Carbon Emission Based Predictions of Anthropogenic Impacts on Groundwater Storage at Typical Basins in 2050
Understanding the impacts of anthropogenic activities on groundwater is crucial for its management and utilization. However, predicting anthropogenic impacts on groundwater remains challenging due to their complexity. As any anthropogenic activity generates carbon emissions, we employed carbon emiss...
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| Format: | Article |
| Language: | English |
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American Association for the Advancement of Science (AAAS)
2025-01-01
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| Series: | Research |
| Online Access: | https://spj.science.org/doi/10.34133/research.0680 |
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| author | Ying Zhao Jiabin Ma Yuelei Li Kui Cheng Meiling Zhang Zhuqing Liu Fan Yang |
| author_facet | Ying Zhao Jiabin Ma Yuelei Li Kui Cheng Meiling Zhang Zhuqing Liu Fan Yang |
| author_sort | Ying Zhao |
| collection | DOAJ |
| description | Understanding the impacts of anthropogenic activities on groundwater is crucial for its management and utilization. However, predicting anthropogenic impacts on groundwater remains challenging due to their complexity. As any anthropogenic activity generates carbon emissions, we employed carbon emissions to characterize the intensity of anthropogenic activities to predict groundwater storage variations. Carbon emission–groundwater machine learning models indicate that groundwater storage will increase in Rhine Valley (7.3% ± 1.9%), the Great Lakes Basin (6.7% ± 4.3%), and Pearl River catchments (1.8% ± 1.5%) in the next 3 decades, but it will continue to decline in Yangtze River catchments (−13.7% ± 3.4%), with R2 ranging from 0.916 to 0.995. Furthermore, the existing groundwater protection measures of Yangtze River catchments will not be sufficient to compensate for future declines in groundwater storage caused by anthropogenic activities (5.9% ± 4% decrease in 2050), indicating the necessity of more effective measures. This study developed a method to predict the impacts of anthropogenic activities on groundwater, thus overcoming an important obstacle in predicting groundwater behavior, which is crucial for the utilization and management of groundwater resources. The methodology developed in this study for predicting the impacts of anthropogenic activities on groundwater will raise awareness of the link between anthropogenic activities and groundwater and lead to in-depth research on anthropogenically driven groundwater prediction studies. This will overcome substantial barriers to predicting groundwater behavior, which is critical for groundwater resource use and management. |
| format | Article |
| id | doaj-art-b18269618c984ea2b2c2baf8b19f1601 |
| institution | DOAJ |
| issn | 2639-5274 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | American Association for the Advancement of Science (AAAS) |
| record_format | Article |
| series | Research |
| spelling | doaj-art-b18269618c984ea2b2c2baf8b19f16012025-08-20T03:20:56ZengAmerican Association for the Advancement of Science (AAAS)Research2639-52742025-01-01810.34133/research.0680Carbon Emission Based Predictions of Anthropogenic Impacts on Groundwater Storage at Typical Basins in 2050Ying Zhao0Jiabin Ma1Yuelei Li2Kui Cheng3Meiling Zhang4Zhuqing Liu5Fan Yang6School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China.School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China.School of Environment, Harbin Institute of Technology, Harbin 150090, China.International Cooperation Joint Laboratory of Health in Cold Region Black Soil Habitat of the Ministry of Education, Harbin 150030, China.School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China.School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China.School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China.Understanding the impacts of anthropogenic activities on groundwater is crucial for its management and utilization. However, predicting anthropogenic impacts on groundwater remains challenging due to their complexity. As any anthropogenic activity generates carbon emissions, we employed carbon emissions to characterize the intensity of anthropogenic activities to predict groundwater storage variations. Carbon emission–groundwater machine learning models indicate that groundwater storage will increase in Rhine Valley (7.3% ± 1.9%), the Great Lakes Basin (6.7% ± 4.3%), and Pearl River catchments (1.8% ± 1.5%) in the next 3 decades, but it will continue to decline in Yangtze River catchments (−13.7% ± 3.4%), with R2 ranging from 0.916 to 0.995. Furthermore, the existing groundwater protection measures of Yangtze River catchments will not be sufficient to compensate for future declines in groundwater storage caused by anthropogenic activities (5.9% ± 4% decrease in 2050), indicating the necessity of more effective measures. This study developed a method to predict the impacts of anthropogenic activities on groundwater, thus overcoming an important obstacle in predicting groundwater behavior, which is crucial for the utilization and management of groundwater resources. The methodology developed in this study for predicting the impacts of anthropogenic activities on groundwater will raise awareness of the link between anthropogenic activities and groundwater and lead to in-depth research on anthropogenically driven groundwater prediction studies. This will overcome substantial barriers to predicting groundwater behavior, which is critical for groundwater resource use and management.https://spj.science.org/doi/10.34133/research.0680 |
| spellingShingle | Ying Zhao Jiabin Ma Yuelei Li Kui Cheng Meiling Zhang Zhuqing Liu Fan Yang Carbon Emission Based Predictions of Anthropogenic Impacts on Groundwater Storage at Typical Basins in 2050 Research |
| title | Carbon Emission Based Predictions of Anthropogenic Impacts on Groundwater Storage at Typical Basins in 2050 |
| title_full | Carbon Emission Based Predictions of Anthropogenic Impacts on Groundwater Storage at Typical Basins in 2050 |
| title_fullStr | Carbon Emission Based Predictions of Anthropogenic Impacts on Groundwater Storage at Typical Basins in 2050 |
| title_full_unstemmed | Carbon Emission Based Predictions of Anthropogenic Impacts on Groundwater Storage at Typical Basins in 2050 |
| title_short | Carbon Emission Based Predictions of Anthropogenic Impacts on Groundwater Storage at Typical Basins in 2050 |
| title_sort | carbon emission based predictions of anthropogenic impacts on groundwater storage at typical basins in 2050 |
| url | https://spj.science.org/doi/10.34133/research.0680 |
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