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Wyświetlanie 1-2 z 2
Tytuł:
Forecasting greenhouse gas emissions of the Slovak Republic based on grey models
Autorzy:
Vojteková, Mária
Blažeková, Oľga
Pavlicko, Michal
Powiązania:
https://bibliotekanauki.pl/articles/2057615.pdf
Data publikacji:
2022
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
GHG
greenhouse gas
Slovak Republic
mathematical model
greyscale
gaz cieplarniany
Słowacja
model matematyczny
skala szarości
Opis:
Reducing greenhouse gas (GHG) emissions has become a necessity and not an option to sustain the environment in both human and natural systems. The Slovak Republic (SR), like the European Union (EU), aims to become greenhouse gas neutral by 2050. To reach this ambitious target, emissions will need to fall by 55% compared to those in the base year 1990. Therefore, forecasting GHG emission amounts is important. The grey model is one of the widespread mathematical forecasting methods. There exist studies that have used some types of grey models to predict GHG but not in the case of the Slovak Republic. We have optimized the length of the input sequence in the rolling mechanism to enhance the forecast accuracy of a new grey model combining the Bernoulli equation with the rolling mechanism. Standard grey model, nonlinear grey Bernoulli model, and grey model with rolling mechanism were used to prove the validity of our optimization and to compare prediction performance among grey models. The novel model was also used for a long-term forecast of GHG emissions in the SR for the years from 2020 to 2040 and compared with officially reported projections. Calculated values showed that the SR is on a good way to reach set targets towards climate change mitigation.
Źródło:
Environment Protection Engineering; 2022, 48, 1; 117--134
0324-8828
Pojawia się w:
Environment Protection Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of LandGEM mathematical model for the estimation of gas emissions from contaminated sites. A case study of a dumping site in Lahore, Pakistan
Autorzy:
Alam, Asifa
Chaudhry, M. Nawaz
Ahmad, Sajid Rashid
Ullah, Rizwan
Batool, Syeda Adila
Butt, Talib E.
Alghamdi, Huda Ahmed
Mahmood, Adeel
Powiązania:
https://bibliotekanauki.pl/articles/2057619.pdf
Data publikacji:
2022
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
mathematical model
greenhouse gas
energy supply
garbage dump
model matematyczny
gaz cieplarniany
źródło energii
wysypisko śmieci
Opis:
Decomposition of organic waste in dumping sites and landfills prompts the uncontrolled emission of greenhouse gases which enhances global warming and related issues. The present investigation estimated the total landfill gas, methane, carbon dioxide and non-methane organic compounds emissions from Mahmood Booti dumping site located at Lahore, Pakistan from 1996 to 2045. LandGEM 3.02 model was utilized to evaluate the gas emission with the volumetric methane 50%, production potential (170 m3/Mg), and methane generation rate (0.050/year). The findings demonstrated that organic and food wastes had the maximum quantity in the solid waste stream (63.46%). Methane measured from solid waste was 1.150E+03 (Mg/year) in 1997 in the first year after waste was accepted by landfill while the maximum methane generation rate happened from 2014 to 2018, i.e., from 4.049×104 to 4.654×104 Mg/year, respectively. The study finding highlighted that all gases emissions have an increasing/rising trend up to 2021 and then gradually their level will decrease because most of the organic fractions of solid waste would degrade with time. The findings of this study can be used to identify the impacts and contribution of MBODS in the global emission of greenhouse gases. The study concludes that proper management of landfill gas will not only decreases greenhouse gas emissions, diminishing adverse impacts on public health but can also be used as a sustainable energy source.
Źródło:
Environment Protection Engineering; 2022, 48, 1; 69--81
0324-8828
Pojawia się w:
Environment Protection Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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