Answer: North America, South America, Antarctica, Europe, Africa, Asia, Australia
Answer:
plains
Explanation:
<u>It has been noted that the density of road infrastructure is higher in the plains.</u>
This is because the terrain is leveled and easier for building, which makes it more likely for cities and settlements to be built here. If the population of the region is higher, there is more need for the roads and traffic to be built.
Additionally, it is easier to drive through the plains than to through the mountains, which is why roads will be built in the plains more likely. When the terrain is leveled, <u>roads can also be built through the forests and deserts.</u>
It must be at least 4 bricks high because 6*4=24
2 bricks in each of the 4 levels of bricks (12*2= 24) (24*1=24)
4 bricks up*2 bricks wide= 8 bricks
Answer:
c) No UV light until spring
Explanation:
According to research, chlorofluorocarbons also known as CFCs, are chemicals that are mainly responsible for the destruction of the ozone gas.
<em><u>This is all due to the interaction of different factors, and not only because of the presence of UV. </u></em>
In Antarctica, the ozone levels become significantly reduced during spring because of these chemicals that contain chlorine, producing a hole where cool air becomes trapped. This air produces clouds that are responsible of the release of chlorine from the CFCs, an extremely important process of the formation of an ozone hole. The more clouds there are, the more gases are released, and the worse the ozone hole will be in spring.
Because the sun rises and becomes more intense during spring, it degrades these gases and releases the free radicals of chlorine, which are highly detrimental for the ozone layer as they destroy numerous molecules of ozone. By the beginning of summer, there is a higher amount of ozone that comes from other areas which help fill the ozone hole.
Answer:
To describe and summarize spatial data. To make generalizations concerning complex spatial patterns, to use samples of geographic data to infer characteristics for a larger set of geographic data (population).
Explanation:
