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Surface temperature prediction method considering spatial dependency and heterogeneity

A technology of surface temperature and prediction method, which is applied in the field of surface temperature prediction considering spatial dependence and heterogeneity, can solve the problem of not considering local characteristics of surface temperature, etc., and achieve the effect of high precision

Pending Publication Date: 2022-03-11
TIANJIN UNIV
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Problems solved by technology

The spatial autoregressive model is used to solve the spatial dependence, but it is still a global regression model that does not consider the local characteristics of the surface temperature

Method used

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  • Surface temperature prediction method considering spatial dependency and heterogeneity
  • Surface temperature prediction method considering spatial dependency and heterogeneity
  • Surface temperature prediction method considering spatial dependency and heterogeneity

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Embodiment 1

[0037] refer to figure 1 , this embodiment provides a method for predicting land surface temperature considering spatial dependence and heterogeneity, including steps:

[0038] S1: Collect the urban element data and Landsat8 remote sensing image data needed to establish the regression relationship;

[0039] S2: Use the atmospheric correction method to perform temperature inversion on remote sensing images to obtain urban surface temperature data;

[0040] S3: Use the ArcGIS regional statistical tool to count the surface temperature of each analysis unit and the factors affecting the heat island effect;

[0041] S4: Test the significance and multicollinearity of each influencing factor to ensure that the influencing factors participating in the modeling are significant and there is no multicollinearity;

[0042] S5: Use Moran’s I to judge the spatial autocorrelation of surface temperature; if there is spatial autocorrelation, proceed to the following steps, if not, terminate ...

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Abstract

The invention belongs to the field of heat island effect, and relates to a surface temperature prediction method considering spatial dependency and heterogeneity. The data mainly comprise surface temperature data. The influence mechanism of the influence factors on the surface temperature is mined by adopting the spatial quantile regression model, and then the surface temperature is predicted. According to the method, the heterogeneity influence of influence factors on the surface temperature is considered while the spatial dependency of the surface temperature is considered, the surface temperature is predicted with higher precision, and theoretical support is provided for efficient treatment of the heat island effect.

Description

technical field [0001] The invention belongs to the field of heat island effect, and relates to a method for predicting surface temperature considering space dependence and heterogeneity. Background technique [0002] The urban heat island effect, that is, the phenomenon that the urban temperature or surface temperature in the urban area is significantly higher than that in the suburbs. While changing the local climate, the heat island effect seriously threatens the lives of urban residents. It is estimated that by 2100, the average urban temperature may rise by 4°C, which is far from the global temperature rise limit (no more than 1.5°C) stipulated in the Paris Agreement, forcing us to take immediate, rapid, and large-scale cooling measures. Therefore, how to analyze the formation mechanism of heat island more comprehensively, and predict the spatial distribution and intensity of temperature with high precision are very important. [0003] The first law of geography propo...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06F30/20
CPCG06Q10/04G06F30/20Y02A30/60
Inventor 尤学一谷玉莉
Owner TIANJIN UNIV
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