Monitoring and understanding chlorophyll-a concentration changes in lakes in northeastern China using MERIS and OLCI satellite data
ABSTRACTLakes in the Northeast Plains-Mountain Lake Region (NPLR) of China face severe risks of eutrophication due to climate change and intensive anthropogenic pressures. As a vital indicator for eutrophication status, the dynamics of chlorophyll-a (Chl-a) concentrations in NPLR lakes were, for the...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15481603.2023.2285166 |
| _version_ | 1797401656096194560 |
|---|---|
| author | Lu Zhang Zhuohang Xin Qi Guan Lian Feng Chuanmin Hu Chi Zhang Huicheng Zhou |
| author_facet | Lu Zhang Zhuohang Xin Qi Guan Lian Feng Chuanmin Hu Chi Zhang Huicheng Zhou |
| author_sort | Lu Zhang |
| collection | DOAJ |
| description | ABSTRACTLakes in the Northeast Plains-Mountain Lake Region (NPLR) of China face severe risks of eutrophication due to climate change and intensive anthropogenic pressures. As a vital indicator for eutrophication status, the dynamics of chlorophyll-a (Chl-a) concentrations in NPLR lakes were, for the first time, comprehensively investigated in this study. A support vector regression (SVR)-based model was established and applied to the MERIS (2003–2011) and OLCI (2016–2019) observations to derive a long-term Chl-a record for 33 NPLR lakes. The NPLR lakes exhibited a climatological annual mean Chl-a of 12.3 mg m−3, ranging from 6.8 to 18.6 mg m−3 among the 33 studied lakes. During the study period, 11 lakes exhibited statistically significant increases in Chl-a concentrations (p < 0.05), and 3 lakes showed significantly decreasing trends. Spatially, lakes in lowland regions had higher Chl-a than those in mountainous regions. This study quantified the relative importance of seven explanatory factors in influencing interannual Chl-a changes for each lake. Results showed statistically significant impacts of agricultural fertilizer (10 lakes), wastewater (4 lakes), runoff (7 lakes), and wind (5 lakes) in affecting the interannual variations of Chl-a. The decreases in Chl-a were primarily attributed to the reduced livestock excrement. Compared to hydro-climatic factors, anthropogenic pressures (i.e. agriculture fertilizer, livestock excrement, and wastewater discharge) had more significant impacts on the interannual variations of Chl-a, accounting for more than 50% of 18 lakes. This study enhances our understanding of the long-term Chl-a dynamics in NPLR lakes and their responses to hydro-climatic factors and anthropogenic forcing. These findings are valuable for basin-scale water environment protection and sustainable development. |
| first_indexed | 2024-03-09T02:13:15Z |
| format | Article |
| id | doaj.art-f43fc06501f94e4c81985face0cf3643 |
| institution | Directory Open Access Journal |
| issn | 1548-1603 1943-7226 |
| language | English |
| last_indexed | 2024-03-09T02:13:15Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | GIScience & Remote Sensing |
| spelling | doaj.art-f43fc06501f94e4c81985face0cf36432023-12-07T05:33:53ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262024-12-0161110.1080/15481603.2023.2285166Monitoring and understanding chlorophyll-a concentration changes in lakes in northeastern China using MERIS and OLCI satellite dataLu Zhang0Zhuohang Xin1Qi Guan2Lian Feng3Chuanmin Hu4Chi Zhang5Huicheng Zhou6Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, Liaoning, ChinaFaculty of Infrastructure Engineering, Dalian University of Technology, Dalian, Liaoning, ChinaNanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, ChinaSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, ChinaCollege of Marine Science, University of South Florida, St. Petersburg, FL, USAFaculty of Infrastructure Engineering, Dalian University of Technology, Dalian, Liaoning, ChinaFaculty of Infrastructure Engineering, Dalian University of Technology, Dalian, Liaoning, ChinaABSTRACTLakes in the Northeast Plains-Mountain Lake Region (NPLR) of China face severe risks of eutrophication due to climate change and intensive anthropogenic pressures. As a vital indicator