Articles | Volume 16, issue 2
https://doi.org/10.5194/essd-16-1137-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-1137-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An extensive spatiotemporal water quality dataset covering four decades (1980–2022) in China
Jingyu Lin
Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
Peng Wang
Coastal and Ocean Management Institute, College of the Environment and Ecology, Xiamen University, Xiamen 361102, China
Jinzhu Wang
School of Life and Environmental Sciences, Deakin University, Burwood, Vic 3125, Australia
Youping Zhou
Department of Ocean Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen 518055, China
Xudong Zhou
Global Hydrological Prediction Center, Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan
Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
Hao Zhang
CAS Key Laboratory of Tropical Marine Bio-Resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
Yanpeng Cai
CORRESPONDING AUTHOR
Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
Zhifeng Yang
Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China
Viewed
Total article views: 12,129 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 May 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 8,976 | 2,880 | 273 | 12,129 | 227 | 281 |
- HTML: 8,976
- PDF: 2,880
- XML: 273
- Total: 12,129
- BibTeX: 227
- EndNote: 281
Total article views: 8,996 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Feb 2024)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 7,256 | 1,567 | 173 | 8,996 | 191 | 231 |
- HTML: 7,256
- PDF: 1,567
- XML: 173
- Total: 8,996
- BibTeX: 191
- EndNote: 231
Total article views: 3,133 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 May 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,720 | 1,313 | 100 | 3,133 | 36 | 50 |
- HTML: 1,720
- PDF: 1,313
- XML: 100
- Total: 3,133
- BibTeX: 36
- EndNote: 50
Viewed (geographical distribution)
Total article views: 12,129 (including HTML, PDF, and XML)
Thereof 11,862 with geography defined
and 267 with unknown origin.
Total article views: 8,996 (including HTML, PDF, and XML)
Thereof 8,806 with geography defined
and 190 with unknown origin.
Total article views: 3,133 (including HTML, PDF, and XML)
Thereof 3,056 with geography defined
and 77 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
26 citations as recorded by crossref.
- Revealing the importance of urban water source areas in China by integrating supply and beneficiaries H. Liu et al. https://doi.org/10.1016/j.apgeog.2025.103869
- When national canal meets local pipelines: Clean water supply, local infrastructure and health benefits Y. Gong et al. https://doi.org/10.1016/j.jeem.2026.103347
- An Interpretable Transformer-Based Framework for Monitoring Dissolved Inorganic Nitrogen and Phosphorus in Jiangsu–Zhejiang–Shanghai Offshore Y. Jiang et al. https://doi.org/10.3390/rs18010154
- Cross-sensor spectral fusion for coastal water physicochemical assessment using optimized ensemble machine learning approaches F. Farhangi et al. https://doi.org/10.1016/j.marpolbul.2026.119307
- A framework for evaluating the combined effects of water transfer and storage strategies on water stress alleviation S. Tong et al. https://doi.org/10.1016/j.ecolind.2024.112542
- Monitoring visibility gaps in global river water-quality archives: a basin-scale framework for environmental management prioritization D. Zhu et al. https://doi.org/10.1016/j.jenvman.2026.130205
- Regional heterogeneity in water pollution risk-economic development dynamics: a grid-scale analysis and impact factor exploration in China Y. Ding et al. https://doi.org/10.1080/10807039.2025.2609617
- Unlocking the potential of CYGNSS for pan-tropical inland water mapping through multi-source data and transformer Y. Chen & Q. Yan https://doi.org/10.1016/j.jag.2024.104122
- Building a global early-warning system for environmental risks with remote sensing L. Wang et al. https://doi.org/10.1016/j.fmre.2025.11.002
