Interpreting seasonal droughts over the Yangtze River Basin utilizing anomalies of local-scale atmospheric circulation
Study region: The Yangtze River Basin (YRB), China. Study focus: This study quantifies the contribution of local-scale factors to seasonal droughts over the YRB, with a particular emphasis on specific humidity, vertical velocity, horizontal divergence, and relative vorticity at pressure levels from...
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Elsevier
2025-04-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825000552 |
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| author | Hao Yin Zhiyong Wu Hai He |
| author_facet | Hao Yin Zhiyong Wu Hai He |
| author_sort | Hao Yin |
| collection | DOAJ |
| description | Study region: The Yangtze River Basin (YRB), China. Study focus: This study quantifies the contribution of local-scale factors to seasonal droughts over the YRB, with a particular emphasis on specific humidity, vertical velocity, horizontal divergence, and relative vorticity at pressure levels from 100 to 925hPa. Using the 3D Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, we identified 43 seasonal drought events in the YRB from 1971 to 2022. An Explainable Artificial Intelligence framework was then applied to assess the influence of these local-scale factors on the Standardized Precipitation Index (SPI3) at the grid scale. New hydrological insights for the region: Low-level specific humidity significantly influences drought conditions in the northern middle and lower reaches, while mid-level vertical velocity is the dominant factor in the southern middle and lower reaches. Mid-level specific humidity plays a key role in the upper reaches. The Random Forest model, using these four local factors as predictors, accurately simulates the spatiotemporal evolution of seasonal droughts over the YRB, providing new insights into the mechanisms behind these events. |
| format | Article |
| id | doaj-art-8fcc7ecfc9df44e78735b91d055ba4ea |
| institution | Kabale University |
| issn | 2214-5818 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj-art-8fcc7ecfc9df44e78735b91d055ba4ea2025-02-11T04:34:55ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-04-0158102231Interpreting seasonal droughts over the Yangtze River Basin utilizing anomalies of local-scale atmospheric circulationHao Yin0Zhiyong Wu1Hai He2National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaNational Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China; Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210098, China; Corresponding author at: National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaStudy region: The Yangtze River Basin (YRB), China. Study focus: This study quantifies the contribution of local-scale factors to seasonal droughts over the YRB, with a particular emphasis on specific humidity, vertical velocity, horizontal divergence, and relative vorticity at pressure levels from 100 to 925hPa. Using the 3D Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, we identified 43 seasonal drought events in the YRB from 1971 to 2022. An Explainable Artificial Intelligence framework was then applied to assess the influence of these local-scale factors on the Standardized Precipitation Index (SPI3) at the grid scale. New hydrological insights for the region: Low-level specific humidity significantly influences drought conditions in the northern middle and lower reaches, while mid-level vertical velocity is the dominant factor in the southern middle and lower reaches. Mid-level specific humidity plays a key role in the upper reaches. The Random Forest model, using these four local factors as predictors, accurately simulates the spatiotemporal evolution of seasonal droughts over the YRB, providing new insights into the mechanisms behind these events.http://www.sciencedirect.com/science/article/pii/S2214581825000552Seasonal droughtsYangtze River BasinLocal-scale processes3D DBSCANRandom Forest modelExplainAI framework |
| spellingShingle | Hao Yin Zhiyong Wu Hai He Interpreting seasonal droughts over the Yangtze River Basin utilizing anomalies of local-scale atmospheric circulation Journal of Hydrology: Regional Studies Seasonal droughts Yangtze River Basin Local-scale processes 3D DBSCAN Random Forest model ExplainAI framework |
| title | Interpreting seasonal droughts over the Yangtze River Basin utilizing anomalies of local-scale atmospheric circulation |
| title_full | Interpreting seasonal droughts over the Yangtze River Basin utilizing anomalies of local-scale atmospheric circulation |
| title_fullStr | Interpreting seasonal droughts over the Yangtze River Basin utilizing anomalies of local-scale atmospheric circulation |
| title_full_unstemmed | Interpreting seasonal droughts over the Yangtze River Basin utilizing anomalies of local-scale atmospheric circulation |
| title_short | Interpreting seasonal droughts over the Yangtze River Basin utilizing anomalies of local-scale atmospheric circulation |
| title_sort | interpreting seasonal droughts over the yangtze river basin utilizing anomalies of local scale atmospheric circulation |
| topic | Seasonal droughts Yangtze River Basin Local-scale processes 3D DBSCAN Random Forest model ExplainAI framework |
| url | http://www.sciencedirect.com/science/article/pii/S2214581825000552 |
| work_keys_str_mv | AT haoyin interpretingseasonaldroughtsovertheyangtzeriverbasinutilizinganomaliesoflocalscaleatmosphericcirculation AT zhiyongwu interpretingseasonaldroughtsovertheyangtzeriverbasinutilizinganomaliesoflocalscaleatmosphericcirculation AT haihe interpretingseasonaldroughtsovertheyangtzeriverbasinutilizinganomaliesoflocalscaleatmosphericcirculation |