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    Wyświetlanie 1-3 z 3
    Tytuł:
    Research of Building the Reasonable Mixing Ratio between Waste Rock and Fly Ash as Backfill Material in Mongduong-Cocsau Area, Quang Ninh, Vietnam
    Autorzy:
    Nguyen, Phi Hung
    Nguyen, Cao Khai
    Nguyen, Thi Kim Thanh
    Powiązania:
    https://bibliotekanauki.pl/articles/27323277.pdf
    Data publikacji:
    2023
    Wydawca:
    Polskie Towarzystwo Przeróbki Kopalin
    Tematy:
    waste rock
    fly ash
    shrinkage rate
    pipeline transportation capacity
    górnictwo
    transport
    rurociągi
    Wietnam
    Opis:
    The coal mining industry in Quang Ninh province is primarily focused on serving thermal power plants which has resulted in a substantial amount of waste rock and ash. This way has not only narrowed the used land but also had a negative impact on the environment. However, the economic development plan for the province until 2030 emphasizes the development of a greener economy. Therefore, balancing between economic growth and environmental protection is one of the significant challenges of this province. To solve the problem of waste rock and ash dumps, some methods have been proposed. It tends to use waste materials for backfilling the underground mines, this can help to minimize the bad impact on the environment. Additionally, Another solution is to handle the waste in abandoned mining areas, or use them as construction materials. These ways are expected to partially reduce the bad effects of waste rock and ash dumps on the environment. In the world, there are many studies on filling using waste rock and fly ash, but in Vietnam this issue is quite new. In order to turn waste rock and fly ash into filling materials, the article researches on a laboratory scale, the ability of transportation in hydraulic pipelines, level of the water separation and shrinkage of mixtures of rock and fly ash in the Mong Duong – Coc Sau area with the different proportions. The results of the experiments show that the area has appropriate mixing ratio as 70–73% of waste rock and 30–27% of fly ash, this ratio satisfies the transportation conditions in the pipeline and the shrinkage rate of 8, 8–12.3%. The indicators in experiments show that it is able to take waste rock into mined underground area to fill, which prevents displacement of strata from mining, protects the underground water flow, and also reduces negative impact of waste rock on environment.
    Źródło:
    Inżynieria Mineralna; 2023, 2; 257--265
    1640-4920
    Pojawia się w:
    Inżynieria Mineralna
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Bayesian combined forecasts and Monte Carlo simulations to improve inflation rate predictions in Romania
    Autorzy:
    Simionescu, Mihaela
    Powiązania:
    https://bibliotekanauki.pl/articles/692557.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Ekonomiczny w Poznaniu
    Tematy:
    forecasts accuracy
    Bayesian forecasts combination
    shrinkage parameter
    econometric model
    Opis:
    In this paper we applied the regression approach and Bayesian inference to obtain more accurate forecasts of the inflation rate in the case of the Romanian economy. The necessity of using the most accurate forecasts for the inflation rate is required by the realisation of economic criteria for the accession to the eurozone and by the inflation targeting strategy of the National Bank of Romania. Considering the assumption that simple econometric models provide better forecasts than complex models, in this paper we combined various forecasts from individual models using as prior information the expectations of experts. The empirical findings for Romanian inflation rate forecasts over the horizon of 2016-2018 indicated that a fixed effects model performed better than other simple models (autoregressive moving average model, dynamic model, simple and multiple linear model, VAR, Bayesian VAR, simultaneous equations model). The Bayesian combined forecasts that used experts’ predictions as priors, with a shrinkage parameter tending to infinity, improved the accuracy of all predictions using individual models, outperforming also naïve forecasts and zero and equal weights forecasts. However, predictions based on Monte Carlo simulation outperformed all the scenarios in terms of the mean error and mean absolute error.  
    Źródło:
    Research Papers in Economics and Finance; 2020, 4, 1; 7-20
    2543-6430
    Pojawia się w:
    Research Papers in Economics and Finance
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Bayesian combined forecasts and Monte Carlo simulations to improve inflation rate predictions in Romania
    Autorzy:
    Simionescu, Mihaela
    Powiązania:
    https://bibliotekanauki.pl/articles/692571.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Ekonomiczny w Poznaniu
    Tematy:
    forecasts accuracy
    Bayesian forecasts combination
    shrinkage parameter
    econometric model
    Opis:
    In this paper we applied the regression approach and Bayesian inference to obtain more accurate forecasts of the inflation rate in the case of the Romanian economy. The necessity of using the most accurate forecasts for the inflation rate is required by the realisation of economic criteria for the accession to the eurozone and by the inflation targeting strategy of the National Bank of Romania. Considering the assumption that simple econometric models provide better forecasts than complex models, in this paper we combined various forecasts from individual models using as prior information the expectations of experts. The empirical findings for Romanian inflation rate forecasts over the horizon of 2016-2018 indicated that a fixed effects model performed better than other simple models (autoregressive moving average model, dynamic model, simple and multiple linear model, VAR, Bayesian VAR, simultaneous equations model). The Bayesian combined forecasts that used experts’ predictions as priors, with a shrinkage parameter tending to infinity, improved the accuracy of all predictions using individual models, outperforming also naïve forecasts and zero and equal weights forecasts. However, predictions based on Monte Carlo simulation outperformed all the scenarios in terms of the mean error and mean absolute error.  
    Źródło:
    Research Papers in Economics and Finance; 2020, 4, 1; 7-20
    2543-6430
    Pojawia się w:
    Research Papers in Economics and Finance
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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