Method for predicting height of urban atmospheric mixed layer

A technology of urban atmosphere and prediction method, which is applied in the directions of altitude/horizontal measurement, measuring device, surveying and navigation, etc., which can solve the problem that the application value of the height of the mixed layer of the atmosphere has not been fully utilized and promoted, the model calculation process is complicated, and the model theory is not perfect. Mature and other issues, to achieve convenient and rapid estimation and prediction, reduce research costs, and achieve high accuracy

Inactive Publication Date: 2011-09-07
CENT SOUTH UNIV
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Problems solved by technology

These parametric models are hypothetical models of physics or mechanism. Although the physical meaning is clear, there are two problems in practical application: on the one hand, the model theory is not yet mature, and the models are mostly empirical expressions with complex calculation processes and poor accuracy; On the one hand, the theoretical model requires some unconventional

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  • Method for predicting height of urban atmospheric mixed layer
  • Method for predicting height of urban atmospheric mixed layer
  • Method for predicting height of urban atmospheric mixed layer

Examples

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[0032] Example 1:

[0033] Taking Changsha City as an example, the establishment, implementation and prediction process of the above regression model (that is, the aforementioned MLH calculation formula) are explained in detail.

[0034] First, get historical data. On the one hand, from the United States National Oceanic and Atmospheric Administration NOAA (http: / / www.noaa.gov / ) download the atmospheric mixed layer height data of Changsha City for the past five years (2005~2009) 24 hours a day (my country has not yet disclosed the urban mixed layer height Data), on the other hand, the basic meteorological parameter data of Changsha City in the past five years (2005-2009) is obtained from the meteorological data publicly published by the international meteorological website (http: / / www.wunderground.com / ).

[0035] Secondly, based on the above historical data, use SPSS (Chinese: Statistical Products and Service Solutions) statistical analysis software (any statistical software has this...

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Abstract

The invention discloses a method for predicting the height of an urban atmospheric mixed layer, and is characterized by acquiring current meteorological data of a certain city, wherein the meteorological data is an air temperature T, an atmospheric pressure P, a solar radiation value SR, an air humidity RH, a wind speed WS and a dew point temperature DT; and calculating a predicted value of the height of the atmospheric mixed layer of the city according to a formula that MLH=a1T+a2T+a3SR+a4RH+a5WS+a6DT, wherein the MLH in the formula is the height of the atmospheric mixed layer; and the a1 to a6 in the formula are regression coefficients which are derived from historical meteorological data and historical atmospheric mixed layer height through a statistical multiple linear regression method. By the method for predicting the height of the urban atmospheric mixed layer, a height value of the urban atmospheric mixed layer can be simply, quickly and accurately predicted.

Description

technical field [0001] The invention belongs to the technical field of urban meteorology and urban environmental air pollution monitoring and control, and relates to a method for predicting the height of an urban atmospheric mixed layer. Background technique [0002] In recent years, the urban heat island effect and air pollution have aroused people's high attention. On the one hand, it is related to the heat source and pollution source generated by urban activities, and on the other hand, it is closely related to the meteorological conditions of the city. In particular, the atmospheric boundary layer between the urban ground and the free atmosphere above determines the exchange of all substances (pollutants) and energy (heat) between the earth's surface and the surrounding atmosphere, and is the most important cause of urban heat island effect and air pollution. Key weather conditions and factors. [0003] The most important structural feature of the atmospheric boundary l...

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Application Information

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IPC IPC(8): G01C5/06
Inventor 邓启红路婵贺广兴黄柏良石灵芝
Owner CENT SOUTH UNIV
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