Big data challenges in overcoming China’s water and air pollution: relevant data and indicators
Big data are potentially useful for environmental management planning and actions that can be directed toward pollu-tion control. China is using big data approaches to help reduce its current levels of pollution. However, also needed are better environmental indicators, measurement technologies, dat...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/65124/ |
| _version_ | 1848800189391831040 |
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| author | Zhang, Bo Hughes, Robert M. Davis, Wayne S. Cao, Cong |
| author_facet | Zhang, Bo Hughes, Robert M. Davis, Wayne S. Cao, Cong |
| author_sort | Zhang, Bo |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Big data are potentially useful for environmental management planning and actions that can be directed toward pollu-tion control. China is using big data approaches to help reduce its current levels of pollution. However, also needed are better environmental indicators, measurement technologies, data management and reporting, and adaptive manage-ment and enforcement. Based on continental-extent monitoring and assessment programs in Europe and the USA, we recommend three major programmatic changes for China. (1) Establish long-term systemic environmental and human health objectives and indicators. (2) Adopt national standard methods for survey designs, sampling and analytical pro-tocols, statistical analyses, and collaborative sampling programs. (3) Provide a transparent process for reporting and correcting data errors. |
| first_indexed | 2025-11-14T20:47:36Z |
| format | Article |
| id | nottingham-65124 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:47:36Z |
| publishDate | 2021 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-651242021-04-15T08:45:58Z https://eprints.nottingham.ac.uk/65124/ Big data challenges in overcoming China’s water and air pollution: relevant data and indicators Zhang, Bo Hughes, Robert M. Davis, Wayne S. Cao, Cong Big data are potentially useful for environmental management planning and actions that can be directed toward pollu-tion control. China is using big data approaches to help reduce its current levels of pollution. However, also needed are better environmental indicators, measurement technologies, data management and reporting, and adaptive manage-ment and enforcement. Based on continental-extent monitoring and assessment programs in Europe and the USA, we recommend three major programmatic changes for China. (1) Establish long-term systemic environmental and human health objectives and indicators. (2) Adopt national standard methods for survey designs, sampling and analytical pro-tocols, statistical analyses, and collaborative sampling programs. (3) Provide a transparent process for reporting and correcting data errors. 2021-03-18 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/65124/1/Zhang-2021-Big-data-challenges-in-overcoming-c.pdf Zhang, Bo, Hughes, Robert M., Davis, Wayne S. and Cao, Cong (2021) Big data challenges in overcoming China’s water and air pollution: relevant data and indicators. SN Applied Sciences, 3 (4). ISSN 2523-3963 Indicators； Monitoring； Assessment； Data quality； Pollution management http://dx.doi.org/10.1007/s42452-021-04448-0 doi:10.1007/s42452-021-04448-0 doi:10.1007/s42452-021-04448-0 |
| spellingShingle | Indicators； Monitoring； Assessment； Data quality； Pollution management Zhang, Bo Hughes, Robert M. Davis, Wayne S. Cao, Cong Big data challenges in overcoming China’s water and air pollution: relevant data and indicators |
| title | Big data challenges in overcoming China’s water and air pollution: relevant data and indicators |
| title_full | Big data challenges in overcoming China’s water and air pollution: relevant data and indicators |
| title_fullStr | Big data challenges in overcoming China’s water and air pollution: relevant data and indicators |
| title_full_unstemmed | Big data challenges in overcoming China’s water and air pollution: relevant data and indicators |
| title_short | Big data challenges in overcoming China’s water and air pollution: relevant data and indicators |
| title_sort | big data challenges in overcoming china’s water and air pollution: relevant data and indicators |
| topic | Indicators； Monitoring； Assessment； Data quality； Pollution management |
| url | https://eprints.nottingham.ac.uk/65124/ https://eprints.nottingham.ac.uk/65124/ https://eprints.nottingham.ac.uk/65124/ |