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Wyszukujesz frazę "standard atmosphere" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Effect of the atmosphere on the performances of aviation turbine engines
Autorzy:
Balicki, Wł.
Szczeciński, S.
Chachurski, R.
Szczeciński, J.
Powiązania:
https://bibliotekanauki.pl/articles/386806.pdf
Data publikacji:
2014
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
power plant
aircraft engine
turbine engine
inlet icing
standard atmosphere
elektrownia
silnik samolotowy
silnik turbinowy
oblodzenie wlotu
Opis:
The paper presents how the parameters defining the state of the atmosphere: pressure, temperature, humidity, are affecting performance of the aircraft turbine engines and their durability. Also negative impact of dust pollution level is considered as an important source of engine deterioration. Article highlights limitation of the aircraft takeoff weight (TOW) and requirements for length of the runways depending on weather condition changes. These problems stem from the growing "demand" of gas turbine engines for an air. The highest thrust engines have air mass flow more than 1000 kg/s. Engine inlet ice formation is presented as a result of weather conditions and inlet duct design features.
Źródło:
Acta Mechanica et Automatica; 2014, 8, 2; 70-73
1898-4088
2300-5319
Pojawia się w:
Acta Mechanica et Automatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The impact of atmosphere delays in processing of aircraft’s coordinates determination
Autorzy:
Krasuski, K.
Wierzbicki, D.
Powiązania:
https://bibliotekanauki.pl/articles/244235.pdf
Data publikacji:
2016
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
GPS
SPP method
accuracy
standard deviation
atmosphere delays
Opis:
In this article, the study's results of aircraft’s coordinates and their accuracy are presented. The airborne test was conducted in military airport in Deblin on 1st of June 2010. The aircraft position was determinate using SPP method in RTKPOST library in RTKLIB software. To calculate the aircraft’s coordinates two strategies were used, first include correction of atmosphere delays (I solution) and another without this correction (II solution). Based on these calculations, the average accuracy of aircraft position is less than 5 m for solution I and less than 8 m for solution II, respectively. The mathematical model for recovery of aircraft position; the configuration of parameters in SPP method for solution; the standard deviation values of X, Y and Z coordinates; the values of RMS-3D parameter are presented in the article. In this article, the impact of ionosphere and troposphere delay in processing of recovery of aircraft position is presented. The aircraft’s coordinates were obtained using SPP (Single Point Positioning) method for two solutions, e.g. including atmosphere corrections (I solution) and excluding (II solution). The article is divided into 5 sections: introduction, mathematical model for recovery of aircraft position, research experiment, results and discussion, conclusions.
Źródło:
Journal of KONES; 2016, 23, 2; 209-214
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improvement of MERIS level 2 products in Baltic Sea coastal areas by applying the Improved Contrast between Ocean and Land processor (ICOL) - data analysis and validation
Autorzy:
Kratzer, S.
Vinterhav, C.
Powiązania:
https://bibliotekanauki.pl/articles/48296.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:
MERIS standard processor
FUB processor
C2E process
Baltic Sea
coastal area
data analysis
validation
spectral reflectance
open sea
remote sensing
water quality
atmosphere
water body
total suspended matter
suspended particulate matter
organic matter
Opis:
In this paper we compare the following MERIS processors against sea-truthing data: the standard MERIS processor (MEGS 7.4.1), the Case 2 Regional processor (C2R) of the German Institute for Coastal Research (GKSS), and the Case 2Water Properties processor developed at the Freie Universit¨at Berlin (FUB). Furthermore, the Improved Contrast between Ocean and Land processor (ICOL), a prototype processor for the correction of adjacency effects from land, was tested on all three processors, and the retrieval of level 2 data was evaluated against sea-truthing data before and after ICOL processing. The results show that by using ICOL the retrieval of spectral reflectance in the open sea was improved for all processors. After ICOL processing, the FUB showed rather small errors in the blue, but underestimated in the red −34% Mean Normalised Bias (MNB) and 37% Root Mean Square (RMS). For MEGS the reflectance in the red was underestimated by about −20% MNB and 23% RMS, whereas the reflectance in the other channels was well predicted, even without any ICOL processing. The C2R underestimated the red with about −27% MNB and 29% RMS and at 412 nm it overestimated the reflectance with about 23% MNB and 29% RMS. At the outer open sea stations ICOL processing did not have a strong effect: the effect of the processor diminishes progressively up to 30 km from land. At the open sea stations the ICOL processor improved chlorophyll retrieval using MEGS from −74% to about 34% MNB, and TSM retrieval from −63% to about 22% MNB. Using FUB in combination with ICOL gave even better results for both chlorophyll (25% MNB and 45% RMS) and TSM (−4% MNB and 36% RMS) in the open Baltic Sea. All three processors predicted TSM rather well, but the standard processor gave the best results (−12% MNB and 17% RMS). The C2R had a very low MNB for TSM (1%), but a rather high RMS (54%). The FUB was intermediate with −16% MNB and 31% RMS. In coastal waters, the spectral diffuse attenuation coefficient Kd(490) was well predicted using FUB or MEGS in combination with ICOL (MNB about 12% for FUB and 0.4% for MEGS). Chlorophyll was rather well predicted in the open Baltic Sea using FUB with ICOL (MNB 25%) and even without ICOL processing (MNB about 15%). ICOL-processed MEGS data also gave rather good retrieval of chlorophyll in the coastal areas (MNB of 19% and RMS of 28%). In the open Baltic Sea chlorophyll retrieval gave a MNB of 34% and RMS of 70%, which may be due to the considerable patchiness caused by cyanobacterial blooms. The results presented here indicate that with the MERIS mission, ESA and co- workers are in the process of solving some of the main issues regarding the remote sensing of coastal waters: spatial resolution; land-water adjacency effects; improved level 2 product retrieval in the Baltic Sea, i.e. the retrieval of spectral reflectance and of the water quality products TSM and chlorophyll.
Źródło:
Oceanologia; 2010, 52, 2; 211-236
0078-3234
Pojawia się w:
Oceanologia
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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