# ChinaAQIData
## 中国城市AQI数据
我们从[中国环境总站](http://www.cnemc.cn/)采集实时的空气质量数据。数据API是`http://106.37.208.233:20035/emcpublish/ClientBin/Env-CnemcPublish-RiaServices-EnvCnemcPublishDomainService.svc/binary/GetAQIDataPublishLives`。这个API提供了一个WCF二进制数据流，使用`wget`命令可以下载一个二进制数据文件，然后使用[`python-wcfbin`](https://github.com/ernw/python-wcfbin) 对该二进制文件进行解码得到XML文本格式的数据。
这个项目，我们使用`data_from_cepm.sh`这个shell脚本完成整个数据获取和解码的工作。我们在Linux机器上设置了一个`cron`任务，每个小时定时执行两次该脚本，并将获得的XML文件存储到`xml`目录中，json文件存储到`archives`目录中。同时，我们也保存一个`airnow.json`的文件存储当前小时的空气质量数据。
关于数据的单位问题，通过核对官方网站可知：
* PM2.5, PM10, SO2, NO2, O3, 单位为 μg/m^3.
* CO单位是 mg/m^3.
基于此数据的[中国实时空气质量地图](http://mapviz.xyz:8080/)
如果使用本方法获取数据，请引用以下论文：
Wei Lu, Tinghua Ai, Xiang Zhang and Yakun He. [***An Interactive Web Mapping Visualization of Urban Air Quality Monitoring Data of China***](http://www.mdpi.com/2073-4433/8/8/148/htm)[J]. Atmosphere, 2017, 8(8): 148.
## 免责声明
我们不对使用此方法采集到的数据的真实性负责。使用此方法获取的数据出现的任何后果由使用方法者自己负责。
## AQI Data of Cities in China
We collect real-time air quality data from [China National Environmental Monitoring Centre](http://www.cnemc.cn/). The data API is `http://106.37.208.233:20035/emcpublish/ClientBin/Env-CnemcPublish-RiaServices-EnvCnemcPublishDomainService.svc/binary/GetAQIDataPublishLives`. This API provides a WCF binary data stream. We can use `wget` to get the data, and use [`python-wcfbin`](https://github.com/ernw/python-wcfbin) to decode this binary data to XML text format.
In this project, we use the shell `data_from_cepm.sh` to do the whole process of data crawling and decoding. We set up a `cron` job on linux system to execute this shell twice every hour. XML files are stored in the `xml` directory and json files in the `archives` directory. We also keep a `airnow.json` file which contains the air quality data of current hour.
About the Units:
* For PM2.5, PM10, SO2,NO2, O3, the unit is μg/m^3.
* For CO, the unit is mg/m^3.
Base on this data, we built [Air Now:Air Quality Map of China](http://mapviz.xyz:8080/)
When using the data by this method, give appropriate credit and cite the following paper:
Wei Lu, Tinghua Ai, Xiang Zhang and Yakun He. [***An Interactive Web Mapping Visualization of Urban Air Quality Monitoring Data of China***](http://www.mdpi.com/2073-4433/8/8/148/htm)[J]. Atmosphere, 2017, 8(8): 148.
## Disclaimer
We are not responsible for the truth of the data collected by this method. Anyone who uses the data by this method should be responsible for any consequence caused by using the data.
Python-中国城市AQI数据AQIDataofCitiesinChina
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2019-08-12
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Python-中国城市AQI数据AQIDataofCitiesinChina.zip （54个子文件） 
ChinaAQIData-master 
.gitignore 80B
requirements.txt 7B data_from_cepm.sh 321B xml .gitkeep 0B airnow.json 1.28MB README.md 3KB python-wcfbin setup.py 863B GetAQIDataPublishLives 1.09MB xml2wcf.py 579B WcfPlugin.py 2KB .travis.yml 101B doc Makefile 5KB example.hex 5KB source api.rst 385B examples.rst 133B index.rst 474B conf.py 8KB listrecords.py 2KB blogpost.rst 4KB LICENSE.txt 1KB README.md 541B tests __init__.py 87B alltests.py 2KB wcf records elements.py 9KB __init__.py 4KB base.py 9KB __pycache__ base.cpython-32.pyc 11KB elements.cpython-36.pyc 9KB text.cpython-36.pyc 29KB elements.cpython-32.pyc 13KB text.cpython-32.pyc 41KB base.cpython-36.pyc 8KB __init__.cpython-32.pyc 3KB attributes.cpython-36.pyc 14KB __init__.cpython-36.pyc 2KB attributes.cpython-32.pyc 20KB text.py 23KB attributes.py 13KB __init__.py 2KB xml2records.py 12KB __pycache__ dictionary.cpython-32.pyc 21KB __init__.cpython-32.pyc 213B __init__.cpython-36.pyc 195B datatypes.cpython-32.pyc 8KB dictionary.cpython-36.pyc 17KB datatypes.cpython-36.pyc 6KB dictionary.py 19KB MyHTMLParser.py 14KB datatypes.py 7KB wcf2xml.py 2KB proxy.py 15KB tox.ini 109B archives .gitkeep 0B xml2json.py 2KB资源评论
