Trophic state footprint index model and its application to Dianchi Lake, China
Given ongoing changes in regional climate and hydrologic conditions, a vast of studies have reported that under-prediction or over-prediction of the trophic status of a water body was widely existing by classic trophic state index method, it would create serious problems in management aspects such a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-12-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X21009821 |
| _version_ | 1818426587339554816 |
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| author | Qing Chen Jian Zhao Qiang Gao HaiXia Liu XueMei Han |
| author_facet | Qing Chen Jian Zhao Qiang Gao HaiXia Liu XueMei Han |
| author_sort | Qing Chen |
| collection | DOAJ |
| description | Given ongoing changes in regional climate and hydrologic conditions, a vast of studies have reported that under-prediction or over-prediction of the trophic status of a water body was widely existing by classic trophic state index method, it would create serious problems in management aspects such as allowing over-fertilization of the eutrophic water body. Each lake needs to establish its own trophic state evaluation method. Therefore, based on the concept of lake-specific and segmentation, a new assessment method for lake eutrophication is proposed: a Trophic State Footprint Index (TFI). This method constructed a concise response relationship between the response index (chlorophyll a) and the main cause index (such as total phosphorus and total nitrogen) with segmented data. This method is an improvement over the Modified Trophic State Index method and TFI is simpler, easier to conduct, and more accurate. It has been applied in Dianchi Lake of China and proved to be effective. |
| first_indexed | 2024-12-14T14:32:12Z |
| format | Article |
| id | doaj.art-e64851cf25304b6491c76c096f6535f9 |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-12-14T14:32:12Z |
| publishDate | 2021-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-e64851cf25304b6491c76c096f6535f92022-12-21T22:57:46ZengElsevierEcological Indicators1470-160X2021-12-01132108317Trophic state footprint index model and its application to Dianchi Lake, ChinaQing Chen0Jian Zhao1Qiang Gao2HaiXia Liu3XueMei Han4Chinese Research Academy of Environment Sciences, Beijing 100012, China; State Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, ChinaChinese Research Academy of Environment Sciences, Beijing 100012, China; State Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, China; Corresponding author.Chinese Society for Environmental Sciences, Beijing 100082, ChinaChinese Research Academy of Environment Sciences, Beijing 100012, China; State Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, ChinaChinese Research Academy of Environment Sciences, Beijing 100012, China; State Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing 100012, ChinaGiven ongoing changes in regional climate and hydrologic conditions, a vast of studies have reported that under-prediction or over-prediction of the trophic status of a water body was widely existing by classic trophic state index method, it would create serious problems in management aspects such as allowing over-fertilization of the eutrophic water body. Each lake needs to establish its own trophic state evaluation method. Therefore, based on the concept of lake-specific and segmentation, a new assessment method for lake eutrophication is proposed: a Trophic State Footprint Index (TFI). This method constructed a concise response relationship between the response index (chlorophyll a) and the main cause index (such as total phosphorus and total nitrogen) with segmented data. This method is an improvement over the Modified Trophic State Index method and TFI is simpler, easier to conduct, and more accurate. It has been applied in Dianchi Lake of China and proved to be effective.http://www.sciencedirect.com/science/article/pii/S1470160X21009821Trophic stateTrophic footprint index modelEutrophicationLake |
| spellingShingle | Qing Chen Jian Zhao Qiang Gao HaiXia Liu XueMei Han Trophic state footprint index model and its application to Dianchi Lake, China Ecological Indicators Trophic state Trophic footprint index model Eutrophication Lake |
| title | Trophic state footprint index model and its application to Dianchi Lake, China |
| title_full | Trophic state footprint index model and its application to Dianchi Lake, China |
| title_fullStr | Trophic state footprint index model and its application to Dianchi Lake, China |
| title_full_unstemmed | Trophic state footprint index model and its application to Dianchi Lake, China |
| title_short | Trophic state footprint index model and its application to Dianchi Lake, China |
| title_sort | trophic state footprint index model and its application to dianchi lake china |
| topic | Trophic state Trophic footprint index model Eutrophication Lake |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X21009821 |
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