Temporal dynamics of turbidity in China's lakes and reservoirs: Distinct trajectories and corresponding driving mechanisms
文献类型：期刊论文
| 作者 | Huang, Yusheng7; Chen, Huili5,6; Liu, Shujie7; Zhao, Gang4; Fu, Xinyue3; Zhang, Hanxiao2; Liang, Zhongyao7; Liu, Yong1 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2026-05-01 |
| 卷号 | 149页码:105287 |
| 关键词 | Turbidity trend pattern Driver identification Remote sensing Dynamic Time Warping Bayesian Additive Regression Tree |
| ISSN号 | 1569-8432 |
| DOI | 10.1016/j.jag.2026.105287 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 英文摘要 | Understanding long-term turbidity dynamics is crucial for water security but remains challenging at large scales. To address this, we integrated Dynamic Time Warping (DTW) clustering with uncertainty-aware Bayesian Additive Regression Trees (BART) to analyze MODIS observations (2003-2024) for 917 major Chinese lakes and reservoirs (area >= 10 km(2)). We developed a robust XGBoost retrieval model achieving a validation R(2 )of 0.77 across diverse optical regimes. We identified three evolutionary trajectories: decreasing trends (39.76%) dominated in the Tibetan Plateau, while increasing (32.65%) and fluctuating (27.59%) trends prevailed in eastern basins. Quantitative attribution indicates that vegetation recovery drove decreasing trajectory (NDVI 0.10-0.50), whereas increasing trajectory resulted from synergistic warming and cropland expansion (saturating > 40%). Notably, fluctuating systems displayed a stage-dependent urbanization effect peaking at 15%. These distinct mechanisms are underpinned by heterogeneous environmental baselines, distinguishing the cryospheric buffering and high-efficiency retention of pristine basins from the cumulative anthropogenic and thermal pressures in developed regions. This study formalizes the DTW-BART framework as a transferable tool to bridge large-scale monitoring with mechanistic understanding for trajectory-specific water management. |
| URL标识 | 查看原文 |
| WOS关键词 | NORTHEAST CHINA ; WATER CLARITY ; CLIMATE ; URBANIZATION ; MANAGEMENT ; IMPACTS ; MODIS |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001744468900001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221481]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Liang, Zhongyao |
| 作者单位 | 1.Peking Univ, Inst Tibetan Plateau, Coll Environm Sci & Engn, State Environm Protect Key Lab All Mat Fluxes Rive, Beijing 100871, Peoples R China 2.Beijing Normal Univ, Sch Environm, Beijing 100012, Peoples R China; 3.Sun Yat Sen Univ, Sch Atmospher Sci, Zhuhai 519082, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 5.Loughborough Univ, Sch Architecture Bldg & Civil Engn, Loughborough, England; 6.Loughborough Univ, UNESCO Chair Informat & Multihazard Risk Reduct, Loughborough, England; 7.Xiamen Univ, Coll Environm & Ecol, Fujian Prov Key Lab Coastal Ecol & Environm Studie, Xiamen 361102, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Huang, Yusheng,Chen, Huili,Liu, Shujie,et al. Temporal dynamics of turbidity in China's lakes and reservoirs: Distinct trajectories and corresponding driving mechanisms[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2026,149:105287. |
| APA | Huang, Yusheng.,Chen, Huili.,Liu, Shujie.,Zhao, Gang.,Fu, Xinyue.,...&Liu, Yong.(2026).Temporal dynamics of turbidity in China's lakes and reservoirs: Distinct trajectories and corresponding driving mechanisms.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,149,105287. |
| MLA | Huang, Yusheng,et al."Temporal dynamics of turbidity in China's lakes and reservoirs: Distinct trajectories and corresponding driving mechanisms".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 149(2026):105287. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。