- Deep representation learning enables cross-basin water quality prediction under data-scarce conditions Y. Zheng et al. https://doi.org/10.1038/s41545-025-00466-2
- Enhancing water quality index forecasting: a novel approach integrating signal decomposition and deep learning models for multi-step ahead predictions K. Wai et al. https://doi.org/10.1016/j.asej.2026.104133
- Recommendations for temporal aggregation of water quality data from multi-platform satellite constellations M. Coffer et al. https://doi.org/10.1080/01431161.2025.2575515
- Human alterations to global riverine phosphorus fluxes to the ocean G. Liu et al. https://doi.org/10.1126/sciadv.ady5884
- Machine Learning-Based Remote Sensing Retrieval of Nutrient Concentrations in China’s Coastal Waters Z. Zheng et al. https://doi.org/10.26599/TST.2025.9010145
- Satellite-Based Estimation of Nitrous Oxide Concentration and Emission in a Large Estuary W. Fan et al. https://doi.org/10.1021/acs.est.4c09302
- Multiscale decomposition and fuzzy-rule attention: A transferable cross-basin framework for long-term water quality forecasting J. Hu et al. https://doi.org/10.1016/j.watres.2026.125593
- High Resolution Water Quality Dataset of Chinese Lakes and Reservoirs from 2000 to 2023 S. Luan et al. https://doi.org/10.1038/s41597-025-04915-y
- A Normalized Shannon Entropy–CV Framework for Diagnosing Short-Term Surface Water Quality Instability from High-Frequency WQI Data in Southwest China J. Kuang et al. https://doi.org/10.3390/su18073216
- Global inland-water oxygen cycle has changed in the Anthropocene J. Wang et al. https://doi.org/10.1126/sciadv.adr1695
- Satellite-ground synchronous in-situ dataset of water optical parameters and surface temperature for typical lakes in China M. Zhai et al. https://doi.org/10.1038/s41597-024-03704-3
- Blind spots in global water quality monitoring E. Jones et al. https://doi.org/10.1088/1748-9326/ad6919
- Seasonal water storage of large reservoirs exacerbates eutrophication risk in the fluctuating backwater zone: A case study of Three Gorges Reservoir, China X. Liu et al. https://doi.org/10.1016/j.ecolind.2025.113100
- Predicting massive floating macroalgal blooms in a regional sea F. Zhou et al. https://doi.org/10.1016/j.envsoft.2024.106310
- Integrating landscape “source-transport-sink” mechanisms into GeoAI to enhance surrogate modeling of watershed nutrient loads Z. Qi et al. https://doi.org/10.1016/j.watres.2025.125263
- A Comprehensive Water Chemistry Dataset for Iranian Rivers E. Zarei et al. https://doi.org/10.1038/s41597-025-05932-7
- Study on the water quality evolution mechanism of typical shallow lake based on in-depth mining of water quality indicators W. Zhang et al. https://doi.org/10.1016/j.ecolind.2025.113914
26 citations as recorded by crossref.
- Revealing the importance of urban water source areas in China by integrating supply and beneficiaries H. Liu et al. https://doi.org/10.1016/j.apgeog.2025.103869
- When national canal meets local pipelines: Clean water supply, local infrastructure and health benefits Y. Gong et al. https://doi.org/10.1016/j.jeem.2026.103347
- An Interpretable Transformer-Based Framework for Monitoring Dissolved Inorganic Nitrogen and Phosphorus in Jiangsu–Zhejiang–Shanghai Offshore Y. Jiang et al. https://doi.org/10.3390/rs18010154
- Cross-sensor spectral fusion for coastal water physicochemical assessment using optimized ensemble machine learning approaches F. Farhangi et al. https://doi.org/10.1016/j.marpolbul.2026.119307
- A framework for evaluating the combined effects of water transfer and storage strategies on water stress alleviation S. Tong et al. https://doi.org/10.1016/j.ecolind.2024.112542
- Monitoring visibility gaps in global river water-quality archives: a basin-scale framework for environmental management prioritization D. Zhu et al. https://doi.org/10.1016/j.jenvman.2026.130205