for eutrophication status, the dynamics of chlorophyll-a (Chl-a) concentrations in NPLR lakes were, for the first time, comprehensively investigated in this study. A support vector regression (SVR)-based model was established and applied to the MERIS (2003–2011) and OLCI (2016–2019) observations to derive a long-term Chl-a record for 33 NPLR lakes. The NPLR lakes exhibited a climatological annual mean Chl-a of 12.3 mg m−3, ranging from 6.8 to 18.6 mg m−3 among the 33 studied lakes. During the study period, 11 lakes exhibited statistically significant increases in Chl-a concentrations (p < 0.05), and 3 lakes showed significantly decreasing trends. Spatially, lakes in lowland regions had higher Chl-a than those in mountainous regions. This study quantified the relative importance of seven explanatory factors in influencing interannual Chl-a changes for each lake. Results showed statistically significant impacts of agricultural fertilizer (10 lakes), wastewater (4 lakes), runoff (7 lakes), and wind (5 lakes) in affecting the interannual variations of Chl-a. The decreases in Chl-a were primarily attributed to the reduced livestock excrement. Compared to hydro-climatic factors, anthropogenic pressures (i.e. agriculture fertilizer, livestock excrement, and wastewater discharge) had more significant impacts on the interannual variations of Chl-a, accounting for more than 50% of 18 lakes. This study enhances our understanding of the long-term Chl-a dynamics in NPLR lakes and their responses to hydro-climatic factors and anthropogenic forcing. These findings are valuable for basin-scale water environment protection and sustainable development.https://www.tandfonline.com/doi/10.1080/15481603.2023.2285166Chlorophyll-areservoirs and lakeshuman activityMERISOLCInortheastern China |
| spellingShingle | Lu Zhang Zhuohang Xin Qi Guan Lian Feng Chuanmin Hu Chi Zhang Huicheng Zhou Monitoring and understanding chlorophyll-a concentration changes in lakes in northeastern China using MERIS and OLCI satellite data GIScience & Remote Sensing Chlorophyll-a reservoirs and lakes human activity MERIS OLCI northeastern China |
| title | Monitoring and understanding chlorophyll-a concentration changes in lakes in northeastern China using MERIS and OLCI satellite data |
| title_full | Monitoring and understanding chlorophyll-a concentration changes in lakes in northeastern China using MERIS and OLCI satellite data |
| title_fullStr | Monitoring and understanding chlorophyll-a concentration changes in lakes in northeastern China using MERIS and OLCI satellite data |
| title_full_unstemmed | Monitoring and understanding chlorophyll-a concentration changes in lakes in northeastern China using MERIS and OLCI satellite data |
| title_short | Monitoring and understanding chlorophyll-a concentration changes in lakes in northeastern China using MERIS and OLCI satellite data |
| title_sort | monitoring and understanding chlorophyll a concentration changes in lakes in northeastern china using meris and olci satellite data |
| topic | Chlorophyll-a reservoirs and lakes human activity MERIS OLCI northeastern China |
| url | https://www.tandfonline.com/doi/10.1080/15481603.2023.2285166 |
| work_keys_str_mv | AT luzhang monitoringandunderstandingchlorophyllaconcentrationchangesinlakesinnortheasternchinausingmerisandolcisatellitedata AT zhuohangxin monitoringandunderstandingchlorophyllaconcentrationchangesinlakesinnortheasternchinausingmerisandolcisatellitedata AT qiguan monitoringandunderstandingchlorophyllaconcentrationchangesinlakesinnortheasternchinausingmerisandolcisatellitedata AT lianfeng monitoringandunderstandingchlorophyllaconcentrationchangesinlakesinnortheasternchinausingmerisandolcisatellitedata AT chuanminhu monitoringandunderstandingchlorophyllaconcentrationchangesinlakesinnortheasternchinausingmerisandolcisatellitedata AT chizhang monitoringandunderstandingchlorophyllaconcentrationchangesinlakesinnortheasternchinausingmerisandolcisatellitedata AT huichengzhou monitoringandunderstandingchlorophyllaconcentrationchangesinlakesinnortheasternchinausingmerisandolcisatellitedata |