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Abstract

The work focused on forecasting changes in lake water level. The study employed the Triple Diagram Method (TDM) using geostatistical tools. TDM estimates the value by information from an earlier two periods of observation, refers as lags. The best results were obtained for data with an average a 1-week lag. At the significance level of 1σ, a the forecast error of ±2 cm was obtained. Using separate data for warm and cold months did not improve the efficiency of TDM. At the same time, analysis of observations from warm and cold months explained trends visible in the distribution of year-round data. The methodology, built on case study and proposed evaluation criteria, may function as a universal solution. The proposed methodology can be used to effectively manage water-level fluctuations both in postglacial lakes and in any case of water-level fluctuation.
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Bibliography

ABRAHART R.J., MOUNT N.J., SHAMSELDIN A.Y. 2012. Neuroemulation: definition and key benefits for water resources research. Hydrological Sciences Journal. Vol. 57(3) p. 407–423. DOI 10.1080/02626667.2012.658401.

ALTUNKAYNAK A., ÖZGER M., SEN Z. 2003. Triple diagram model of level fluctuations in Lake Van, Turkey. Hydrology and Earth System Sciences. Vol. 7(2) p. 235-244. DOI 10.5194/hess-7-235-2003.

ALTUNKAYNAK A. 2007. Forecasting surface water level fluctuations of Lake Van by artificial neural networks. Water Resources Management. Vol. 21(2) p. 399–408. DOI 10.1007/s11269-006-9022-6.

BAJKIEWICZ-GRABOWSKA E. 2005. Jeziora. Zmiany stanów wody. W: Geografia fizyczna Polski [Lakes. Changes in water levels. In: Physical Geography of Poland]. Ed. A. Richling, K. Ostaszewska. Warszawa. Wydaw. Nauk. PWN p. 173–183.

BARAŃCZUK J., BOROWIAK D. 2010. Jezioro Charzykowskie. W: Atlas jezior Zaborskiego Parku Krajobrazowego [Lake Charzykowskie. In: Atlas of the Zaborski Landscape Park Lakes]. Ed. J. Barańczuk, D. Borowiak. Gdańsk, Charzykowy. Katedra Limnologii Uniwersytetu Gdańskiego; Pomorski Zespół Parków Krajobrazowych p. 32–41.

BUYUKYILDIZ M., TEZEL G., YILMAZ V. 2014. Estimation of the change in lake water level by artificial intelligence methods. Water Resources Management. Vol. 28(13) p. 4747–4763. DOI 10.1007/s11269-014-0773-1.

CHOIŃSKI A. 2006. Katalog jezior Polski [The catalogue of Polish lakes]. Poznań. Wydaw. Nauk. UAM. ISBN 8323217327 pp. 599.

COULIBALY P. 2010. Reservoir computing approach to Great Lakes water level forecasting. Journal of Hydrology. Vol. 381(1) p. 76–88. DOI 10.1016/j.jhydrol.2009.11.027.

KISI O., SHIRI J., NIKOOFAR B. 2012. Forecasting daily lake levels using artificial intelligence approaches. Computers & Geosciences. Vol. 41 p. 169–180. DOI 10.1016/j.cageo.2011.08.027.

NOURY M., SEDGHI H., BABAZEDEH H., FAHMI H. 2014. Urmia lake water level fluctuation hydro informatics modeling using support vector machine and conjunction of wavelet and neural network. Water Resources. Vol. 41(3) p. 261–269. DOI 10.1134/S0097807814030129.

ÖZGER M., ŞEN Z. 2007. Triple diagram method for the prediction of wave height and period. Ocean Engineering. Vol. 34(7) p. 1060– 1068.

PASIERBSKI M. 1975. Uwagi o genezie niecki jeziora Charzykowskiego [Remarks on the genesis of the Charzykowskie lake basin]. Acta Universitatis Nicolai Copernici. Geografia. Vol. 11 p. 101–103.

PIASECKI A., JURASZ J., ADAMOWSKI J.F. 2018. Forecasting surface water- level fluctuations of a small glacial lake in Poland using a wavelet- based artificial intelligence method. Acta Geophysica. Vol. 66(5) p. 1093–1107. DOI 10.1007/s11600-018-0183-5.

PIASECKI A., JURASZ J., WITKOWSKI W. 2019. Application of triple diagram method in medium-term water consumption forecasting. In: Infrastructure and Environment. Ed. A. Krakowiak-Bal, M. Vaverkova. Springer p. 59–66.

