Difference between revisions of "ZL-Conclusion"

From Visual Analytics and Applications
Jump to navigation Jump to search
 
(One intermediate revision by the same user not shown)
Line 21: Line 21:
 
| style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#baccd9; text-align:center;" width="20%" |  
 
| style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#baccd9; text-align:center;" width="20%" |  
 
;
 
;
−
[[ZL-Conclusion| <font color="#FFFFFF">'''Insight'''</font>]]
+
[[ZL-Insight| <font color="#FFFFFF">'''Insight'''</font>]]
  
 
| style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#baccd9; text-align:center;" width="20%" |  
 
| style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#baccd9; text-align:center;" width="20%" |  
Line 35: Line 35:
  
  
−
<font size="3"><font color="#000000">'''Trend Analysis'''</font></font>
+
<big>From the discussion above, I conclude several points:</big>
  
  
−
To get the timely information, I set the time range from 2008 to 2016. Then I check the trend of each measure. There are several types of trend:
+
*Watershed integrity influence the water quality, the pollutant content from upstream will flow down to the downstream.
−
* '''Fallen off''': according to the chart below, during 2008 to 2016, the level of Chlorodinine is high in 2015; Boonsri, Busarakhan, Chai, Kannika, Kohsoom, Sakda and Somchair were involved. However, in 2016, the level of Chlorodinine were sudden drop. No matter the average value or the sum value, were both decrease a lot.  
 
  
−
[[Image:ZL-11.png|580px | Center]]
+
*Pollutant content is hard to decomposed by water, since during the flowing down to the downstream, the pollution level is still high.
  
 +
*Scientist should pay more attention to the sampling site where has the measure level higher than the upper limit, especially in recent years.
  
−
* '''Soar up''': This type of trend means in one year the measure level was jumped up. As the chart below, in Boonsri, Busarakhan, Chai, Kannika, Khosoom, Sakda, Somchair and Tansanee, the level of Total Hardness was sudden increased in 2014 and 2015.
+
*The possible reasons of the change of trend of each measure are:
  
−
 
+
# Climatical cause may lead to the measure level drop down fast in one month or quarter.
−
[[Image:ZL-12.png|580px | Center]]
+
# If one or several measures sudden rise a lot in the same period, maybe there is a factory drain sewage into the water.
−
 
 
−
 
 
−
Another example of Soar Up is '''Petroleum Hydrocarbons''':
 
−
 
 
−
[[Image:ZL-13.png|580px | Center]]
 
−
 
 
−
 
 
−
* '''Continuing Wobbles''': Take Water Temperature as the example. In recent years, the water temperature of each sampling sites fluctuates constantly. From the chart below, there are no obvious outliers, however, I still need to check the control chart to get more accurate testing result.
 
−
 
 
−
 
 
−
[[Image:ZL-14.png|580px | Center]]
 
−
 
 
−
 
 
−
* '''Relatively Flat''': Some measures did not change significantly, they keep the flat level in several years. No sudden rise or sudden drop, just like the Sodium.
 
−
 
 
−
 
 
−
[[Image:ZL-15.png|580px | Center]]
 
−
 
 
−
 
 
−
 
 
−
<font size="3"><font color="#000000">'''Water System Analysis'''</font></font>
 
−
 
 
−
Despite of the overall trend, I also want to find out the relationship within one water system and to see how the watershed integrity could influence the water quality.
 
−
First, I check the Skada Water System which is composed of three sampling sites – Achara, Somchair and Sakda. Let me use the Sodium as the example:
 
−
 
 
−
 
 
−
[[Image:ZL-16.png|580px | Center]]
 
−
 
 
−
 
 
−
In this water system, Achara and Somchair are upstream, Sakda is downstream. The Sodium level of Sakda is obviously higher than the upper limit, so I treat it as out of control, which means in Sakda, the Sodium was accumulated too much. Then I check the Area Chart, it looks like the trend of Somchair and Sakda is close. However, I still need more evidence to proof my thought.
 
−
 
 
−
Next, I check the control chart and area chart of Cyanides. From the control chart, it is obvious that the pollutant content is high in Sakda, 2008. It was higher than the upper limit. After 2008, the trend goes down, meanwhile, the trend of Cyanides in Somchair has the same trend.
 
−
 
 
−
 
 
−
 
 
−
[[Image:ZL-17.png|580px | Center]]
 
−
 
 
−
 
 
−
To get further convincing, I also check the Kannika Water System which is composed of Busarakhan, Chai and Kannika. In this system, Kannika is the downstream, Busarakhan and Chai is upstream. The reason that I didn’t choose Boonsri and Kohsoom as upstream is these two sampling sites are too far away from the downstream, the pollutant in Boonsri and Kohsoom may not affect the waterway near Kannika.
 
−
 
 
−
For Kannika system, I choose Chemical Oxygen Demand as the example. From the control chart, this measure in Chai is over the upper limit in several years. Then I check the area chart, the fluctuation in three sampling sites are almost the same.
 
−
 
 
−
 
 
−
[[Image:ZL-18.png|580px | Center]]
 

Latest revision as of 18:28, 8 July 2018

Shadiao duck.jpg        Vast Mini Challenge 2: Like a Duck to Water

Background

Data Preparation

Methodology

Insight

Conclusion

   



From the discussion above, I conclude several points:


  • Watershed integrity influence the water quality, the pollutant content from upstream will flow down to the downstream.
  • Pollutant content is hard to decomposed by water, since during the flowing down to the downstream, the pollution level is still high.
  • Scientist should pay more attention to the sampling site where has the measure level higher than the upper limit, especially in recent years.
  • The possible reasons of the change of trend of each measure are:
  1. Climatical cause may lead to the measure level drop down fast in one month or quarter.
  2. If one or several measures sudden rise a lot in the same period, maybe there is a factory drain sewage into the water.
Retrieved from ‘https://wiki.smu.edu.sg/1718t3isss608/index.php?title=ZL-Conclusion&oldid=7511’