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  • 1
    In: Archives of Environmental Protection, Polish Academy of Sciences Chancellery
    Abstract: The continuous process of urbanization and climate change has led to severe urban heat island (UHI) effects. Constructing parks with cooling capabilities is considered an effective measure to alleviate UHI effects. However, most studies only quantify the cooling effect from a maximum value perspective, lacking a measure of temperature diffusion in space. This study combines the perspectives of maximum value and accumulation to define a cold island index, quantifying the cooling effect of 40 urban parks in the main urban area of Xi'an city. The results show that, on average, urban parks can reduce the surrounding environment by approximately 2.3℃, with a cooling range of about 127.1ha, which is three times the park area. Different factors drive the measurement of the cooling effect using different cold island indexes, but all indexes are highly correlated with green space area. There are significant differences in the cooling effect among different types of parks, and overall, ecological parks have the best cooling effect. The directional spread of internal cold islands in parks is most related to park shape, while external spread is related to surrounding green spaces. The research results have practical value in the construction of parks with cooling effects and the sustainable development of cities in urban planning processes..
    Type of Medium: Online Resource
    ISSN: 2083-4772 , 2083-4810
    Language: Polish
    Publisher: Polish Academy of Sciences Chancellery
    Publication Date: 2024
    detail.hit.zdb_id: 2812078-4
    detail.hit.zdb_id: 2116730-8
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  • 2
    Online Resource
    Online Resource
    Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne ; 2020
    In:  Eksploatacja i Niezawodność – Maintenance and Reliability Vol. 22, No. 2 ( 2020-6-30), p. 221-231
    In: Eksploatacja i Niezawodność – Maintenance and Reliability, Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne, Vol. 22, No. 2 ( 2020-6-30), p. 221-231
    Abstract: The reliability analysis of MEMS gyroscope under long-term operating condition has become an urgent requirement with the enlargement of its application scope and the requirement of good durability. In this study we propose a lifetime prediction method for MEMS gyroscope based on accelerated degradation tests (ADTs) and acceleration factor model. Firstly, the degradation characteristic (bias instability) is extracted based on Allan variance. The effect of temperature stress on the degradation rate of bias instability is analyzed, and it shows that the degradation rate of bias instability would increase with the increase of the temperature. Secondly, the ADTs of MEMS gyroscope are designed and conducted, the degradation model of MEMS gyroscope is established based on the output voltage of MEMS gyroscope and Allan variance. Finally, the acceleration factor model of MEMS gyroscope under temperature stress is derived, and the lifetime of the MEMS gyroscope is predicted based on two group tests data under high stress level. The results show that the lifetime calculated by the acceleration factor model and mean lifetime under high stress levels is close to the mean lifetime calculated by the linear equation at normal temperature stress.
    Type of Medium: Online Resource
    ISSN: 1507-2711 , 2956-3860
    Uniform Title: Metoda prognozowania czasu pracy żyroskopu MEMS na podstawie testu przyspieszonej degradacji i modelu współczynnika przyspieszenia
    Language: Polish
    Publisher: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
    Publication Date: 2020
    detail.hit.zdb_id: 2257067-6
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  • 3
    Online Resource
    Online Resource
    Polish Academy of Sciences Chancellery ; 2023
    In:  Metrology and Measurement Systems
    In: Metrology and Measurement Systems, Polish Academy of Sciences Chancellery
    Type of Medium: Online Resource
    ISSN: 2300-1941
    Language: Polish
    Publisher: Polish Academy of Sciences Chancellery
    Publication Date: 2023
    detail.hit.zdb_id: 2677356-9
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