Complex PM2.5 Pollution and Hospital Admission for Respiratory Diseases over Big Data in Cloud Environment
With the establishment of China’s national air quality monitoring network, large amounts of monitoring data are available for different kinds of users. How to process and use this big data is a tough problem for users: most users have limited computing power, and new data are collected at every mome...
Saved in:
| Main Authors: | Yi Zhou, Lianshui Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/1301047 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Impact of Low PM2.5 Exposure on Asthma Admission: Age-Specific Differences and Evidence from a Low-Pollution Environment in China
by: Xiaolong Fan, et al.
Published: (2023-12-01) -
Effect of PM2.5 and its constituents on hospital admissions for cardiometabolic multimorbidity in Urumqi, China
by: Di Wu, et al.
Published: (2025-02-01) -
Characterization and Source Apportionment Analysis of PM<sub>2.5</sub> and Ozone Pollution over Fenwei Plain, China: Insights from PM<sub>2.5</sub> Component and VOC Observations
by: Litian Xu, et al.
Published: (2025-02-01) -
Multiscale analysis of green infrastructure impacts on PM2.5 and PM10 pollution in Delhi, India
by: Kumar Atul, et al.
Published: (2025-01-01) -
Impact of air pollution on the rate of hospital admission of children with respiratory diseases
by: Nikić Dragana, et al.
Published: (2008-01-01)