| Issue |
E3S Web Conf.
Volume 411, 2023
VI International Conference on Actual Problems of the Energy Complex and Environmental Protection (APEC-VI-2023)
|
|
|---|---|---|
| Article Number | 02048 | |
| Number of page(s) | 6 | |
| Section | Ecology, Environmental Protection and Conservation of Biological Diversity | |
| DOI | https://doi.org/10.1051/e3sconf/202341102048 | |
| Published online | 10 August 2023 | |
Analysis of greenhouse gas generation models at household waste landfills for ecosystem applications
1 Institute of Biophysics SB RAS, Federal Research Center “Krasnoyarsk Science Center SB RAS”, 50/50, Akademgorodok, Krasnoyarsk, 660036, Russia
2 Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russia
* Corresponding author: trifonov_sergei@inbox.ru
The control and minimization of greenhouse gas emissions is an important task of modern ecology. One of the sources of greenhouse gases is landfills of household waste (LHW). A special feature of LHWs, as a source of greenhouse gases, is the complexity of estimating emissions. The fact is that the production of greenhouse gases (mainly methane) at LHW is a long process, time-consuming and dependent on many factors. In particular, the rate of putrefaction of organic waste depends on environmental parameters, such as temperature, humidity, and precipitation patterns. Knowing the estimates of greenhouse gas emissions, it is possible to develop an appropriate technology for their disposal, taking into account the regional features of the location of landfills. A mathematical model of gas formation on LHWs is required to solve the problem of predicting greenhouse gas emissions from these landfills. Currently, there are several generally accepted models of LHW. This paper reviews the three main models used in world practice: LandGEM, EPER-Germany, and TNO in terms of their universality and applicability for describing LHW from Siberia region. It was shown that the most promising model is LandGEM.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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