Injecting salt crystals over the ocean to grow cloud droplets has been proposed in efforts to make the clouds brighter thereby affecting the radiation budget. The light of the sun shines on Earth, some of that light is reflected by the clouds back to space and some of the light reaches the earth and warms our planet. The earth and the hot oceans emit infrared radiation (IR), which we feel as heat. That IR "light"; returns to space through the atmosphere. Most are trapped by greenhouse gases, which keep the earth warm. Soon after, the IR radiation returns to space. Scientists call this "energy budget of the Earth" this cycle of incoming and outgoing energy.
The chart is about atomic structure: at the top, the left box is "nucleus" and the right is "electron cloud".
On the left, under nucleus, the two boxes are: "protons" on the right and "neutrons" on the left. Under proton is elements which is given and under neutrons, it is "isotopes".
On the right, under electron cloud, the next box is "electrons" and then the lower box is "ions".
<u>Answer:</u> No crystals of potassium sulfate will be seen at 0°C for the given amount.
<u>Explanation:</u>
We are given:
Mass of potassium nitrate = 47.6 g
Mass of potassium sulfate = 8.4 g
Mass of water = 130. g
Solubility of potassium sulfate in water at 0°C = 7.4 g/100 g
This means that 7.4 grams of potassium sulfate is soluble in 100 grams of water
Applying unitary method:
In 100 grams of water, the amount of potassium sulfate dissolved is 7.4 grams
So, in 130 grams of water, the amount of potassium sulfate dissolved will be 
As, the soluble amount is greater than the given amount of potassium sulfate
This means that, all of potassium sulfate will be dissolved.
Hence, no crystals of potassium sulfate will be seen at 0°C for the given amount.
Classification systems are mental models that we create to make sorting things simpler and more efficient. We make compromises to emphasize certain details and hide others based on their perceived relevance to achieving the outcomes we seek. Even if the original model was nearly perfect, you should expect the inputs provided and outcomes desired to change as time goes by.
In time, we usually find that we have over-simplified by ignoring important details. Mental models such as classification systems should evolve over time. This enables them to more accurately reflect reality and lead to the outcomes we seek.
You can only find the details you seek by observing the right layer of abstraction.
