A Real-Time Assessment of Aquatic Ecological Health Using a Process-Based Model: An Example From Lake Poyang, China
Aquatic ecological health is a global challenge due to its significant impacts, and a real-time method to accurately assess the ecological health is therefore particularly useful. Based on the hydrological, water quality, meteorological, and topographic data collected from field observations and org...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.881335/full |
| _version_ | 1818218581176877056 |
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| author | Lingyan Qi Lingyan Qi Ailing Xiong Ailing Xiong Fengwen Wu Fengwen Wu Junfeng Gao Cai Jia Cai Jia Junjun Zhi Junjun Zhi Wangbing Liu Jian Wang Changli Hou Lin Zhang Bing Xu |
| author_facet | Lingyan Qi Lingyan Qi Ailing Xiong Ailing Xiong Fengwen Wu Fengwen Wu Junfeng Gao Cai Jia Cai Jia Junjun Zhi Junjun Zhi Wangbing Liu Jian Wang Changli Hou Lin Zhang Bing Xu |
| author_sort | Lingyan Qi |
| collection | DOAJ |
| description | Aquatic ecological health is a global challenge due to its significant impacts, and a real-time method to accurately assess the ecological health is therefore particularly useful. Based on the hydrological, water quality, meteorological, and topographic data collected from field observations and organizations, this study developed a process-based hydrodynamic and water quality model using an environmental fluid dynamics code (EFDC) model of Lake Poyang to simulate the spatiotemporal variations in water levels and the total nitrogen (TN), total phosphorus (TP), and chlorophyll a (Chl a) contents. Compared with the measured values, the models were confirmed to be reliable and acceptable. Then, to achieve a real-time assessment, the simulated results were calculated and transformed into five ordinal rating categories by using a lake ecosystem health assessment framework. Our research revealed the following results: (1) the highest and lowest 10-day water level statuses indicated that the hydrological conditions of this lake were at “good” or “excellent” levels. (2) The health levels of TN were mostly at the “fair” level or below, and most of the real-time assessment health curves of lake zones were close to the single peak type. (3) The TP contents were often at “good” levels, and the health assessment curves of the lake zones exhibited downward trends during the periods of rapid rise or retreat. (4) A fluctuating characteristic was found in the health assessment of Chl a with at least two declining peaks in all lake zones. This study demonstrated the high value of physics-based models for assessing the ecological health of aquatic ecosystems in a robust and accurate manner. |
| first_indexed | 2024-12-12T07:26:02Z |
| format | Article |
| id | doaj.art-631c43d35c624dc594602df677b2503d |
| institution | Directory Open Access Journal |
| issn | 2296-665X |
| language | English |
| last_indexed | 2024-12-12T07:26:02Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj.art-631c43d35c624dc594602df677b2503d2022-12-22T00:33:10ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-06-011010.3389/fenvs.2022.881335881335A Real-Time Assessment of Aquatic Ecological Health Using a Process-Based Model: An Example From Lake Poyang, ChinaLingyan Qi0Lingyan Qi1Ailing Xiong2Ailing Xiong3Fengwen Wu4Fengwen Wu5Junfeng Gao6Cai Jia7Cai Jia8Junjun Zhi9Junjun Zhi10Wangbing Liu11Jian Wang12Changli Hou13Lin Zhang14Bing Xu15School of Geography and Tourism, Anhui Normal University, Wuhu, ChinaEngineering Technology Research Center of Resources Environment and GIS, Wuhu, ChinaSchool of Geography and Tourism, Anhui Normal University, Wuhu, ChinaEngineering Technology Research Center of Resources Environment and GIS, Wuhu, ChinaSchool of Geography and Tourism, Anhui Normal University, Wuhu, ChinaEngineering Technology Research Center of Resources Environment and GIS, Wuhu, ChinaKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, ChinaSchool of Geography and Tourism, Anhui Normal University, Wuhu, ChinaEngineering Technology Research Center of Resources Environment and GIS, Wuhu, ChinaSchool of Geography and Tourism, Anhui Normal University, Wuhu, ChinaEngineering