- Regional heterogeneity in water pollution risk-economic development dynamics: a grid-scale analysis and impact factor exploration in China Y. Ding et al. https://doi.org/10.1080/10807039.2025.2609617
- Unlocking the potential of CYGNSS for pan-tropical inland water mapping through multi-source data and transformer Y. Chen & Q. Yan https://doi.org/10.1016/j.jag.2024.104122
- Building a global early-warning system for environmental risks with remote sensing L. Wang et al. https://doi.org/10.1016/j.fmre.2025.11.002
- Deep representation learning enables cross-basin water quality prediction under data-scarce conditions Y. Zheng et al. https://doi.org/10.1038/s41545-025-00466-2
- Enhancing water quality index forecasting: a novel approach integrating signal decomposition and deep learning models for multi-step ahead predictions K. Wai et al. https://doi.org/10.1016/j.asej.2026.104133
- Recommendations for temporal aggregation of water quality data from multi-platform satellite constellations M. Coffer et al. https://doi.org/10.1080/01431161.2025.2575515
- Human alterations to global riverine phosphorus fluxes to the ocean G. Liu et al. https://doi.org/10.1126/sciadv.ady5884
- Machine Learning-Based Remote Sensing Retrieval of Nutrient Concentrations in China’s Coastal Waters Z. Zheng et al. https://doi.org/10.26599/TST.2025.9010145
- Satellite-Based Estimation of Nitrous Oxide Concentration and Emission in a Large Estuary W. Fan et al. https://doi.org/10.1021/acs.est.4c09302
- Multiscale decomposition and fuzzy-rule attention: A transferable cross-basin framework for long-term water quality forecasting J. Hu et al. https://doi.org/10.1016/j.watres.2026.125593
- High Resolution Water Quality Dataset of Chinese Lakes and Reservoirs from 2000 to 2023 S. Luan et al. https://doi.org/10.1038/s41597-025-04915-y
- A Normalized Shannon Entropy–CV Framework for Diagnosing Short-Term Surface Water Quality Instability from High-Frequency WQI Data in Southwest China J. Kuang et al. https://doi.org/10.3390/su18073216
- Global inland-water oxygen cycle has changed in the Anthropocene J. Wang et al. https://doi.org/10.1126/sciadv.adr1695
- Satellite-ground synchronous in-situ dataset of water optical parameters and surface temperature for typical lakes in China M. Zhai et al. https://doi.org/10.1038/s41597-024-03704-3
- Blind spots in global water quality monitoring E. Jones et al. https://doi.org/10.1088/1748-9326/ad6919
- Seasonal water storage of large reservoirs exacerbates eutrophication risk in the fluctuating backwater zone: A case study of Three Gorges Reservoir, China X. Liu et al. https://doi.org/10.1016/j.ecolind.2025.113100
- Predicting massive floating macroalgal blooms in a regional sea F. Zhou et al. https://doi.org/10.1016/j.envsoft.2024.106310
- Integrating landscape “source-transport-sink” mechanisms into GeoAI to enhance surrogate modeling of watershed nutrient loads Z. Qi et al. https://doi.org/10.1016/j.watres.2025.125263
- A Comprehensive Water Chemistry Dataset for Iranian Rivers E. Zarei et al. https://doi.org/10.1038/s41597-025-05932-7
- Study on the water quality evolution mechanism of typical shallow lake based on in-depth mining of water quality indicators W. Zhang et al. https://doi.org/10.1016/j.ecolind.2025.113914
Saved (final revised paper)
Latest update: 17 Jun 2026
Short summary
Our paper provides a repository comprising over 330 000 observations encompassing daily, weekly, and monthly records of surface water quality spanning the period 1980–2022. It included 18 distinct indicators, meticulously gathered at 2384 monitoring sites, ranging from inland locations to coastal and oceanic areas. This dataset will be very useful for researchers and decision-makers in the fields of hydrology, ecological studies, climate change, policy development, and oceanography.
Our paper provides a repository comprising over 330 000 observations encompassing daily, weekly,...
Altmetrics
Final-revised paper
Preprint