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Partitioning Evapotranspiration into Green and Blue Water Sources in the Conterminous United States

Overview of attention for article published in Scientific Reports, July 2017
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Title
Partitioning Evapotranspiration into Green and Blue Water Sources in the Conterminous United States
Published in
Scientific Reports, July 2017
DOI 10.1038/s41598-017-06359-w
Pubmed ID
Authors

Naga Manohar Velpuri, Gabriel B. Senay

Abstract

In this study, we combined two 1 km actual evapotranspiration datasets (ET), one obtained from a root zone water balance model and another from an energy balance model, to partition annual ET into green (rainfall-based) and blue (surface water/groundwater) sources. Time series maps of green water ET (GWET) and blue water ET (BWET) are produced for the conterminous United States (CONUS) over 2001-2015. Our results indicate that average green and blue water for all land cover types in CONUS accounts for nearly 70% and 30% of the total ET, respectively. The ET in the eastern US arises mostly from GWET, and in the western US, it is mostly BWET. Analysis of the BWET in the 16 irrigated areas in CONUS revealed interesting results. While the magnitude of the BWET gradually showed a decline from west to east, the increase in coefficient of variation from west to east confirmed greater use of supplemental irrigation in the central and eastern US. We also established relationships between different hydro-climatology zones and their blue water requirements. This study provides insights on the relative contributions and the spatiotemporal dynamics of GWET and BWET, which could lead to improved water resources management.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Student > Master 10 13%
Researcher 10 13%
Student > Doctoral Student 4 5%
Lecturer 2 3%
Other 6 8%
Unknown 26 34%
Readers by discipline Count As %
Environmental Science 15 20%
Engineering 12 16%
Earth and Planetary Sciences 7 9%
Agricultural and Biological Sciences 5 7%
Computer Science 1 1%
Other 3 4%
Unknown 33 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 July 2017.
All research outputs
#20,436,330
of 22,990,068 outputs
Outputs from Scientific Reports
#106,114
of 124,126 outputs
Outputs of similar age
#274,431
of 314,579 outputs
Outputs of similar age from Scientific Reports
#4,696
of 5,760 outputs
Altmetric has tracked 22,990,068 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 124,126 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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