Friday, March 29, 2019

Temperature, Humidity and Air Quality Index Relationship

Temperature, humidness and Air Quality Index RelationshipThe human relationship surrounded by temperature and humidity and agate line quality index in Suzhou and JinanLixiu. Zhang in class deuce. (Student ID 1514401038)Soochow University. College of accomplishment and engineering scienceAbstractThis is a study about the relationship surrounded by temperature and humidity and striving quality in Suzhou and Jinan. A hypothesis was organize that loftyer temperature and humidity can result in better air quality. The information was collected daily from whitethorn 12th to May 30th. victimization simple linear regression model, the study effectuate no large correlation between these three variables in either Suzhou or Jinan. initiation Air pollution today is becoming an increasingly serious turn up in China. As incomes rise and priorities shift away from only move money to ensuring a better life, environmental aw atomic number 18ness is besides soaring. So more and more attention has been paid to what affects air quality. This study move to find the relationship between air quality and weather elementshumidity and temperature. Considering that high near-ground temperature will accelerate vertical air convection, which will dramatically invalidate near-ground pollutants, a hypothesis was formed that the higher the temperature, the better the air quality. some former(a) hypothesis was that higher humidity will cause better air quality, which is based on the fact that droplets in the air can heighten solid set forthicles like PM 2.5 to reduce air suspension.This study assessed the issue of humidity and temperature on air quality, in which humidity refers to relative humidity, show as a percent. The unit of temperature is . AQI is short of Air Quality Index, which is calculate from five major air pollutants O3, CO, SO2, NO2, and PM2.5. Higher AQI value means a greater level of air pollution and greater health concern,which is shown as followsAQ I0-5051-100101-150151-200201-300Levels of air pollutiongoodmoderateSlightly-pollutedModerately-pollutedHeavily-pollutedSuzhou and Jinan were involved in this study. Suzhou, a major city located in southeastern Jiangsu Province, has a monsoon-influenced humid subtropical climate . As the capital of Shandong Province, Jinan has a warm restrained continental monsoon climate with four distinct seasons. These twain cities were chosen because they arrive similar climate except Suzhou is more humid. Thus they can be compared to obtain more reliable data.Sampling methods and schedule of data accrual are presented in Method section. Tables and graphs are showed in Results part. Discussion part is the explanation of the data. A summary with recommendation of improvement follows in shutting part.MethodsThe data, containing the value of humidity, temperature and AQI, were collected daily at 3PM-4PM from May 12th to May 30th. To make it more representative and reliable, the data was colle cted in two cities and from two different sources www.nmc.cn ( the website of National Meteorological Center ) and Moji APP. The final data was collected after comparing these two sources.ResultsThe data contains three variables from two cities, and is 19 days in total, from May 12th to May 30th. The data collection efforts was effectively carried out, and missing values were minimal (below 5%). Graphs and tables are shown as follows watch 1 AQI VS temperature in Suzhou figure out 2 AQI VS temperature in Jinanfigure 3 AQI VS humidity in Suzhoufigure 4 AQI VS humidity in JinanBased on the analysis of simple linear regression, the relationship between variables are revealed by regression equations, which are shown in the figures. R is also presented to show how puff up the points fits. Note that figure 1 fits well except points (19,107) and (28,107), which is probably due to the low humidity on those two days. The peak value of AQI appeared in May 25th in Suzhou with 28 and humidity of 75%. For Jinan, the peak value lies in May 27th, with 18 and humidity of 71%.Discussion Figure 1 presents the relationship between temperature and AQI in Suzhou. Though not significant, this figure does suggest a positivistic correlation between these two variables. In other words, the higher the temperature, the worse the air quality, which contradicts the first hypothesis higher temperature causes better air quality., As shown, most of the points fit well except for the two outliers as mentioned in last part, which pull down the value of R. While figure 2 shows no correlation between temperature and AQI in Jinan with R little than 0.1. Maybe this is because the human factor is more significant in Jinan .As for humidity, there are no correlation in either figure 3 or figure 4, with R=0.13012 in Suzhou and 0.00383 in Jinan. As humidity gets greater, the value of AQI hardly changes or changes irregularly, which suggests that the second hypothesis is also wrong. There is no rel ationship between humidity and AQI.ConclusionTo conclude, theres no significant relationship between temperature and AQI. Although AQI turns higher as temperature goes up in Suzhou, the correlation is not so significant. Neither in Suzhou nor Jinan were the relationship found between humidity and AQI. This is because air quality is the result of combined effect of multi-factors, so its very hard to figure out the effects of a single variable.Limitations exist because the size of sample is too small. Bias is realizable as the data was collected in two big cities, in which human factors are very significant, and thus rural area and other small cities are excluded in this inquiry. I recommend that further research should collect abundant data and choose more representative cities or countries. Furthermore, if conditions allow, future researcher had better singularize the variable when analyzing how a circumstantial variable affect air quality.ReferencesThe Website of National Meteo rological Center. ( May, 2016). http//www.nmc.cn/.Moji Weather.(May, 2016). Moji Fengyun science and technology company.Appendix original data

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