Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-949-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-949-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Feb 2017
Research article |
| 15 Feb 2017
Monitoring surface water quality using social media in the context of citizen science
Hang Zheng
CORRESPONDING AUTHOR
School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan, Guangdong, 523106, China
School of Earth and Environmental Science, The University of Queensland, 4072 Brisbane, Australia
Yang Hong
State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China
State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China
Hua Jing
State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China
Viewed
Total article views: 3,731 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Jul 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,035 | 1,507 | 189 | 3,731 | 92 | 100 |
- HTML: 2,035
- PDF: 1,507
- XML: 189
- Total: 3,731
- BibTeX: 92
- EndNote: 100
Total article views: 3,214 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Feb 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,796 | 1,234 | 184 | 3,214 | 89 | 96 |
- HTML: 1,796
- PDF: 1,234
- XML: 184
- Total: 3,214
- BibTeX: 89
- EndNote: 96
Total article views: 517 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Jul 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 239 | 273 | 5 | 517 | 3 | 4 |
- HTML: 239
- PDF: 273
- XML: 5
- Total: 517
- BibTeX: 3
- EndNote: 4
Cited
24 citations as recorded by crossref.
- Towards citizen science. On-site detection of nitrite and ammonium using a smartphone and social media software S. Zheng et al. 10.1016/j.scitotenv.2021.152613
- Investigation and classification of water resources management strategies: possible threats and solutions O. Bozorg-Haddad et al. 10.1007/s11069-024-06589-y
- Can we monitor the natural environment analyzing online social network posts? A literature review P. Lei et al. 10.1016/j.osnem.2017.12.001
- Customer Complaints-Based Water Quality Analysis S. Balta Kaç & S. Eken 10.3390/w15183171
- Farm ponds in southern China: Challenges and solutions for conserving a neglected wetland ecosystem W. Chen et al. 10.1016/j.scitotenv.2018.12.394
- Citizen science approaches for water quality measurements S. Ramírez et al. 10.1016/j.scitotenv.2023.165436
- Screens, streams, and flows: Implications of digital platforms for aquatic citizen science E. Millar et al. 10.1016/j.geoforum.2023.103864
- Urban Observation: Integration of Remote Sensing and Social Media Data L. Qi et al. 10.1109/JSTARS.2019.2908515
- Relationship between Rainfall, Fecal Pollution, Antimicrobial Resistance, and Microbial Diversity in an Urbanized Subtropical Bay N. Powers et al. 10.1128/AEM.01229-20
- Using big data for evaluating development outcomes: A systematic map F. Rathinam et al. 10.1002/cl2.1149
- A Low-Cost Water Quality Monitoring System for the Ayeyarwady River in Myanmar Using a Participatory Approach T. Thatoe Nwe Win et al. 10.3390/w11101984
- Internet of Things and citizen science as alternative water quality monitoring approaches and the importance of effective water quality communication F. Amador-Castro et al. 10.1016/j.jenvman.2023.119959
- Spatio-temporal variations in the water quality of the Doorndraai Dam, South Africa: An assessment of sustainable water resource management M. Molekoa et al. 10.1016/j.crsust.2022.100187
- Monitoring of Suspended Sediments in a Tropical Forested Landscape With Citizen Science N. Njue et al. 10.3389/frwa.2021.656770
- Citizen science in hydrological monitoring and ecosystem services management: State of the art and future prospects N. Njue et al. 10.1016/j.scitotenv.2019.07.337
- Advancing ambient water quality monitoring and management through citizen science in low- and middle-income countries J. Castro et al. 10.1088/1748-9326/ad7305
- Polyaluminium chloride dosing effects on coagulation performance: case study, Barekese, Ghana S. Nti et al. 10.2166/wpt.2021.069
- Mapping recreation and tourism use across grizzly bear recovery areas using social network data and maximum entropy modelling T. Goodbody et al. 10.1016/j.ecolmodel.2020.109377
- Inspiring citizen science innovation for sustainable development goal 6 in water quality monitoring in China Y. Wu et al. 10.3389/fenvs.2023.1234966
- From Research to Applications: What Can We Extract with Social Media Sensing? A. Bozas et al. 10.1007/s42979-024-02712-9
- Static vs. dynamic methods of delivery for science communication: A critical analysis of user engagement with science on social media S. Habibi et al. 10.1371/journal.pone.0248507
- Digital Citizen Science for Responding to COVID-19 Crisis: Experiences from Iran H. Vahidi et al. 10.3390/ijerph18189666
- Social Media as an Instant Source of Feedback on Water Quality K. Ahmad et al. 10.1109/TTS.2022.3189568
- Enhancing water system models by integrating big data M. Shafiee et al. 10.1016/j.scs.2017.11.042
24 citations as recorded by crossref.
