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The assessment of atmospheric drought during vegetation season (according to standardized precipitation index SPI) in central-eastern Poland

Radzka E.

Journal of Ecological Engineering

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2015

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Vol. 16, nr 1

87--91

EN

The paper presents an assessment of atmospheric drought during vegetation season defined on the basis of standardized precipitation index (SPI). The data used in this paper come from nine IMWM stations from central-eastern region of Poland, and they were registered in 1971–2005. The frequency of occurrence of vegetation season’s months was determined in particular drought classes. Spatial distribution of SPI index values was shown in all of the vegetation season’s months on the area examined. The direction and significance of values changes tendency of the analyzed index during the vegetation season were also defined. It was noticed that extreme droughts appeared four times less frequently than the normal months. Very dry months were noted most frequently in September while moderately dry – in August. The analysis of the frequency of spatial distribution of particular drought classes showed that extreme dry and very dry months occurred most frequently in western part of the area examined, while the moderately dry months also in south-eastern part. On the basis of the linear trend analysis it can be said that the SPI index values were slightly decreasing year by year.

2

The Applicability of Time Series Analysis in Real Estate Valuation

Adamczyk T., Bieda A.

Geomatics and Environmental Engineering

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2015

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Vol. 9, no. 2

15--25

PL

Szereg czasowy to uporządkowany zbiór obserwacji, którego dziedziną jest czas. Strukturę większości szeregów scharakteryzować można za pomocą dwóch podstawowych składników: trendu i składowej okresowej. Znajomość matematycznego modelu procesu opisanego szeregiem umożliwia generowanie na jego podstawie predykcji analizowanego zjawiska. Skoro celem analizy szeregów czasowych jest wskazanie istoty zjawisk nimi opisanych albo prognozowanie przyszłych ich wartości, autorzy proponują wykorzystać je w wycenie nieruchomości do analizy trendu zmiany cen w czasie oraz określenia wartości rynkowej nieruchomości.

EN

Time series is an ordered set of observations whose domain is time. The structure of most series can be defined by two basic components: the trend and the seasonal component. The knowledge of a mathematical model of a process described by the series allows us to generate a prediction of the analyzed phenomenon on its basis. In view of the fact that the purpose of time series analysis is to identify the essence of the phenomena they describe, or to forecast their future value, the authors therefore propose to use them in the valuation of real estate to analyze a trend of price changes in time and to determine their market value.

3

Bioklimatyczne warunki wypoczynku w rejonie jeziora Miedwie w półroczu ciepłym

Koźmiński C., Michalska B., Mąkosza A.

Przegląd Naukowy Inżynieria i Kształtowanie Środowiska

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2007

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Vol. 16, No. 3

3--13

EN

On the basis of daily measurements of the temperature and humidity, the state of the sky and the wind speed taken at noon (12.00 UTC) at the Lipnik meteorological station situated in the vicinity of lake Miedwie, the indexes of the sensible temperature (STI) and the weather evaluation (WEItot) were calculated. In the region of the lake the following heat sensations occur most frequently: “chilly” and “warm” and then “hot” and “comfortably”. Favourable weather conditions for tourism and recreation are in April, May, June and in September, whereas moderate weather conditions are mainly in July and August, i.e. the time of the major number of hot days.