阅读说明：本技术 一种预测大气环境中臭氧浓度的方法 (Method for predicting ozone concentration in atmospheric environment ) 是由 王雨池 张萍 张新泉 于 2020-05-28 设计创作，主要内容包括：本发明公开了一种预测大气环境中臭氧浓度的方法,包括第一步,获取温度、湿度、光照强度、风速数据,第二步,根据第一步检测温度、湿度、光照强度、风速数据通过数学式1计算生成臭氧浓度。本发明方法计算所得臭氧浓度的预测值与实际测量值的变化趋势相同,且预测值与实际测量值偏差较小,为此本发明方法能够通过温度、湿度、光照强度、风速计算未来的臭氧浓度,从而提前采取有效措施阻止臭氧浓度超标。(The invention discloses a method for predicting ozone concentration in atmospheric environment, which comprises the first step of acquiring temperature, humidity, illumination intensity and wind speed data, and the second step of calculating the ozone concentration by a mathematical formula 1 according to the temperature, humidity, illumination intensity and wind speed data detected in the first step. The predicted value of the ozone concentration calculated by the method is the same as the change trend of the actual measured value, and the deviation between the predicted value and the actual measured value is small, so that the method can calculate the future ozone concentration through temperature, humidity, illumination intensity and wind speed, thereby taking effective measures in advance to prevent the ozone concentration from exceeding the standard.)

1. A method of predicting ozone concentration in an atmospheric environment, comprising the steps of:

firstly, acquiring data of temperature, humidity, illumination intensity and wind speed,

secondly, calculating the ozone concentration according to the temperature, humidity, illumination intensity and wind speed data obtained in the first step by a mathematical formula 1,

mathematical formula 1

V=Ax+By-Cz-Dm

Wherein the content of the first and second substances,

v generating an ozone concentration value in the atmospheric environment,

x represents the temperature, a temperature contribution coefficient,

y represents the illumination intensity, B the illumination intensity contribution coefficient,

z represents the humidity, the humidity contribution coefficient,

m represents the wind speed, D the wind speed contribution factor.

2. The method of claim 1, wherein the method further comprises: the illumination intensity y is the illumination intensity value at the current moment.

3. The method of claim 1, wherein the method further comprises: and the temperature x is a temperature value N hours before the current moment.

4. A method of predicting ozone concentration in an atmospheric environment as claimed in any one of claims 1 to 3 wherein: and the humidity z and the wind speed M are values after M hours at the current moment.

Technical Field

The invention relates to a method for predicting ozone concentration in atmospheric environment.

Background

Ozone is a bluish gas with a special odor in the atmosphere. The gas not only can strongly absorb ultraviolet rays, but also has stronger oxidizability. Ozone affects the earth's ecosystem differently depending on the height from the ground. Ozone in the stratosphere can absorb ultraviolet rays, so that the earth ecosystem is protected; ozone, however, is present in the troposphere and can irritate the eyes and respiratory system. Short-term effects of ozone include adverse reactions such as cough, chest pain, nausea and the like, and long-term exposure to ozone can damage lung functions and increase the death rate of people. In addition, ozone can also cause crop losses. Especially in summer, the ozone concentration in most areas of China seriously exceeds the standard. At present, no method for predicting the concentration value of the odor exists, so that effective measures cannot be taken in advance to prevent the concentration of the ozone from exceeding the standard.

Disclosure of Invention

In order to solve the problems, the technical scheme adopted by the invention is as follows: a method of predicting ozone concentration in an atmospheric environment, comprising the steps of:

firstly, acquiring data of temperature, humidity, illumination intensity and wind speed,

secondly, calculating the ozone concentration according to the temperature, humidity, illumination intensity and wind speed data obtained in the first step by a mathematical formula 1,

mathematical formula 1

V=Ax+By-Cz-Dm

Wherein the content of the first and second substances,

v the concentration of ozone generated in the atmospheric environment,

x represents the temperature, a temperature contribution coefficient,

y represents the illumination intensity, B the illumination intensity contribution coefficient,

z represents the humidity, the humidity contribution coefficient,

m represents wind speed, D is wind speed contribution coefficient

Preferably, the illumination intensity y is an illumination intensity value at the current moment;

preferably, the temperature x is a temperature value N hours before the current time;

preferably, the humidity z and the wind speed M are humidity and wind speed values after M hours at the current moment.

