Dataset on Estimation and Prediction of Carbon Emissions from the Social Water Cycle in Gansu Province from a Multi-scale Perspective (2009-2035)
QIAN Longxia1,2LUO Yaoshuai1WANG Hongrui*3LIU Changming4ZHAO Yong2
1 School of Science，Nanjing University of Posts and Telecommunications，Nanjing 210023，China2 Key Laboratory of Water Safety for Beijing-Tianjin-Hebei Region of Ministry of Water Resources，Beijing 100038，China3 College of Water Sciences，Beijing Normal University，Beijing 100875，China4 Key Laboratory of Water Cycle and Related Land Surface Processes，Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China
DOI:10.3974/geodb.2025.12.03.V1
Published:Nov. 2025
Visitors：25 Data Files Downloaded：0
Data Downloaded： 无 Citations：
Key Words：
social water cycle, carbon emissions, multi-scale, Gansu,
Abstract：
Taking Gansu Province of China as the research object, the authors calculated the carbon emissions from each link of the social water cycle in province. Using the water resources involved in each system and linking to the relationship between “province to city”, the authors calculate the municipal carbon emissions. Using nighttime light data to establish the connection between "city and county", the authors calculate the county-level carbon emissions. Based on the coupled deep learning-nonlinear dynamic system model, the county-level carbon emissions were predicted, and the dataset on estimation and prediction of carbon emissions from the social water cycle in Gansu Province from a multi-scale perspective (2009-2035) was developed. The dataset is consisted of the following data: (1) annual provincial carbon emission in 4 subsystems and 13 steps from social water cycle (2009-2022); (2) annual municipal carbon emission distribution in 13 steps from social water cycle (2009-2022); (3) annual total county-level carbon emissions (2009-2022); (4) annual county-level carbon emission prediction (2023-2035); (5) carbon emission prediction error; (6) counterfactual modeling prediction of the pandemic during 2000-2022. The dataset is archived in .xlsx format, and consists of 1 data file with data size of 125 KB, and the analyze research results based on the dataset should be published in Acta Geographica Sinica, Vol. 81, No. 1, 2026.
Foundation Item：
Ministry of Education of P. R. China (23YJAZH111); National Natural Science Foundation of China (51879010); Ministry of Science and Technology of P. R. China (2023YFC3205600); Key Laboratory of Water Safety for Beijing-Tianjin-Hebei Region of Ministry of Water Resources (IWHR-KLWS-202301)
Data Citation：
QIAN Longxia, LUO Yaoshuai, WANG Hongrui*, LIU Changming, ZHAO Yong. Dataset on Estimation and Prediction of Carbon Emissions from the Social Water Cycle in Gansu Province from a Multi-scale Perspective (2009-2035)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.12.03.V1.
References：
[1] Jiang, S. Scientific concept of water-energy nexus and coupling simulation [D]. Beijing: China Institute of Water Resources and Hydropower Research, 2017.
[2] Xiang, X. Z., Jia, S. F. China's water-energy nexus: assessment of water-related energy use [J]. Resources Conservation and Recycling, 2019, 144: 32-38.
[3] Wang, J. X., Rothausen, S., Conway, D., et al. China's water-energy nexus: greenhouse-gas emissions from groundwater use for agriculture [J]. Environmental Research Letters, 2012, 7(1): 014035.
[4] Zhang, H. F., Zhao, R. Q., Xiao, L. G., et al. The effects of irrigation methods on carbon emission and water-energy consumption of crop production [J]. Journal of Irrigation and Drainage, 2021, 40(12): 119-126.
[5] Yang, Q. An analysis of energy consumption in the process of urban household water use: urban household water usage based on Lanzhou [D]. Gansu: Northwest Normal University, 2014.
[6] Zhu, Y. X. Research on the evaluation method of energy consumption in the whole process of social water cycle [D]. Beijing: China Institute of Water Resources and Hydropower Research, 2017.
[7] Zhao, R. Q., Yu, J., Xiao, L. G., et al. Carbon emissions of urban water system based on water-energy-carbon nexus [J]. Acta Geographica Sinica, 2021, 76(12): 3119-3134.
[8] Yang, M. J. Modeling of water-energy-carbon nexus and synergetic effects of water saving and carbon reduction in the social water cycle [D]. Shanghai: East China Normal University, 2024.
[9] Du, W. J., Lu, J. Y., Hu, Y. R., et al. Spatiotemporal pattern of greenhouse gas emissions in China’s wastewater sector and pathways towards carbon neutrality [J]. Nature Water, 2023, 1(2): 166-175.
[10] Liu, Y. L., Hejazi, M., Kyle, P., et al. Global and regional evaluation of energy for water [J]. Environmental Science & Technology, 2016, 50(17): 9736-9745.
[11] Chen, Z. Q., Yu, B. L., Yang, C. S., et al. An extended time series (2000-2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration [J]. Earth System Science Data, 2021, 13(3): 889-906.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
MultiScaleSWCCarbonEmissions.xlsx |
125.83KB |
|