题目内容：

    According to the WHO, 90 percent of the world’s population lives in a place where they are exposed to unsafe levels of airborne pollutants, contributing to up to seven million deaths each year. If you live in a city, chances are that you’re part of that 90 percent, even if your city is relatively clean. That’s why cities worldwide have started embracing Internet of Things (IoT)solutions.

One of the best ways to fight pollution is to figure out where it’s worst and where it’s coming from. If you’ve ever made a habit of checking air quality around you, you may notice that there aren’t actually that many monitoring stations, and your closest one may not be that close. For pollution data to really be accurate and helpful, we need a lot more of it.

Luckily, IoT sensors and low-power wide-area networks are making it a lot easier to get and spread ultra-local data. Lampposts are one popular place to put them. For example, the Republic of Korea and Barcelona have already built out a network of pollution sensors in their streetlights. On the other hand, outfitting (配备) cars, bikes, and even people with pollution sensors provides valuable data on a smaller, more mobile scale.

Since pollutant levels can change dramatically even from one city block to another, having smaller-scale data is important for making a lot of decisions that, over time, might have a major influence on our health and behavior. It can influence where we decide to live, when we exercise, whether we bike to work, and, perhaps most importantly, what we can do about pollution in our area.

What all the Internet of Things can help us do on a personal level is use less energy. The data it provides, though, can be used to make big and small changes to the way we behave and build, and that is eventually where we’ll see benefits.

1.What’s the problem mentioned in Paragraph 1?

A.The death rate is high every year. B.There are too many people in the world.

C.There is little space for people to live in. D.Air pollution is more serious than expected.

2.How does the author mainly develop Paragraph 3?

A.By analyzing main causes. B.By citing research findings.

C.By giving specific examples. D.By making close comparisons.

3.Why is it necessary to collect data on a smaller scale?

A.It directly decreases pollutant levels. B.It uses less energy to clean the air.

C.It covers more areas of air pollution. D.It betters decisions on our lifestyle.

4.What’s the author’s attitude towards using IoT to solve air pollution?

A.Disapproving. B.Doubtful.

C.Positive. D.Uncaring.