Farong Chen , Guangrui Yang , Yanhui Dai , Jiale Jin , Chu Zhao , Zhishan Ye , Jiaming Chen , Xinyi Zhang , Tao Huang , Changchun Huang
{"title":"基于近40年Landsat观测的长江干流筑坝后悬沙浓度时空格局重塑","authors":"Farong Chen , Guangrui Yang , Yanhui Dai , Jiale Jin , Chu Zhao , Zhishan Ye , Jiaming Chen , Xinyi Zhang , Tao Huang , Changchun Huang","doi":"10.1016/j.isprsjprs.2025.09.023","DOIUrl":null,"url":null,"abstract":"<div><div>The proliferation of dams has significantly disrupted sediment flux from land to ocean, reshaping estuarine geomorphology and altering sediment–associated biogeochemical cycles. However, understanding of how dams influence the spatiotemporal distribution of sediment in the Yangtze River remains limited due to sparse observational records. To addresses this gap, this study introduces a novel satellite–derived framework that leverages 36 years of Landsat imagery to quantify patterns of suspended sediment concentration (SSC) along the river. Given the inherent limitations of traditional SSC monitoring, particularly spectral saturation and scalability constraints when quantifying high concentration over large spatial domains, this study calibrated machine learning models using a combination of a public dataset (N=2410) and a field cruise sampling dataset (N=214). The XGBoost–based model achieved robust predictive performance (Public: R<sup>2</sup>=0.80, MAE=17.19 mg/L, and RMSE=54.13 mg/L; Cruise: R<sup>2</sup>=0.88, MAE=9.63 mg/L, and RMSE=13.86 mg/L), enabling detailed mapping of SSC spatiotemporal dynamics along the Yangtze River mainstem. Over the study period, SSC exhibited a pronounced decline, decreasing from 767.23±6.51 mg/L in 1986 to 48.14±0.70 mg/L in 2022. The construction of upstream cascading dams shifted high–SSC zones from the upper reach to the middle and lower reaches, while reversing the upstream sediment regime from erosion to deposition, with an average reservoir accumulation of 161.77 Mt yr<sup>−1</sup>. Among these dams, the Liyuan (LY), Ludila (LDL), Ahai (AH), Jinanqiao (JAQ), and Three Gorges Dam (TGD) exerted the most pronounced influence, with their commissioning closely aligning with marked SSC reductions and abrupt regime shifts. Cascading dams were identified as the dominant drivers of the reshaped sediment distribution, responsible for 32.30 % of the change, exceeding the contributions of upstream soil and water conservation measures (land use transition: 26.12 %, vegetation restoration: 9.13 %) and climate factors (30.44 %). This study quantifies sediment redistribution in the Yangtze River mainstem, elucidates multidecadal SSC responses to dam construction, and provides a transferable framework for sediment–related environmental assessments in ungauged regions.</div></div>","PeriodicalId":50269,"journal":{"name":"ISPRS Journal of Photogrammetry and Remote Sensing","volume":"230 ","pages":"Pages 469-485"},"PeriodicalIF":12.2000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reshaping spatial–temporal pattern of suspended sediment concentration in the Yangtze River mainstem by damming reservoirs based on nearly 40 years Landsat observations\",\"authors\":\"Farong Chen , Guangrui Yang , Yanhui Dai , Jiale Jin , Chu Zhao , Zhishan Ye , Jiaming Chen , Xinyi Zhang , Tao Huang , Changchun Huang\",\"doi\":\"10.1016/j.isprsjprs.2025.09.023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The proliferation of dams has significantly disrupted sediment flux from land to ocean, reshaping estuarine geomorphology and altering sediment–associated biogeochemical cycles. However, understanding of how dams influence the spatiotemporal distribution of sediment in the Yangtze River remains limited due to sparse observational records. To addresses this gap, this study introduces a novel satellite–derived framework that leverages 36 years of Landsat imagery to quantify patterns of suspended sediment concentration (SSC) along the river. Given the inherent limitations of traditional SSC monitoring, particularly spectral saturation and scalability constraints when quantifying high concentration over large spatial domains, this study calibrated machine learning models using a combination of a public dataset (N=2410) and a field cruise sampling dataset (N=214). The XGBoost–based model achieved robust predictive performance (Public: R<sup>2</sup>=0.80, MAE=17.19 mg/L, and RMSE=54.13 mg/L; Cruise: R<sup>2</sup>=0.88, MAE=9.63 mg/L, and RMSE=13.86 mg/L), enabling detailed mapping of SSC spatiotemporal dynamics along the Yangtze River mainstem. Over the study period, SSC exhibited a pronounced decline, decreasing from 767.23±6.51 mg/L in 1986 to 48.14±0.70 mg/L in 2022. The construction of upstream cascading dams shifted high–SSC zones from the upper reach to the middle and lower reaches, while reversing the upstream sediment regime from erosion to deposition, with an average reservoir accumulation of 161.77 Mt yr<sup>−1</sup>. Among these dams, the Liyuan (LY), Ludila (LDL), Ahai (AH), Jinanqiao (JAQ), and Three Gorges Dam (TGD) exerted the most pronounced influence, with their commissioning closely aligning with marked SSC reductions and abrupt regime shifts. Cascading dams were identified as the dominant drivers of the reshaped sediment distribution, responsible for 32.30 % of the change, exceeding the contributions of upstream soil and water conservation measures (land use transition: 26.12 %, vegetation restoration: 9.13 %) and climate factors (30.44 %). This study quantifies sediment redistribution in the Yangtze River mainstem, elucidates multidecadal SSC responses to dam construction, and provides a transferable framework for sediment–related environmental assessments in ungauged regions.