- Towards citizen science. On-site detection of nitrite and ammonium using a smartphone and social media software S. Zheng et al. 10.1016/j.scitotenv.2021.152613
- Investigation and classification of water resources management strategies: possible threats and solutions O. Bozorg-Haddad et al. 10.1007/s11069-024-06589-y
- Can we monitor the natural environment analyzing online social network posts? A literature review P. Lei et al. 10.1016/j.osnem.2017.12.001
- Customer Complaints-Based Water Quality Analysis S. Balta Kaç & S. Eken 10.3390/w15183171
- Farm ponds in southern China: Challenges and solutions for conserving a neglected wetland ecosystem W. Chen et al. 10.1016/j.scitotenv.2018.12.394
- Citizen science approaches for water quality measurements S. Ramírez et al. 10.1016/j.scitotenv.2023.165436
- Screens, streams, and flows: Implications of digital platforms for aquatic citizen science E. Millar et al. 10.1016/j.geoforum.2023.103864
- Urban Observation: Integration of Remote Sensing and Social Media Data L. Qi et al. 10.1109/JSTARS.2019.2908515
- Relationship between Rainfall, Fecal Pollution, Antimicrobial Resistance, and Microbial Diversity in an Urbanized Subtropical Bay N. Powers et al. 10.1128/AEM.01229-20
- Using big data for evaluating development outcomes: A systematic map F. Rathinam et al. 10.1002/cl2.1149
- A Low-Cost Water Quality Monitoring System for the Ayeyarwady River in Myanmar Using a Participatory Approach T. Thatoe Nwe Win et al. 10.3390/w11101984
- Internet of Things and citizen science as alternative water quality monitoring approaches and the importance of effective water quality communication F. Amador-Castro et al. 10.1016/j.jenvman.2023.119959
- Spatio-temporal variations in the water quality of the Doorndraai Dam, South Africa: An assessment of sustainable water resource management M. Molekoa et al. 10.1016/j.crsust.2022.100187
- Monitoring of Suspended Sediments in a Tropical Forested Landscape With Citizen Science N. Njue et al. 10.3389/frwa.2021.656770
- Citizen science in hydrological monitoring and ecosystem services management: State of the art and future prospects N. Njue et al. 10.1016/j.scitotenv.2019.07.337
- Advancing ambient water quality monitoring and management through citizen science in low- and middle-income countries J. Castro et al. 10.1088/1748-9326/ad7305
- Polyaluminium chloride dosing effects on coagulation performance: case study, Barekese, Ghana S. Nti et al. 10.2166/wpt.2021.069
- Mapping recreation and tourism use across grizzly bear recovery areas using social network data and maximum entropy modelling T. Goodbody et al. 10.1016/j.ecolmodel.2020.109377
- Inspiring citizen science innovation for sustainable development goal 6 in water quality monitoring in China Y. Wu et al. 10.3389/fenvs.2023.1234966
- From Research to Applications: What Can We Extract with Social Media Sensing? A. Bozas et al. 10.1007/s42979-024-02712-9
- Static vs. dynamic methods of delivery for science communication: A critical analysis of user engagement with science on social media S. Habibi et al. 10.1371/journal.pone.0248507
- Digital Citizen Science for Responding to COVID-19 Crisis: Experiences from Iran H. Vahidi et al. 10.3390/ijerph18189666
- Social Media as an Instant Source of Feedback on Water Quality K. Ahmad et al. 10.1109/TTS.2022.3189568
- Enhancing water system models by integrating big data M. Shafiee et al. 10.1016/j.scs.2017.11.042
Discussed (final revised paper)
Discussed (preprint)
Latest update: 23 Nov 2024
Download
The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.
- Article
(4902 KB) - Full-text XML
Short summary
Do you feel angry if the river in your living place is polluted by industries? Do you want to do something to save your environment? Just log in to http://www.thuhjjc.com and use the Tsinghua Environment Monitoring Platform (TEMP) to photograph the water pollution actives and make your report. This study established a social media platform to monitor and report surface water quality. The effectiveness of the platform was demonstrated by the 324 water quality reports across 30 provinces in China.
Do you feel angry if the river in your living place is polluted by industries? Do you want to do...