PLEWA K., WRZESIŃSKI D., BACZYŃSKA A. 2017. Przestrzenne i czasowe zróżnicowanie amplitud stanów wody jezior w Polsce w latach 1981–2015 [Spatial and temporal differentiation of the ampli-tudes of lake water levels in Poland in the years 1981–2015]. Badania Fizjograficzne. Ser. A Geografia Fizyczna. Vol. 68 p. 115–126. DOI 10.14746/bfg.2017.8.8.

SANIKHANI H., KISI O., KIAFAR H., GHAVIDEL S. 2015. Comparison of different data-driven approaches for modeling lake level fluctua-tions: The case of Manyas and Tuz Lakes (Turkey). Water Resources Management. Vol. 29(5) p. 1557–1574. DOI 10.1007/s11269-014-0894-6.
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Authors and Affiliations

Adam Piasecki
1
ORCID: ORCID
Wojciech T. Witkowski
2
ORCID: ORCID

  1. Nicolaus Copernicus University, Faculty of Earth Sciences and Spatial Management, ul. Lwowska 1, 87-100, Toruń, Poland
  2. AGH University of Science and Technology, Faculty of Mine Surveying and Environmental Engineering, Krakow, Poland
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Abstract

Radio environment maps (REMs) are beginning to be an integral part of modern mobile radiocommunication systems and networks, especially for ad-hoc, cognitive, and dynamic spectrum access networks. The REMs will use emerging military systems of tactical communications. The REM is a kind of database used at the stage of planning and management of the radio resources and networks, which considers the geographical features of an area, environmental propagation properties, as well as the parameters of radio network elements and available services. At the REM, for spatial management of network nodes, various methods of propagation modeling for determining the attenuation and capacity of wireless links and radio ranges are used. One method of propagation prediction is based on a numerical solution of the wave equation in a parabolic form, which allows considering, i.a., atmospheric refraction, terrain shape, and soil electrical parameters. However, the determination of a current altitudinal profile of atmospheric refraction may be a problem. If the propagation-prediction model uses a fixed refraction profile, then the calibration of this model based on empirical measurements is required. We propose a methodology for calibrating the analyzed model based on an example empirical research scenario. The paper presents descriptions of the propagation model, test-bed and scenario used in measurements, and obtained signal attenuation results, which are used for the initial calibration of the model.

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Authors and Affiliations

Jan M. Kelner
Michał Kryk
Jerzy Łopatka
Piotr Gajewski
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Abstract

Thermal energy encounters a huge demand in the world, part of which can be met by renewable energy sources, such as solar energy, and storage of thermal energy surplus from industrial processes. For this purpose, thermal energy storage (TES) units, in which heat is stored, are developed. The energy is accumulated by phase change materials (PCM) characterized by high phase transition enthalpy. PCMs have poor thermal conductivity; therefore, to take full advantage of their capabilities and to accelerate the charging and discharging cycle, metallic structures are used. These structures are manufactured using investment casting technology. Creating models with additive methods, such as 3D printing, allows obtaining complex shapes with high accuracy, such as thin-walled castings. At a large scale, the method may not be cost-effective. In this paper, the heat exchanger models were made from PLA and the castings - from AC44200 aluminum alloy. Investment casting requires the proper selection of parameters, such as the right material for the model, the selection of the firing temperature, the adjustment of the temperature of the molten metal, the temperature of the mold, and the pressure in it. Misaligning any of the parameters can lead to imperfections on the finished casting. Based on the model roughness study, it was found that minor roughness and higher accuracy are presented by the lower parts of the casting, while weaker performance is observed for the upper parts. Metal castings in a salt PCM environment may be subjected to corrosion. Therefore, the authors proposed to produce protective coatings on aluminum castings by the PEO method - plasma electrolytic oxidation. Porous ceramic thin films consisting mainly of alumina were obtained. The next tests will be aimed to confirm whether this layer will not negatively influence the thermal conductivity of the thermal energy storage.
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Authors and Affiliations

N. M. Raźny
1
ORCID: ORCID

  1. Department of Lightweight Elements Engineering, Foundry and Automation, Wrocław University of Science and Technology, Wyb. Stanisława Wyspiańskiego 27, 50-370 Wrocław, Poland
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Abstract

A transition from generating electricity from conventional sources to generating it from renewables is one of drivers leading us towards a circular economy. Electricity is a specific product and regardless of where and how it is produced, it takes the same form. A novel aspect of the research is the examination of correlations and relationships between guarantees of origin. The research objective is to analyse the market for the guarantees of origin in the volatile price environment that we had late 2021 and early 2022. Therefore, we analysed demand for the guarantees in January 1, 2020 to June 30, 2022 and the correlation between the price of electricity and guarantees of origin. It was based on the secondary data analysis method and the use of Pearson’s correlation coefficient and a linear regression function. The authors of the study made a hypothesis that the trading volume would increase during the study period and that there would be a positive correlation between the price of energy and the guarantees of origin. A key finding of the study revealed a steady increase in the purchase of guarantees despite the rise in prices. The buying of the guarantees is not a top-down requirement, but rather a bottom-up action, which indicates growing social expectations towards enterprises to consume energy from renewable sources.
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Authors and Affiliations

