Model study of relationship between local temperature and artificial heat release

Abstract

In recent decades, it presents a more obvious temperature rise in urban area along with the global warming. City is generally the center of human society, so the study on urban temperature variation will be helpful to our city development planning that is to reduce urban warming. The study is also helpful to a more comprehensive understanding of the causes of climate warming, which could provide a theoretical support to the government to make more reasonable international energy policies. Local temperature rise has different mechanisms with the global warming: large quantities of artificial heat release from the energy consumption will stay in urban areas for a period of time, which will inevitably influence the short-term trend of the local temperature change. Based on that view, a structural thermodynamic model was established in this paper to investigate the effect of the artificial heat release on the urban local temperatures. In the model, the city environment was divided into Human, Local, Outer three blocks, and then the heat and temperatures of the blocks were analyzed based on the laws of thermodynamics. After that, the effect of artificial heat release in Human block on the local temperatures was clarified. The model shows that the artificial heat release has an approximately linearly promoting effect on the local temperature rise, and the more the heat release is, the stronger the effect is. In addition, a validation of that model was carried out based on some national statistical data. The data of temperatures and artificial heat release of some provincial capitals of China were analyzed with linear regression extrapolation method and Pearson correlation statistical method. The results show that in most capital cities, the temperature variations basically depend on the artificial heat release in a linear relationship, which usually becomes more apparent with the increase of the artificial heat release in both spatial and temporal dimensions. The conclusions of the statistics have good conformity with the model and the rationality of the model is verified.