Technology Research Center of Resources Environment and GIS, Wuhu, ChinaKey Laboratory of JiangHuai Arable Land Resources Protection and Eco-Restoration, Ministry of Natural Resources, Anhui Province Institute of Land Surveying and Planning, Hefei, ChinaKey Laboratory of JiangHuai Arable Land Resources Protection and Eco-Restoration, Ministry of Natural Resources, Anhui Province Institute of Land Surveying and Planning, Hefei, ChinaKey Laboratory of JiangHuai Arable Land Resources Protection and Eco-Restoration, Ministry of Natural Resources, Anhui Province Institute of Land Surveying and Planning, Hefei, ChinaKey Laboratory of JiangHuai Arable Land Resources Protection and Eco-Restoration, Ministry of Natural Resources, Anhui Province Institute of Land Surveying and Planning, Hefei, ChinaKey Laboratory of JiangHuai Arable Land Resources Protection and Eco-Restoration, Ministry of Natural Resources, Anhui Province Institute of Land Surveying and Planning, Hefei, ChinaAquatic ecological health is a global challenge due to its significant impacts, and a real-time method to accurately assess the ecological health is therefore particularly useful. Based on the hydrological, water quality, meteorological, and topographic data collected from field observations and organizations, this study developed a process-based hydrodynamic and water quality model using an environmental fluid dynamics code (EFDC) model of Lake Poyang to simulate the spatiotemporal variations in water levels and the total nitrogen (TN), total phosphorus (TP), and chlorophyll a (Chl a) contents. Compared with the measured values, the models were confirmed to be reliable and acceptable. Then, to achieve a real-time assessment, the simulated results were calculated and transformed into five ordinal rating categories by using a lake ecosystem health assessment framework. Our research revealed the following results: (1) the highest and lowest 10-day water level statuses indicated that the hydrological conditions of this lake were at “good” or “excellent” levels. (2) The health levels of TN were mostly at the “fair” level or below, and most of the real-time assessment health curves of lake zones were close to the single peak type. (3) The TP contents were often at “good” levels, and the health assessment curves of the lake zones exhibited downward trends during the periods of rapid rise or retreat. (4) A fluctuating characteristic was found in the health assessment of Chl a with at least two declining peaks in all lake zones. This study demonstrated the high value of physics-based models for assessing the ecological health of aquatic ecosystems in a robust and accurate manner.https://www.frontiersin.org/articles/10.3389/fenvs.2022.881335/fullaquatic ecological healthEFDCLake Poyangreal-timemodeling |
| spellingShingle | Lingyan Qi Lingyan Qi Ailing Xiong Ailing Xiong Fengwen Wu Fengwen Wu Junfeng Gao Cai Jia Cai Jia Junjun Zhi Junjun Zhi Wangbing Liu Jian Wang Changli Hou Lin Zhang Bing Xu A Real-Time Assessment of Aquatic Ecological Health Using a Process-Based Model: An Example From Lake Poyang, China Frontiers in Environmental Science aquatic ecological health EFDC Lake Poyang real-time modeling |
| title | A Real-Time Assessment of Aquatic Ecological Health Using a Process-Based Model: An Example From Lake Poyang, China |
| title_full | A Real-Time Assessment of Aquatic Ecological Health Using a Process-Based Model: An Example From Lake Poyang, China |
| title_fullStr | A Real-Time Assessment of Aquatic Ecological Health Using a Process-Based Model: An Example From Lake Poyang, China |
| title_full_unstemmed | A Real-Time Assessment of Aquatic Ecological Health Using a Process-Based Model: An Example From Lake Poyang, China |
| title_short | A Real-Time Assessment of Aquatic Ecological Health Using a Process-Based Model: An Example From Lake Poyang, China |
| title_sort | real time assessment of aquatic ecological health using a process based model an example from lake poyang china |
| topic | aquatic ecological health EFDC Lake Poyang real-time modeling |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2022.881335/full |
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