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001-es BibID:	BIBFORM076269
Első szerző:	Bertalan László (geográfus)
Cím:	Szélklimatológiai elemzések geoinformatikai és fotogrammetriai módszerekkel / Bertalan László, Balázs Boglárka, Lázár István, Négyesi Gábor
Dátum:	2018
ISBN:	978-963-508-896-6
Tárgyszavak:	Természettudományok Földtudományok előadáskivonat fotogrammetria szélklimatológia
Megjelenés:	IX. Magyar Földrajzi Konferencia Előadásainak Összefoglalói / szerk. Fazekas István, Kiss Emőke, Lázár István. - p. 119. -
További szerzők:	Balázs Boglárka (1985-) (geográfus) Lázár István (1986-) (geográfus) Négyesi Gábor (1980-) (geográfus)
Pályázati támogatás:	EFOP-3.6.1-16-2016-00022 EFOP
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM125128
035-os BibID:	(Scopus)85207309110 (WoS)001345756700001
Első szerző:	Lázár István (geográfus)
Cím:	Comparative examinations of wind speed and energy extrapolation methods using remotely sensed data - A case study from Hungary / István Lázár, István Hadnagy, Boglárka Bertalan-Balázs, László Bertalan, Sándor Szegedi
Dátum:	2024
ISSN:	2590-1745
Megjegyzések:	Exact knowledge of wind energy potential is a fundamental issue in wind energy utilization. The vertical changes in wind speeds, that is, the wind profile, have a predominant impact on the wind energy available at a location because the kinetic energy of moving air is proportional to the square of the wind speed. Roughness describes the resistance of a 3D surface to moving air. The exponent α of the power law of Hellmann and the roughness length (z0) are two parameters that describe the effects of the roughness of the surface on the wind profile. They can be used for the vertical extrapolation of wind speeds. The exponent α can be determined using multiple height level wind speed measurement data, whereas a reliable technique for the calculation of the roughness length requires detailed knowledge of the 3D geometry of the measurement site. In the present study, the exponent α was calculated based on SODAR wind speed measurements, while (z0) was determined using a combination of GIS and UAS-based aerial survey methods. Wind speeds measured at 50?m were extrapolated for height levels of 80, 90, 100, 110, and 120?m using dynamic power law exponent values. Wind power was determined using the power law (method V1), roughness length (method V2), frequency distribution (method W-RF), and gamma distribution (method W-G), and Windographer software was compared to the values calculated from the empirical (measured) wind speeds. A comparative statistical analysis of the datasets of the power law and roughness length methods on monthly/diurnal, annual/diurnal, and month/direction contexts showed no significant differences at all height levels. Differences can be detected in the distribution of the signs of the differences at heights of 80 and 120?m for the entire dataset. Underestimation was dominant with a significant frequency (over 70?%) in the case of both methods and heights. There were no significant differences between the wind power estimations provided by the different methods, and all the methods involved in the study underestimated the wind speeds and wind energy potential for each height level. Methods V1 and V2 can be used alternatively, depending on the input data available for analysis. The major advantage of method V2 is that it provides the same accuracy as V1, which requires a UAS-based aerial survey at the beginning, but continuous wind measurements must be performed at a lower height only. This means that there is no need for a high measurement tower, which makes the measurements simpler, more cost-effective, and causes much less disturbance to the environment. Another important advantage of the methods presented here is that they use a dynamic approach of power law exponent values that provide a more realistic estimation of wind speed and energy on a diurnal scale.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk wind profile remote sensing power law roughness length weibull distribution wind energy potential estimation
Megjelenés:	Energy Conversion and Management: X. - 24 (2024), p. 1-11. -
További szerzők:	Hadnagy István (1986-) (meteorológus) Balázs Boglárka (1985-) (geográfus) Bertalan László (1989-) (geográfus) Szegedi Sándor (1970-) (klimatológus)
Pályázati támogatás:	TKP2021-NKTA-34 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM082289
035-os BibID:	(Scopus)85073535346
Első szerző:	Szabó Szilárd (geográfus)
Cím:	Geospatial analysis of drought tendencies in the Carpathians as reflected in a 50-year time series / Szilárd Szabó, Noémi Mária Szopos, Boglárka Bertalan-Balázs, Elemér László, Dragan D. Milošević, Christian Conoscenti, István Lázár
Dátum:	2019
ISSN:	2064-5031 2064-5147
Megjegyzések:	Climate change is one of the most important issues of anthropogenic activities. The increasing drought conditions can cause water shortage and heat waves and can influence the agricultural production or the water supply of cities. The Carpathian region is also affected by this phenomenon; thus, we aimed at identifying the tendencies between 1960 and 2010 applying the CarpatClim (CC) database. We calculated the trends for each grid point of CC, plotted the results on maps, and applied statistical analysis on annual and seasonal level. We revealed that monthly average temperature, maximum temperature and evapotranspiration had similar patterns and had positive trends in all seasons except autumn. Precipitation also had a positive trend, but it had negative values in winter. The geospatial analysis disclosed an increasing trend from West to East and from north to west. A simple binary approach (value of 1 above the upper quartile in case of temperature and evapotranspiration, value of 1 below the lower quartile; 0 for the rest of the data) helped to identify the most sensitive areas where all the involved climatic variables exceeded the threshold: Western Hungary and Eastern Croatia. Results can help to prepare possible mitigation strategies to climate change and both landowners and planners can draw the conclusions.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk CarpatClim climatic change robust comparisons sensitivity
Megjelenés:	Hungarian Geographical Bulletin. - 68 : 3 (2019), p. 269-282. -
További szerzők:	Szopos Noémi Mária (1994-) (geográfus) Balázs Boglárka (1985-) (geográfus) László Elemér (1987-) (meteorológus előrejelző szakiránnyal) Milosevic, Dragan Conoscenti, Christian Lázár István (1986-) (geográfus)
Pályázati támogatás:	NKFIH 108755 egyéb GINOP-2.3.2-15-2016-00009 GINOP ICER TUDFO/51757/2019-IT egyéb
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