</div></div>\",\"PeriodicalId\":50269,\"journal\":{\"name\":\"ISPRS Journal of Photogrammetry and Remote Sensing\",\"volume\":\"230 \",\"pages\":\"Pages 469-485\"},\"PeriodicalIF\":12.2000,\"publicationDate\":\"2025-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISPRS Journal of Photogrammetry and Remote Sensing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0924271625003818\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISPRS Journal of Photogrammetry and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0924271625003818","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
Reshaping spatial–temporal pattern of suspended sediment concentration in the Yangtze River mainstem by damming reservoirs based on nearly 40 years Landsat observations
The proliferation of dams has significantly disrupted sediment flux from land to ocean, reshaping estuarine geomorphology and altering sediment–associated biogeochemical cycles. However, understanding of how dams influence the spatiotemporal distribution of sediment in the Yangtze River remains limited due to sparse observational records. To addresses this gap, this study introduces a novel satellite–derived framework that leverages 36 years of Landsat imagery to quantify patterns of suspended sediment concentration (SSC) along the river. Given the inherent limitations of traditional SSC monitoring, particularly spectral saturation and scalability constraints when quantifying high concentration over large spatial domains, this study calibrated machine learning models using a combination of a public dataset (N=2410) and a field cruise sampling dataset (N=214). The XGBoost–based model achieved robust predictive performance (Public: R2=0.80, MAE=17.19 mg/L, and RMSE=54.13 mg/L; Cruise: R2=0.88, MAE=9.63 mg/L, and RMSE=13.86 mg/L), enabling detailed mapping of SSC spatiotemporal dynamics along the Yangtze River mainstem. Over the study period, SSC exhibited a pronounced decline, decreasing from 767.23±6.51 mg/L in 1986 to 48.14±0.70 mg/L in 2022. The construction of upstream cascading dams shifted high–SSC zones from the upper reach to the middle and lower reaches, while reversing the upstream sediment regime from erosion to deposition, with an average reservoir accumulation of 161.77 Mt yr−1. Among these dams, the Liyuan (LY), Ludila (LDL), Ahai (AH), Jinanqiao (JAQ), and Three Gorges Dam (TGD) exerted the most pronounced influence, with their commissioning closely aligning with marked SSC reductions and abrupt regime shifts. Cascading dams were identified as the dominant drivers of the reshaped sediment distribution, responsible for 32.30 % of the change, exceeding the contributions of upstream soil and water conservation measures (land use transition: 26.12 %, vegetation restoration: 9.13 %) and climate factors (30.44 %). This study quantifies sediment redistribution in the Yangtze River mainstem, elucidates multidecadal SSC responses to dam construction, and provides a transferable framework for sediment–related environmental assessments in ungauged regions.
期刊介绍:
The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) serves as the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). It acts as a platform for scientists and professionals worldwide who are involved in various disciplines that utilize photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The journal aims to facilitate communication and dissemination of advancements in these disciplines, while also acting as a comprehensive source of reference and archive.
P&RS endeavors to publish high-quality, peer-reviewed research papers that are preferably original and have not been published before. These papers can cover scientific/research, technological development, or application/practical aspects. Additionally, the journal welcomes papers that are based on presentations from ISPRS meetings, as long as they are considered significant contributions to the aforementioned fields.
In particular, P&RS encourages the submission of papers that are of broad scientific interest, showcase innovative applications (especially in emerging fields), have an interdisciplinary focus, discuss topics that have received limited attention in P&RS or related journals, or explore new directions in scientific or professional realms. It is preferred that theoretical papers include practical applications, while papers focusing on systems and applications should include a theoretical background.