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Research on self-purification capacity of Lake Taihu

Overview of attention for article published in Environmental Science and Pollution Research, December 2014
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  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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3 Facebook pages
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1 Google+ user

Citations

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28 Dimensions

Readers on

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24 Mendeley
Title
Research on self-purification capacity of Lake Taihu
Published in
Environmental Science and Pollution Research, December 2014
DOI 10.1007/s11356-014-3920-6
Pubmed ID
Authors

Tao Han, Hongju Zhang, Weiping Hu, Jiancai Deng, Qinqin Li, Guie Zhu

Abstract

An effective measure to cope with eutrophication of lakes is to remove nutrients that can cause algal blooming by taking advantage of natural water purification processes. Here, the term "purification" is defined, in a wide sense, as the potential role of a water body to contribute to the reduction of pollutants and thus controlling eutrophication. Also regarded as a kind of ecological regulating services, biological purification involves various processes concerning seasonal nutrient fixation, such as uptake by aquatic macrophyte, biofouling onto foliage substrates, feeding by organisms in higher trophic level, and eternal loss or removal of substance from the water. In order to evaluate the water purification ability, a numerical lake ecosystem model (EcoTaihu) was developed and applied to Lakes Taihu. The model includes the biological interactions between pelagic compartments (phytoplankton and zooplankton, detritus, dissolved organic matter, fish, and nutrients). Under dynamic forcing of meteorological and hydrological parameters, the model was run over years to evaluate the annual nutrient cycles and purification functions. The reproducibility of the model was validated for water body by comparison with the field data from the water quality monitoring campaign. Numerical results revealed that self-purification capacity of nitrogen of Lake Taihu in years 2006, 2008, and 2010 is 4.00 × 10(4), 4.27 × 10(4), and 4.11 × 10(4) ton, respectively, whereas self-purification capacity of phosphorus of Lake Taihu in years 2006, 2008, and 2010 is 1.56 × 10(3), 1.80 × 10(3), and 1.71 × 10(3) ton, respectively.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 25%
Student > Ph. D. Student 3 13%
Researcher 2 8%
Student > Doctoral Student 1 4%
Professor 1 4%
Other 3 13%
Unknown 8 33%
Readers by discipline Count As %
Environmental Science 7 29%
Agricultural and Biological Sciences 3 13%
Engineering 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Chemistry 1 4%
Other 1 4%
Unknown 9 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 November 2019.
All research outputs
#14,759,948
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#2,987
of 9,883 outputs
Outputs of similar age
#188,921
of 359,899 outputs
Outputs of similar age from Environmental Science and Pollution Research
#43
of 134 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,883 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 359,899 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.