Temporal and Spatial Variations of Chlorophyll a Concentration and Eutrophication Assessment (1987-2018) of Donghu Lake in Wuhan Using Landsat Images
文献类型：期刊论文
| 作者 | Yang, Xujie1; Jiang, Yan1; Deng, Xuwei2; Zheng, Ying3; Yue, Zhiying2 |
| 刊名 | WATER
 |
| 出版日期 | 2020-08-01 |
| 卷号 | 12期号:8页码:18 |
| 关键词 | Donghu Lake Landsat chlorophyll-a (Chl-a) band combination eutrophication spatial and temporal dynamics |
| DOI | 10.3390/w12082192 |
| 通讯作者 | Jiang, Yan(Jiangyan831@gmail.com) |
| 英文摘要 | Chlorophyll a (Chl-a) concentration, which reflects the biomass and primary productivity of phytoplankton in water, is an important water quality parameter to assess the eutrophication status of water. The band combinations shown in the images of Donghu Lake (Wuhan City, China) captured by Landsat satellites from 1987 to 2018 were analyzed. The (B4 - B3)/(B4 + B3) [(Green-Red)/(Green+Red)] band combination was employed to construct linear, power, exponential, logarithmic and cubic polynomial models based on Chl-a values in Donghu Lake in April 2016. The correlation coefficient (R-2), the relative error (RE) and the root mean square error (RMSE) of the cubic model were 0.859, 9.175% and 11.194 mu g/L, respectively and those of the validation model were 0.831, 6.509% and 19.846 mu g/L, respectively. Remote sensing images from 1987 to 2018 were applied to the model and the spatial distribution of Chl-a concentrations in spring and autumn of these years was obtained. At the same time, the eutrophication status of Donghu Lake was monitored and evaluated based on the comprehensive trophic level index (TLI). The results showed that theTLI( n-ary sumation ) of Donghu Lake in April 2016 was 63.49 and the historical data on Chl-a concentration showed that Donghu Lake had been eutrophic. The distribution of Chl-a concentration in Donghu Lake was affected by factors such as construction of bridges and dams, commercial activities and enclosure culture in the lake. The overall distribution of Chl-a concentration in each sub-lake was higher than that in the main lake region and Chl-a concentration was highest in summer, followed by spring, autumn and winter. Based on the data of three long-term (2005-2018) monitoring points in Donghu Lake, the matching patterns between meteorological data and Chl-a concentration were analyzed. It revealed that the Chl-a concentration was relatively high in warmer years or rainy years. The long-term measured data also verified the accuracy of the cubic model for Chl-a concentration. The R-2, RE and RMSE of the validation model were 0.641, 2.518% and 22.606 mu g/L, respectively, which indicated that it was feasible to use Landsat images to retrieve long-term Chl-a concentrations. Based on longitudinal remote sensing data from 1987 to 2018, long-term and large-scale dynamic monitoring of Chl-a concentrations in Donghu Lake was carried out in this study, providing reference and guidance for lake water quality management in the future. |
| WOS关键词 | REMOTE ESTIMATION ; INLAND WATERS ; WEST LAKE ; PHOSPHORUS ; DYNAMICS ; BACTERIOPLANKTON ; ALGORITHM ; PATTERNS ; NITROGEN ; SHALLOW |
| 资助项目 | Strategic Priority Research Program of Chinese Academy of Sciences[XDA19020301] ; Fundamental Research Funds for the Central Universities[CCNU19TS001] ; National Natural Science Foundation of China[31700400] |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000568126100001 |
| 资助机构 | Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.ihb.ac.cn/handle/342005/38799]  |
| 专题 | 水生生物研究所_淡水生态学研究中心_期刊论文 |
| 通讯作者 | Jiang, Yan |
| 作者单位 | 1.Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China 2.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol China, Donghu Expt Stn Lake Ecosyst, Wuhan 430072, Peoples R China 3.Cent China Normal Univ, Sch Foreign Languages, Wuhan 430079, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Xujie,Jiang, Yan,Deng, Xuwei,et al. Temporal and Spatial Variations of Chlorophyll a Concentration and Eutrophication Assessment (1987-2018) of Donghu Lake in Wuhan Using Landsat Images[J]. WATER,2020,12(8):18. |
| APA | Yang, Xujie,Jiang, Yan,Deng, Xuwei,Zheng, Ying,&Yue, Zhiying.(2020).Temporal and Spatial Variations of Chlorophyll a Concentration and Eutrophication Assessment (1987-2018) of Donghu Lake in Wuhan Using Landsat Images.WATER,12(8),18. |
| MLA | Yang, Xujie,et al."Temporal and Spatial Variations of Chlorophyll a Concentration and Eutrophication Assessment (1987-2018) of Donghu Lake in Wuhan Using Landsat Images".WATER 12.8(2020):18. |
入库方式： OAI收割
来源：水生生物研究所
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