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Estimating the amount and heating value of wood waste burned in households based on FICM HWP model output data
79-84Views:436A 2009 study published by the Regional Centre for Energy Policy Research (RCEPR) sparked significant debate within the Hungarian forestry and wood industry sectors. The study suggested a substantial shortfall in the balance of solid bioenergy biomass usage and sources, which it attributed to large-scale illegal logging. The Bio Screen CCE Project updated this analysis and quantified a 37.2 PJ (43%) deficit in the solid bioenergy biomass balance for 2019. This study investigates the extent to which household wood waste burning could account for this shortfall. Using the Forest Industry Carbon Model (FICM) HWP submodel, the authors estimate that over 1.2 million m³ of wood waste may be burned annually in households. The heating value of this burned wood waste for 2019 is estimated at 14 PJ, explaining 39% of the shortfall identified in the Bio Screen CCE Project’s 2021 report.
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Drought cycle tracking in Hungary using Standardized Precipitation Index (SPI)
97-101Views:586Drought is one of the natural hazard risks which badly affects both agricultural and socio-economic sectors. Hungary, which is located in Eastern Europe has been suffering from different drought cycles; therefore, the aim of this study is to analyse the rainfall data obtained from ten metrological stations (Békéscsaba, Budapest, Debrecen, Győr, Kékestető, Miskolc, Pápa, Pécs, Szeged, Siófok, Szolnok) between 1985 and 2016, by using the Standardized Precipitation Index (SPI).
The results showed that 2011 was recorded as the worst drought cycle of the studied period, where the SPI ranged between -0.22 (extreme drought) in Siófok, and 0.15 (no drought) in Miskolc. In a similar vein, the study highlighted the year 2010 to be the best hydrological year, when the SPI reached 0.73 (mildly wet) on average. Interestingly, the Mann-Kendall trend test for the drought cycle showed no positive trends in the study area. Finally, more investigation should be conducted into the climate change spatial drought cycle in Europe.
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The main influencing factors effecting the yield of maize
137-141Views:329Maize is one of Hungary’s major cereals. In the 1970s and 1980s, we were in the frontline regarding yields and genetic advancement. However, yield fluctuation in maize has increased to 50-60% from 10-20% since the 1980s, which was partly caused by the increase in weather extremes due to climate change and by agrotechnical shortcomings.
The experiments were carried out on typical meadow soil in four repetitions in the period of 2007-2008. In the sowing time experiment, sowing was performed on 10 April, 25 April, 15 May under a uniform fertilization of N120, P2O580 K2O 110 kg/ha. In the fertilization experiment, the yielding capacity of 10 hybrids with different genetic characteristics was studied in a control (non-fertilized) treatment and basic treatment of N40 P2O5 25, K2O 30 kg ha-1 active ingredient and a treatment with fivefold dosages of the basic treatment. In the plant density experiment, the relationship between plant density and yield was analysed at plant densities of 45, 60 and 75 thousand plants per ha. We found a tight correlation between sowing time and yield and grain moisture content at harvest. We found that grain moisture can be reduced by 5-10% by applying an earlier sowing time.
The agroecological optimum fertilizer dosage was N 40-120, P2O5 25-75, K2O 30-90 kg ha-1 active ingredient at a plant density of 60-90 thousand plants ha-1 depending on the hybrid and the year.