Method for forecasting urban heat island effect

An urban heat island effect and prediction method technology, applied in climate change adaptation, special data processing applications, instruments, etc., can solve problems such as difficulty in true and effective expansion, flat layout of urban heat islands, and difficulties in internal structure, etc. The effect of practical significance and high prediction accuracy

Active Publication Date: 2016-09-07
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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Problems solved by technology

The advantage of the conventional method is that the description and revelation of the urban heat island effect is simple and concise, but it is basically a point-scale or purely conceptual research, and it is difficult to extend it to the surface in a real and effective way. Therefore, it is very important for the research There are great difficulties in the flat layout and internal structure of urban heat islands

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  • Method for forecasting urban heat island effect
  • Method for forecasting urban heat island effect
  • Method for forecasting urban heat island effect

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specific Embodiment

[0088] Obtain the historical remote sensing data of city A, use the single-window algorithm to perform temperature inversion, obtain the urban surface temperature data, and classify the urban surface temperature data according to the mean parameter and standard deviation parameter, which are divided into low temperature zone, sub-medium temperature zone, medium temperature zone, Sub-high temperature zone, high temperature zone, and ultra-high temperature zone; statistics of various levels of heat island area data, heat island area data including location, area, and proportion of total area. The initial state matrix S(0) is calculated according to the heat island area data of each level in October 2009, and the current matrix S(K) is calculated according to the heat island area data of each level in October 2014. According to the relationship between S(0) and S(K) S(K)=S(0)P K , Get the transition matrix P. According to S(2K)=S(0)P 2K The relationship is calculated to get the da...

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Abstract

The invention discloses a method for forecasting urban heat island effect. The method includes the steps of performing temperature inversion for remote sensing image data using a single window algorithm to obtain urban surface temperature data; grading the urban surface temperature data according to mean parameters and standard deviation parameters; conducting statistics of heat island area data of different grades; and calculating an initial state matrix S(0) based on the heat island region data of different grades at the first moment, calculating a transition matrix P based on the heat island region data of different grades at the second moment and the initial state matrix S(0), and calculating the evolution state data of heat island regions in the subsequent required time based on the initial state matrix S(0) and the transition matrix P. The invention constructs the state transition matrix and the initial state matrix by utilizing the temperature inversion grading results, and forecasts the next evolution trend of the heat island based on Markov chain transition probabilities. The invention is high in forecasting accuracy and has a great practical significance.

Description

Technical field [0001] The invention relates to a remote sensing data processing method, in particular to a method for predicting urban heat island effect. Background technique [0002] The heat island effect means that when a city develops to a certain scale, the temperature of the city is significantly higher than that of the suburbs due to changes in the nature of the underlying surface of the city, air pollution, and artificial waste heat emissions, forming a phenomenon similar to high temperature islands. The underlying surface refers to the surface of the earth that is in direct contact with the lower layer of the atmosphere. It includes terrain, geology, soil, rivers and vegetation, etc., and is one of the important factors affecting climate. Since the day when the heat island effect was recorded in writing, many scientists have observed many large and small cities around the world. According to statistics, as of 2012, there are more than 1,000 cities of different sizes in...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG06F2219/10G16Z99/00Y02A30/60
Inventor 彭玲尤承增束安杨新源
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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