Using Remote Sensing–Based Carlson Index Mapping to Assess Hurricane and Drought Effects on Lake Trophic State

Environmental Remote Sensing and Systems Analysis ◽

10.1201/b11702-6 ◽

2012 ◽

pp. 24-49

Keyword(s):

Remote Sensing ◽

Trophic State ◽

Lake Trophic State ◽

Index Mapping ◽

Drought Effects

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A meta-analysis of benthic rotifer community structure as a function of lake trophic state

Aquatic Ecology ◽

10.1007/s10452-020-09825-2 ◽

2021 ◽

Author(s):

Robert Lee Wallace ◽

Elizabeth J. Walsh ◽

S. Nandini ◽

S. S. S. Sarma

Keyword(s):

Community Structure ◽

Trophic State ◽

Meta Analysis ◽

Rotifer Community ◽

Lake Trophic State

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A Machine Learning Approach for Estimating the Trophic State of Urban Waters Based on Remote Sensing and Environmental Factors

Remote Sensing ◽

10.3390/rs13132498 ◽

2021 ◽

Vol 13 (13) ◽

pp. 2498

Author(s):

Shijie Zhu ◽

Jingqiao Mao

Keyword(s):

Remote Sensing ◽

Environmental Factors ◽

Water Temperature ◽

Trophic State ◽

Trophic Levels ◽

Water Bodies ◽

Trophic State Index ◽

Urban Water ◽

Estimation Model ◽

Input Variables

To improve the accuracy of remotely sensed estimates of the trophic state index (TSI) of inland urban water bodies, key environmental factors (water temperature and wind field) were considered during the modelling process. Such environmental factors can be easily measured and display a strong correlation with TSI. Then, a backpropagation neural network (BP-NN) was applied to develop the TSI estimation model using remote sensing and environmental factors. The model was trained and validated using the TSI quantified by five water trophic indicators obtained for the period between 2018 and 2019, and then we selected the most appropriate combination of input variables according to the performance of the BP-NN. Our results demonstrate that the optimal performance can be obtained by combining the water temperature and single-band reflection values of Sentinel-2 satellite imagery as input variables (R2 = 0.922, RMSE = 3.256, MAPE = 2.494%, and classification accuracy rate = 86.364%). Finally, the spatial and temporal distribution of the aquatic trophic state over four months with different trophic levels was mapped in Gongqingcheng City using the TSI estimation model. In general, the predictive maps based on our proposed model show significant seasonal changes and spatial characteristics in the water trophic state, indicating the possibility of performing cost-effective, RS-based TSI estimation studies on complex urban water bodies elsewhere.

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Direct Determination of Apatite in Lake Sediments

Canadian Journal of Fisheries and Aquatic Sciences ◽

10.1139/f80-080 ◽

1980 ◽

Vol 37 (4) ◽

pp. 640-646 ◽

Cited By ~ 9

Author(s):

R. P. Reid ◽

C. H. Pharo ◽

W. C. Barnes

Keyword(s):

Electron Microscopy ◽

Scanning Electron Microscopy ◽

Lake Sediments ◽

Trophic State ◽

Inorganic Phosphorus ◽

Source Rocks ◽

Emission Spectrometry ◽

Phosphorus Load ◽

Lake Trophic State ◽

Scanning Electron

Apatite is a common accessory mineral in the source rocks for the glacial debris supplying sediments to many Canadian lakes. A method has been developed which uses scanning electron microscopy and energy dispersive X-ray emission spectrometry for direct identification of apatite. This method has been used to examine the apatite content of various size fractions in Kamloops Lake sediments. Apatite concentrations obtained by this direct examination correlate well (r > 0.999) with apatite concentrations determined by chemical analyses and indicate that, in addition to comprising as much as 70% of the total phosphorus load, apatite may comprise as much as one-third of the "dissolved" (< 0.45 μm) inorganic phosphorus load. Consequently the use of classical (e.g. Vollenweider 1968; Vollenweider and Dillon 1974) methods of estimating lake trophic state from inorganic phosphorus concentrations in lake water must be done with care, recognizing that the bulk of inorganic phosphorus in lakes deriving sediment from glaciated igneous or metamorphic terrains may be in the form of apatite.Key words: apatite, lake, trophic state, phosphorus load, scanning electron microscopy

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