ISSS608 2017-18 T3 Assign Yang Zhengyan Insights
|
|
|
|
|
Please view Visualization for MC2 of Vast Challenge 2018 on Tableau Public to get better visualization and interactive.
Compare with average
Insights | Visualization |
---|---|
1. Rising values:
Ammonium, Anionic active surfactants, Chemical Oxygen Demand(Cr), AOX, Bicarbonates, Magnesium, Magnesium, Sulphates, Total hardness
In the recent years, Ammonium, Anionic active surfactants, Chemical Oxygen Demand(Cr) ,AOX, Bicarbonates, Magnesium, Magnesium, Sulphates, Total hardness are abnormal volatility during the past three year. Specially, in Kohsoom and Tansanee, there is obvious upper stream for those values. While, Tansanee has the above the average reading values with most of valuables.
|
|
2. Decreasing values: Gamma-Hexachorocyclohexane, Cadmium, Chlorides, Chlorodinine
|
From now, we can conclude Kohsoom, Tansanee may have potential risk of pollution, due the values changes recently. But Tansanee collection data is not sufficient to confirm as it is only from 2009. And there are also interesting valuables such as water temperature implied the place is in north part of earth, because of June, July high temperature.
For those dropping readings, that may be changed from climate or human activities. We may need to collect more data to fill in all gaps to find out other evidence.
Waterway Analysis
Insights | Visualization |
---|---|
1. Paths discovery
The path 4 water flow: Boonsri, Kohsoom, Busaakhan, Chai to Kannika.
For those Ammonium, Anionic active surfactants, Chemical Oxygen Demand(Cr), AOX, Bicarbonates, Magnesium, Sulphates, Total hardness increasing value, we can continue to discovery any insights for the maps. In the recent years, the Anionic active surfactants, AOX, Total dissolved phosphorus are abnormal volatility during the past three years in the upper streams at path 4. So there is potential evidence to approve the pollution from Path 4, original impacts from Kohsoom and Boonsri.
|
Time Analysis
Patterns | Visualization |
---|---|
1.Location Analysis with time changes
We can also apply weekly pattern, monthly pattern and seasonal pattern into different location. For those upslope measure, the time period such as Anionic active surfactants, June, November for monthly, Q3,Q4 for seasonal have the bigger impacts in terms of cyclic. And pattern for each locations has similar trend. |
|
2. Recent year trend 2011-2016
|
Conclusion
There are many measures in the preserver, and some of those are toxic will definitely impact the Pipit and other wildlife such as lead, arsenic. Even with a small portion, those will cause severity issues from water into animals. Furthermore, there are many types of industrial pollution in the waterway, some are reducing in recent years, while some are increasing. The preserver staff should collect the soil data and more frequency data for further investigation near potential pollution locations.
In the dataset, many measures are not used anymore, so it causes discontinue trend and very irregular lines. And we can have the more detailed description for measures used and methods collected. And it is better to provide the sampling strategy, water Volume, the speed of the stream with consistent periods.