodzenia drzewostanow
    zlomy
    wywroty
    posusz
    miazszosc
    modele stochastyczne
    damage
    risk model
    wind
    Opis:
    The most recent version of the wind damage risk model was published in 2012. The model is based on eleven stand characteristics of which stand damage that occurred in the last decade is among the most important ones. It is expressed as the volume of wood obtained from wind−broken and wind−thrown trees as well as of deadwood. Not taking this feature into consideration would undermine the value of this damage risk factor. In the study, the material contained in the database of the State Forests Information System was used to develop a model for calculating the volume of wood obtained from wind−broken and wind−thrown trees as well as of deadwood. This allowed to apply the stand damage risk model to determine, inter alia, the risk of damage in a multi−variant forecast of timber resources.
    Źródło:
    Sylwan; 2014, 158, 04; 258-266
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Model wzrostu modrzewia europejskiego (Larix decidua Mill.)
    Growth model for European larch [Larix decidua Mill.]
    Autorzy:
    Bruchwald, A.
    Zasada, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/1009318.pdf
    Data publikacji:
    2010
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    lesnictwo
    dendrometria
    drzewa lesne
    modrzew europejski
    Larix decidua
    modele wzrostu
    modele stochastyczne
    drzewostany modrzewiowe
    struktura drzewostanu
    produkcyjnosc lasu
    growth and yield model
    european larch
    forest productivity
    stand structure
    Opis:
    The paper discusses the functioning scheme and components of the stochastic growth model for European larch. The model was presented in the form suitable for processing the periodic forest inventory data (diameter and height of trees measured on fixed sample plots and average stand age). The growth model for larch consists of four main algorithms: introductory, thinning, mortality and incremental. First, the introductory algorithm is run to determine stand characteristics at certain age. Next, the thinning algorithm linked with the mortality procedure is activated. In the next step, incremental algorithm (also coupled with mortality program) is turned on. Thinning and incremental programs are run alternately until the end of prognosis period is reached. One of the most important characteristics of forest stand structure is tree stocking utilized directly by the thinning algorithm. The presented model is suitable for prognosis of European larch stands with any age, site index, stocking and various results of measured diameters and heights. It requires verification based on independent empirical data, preferably from permanent research plots.
    Źródło:
    Sylwan; 2010, 154, 09; 615-624
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Elaboration of occupational risks evaluation models considering the dynamics of impact of harmful factors
    Autorzy:
    Bochkovskyi, A. P.
    Powiązania:
    https://bibliotekanauki.pl/articles/1818829.pdf
    Data publikacji:
    2020
    Wydawca:
    Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
    Tematy:
    safety management
    health management
    Markov drift processes
    stochastic models
    risk evaluation
    occupational risk
    zarządzanie bezpieczeństwem
    zarządzanie zdrowiem
    modele stochastyczne
    ocena ryzyka
    ryzyko zawodowe
    Opis:
    Purpose: Elaborate and substantiate stochastic models of occupational risk evaluation for application in the occupation health and safety. Design/methodology/approach: Analysis of scientific and technical literature and regulatory framework for risk evaluation in the occupation health and safety; methods of probability theory, theory of Markov processes; methods of restoration theory. Findings: A system of differential equations and limit conditions for finding the limit distribution of probabilities of a random process of occupational dangers is derived. Based on the results of solving the limit value task, expressions to determine a number of key indicators by which the level of occupational risk can be evaluated are obtained. Research limitations/implications: The proposed approach aims to evaluation the risk associated with the impact on the employee of harmful factors, but can also be used to evaluate the injury risk. But in this case the received limit value task will be much more difficult. Practical implications: The application of the proposed approach allows to increase the level of occupational safety by taking into account the stochastic characteristics of the negative factors impact on the employee during occupational risks evaluating, as well as the possibility of setting such values of controllable parameters that will allow with a certain probability to ensure not to exceed the level of impact accumulation in the employee of the consequences of these factors. Originality/value: Stochastic models of occupational risk evaluation based on the application of Markov drift processes for the modeling the hybrid nature of the negative factors impact on the employee, which occurs within the real systems "man - technical system - production environment" were elaborated and substantiated for the first time.
    Źródło:
    Journal of Achievements in Materials and Manufacturing Engineering; 2020, 102, 2; 76--85
    1734-8412
    Pojawia się w:
    Journal of Achievements in Materials and Manufacturing Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Elaboration of stochastic models to comprehensive evaluation of occupational risks in complex dynamic systems
    Autorzy:
    Bochkovskyi, A. P.
    Powiązania:
    https://bibliotekanauki.pl/articles/1818802.pdf
    Data publikacji:
    2021
    Wydawca:
    Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
    Tematy:
    safety management
    health management
    dynamic systems
    Markov drift processes
    risk evaluation
    occupational risk
    zarządzanie bezpieczeństwem
    zarządzanie zdrowiem
    układy dynamiczne
    modele stochastyczne
    ocena ryzyka
    ryzyko zawodowe
    Opis:
    Purpose: Elaborate stochastic models to comprehensive evaluation of occupational risks in “man - machine - environment” systems taking into account the random and dynamic nature of the impact on the employee of negative factors over time. Design/methodology/approach: Within study, the methods of probability theory and the theory of Markov processes - to find the limit distribution of the random process of dynamic impact on the employee of negative factors over time and obtain main rates against which the level of occupational risks within the "man - machine - environment" systems can be comprehensively evaluated; Erlang phases method, Laplace transform, difference equations theory, method of mathematical induction - to elaborate a method of analytical solution of the appropriate limit task for a system of differential equations in partial derivatives and appropriate limit conditions were used. Findings: A system of differential equations in partial derivatives and relevant limit conditions is derived, which allowed to identify the following main rates for comprehensive evaluation of occupational risks in systems "man - machine - environment": probability of excess the limit of the employee's accumulation of negative impact of the harmful production factor; probability of the employee’s injury of varying severity in a random time. An method to the solution the limit task for a system of differential equations, which allows to provide a lower bounds of the probability of a certain occupational danger occurrence was elaborated. Research limitations/implications: The elaborated approach to injury risk evaluation is designed to predict cases of non-severe injuries. At the same time, this approach allows to consider more severe cases too, but in this case the task will be more difficult. Practical implications: The use of the elaborated models allows to apply a systematic approach to the evaluation of occupational risks in enterprises and to increase the objectivity of the evaluation results by taking into account the real characteristics of the impact of negative factors on the employee over time. Originality/value: For the first time, a special subclass of Markov processes - Markov drift processes was proposed and substantiated for use to comprehensive evaluation of occupational risks in “man - machine - environment” systems.
    Źródło:
    Journal of Achievements in Materials and Manufacturing Engineering; 2021, 104, 1; 31--41
    1734-8412
    Pojawia się w:
    Journal of Achievements in Materials and Manufacturing Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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