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Influence of rapid rural-urban population migration on riverine nitrogen pollution: perspective from ammonia-nitrogen

Overview of attention for article published in Environmental Science and Pollution Research, September 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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1 policy source
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1 X user

Citations

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29 Dimensions

Readers on

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33 Mendeley
Title
Influence of rapid rural-urban population migration on riverine nitrogen pollution: perspective from ammonia-nitrogen
Published in
Environmental Science and Pollution Research, September 2017
DOI 10.1007/s11356-017-0322-6
Pubmed ID
Authors

Wangshou Zhang, Dennis P. Swaney, Bongghi Hong, Robert W. Howarth, Xuyong Li

Abstract

China is undergoing a rapid transition from a rural to an urban society. This societal change is a consequence of a national drive toward economic prosperity. However, accelerated urban development resulting from rapid population migration from rural to urban lands has led to high levels of untreated sewage entering aquatic ecosystems directly. Consequently, many of these regions have been identified as hot spots of riverine nitrogen (N) pollution because of the increasing level of urban point-source discharge. In order to address this concern, we assessed effects of urban development on ammonia-nitrogen (AN) loads using a panel data regression model. The model, expressed as an exponential function of anthropogenic N inputs multiplied by a power function of streamflow, was applied to 20 subwatersheds of the Huai River Basin for the years 2003-2010. The results indicated that this model can account for 81% of the variation in annual AN fluxes over space and time. Application of this model to three scenarios of urban development and sewage treatment (termed urbanization priority, sustainable development, and environmental priority) suggests that future N pollution will inevitably deteriorate if current urban environmental management and investment are not significantly improved. Stronger support for environmental management is very critical to alleviate N pollution and improve water quality. More effort should focus on improving sewage treatment and the N removal rate of the current sewage system in light of the increasing degree of urbanization.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Master 4 12%
Researcher 3 9%
Other 2 6%
Student > Doctoral Student 2 6%
Other 4 12%
Unknown 10 30%
Readers by discipline Count As %
Environmental Science 7 21%
Engineering 5 15%
Agricultural and Biological Sciences 3 9%
Social Sciences 2 6%
Earth and Planetary Sciences 1 3%
Other 2 6%
Unknown 13 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 June 2023.
All research outputs
#7,433,267
of 23,986,470 outputs
Outputs from Environmental Science and Pollution Research
#1,573
of 9,939 outputs
Outputs of similar age
#115,022
of 324,764 outputs
Outputs of similar age from Environmental Science and Pollution Research
#49
of 261 outputs
Altmetric has tracked 23,986,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 9,939 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 83% 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 324,764 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 261 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.