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As driver, we want to reduce the time traveling so we can decrease the amount gasoline, pollution. And improve peoples health by using some science, data provided for satellites.

Clue Words: Pollution, traffic jam, analyse.

Introduction

This project has the purpose of lowing the pollution produced by traffic jam at the road sealing. We search and analyze the emissions of CO2 and NO2 and the consequences for health. In this project we propose to send traffic data at road sealing to the monitoring station, from here the information is going directly to the traffic lights, so we can make more efficient the automobile roads. The benefits of this project are: reduce pollution and emissions of NO2 and CO2 caused by traffic jam to make an efficient translation time to reduce the amount gasoline reduce greenhouse effect reduce asthma and bronchitis, decrease of pulmonary capacity, allergic process, eye irritation, irritation on the mucous membranes Efficient production in companies, be?cause if we arrive in less time to works, people will be less stressed and their efficiency will grow up

Development

In an ideal case we would like to obtain this data form the satellite information, but it can´t be possible. So we search data form other resources.

First of all we started analyzing the gas

components of the pollution in Mexico City.

Figure 1: In this graph we can observe the increases of motorcycles, cars, vans, trucks, buses, cargo truck.

Introducing the principals components of the elements that are generated by cars, we decided to use the information of NO2 and CO2 to analyze the affection caused by road sealing. After that we do the data analyze for the region. We based our data on the version “V4.0of the NASA standard hydrogen dioxide pro?duct from the Ozone Monitoring Instrument (OMI, on the aura satellite.”[1] to know the importance of proposing an efficient transit model. This information is obtained by the distribution weather and waving radiance, this new air mass factor AMFs revived up to 50 % in height polluted areas. 

Figure 3: NO2 column (from the surface to the top of the tropopause) levels (in mol. cm2 ) over Mexico City during 2019.

Figure 4: NO2 column (from the surface to the top of the tropopause) levels (in mol. cm2 ) over Mexico City during 2020.

Figure 5: NO2 column (from the surface to the top of the tropopause) levels (in mol. cm2 ) over Mexico City during 2021.

Figure 6: CO2 column (from the surface to the top of the tropopause) levels (in mol. [cm2 ) over Mexico City during 2010.

Figure 7: CO2 column (from the surface to the top of the tropopause) levels (in mol. [cm2 ) over Mexico City during 2010.

Ones we know this emissions we can use GPS data to obtain the most crowded place, send the information to the monitoring station with our program sync up the traffic lights. This will improve the vehicle influx, and will diminish the production of NO2 and CO2. Notice that by the moment we don’t have actualized data for the CO2. But we can do the comparison between 2010 and 2011.

Talking about the program we have a system that is connected to the traffic lights of Mexico city, and a monitoring system to send the information to the users at their apps to know the time that they are going to stay in traffic jam. By this way we are going to size the traffic flux in streets and avenues, so we can map to the same app the critical points and change the flux in zones that are near the chaos points to achieve a better fluid flux in alternative avenues and streets. This help us to solve traffic jam problems in our city.

As a second point, knowing that time that a car last stuck in traffic, and knowing that the time average generates 143 grams of CO2 per kilometre, we could evaluate level pollution that produce with this project, comparing our new data versus data of lasts years.

Analysis and conclusions

We know that the months that have more wind are January to April, and less wind. Talking about NO2 we observe that during rainy time this concentration are founded in grater amount. Its important to mention that the values obtained during 2019 were higher, but during the quarantine the production of NO2 lows its values, but it still have health impact. Because it still having a lot of percent. An the important fact is the wind in each period. With this we have variations in the concentrations of this competent. This emissions are produced by vehicle fleet increases this numbers. Mexico is one of the countries that produce more CO2, is the number one in Latin America, according to Global Carbon Atlas. From the obtained data we can see that the emission of the corresponding years of 2010 and 2011 the data show the percent of CO2 that the city produces. Attending this needs we develop a program that solve the requirements of the community and will low the emotions per year. With this project we pretend to make a sustainability system of automobile roads, with the finality of having a better quality of life and left a better footprint in this world. That is the only one we have.

In this protect we use Space Agency data by GPS to provide traffic information of our City, mapping data to the monitory station and sending data directly to the traffic lights.

This mechanism would reduce the road sealing, because this program will give priority to the side that has more vehicle influx.

With this we’re going to reduce large amount of CO2, HC, Nox. The road sealing produces over 5% of total emission of the total gases of greenhouse effect. This is up to 31 million tons of CO2 according to Forbes.

Space app experience is an incredible moment to be in contact whit a huge system. To have access of all the information that we can use for different projects and ideas. A little bit stressed, excited. We feel we have few time to do what we wish to do . We feel we have an excellent investigating work.

First of all we we learn to obtain data information from Earth Data Giovanni. Knowledge about the origin of the data, and how to improve or diminish polluting factors. All the information we need to do proposals to improve our environment or society we can find it right here. The correct communication is essential to the best. We learned that we have a lot of pollution in Mexico City.

We focus our project in the pollutant mayoress that generate the traffic jam. With this we pretend to diminish this emission.

We want to apply science and technology to a huge world problem, “pollution”. Using the information provided by satellites. Working with computing program to know where are the places with the most car affluence. Its interesting to giver a solution for a project to help the society. The Use of drones could be an interesting idea to send the information values.

We focus our project in the pollutant mayoress that generate the traffic jam. With this we pretend to diminish this emission.

We think we could do more but it was an excellent participation.

We focus our attention in the principal problem to solve. Even we haven’t the numerical data, did graphic approximations of the values we were searching for. To get up to the main idea project.

We propose a different way to solve an important risk that affects our country .

First of all thanks God we were available to have an excellent work team.

Parents and of course NASA that organize this challenges to test data satellite for the benefit of the community.

To Armi, because she let me be part of the team a despitepe she dosen´t know me.

[1] Mishra, Manisha, Kulshrestha, U. C.. 2021. A Brief Review on Chan?ges in Air Pollution Scenario over South Asia during COVID-19 Lock?down. Aerosol Air Qual. Res.. Vol. 21, No. 4, pp. 200541-200541. DOI: 10.4209/aaqr.200541 ISSN: 2071-1409

[2] Zamorategui-Molina, A., Guti´errez?Ortega, N.L., Baltazar-Vera, J.C., Del Angel-Soto, J., Tirado-Torres, D. ´ (2021). Carbon Monoxide and Particu?late Matter Concentration inside the Road Tunnels of Guanajuato City, Me?xico. Aerosol Air Qual. Res. 21, 210039. https://doi.org/10.4209/aaqr.210039

[3] Lamsal, Lok N., Krotkov, Nickolay A., Vasilkov, Alexander, Marchen?ko, Sergey, Qin, Wenhan, Yang, Eun?Su, Fasnacht, Zachary, Joiner, Joanna, Choi, Sungyeon, Haffner, David, Swartz, William H., Fisher, Bradford, Bucsela, Eric. 2021. Ozone Monitoring Instru?ment (OMI) Aura nitrogen dioxide stan?dard product version 4.0 with improved surface and cloud treatments. Vol. 14, No. 1, pp. 455-479. DOI: 10.5194/amt?14-455-2021 ISSN: 1867-1381.

[4] INEGI datos Parque vehicular https://www.inegi.org.mx/temas/vehiculos

#amazing #proud #great team #lovingNASA #thanks for all #doingthebest #bestexperienceever #wedidit

This project has been submitted for consideration during the Judging process.