Ghanghermeh Abdolazim, Roshan Gholamreza, Orosa José A, Costa Ángel M
Department of Geography, Golestan University, ShahidBeheshti, 49138-15759 Gorgan, Iran.
Department of Navigation Science and Marine Engineering, Energy and Propulsion Research Group, University of A Coruña, Paseo de Ronda 51, 15011 A Coruña, Spain.
Entropy (Basel). 2018 Dec 24;21(1):13. doi: 10.3390/e21010013.
Urban microclimate patterns can play a great role for the allocation and management of cooling and heating energy sources, urban design and architecture, and urban heat island control. Therefore, the present study intends to investigate the variability of spatial and temporal entropy of the Effective Temperature index (ET) for the two basic periods (1971-2010) and the future (2011-2050) in Tehran to determine how the variability degree of the entropy values of the abovementioned bioclimatic would be, based on global warming and future climate change. ArcGIS software and geostatistical methods were used to show the Spatial and Temporal variations of the microclimate pattern in Tehran. However, due to global warming the temperature difference between the different areas of the study has declined, which is believed to reduce the abnormalities and more orderly between the data spatially and over time. It is observed that the lowest values of the Shannon entropy occurred in the last two decades, from 2030 to 2040, and the other in 2040-2050. Because, based on global warming, dominant areas have increased temperature, and the difference in temperature is reduced daily and the temperature difference between the zones of different areas is lower. The results of this study show a decrease in the coefficient of the Shannon entropy of effective temperature for future decades in Tehran. This can be due to the reduction of temperature differences between different regions. However, based on the urban-climate perspective, there is no positive view of this process. Because reducing the urban temperature difference means reducing the local pressure difference as well as reducing local winds. This is a factor that can effective, though limited, in the movement of stagnant urban air and reduction of thermal budget and thermal stress of the city.
城市微气候模式对冷暖能源的分配与管理、城市设计与建筑以及城市热岛控制都能起到重要作用。因此，本研究旨在调查德黑兰两个基本时期（1971 - 2010年）以及未来（2011 - 2050年）有效温度指数（ET）的时空熵变异性，以确定基于全球变暖和未来气候变化上述生物气候熵值的变异程度如何。使用ArcGIS软件和地统计方法来展示德黑兰微气候模式的时空变化。然而，由于全球变暖，研究不同区域之间的温差有所下降，据信这会减少数据在空间和时间上的异常性并使其更有序。据观察，香农熵的最低值出现在过去二十年，即2030年至2040年，以及2040年至2050年。因为基于全球变暖，主要区域温度升高，日温差减小，不同区域之间的温差也变小。本研究结果表明，德黑兰未来几十年有效温度的香农熵系数会降低。这可能是由于不同区域之间温差减小所致。然而，从城市气候角度来看，对这一过程并无积极看法。因为城市温差减小意味着局部压差减小以及局部风减弱。这是一个虽有限但能对城市停滞空气的流动以及城市热收支和热应力的降低产生有效作用的因素。
