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...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 R^(2)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.展开更多
基金support by the National Natural Science Foundation of China(52279034)the National Key Research and Development Program of China(2022YFD1500100)+1 种基金the Key Project of Heilongjiang Province Natural Science Foundation(ZL2024E005)the International Cooperation Joint Laboratory of Health in Cold Region Black Soil Habitat of the Ministry of Education Open Subjects(HCRBSH202311-03).
文摘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 R^(2)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.
