{"title":"基于Sentinel-2 MSI观测和物理方法的珠江三角洲入海口耗氧有机污染物时空监测","authors":"Yiwei Ma;Li Zhuo;Ruru Deng;Junying Yang","doi":"10.1109/JSTARS.2025.3602464","DOIUrl":null,"url":null,"abstract":"Estuarine ecosystems, influenced by anthropogenic activities and natural processes, require advanced monitoring for complex organic pollutions. The permanganate index (chemical oxygen demand using potassium permanganate (KMnO<sub>4</sub>) as oxidant, COD<sub>Mn</sub>) is a principal parameter in China’s environmental monitoring system, yet its application in estuarine environments remains challenging. Existing monitoring approaches are predominantly empirical and designed for inland water bodies and large-scale coastal regions, leaving estuarine environments characterized by complex hydrodynamic interactions and sediment dynamics insufficiently addressed. These approaches face significant limitations due to sampling data scarcity and poor representativeness under variable geomorphologic conditions. This study developed a physics-based inversion model, using Sentinel-2 multispectral data, to overcome these challenges. The model achieved robust performance (R<sup>2</sup> = 0.7838, mean absolute percentage difference (MAPD) = 13.9%, root-mean-square deviation (RMSD) = 0.3791 mg/L, mean normalized difference (MND) = −5.99%), and outperformed the comparison models. Spatiotemporal analysis across four major Pearl River estuaries first revealed a sharp decline in COD<sub>Mn</sub> concentration from the near-mouth section toward the river-mouth section, with pronounced accumulation identified at the boundary between the river-mouth section and the mouth-outside seashore. Four driving factors (i.e., increased terrestrial organic matter inputs, seasonal variations in rainfall, inadequate urban wastewater infrastructure management, and estuarine engineering modifications) regulate the transport pathways and residence time of pollutants. This study provides new insights for the dynamic monitoring of organic pollution, supporting adaptive management strategies in transitional ecosystems, particularly for pollution source identification, remediation effectiveness assessment, and ecological restoration planning in anthropogenically stressed estuaries.","PeriodicalId":13116,"journal":{"name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","volume":"18 ","pages":"22938-22950"},"PeriodicalIF":5.3000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11139124","citationCount":"0","resultStr":"{\"title\":\"Spatiotemporal Monitoring of Oxygen-Consuming Organic Pollutants in the Pearl River Delta Estuaries Based on Sentinel-2 MSI Observations and Physics-Based Approach\",\"authors\":\"Yiwei Ma;Li Zhuo;Ruru Deng;Junying Yang\",\"doi\":\"10.1109/JSTARS.2025.3602464\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Estuarine ecosystems, influenced by anthropogenic activities and natural processes, require advanced monitoring for complex organic pollutions. The permanganate index (chemical oxygen demand using potassium permanganate (KMnO<sub>4</sub>) as oxidant, COD<sub>Mn</sub>) is a principal parameter in China’s environmental monitoring system, yet its application in estuarine environments remains challenging. Existing monitoring approaches are predominantly empirical and designed for inland water bodies and large-scale coastal regions, leaving estuarine environments characterized by complex hydrodynamic interactions and sediment dynamics insufficiently addressed. These approaches face significant limitations due to sampling data scarcity and poor representativeness under variable geomorphologic conditions. This study developed a physics-based inversion model, using Sentinel-2 multispectral data, to overcome these challenges. The model achieved robust performance (R<sup>2</sup> = 0.7838, mean absolute percentage difference (MAPD) = 13.9%, root-mean-square deviation (RMSD) = 0.3791 mg/L, mean normalized difference (MND) = −5.99%), and outperformed the comparison models. Spatiotemporal analysis across four major Pearl River estuaries first revealed a sharp decline in COD<sub>Mn</sub> concentration from the near-mouth section toward the river-mouth section, with pronounced accumulation identified at the boundary between the river-mouth section and the mouth-outside seashore. Four driving factors (i.e., increased terrestrial organic matter inputs, seasonal variations in rainfall, inadequate urban wastewater infrastructure management, and estuarine engineering modifications) regulate the transport pathways and residence time of pollutants. This study provides new insights for the dynamic monitoring of organic pollution, supporting adaptive management strategies in transitional ecosystems, particularly for pollution source identification, remediation effectiveness assessment, and ecological restoration planning in anthropogenically stressed estuaries.\",\"PeriodicalId\":13116,\"journal\":{\"name\":\"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing\",\"volume\":\"18 \",\"pages\":\"22938-22950\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2025-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11139124\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11139124/\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11139124/","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Spatiotemporal Monitoring of Oxygen-Consuming Organic Pollutants in the Pearl River Delta Estuaries Based on Sentinel-2 MSI Observations and Physics-Based Approach
Estuarine ecosystems, influenced by anthropogenic activities and natural processes, require advanced monitoring for complex organic pollutions. The permanganate index (chemical oxygen demand using potassium permanganate (KMnO4) as oxidant, CODMn) is a principal parameter in China’s environmental monitoring system, yet its application in estuarine environments remains challenging. Existing monitoring approaches are predominantly empirical and designed for inland water bodies and large-scale coastal regions, leaving estuarine environments characterized by complex hydrodynamic interactions and sediment dynamics insufficiently addressed. These approaches face significant limitations due to sampling data scarcity and poor representativeness under variable geomorphologic conditions. This study developed a physics-based inversion model, using Sentinel-2 multispectral data, to overcome these challenges. The model achieved robust performance (R2 = 0.7838, mean absolute percentage difference (MAPD) = 13.9%, root-mean-square deviation (RMSD) = 0.3791 mg/L, mean normalized difference (MND) = −5.99%), and outperformed the comparison models. Spatiotemporal analysis across four major Pearl River estuaries first revealed a sharp decline in CODMn concentration from the near-mouth section toward the river-mouth section, with pronounced accumulation identified at the boundary between the river-mouth section and the mouth-outside seashore. Four driving factors (i.e., increased terrestrial organic matter inputs, seasonal variations in rainfall, inadequate urban wastewater infrastructure management, and estuarine engineering modifications) regulate the transport pathways and residence time of pollutants. This study provides new insights for the dynamic monitoring of organic pollution, supporting adaptive management strategies in transitional ecosystems, particularly for pollution source identification, remediation effectiveness assessment, and ecological restoration planning in anthropogenically stressed estuaries.
期刊介绍:
The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.