Drawings

FIG. 1 is a graph of the present invention predicting change in odor concentration for a region;

fig. 2 is a graph for predicting the change of odor concentration in another area according to the present invention.

Detailed Description

To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

Example 1

First, it should be noted that the total amount of ozone-forming substances discharged is generally constant, and the amount of ozone generated by these substances is mainly influenced by meteorological factors.

For understanding the present invention, the present embodiment will be described by taking the case of predicting the ozone concentration two hours after the current time, in combination with the prediction of the actual conditions of the area.

A method of predicting ozone concentration in an atmospheric environment, comprising the steps of:

firstly, acquiring temperature, humidity, illumination intensity and wind speed data. In this embodiment, an environment detection device is installed in an area to be predicted, where the environment detection device includes a temperature sensor, a humidity sensor, an illumination intensity sensor, and a wind speed sensor, and the environment detection device is a prior art, for example, one of the industrial detectors disclosed in chinese patent CN20694504U is disclosed, and therefore, details thereof are not repeated here. Of course, the temperature, humidity, illumination intensity and wind speed data can also be obtained from data issued by a meteorological bureau.

Secondly, calculating the temperature, humidity, illumination intensity and wind speed data acquired in the first step by a mathematical formula 1 to generate ozone concentration,

mathematical formula 1

V=Ax+By-Cz-Dm

Wherein the content of the first and second substances,

v the concentration of ozone generated in the atmospheric environment,

x represents the temperature, a temperature contribution coefficient,

y represents the illumination intensity, B the illumination intensity contribution coefficient,

z represents the humidity, the humidity contribution coefficient,

m represents the wind speed, D the wind speed contribution factor,

preferably, the illumination intensity y is an illumination intensity value at the current moment.

Preferably, the temperature is a temperature value x 2 hours before the current time, and N may be a different value considering the time when the temperature affects local odor generation, and in this implementation, the temperature x is a temperature value 2 hours before the current time in combination with the actual condition of the prediction region.

Preferably, the humidity z and the wind speed M are data after the current time M, and considering that the time M of the influence of the temperature on the local odor may be different values, M is 2 in this embodiment in combination with the actual situation of the predicted area. As shown in fig. 1, it can be seen that the change of the predicted ozone concentration is the same as the change of the actual measurement value, and the deviation between the predicted value and the actual measurement value is small.

Example 2

The present embodiment is described with reference to another example of predicting the actual condition of the area, taking the case of predicting the ozone concentration one hour after the current time as an example.

Preferably, the temperature is a temperature value x of N hours at the current time, and considering that the time N of the influence of the temperature on the local odor generation may be different values, in this embodiment, the temperature x is a temperature value 3 hours before the current time in combination with the actual condition of the prediction region.

Preferably, the humidity z and the wind speed M are data M hours after the current time, and M may have different values in consideration of the time when the temperature affects the local odor generation. In the present embodiment, M is 1 in conjunction with the actual situation of the predicted area. As shown in fig. 2, the change of the odor concentration is predicted, and it can be seen that the change trend of the predicted value of the ozone concentration calculated by the method of the present invention is the same as that of the actual measurement value, and the deviation between the predicted value and the actual measurement value is small.

In addition, it should be noted that the values of N and M must be selected according to the actual situation of the specific predicted area.

In conclusion, the beneficial effects of the invention are as follows: the predicted value of the ozone concentration calculated by the method is the same as the change trend of the actual measured value, and the deviation between the predicted value and the actual measured value is small, so that the method can calculate the future ozone concentration through temperature, humidity, illumination intensity and wind speed, thereby taking effective measures in advance to prevent the ozone concentration from exceeding the standard.

None of the specific details described herein are prior art or can be learned by the practice of the invention, and it is to be understood that other modifications and variations will become apparent to those skilled in the art from the foregoing description, or may be learned by practice of the invention, and all such modifications and variations are intended to be included within the scope of the appended claims.