Agnieszka Petryk
1
ORCID: ORCID
Piotr Adamik
2

  1. Krakow University of Economics, College of Public Economy and Administration, Rakowicka St 27, 31-510, Kraków, Poland
  2. PhD studies in Finance and Accounting at the Krakow University of Economics, Kraków, Poland
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Abstract

The aim of this study was to analyse and identify specific buffalo seminal plasma proteins (SPPs) responsible for sperm cryotolerance during low temperature storage. Computer Assisted Sperm Analysis (CASA) of the motility and viability of buffalo spermatozoa was performed before freezing and after thawing. Two sample groups were formed – ejaculates with high cryotol- erance (group A) and low cryotolerance (group B). CASA demonstrated that the initial progres- sive motility after thawing of the spermatozoa in group A is significantly higher than in group B (p<0.001). Group B showed a significant increase in the percentage of static and non-progressive spermatozoa at 240 min, when compared to group A (p<0.05). SPPs, proteins in the cryoprotec- tive medium (PM) and proteins in the mixture of PM and SP were separated by High Perfor- mance Liquid Chromatography (HPLC). Comparative analysis of the chromatographic profiles was performed to identify specific proteins related to sperm cryotolerance. SPPs profiles showed 5 distinct protein peaks in both groups, ranging from 500 kDa to 50 Da. Chromatograms of group A and group B showed quantitative and qualitative differences in protein content. Chromato- grams of proteins in PM showed 11 well-expressed peaks. HPLC analysis of the mixtures of SPPs from the two groups and PM visualized the formation of a new bio-complex structure expressed by a protein peak specific for group A (7.674 min, AU 1.50). This protein peak can be referred as a phenotypic trait for buffalo ejaculates with high sperm cryotolerance.

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Authors and Affiliations

M.G. Ivanova
D.G. Gradinarska
T.S. Tsvetkov
I.V. Kirilova
B.A. Georgiev
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Abstract

The process of investment casting of AZ91 magnesium alloy open-cell porosity foams was analysed. A basic investment casting technique was modified to enable the manufacturing of magnesium foams of chosen porosities in a safe and effective way. Various casting parameters (mould temperature, metal pouring temperature, pressure during metal pouring and solidifying) were calculated and analysed to assure complete mould filling and to minimize surface reactions with mould material. The foams manufactured with this method have been tested for their mechanical strength and collapsing behaviour. The AZ91 foams acquired in this research turned out to have very high open porosity level (>80%) and performed with Young’s modulus of ~30 MPa on average. Their collapsing mechanism has turned out to be mostly brittle. Magnesium alloy foams of such morphology may find their application in fields requiring lightweight materials of high strength to density ratio or of high energy absorption properties, as well as in biomedical implants due to magnesium’s high biocompatibility and its mechanical properties similar to bone tissue.
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Bibliography

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[28] Wong, P., Song, S., Tsai, P., Maqnun, M.J., Wang, W., Wu, J. & Jang, S.J. (2022). Using Cu as a spacer to fabricate and control the porosity of titanium zirconium based bulk metallic glass foams for orthopedic implant applications. Materials. 15(5), 1887, 1-14. https://doi.org/10.3390/ma15051887.

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Authors and Affiliations

H. Kapłon
1
ORCID: ORCID
A. Dmitruk
1
ORCID: ORCID
K. Naplocha
1
ORCID: ORCID

  1. Wroclaw University of Science and Technology, Poland
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Abstract

Alluvial and oxbow deposits preserved 18 m above the Skawa River valley floor are related to the Early Vistulian. Pollen analysis of the two mainly terrestrial profiles revealed a boreal forest succession. The age of the deposits is discussed.
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Authors and Affiliations

Krzysztof Bińka
Krzysztof Grzybowski
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Abstract

The most important distinctive features and some morphological and bionomie characteristic of Liriomyza huidobrensis are presented in this paper.
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Authors and Affiliations

Ewa G. Dankowska
Tadeusz Baranowski
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Bibliography

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Authors and Affiliations

Marek Krajewski
1
ORCID: ORCID

  1. Uniwersytet im. Adama Mickiewicza

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