On April 8 2019, me and my group went to the Wenyu River again to test the PM 2.5. The weather wasn’t too cold and it was spring. The site changed and had a lot more flowers.
This is one of the areas we checked the PM 2.5
This is the The graph and it shows the data
I notice that the data shows that during March the AQI is the lowest with a below 50 AQI while in between November and January the AQI is the highest with 200 AQI.
Next time we collect data, I wonder if the AQI is going to increase or decrease.
On March 7th 2019 we went to the WenYu River which was pretty sunny to check the PM 2.5 of the area.
Photo Caption: This is on of the places where we checked PM 2.5 .
In March, the PM 2.5 lowered in all the areas as shown by banks being only 9 PM 2.5 while in Jan it was 14 PM 2.5
I notice that the data is lowering probably because of it getting closer to spring and people use less AC in spring.
Next time we collect data, I wonder if the data is going to increase or decrease because it depends on the day if it’s a high AQI day no matter what season it’s going to be high
On January 25 2019 our group went to the Wenyu River to check the PM 2.5 and then converted it into AQI
Photo Caption: The river bank part of the data collection. The area with the lowest AQI out of the 4 areas we went to.
In January, the AQI is the lowest AQI we have had out of all 4 of the data collection. For example our second lowest in September, the banks had 66 AQI while today in January the banks were only 55 AQI. This also is the case for all the other locations. I notice that the AQI is decreasing and then increasing in Fall and then decreasing again in Winter. Next time we collect data, I wonder if in February the AQI will increase and then in Spring if the AQI increases or decreases.
(Angel’s initial floor plan)
(Max’s initial floor plan)
(Billy’s floor plan)
(Our Group Table)
(Our Tinkercad floor plan)
The proofing of the plan
As a collaborator, I felt that I kind of shared my ideas and we had some different ideas. I am happy with the final design because it had some of our ideas in it even though some were left out. One thing I noticed our group did well when working together was that we had ideas for the rooms and stuff. One challenge we had was that the codes kept expiring so some people did not really do much in the floor plan.
My design is repeatable by another person because other people can see the 4 different eggs in different liquid and what the membrane might look like. I realised that the numbers on the eggs could have been a problem because if we got the eggs in the wrong container we would have got the wrong results for the egg because we can put egg 3 in egg 4 and the results for egg 3 would not match. An improvement that I would make if I would be doing this investigation is doing it with less eggs because with less amount of liquid we had basically gotten the same results and using the original amount of liquid. Additional information that I would like to collect to have me understand more about this phenomenon is to see if the time the leg is in the liquid affects the result.
These 2 models connect because they both kind of show the eggs in the liquid and what they do. When I first watch the phenomenon, I thought that with less liquid it would get less small or less large. Key evidence indicated that I would not get less small or less large if we put in less liquid. Now, I believe that the egg is getting water inside and losing the matter in the corn syrup.
The egg is kind of like a cell because the nucleus is like the yolk the shell is the cell membrane and the egg white is the cytoplasm. The membrane is the one in the Final Model and it is like the one that keeps things that are too large out.
Data Table 2
Data Table 1
These are the Data Tables and Graphic
Today on November 20th 2018, me and my group went to the Wenyu River for a field study. The reason for this trip was to check the PM 2.5 of 4 areas around the River: The river bank, near the metro, in the area with a lot of trees and near the road. Then we will change the PM 2.5 into AQI.
This is one of our sites, the river bank. This is the area with the lowest AQI in this field study.It has an AQI of 191 and I think that is because the river is farther away from the cars and metro.
In November the AQI increase in every area and increase the most since the last field study in the metro area. I noticed that the AQI is always increasing and the road always has a pretty high AQI. The river bank doesn’t have that high AQI and the trees also don’t have that high of AQI. In January we will return to the site again and I wonder why the river bank does not have that high of AQI and why the trees have higher AQI while trees create oxygen.
An area we collected data from. The place is near trees and has the highest PM 2.5. This area has the highest PM2.5 which is 62. The first time, the trees did not have that much which was 19 PM2.5.
A wondering is why the Trees have the most AQI while trees can provide oxygen.
I feel that my strongest thing is research because I maybe research things. By June I want to become awesome in communication because I don’t talk a lot in small groups.