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Quantifying the trophic status of lakes using total light absorption of optically active components

本站小编 Free考研考试/2020-03-20

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论文题目: Quantifying the trophic status of lakes using total light absorption of optically active components
英文论文题目: Quantifying the trophic status of lakes using total light absorption of optically active components
第一作者: 温志丹
英文第一作者: Zhi D.Wen
联系作者: 宋开山
英文联系作者: Kai S.Song
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发表年度: 2019
卷: 245
期:
页码: 684-693
摘要: Eutrophicationof lakes has become one of the world's most serious environmental problems, resulting in an urgent need to monitor and provide safeguards to control water quality. Results from analysis of laketrophic statusbased on calculated throphic state index (TSI) showed that 69.5% of the surveyed 277 lakes were in a state of eutrophication. Significant logarithmic relationships betweenlight absorptionof optically active components (aOACs) and TSI (R2?=?0.78) existed: TSI?=?13.64?×?ln(aOACs)+43.24, and the regression relationship between aOACsand TSI had a better degree of fit (R2) than the currently used reflectance-TSI relationship. aOACsappeared to be a good predictor of TSI estimation in lake ecosystems. The relationship coefficient (aOACs-TSI) slightly varied with lake type, and relationships in saline lakes and phy-type lakes were shown to be more robust than the relationship with the total lake data. This study highlights the quantification of the trophic status in lakes using aOACs, which realized the monitoring of trophic status in lakes using inherentoptical propertieson a large-scale. To our knowledge this is the first investigation to assess the variability of trophic status in lakes across China. The assessment trophic state of lakes based on aOACsprovides a new way to monitor the trophic status of lakes, and findings may have applications for monitoring large-scale and long-term trophic patterns in lakes usingremote sensingtechniques.
英文摘要: Eutrophicationof lakes has become one of the world's most serious environmental problems, resulting in an urgent need to monitor and provide safeguards to control water quality. Results from analysis of laketrophic statusbased on calculated throphic state index (TSI) showed that 69.5% of the surveyed 277 lakes were in a state of eutrophication. Significant logarithmic relationships betweenlight absorptionof optically active components (aOACs) and TSI (R2?=?0.78) existed: TSI?=?13.64?×?ln(aOACs)+43.24, and the regression relationship between aOACsand TSI had a better degree of fit (R2) than the currently used reflectance-TSI relationship. aOACsappeared to be a good predictor of TSI estimation in lake ecosystems. The relationship coefficient (aOACs-TSI) slightly varied with lake type, and relationships in saline lakes and phy-type lakes were shown to be more robust than the relationship with the total lake data. This study highlights the quantification of the trophic status in lakes using aOACs, which realized the monitoring of trophic status in lakes using inherentoptical propertieson a large-scale. To our knowledge this is the first investigation to assess the variability of trophic status in lakes across China. The assessment trophic state of lakes based on aOACsprovides a new way to monitor the trophic status of lakes, and findings may have applications for monitoring large-scale and long-term trophic patterns in lakes usingremote sensingtechniques.
刊物名称: Environmental Pollution
英文刊物名称: Environmental Pollution
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参与作者: Z. D. Wen, K. S. Song, G. Liu, Y. X. Shang, C. Fang, J. Du and L. L. Lyu
英文参与作者: Z. D. Wen, K. S. Song, G. Liu, Y. X. Shang, C. Fang, J. Du and L. L. Lyu
相关话题/Quantifying trophic status