Monitoring the Water Quality Distribution Characteristics in the Huaihe River Basin Based on the Sentinel-2 Satellite
Remote sensing technology plays a crucial role in the rapid and wide-scale monitoring of water quality, which is of great significance for water pollution prevention and control. In this study, the downstream and nearshore areas of the Huaihe River Basin were selected as the study area. By utilizing...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/16/6/860 |
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| author | Xuanshuo Shi Zhongfeng Qiu Yunjian Hu Dongzhi Zhao Aibo Zhao Hui Lin Yating Zhan Yu Wang Yuanzhi Zhang |
| author_facet | Xuanshuo Shi Zhongfeng Qiu Yunjian Hu Dongzhi Zhao Aibo Zhao Hui Lin Yating Zhan Yu Wang Yuanzhi Zhang |
| author_sort | Xuanshuo Shi |
| collection | DOAJ |
| description | Remote sensing technology plays a crucial role in the rapid and wide-scale monitoring of water quality, which is of great significance for water pollution prevention and control. In this study, the downstream and nearshore areas of the Huaihe River Basin were selected as the study area. By utilizing spectral information from standard solution measurements in the laboratory and in situ water quality data matched with satellite spatiotemporal data, inversion models for total phosphorus (TP) and ammonia nitrogen (NH<sub>3</sub>-N) water quality parameters were developed. The validation results using field measurements demonstrated that the inversion models performed well, with coefficients of determination (<i>R</i><sup>2</sup>) of 0.7302 and 0.8024 and root mean square errors of 0.02614 mg/L and 0.0368 mg/L for total phosphorus and ammonia nitrogen, respectively. By applying the models to Sentinel-2 satellite images from 2022, the temporal and spatial distribution characteristics of total phosphorus and ammonia nitrogen concentrations in the study area were obtained. The ammonia nitrogen concentration ranged from 0.05 to 0.30 mg/L, while the total phosphorus concentration ranged from 0.10 to 0.40 mg/L. Overall, the distribution appeared to be stable. The southern region of the Guan River estuary showed slightly higher water quality parameter concentrations compared to the northern region, while the North Jiangsu Irrigation Main Canal estuary was affected by the dilution of river water, resulting in lower concentrations in the estuarine area. |
| first_indexed | 2024-04-24T17:45:08Z |
| format | Article |
| id | doaj.art-7eb8c2b5f73040ac869da1f2cc2ad2c8 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-04-24T17:45:08Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-7eb8c2b5f73040ac869da1f2cc2ad2c82024-03-27T14:08:22ZengMDPI AGWater2073-44412024-03-0116686010.3390/w16060860Monitoring the Water Quality Distribution Characteristics in the Huaihe River Basin Based on the Sentinel-2 SatelliteXuanshuo Shi0Zhongfeng Qiu1Yunjian Hu2Dongzhi Zhao3Aibo Zhao4Hui Lin5Yating Zhan6Yu Wang7Yuanzhi Zhang8School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaJiangsu Tidal Flat Research Center, Nanjing 210036, ChinaFujian Provincial Key Laboratory of Severe Weather, Fujian Institute of Meteorological Science, Fuzhou 350007, ChinaSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaRemote sensing technology plays a crucial role in the rapid and wide-scale monitoring of water quality, which is of great significance for water pollution prevention and control. In this study, the downstream and nearshore areas of the Huaihe River Basin were selected as the study area. By utilizing spectral information from standard solution measurements in the laboratory and in situ water quality data matched with satellite spatiotemporal data, inversion models for total phosphorus (TP) and ammonia nitrogen (NH<sub>3</sub>-N) water quality parameters were developed. The validation results using field measurements demonstrated that the inversion models performed well, with coefficients of determination (<i>R</i><sup>2</sup>) of 0.7302 and 0.8024 and root mean square errors of 0.02614 mg/L and 0.0368 mg/L for total phosphorus and ammonia nitrogen, respectively. By applying the models to Sentinel-2 satellite images from 2022, the temporal and spatial distribution characteristics of total phosphorus and ammonia nitrogen concentrations in the study area were obtained. The ammonia nitrogen concentration ranged from 0.05 to 0.30 mg/L, while the total phosphorus concentration ranged from 0.10 to 0.40 mg/L. Overall, the distribution appeared to be stable. The southern region of the Guan River estuary showed slightly higher water quality parameter concentrations compared to the northern region, while the North Jiangsu Irrigation Main Canal estuary was affected by the dilution of river water, resulting in lower concentrations in the estuarine area.https://www.mdpi.com/2073-4441/16/6/860Huaihe River Basinwater quality parametersSentinel-2spatiotemporal distribution |
| spellingShingle | Xuanshuo Shi Zhongfeng Qiu Yunjian Hu Dongzhi Zhao Aibo Zhao Hui Lin Yating Zhan Yu Wang Yuanzhi Zhang Monitoring the Water Quality Distribution Characteristics in the Huaihe River Basin Based on the Sentinel-2 Satellite Water Huaihe River Basin water quality parameters Sentinel-2 spatiotemporal distribution |
| title | Monitoring the Water Quality Distribution Characteristics in the Huaihe River Basin Based on the Sentinel-2 Satellite |
| title_full | Monitoring the Water Quality Distribution Characteristics in the Huaihe River Basin Based on the Sentinel-2 Satellite |
| title_fullStr | Monitoring the Water Quality Distribution Characteristics in the Huaihe River Basin Based on the Sentinel-2 Satellite |
| title_full_unstemmed | Monitoring the Water Quality Distribution Characteristics in the Huaihe River Basin Based on the Sentinel-2 Satellite |
| title_short | Monitoring the Water Quality Distribution Characteristics in the Huaihe River Basin Based on the Sentinel-2 Satellite |
| title_sort | monitoring the water quality distribution characteristics in the huaihe river basin based on the sentinel 2 satellite |
| topic | Huaihe River Basin water quality parameters Sentinel-2 spatiotemporal distribution |
| url | https://www.mdpi.com/2073-4441/16/6/860 |
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