Rice evapotranspiration at the field and canopy scales under water-saving irrigation

Rice evapotranspiration at the field and canopy scales under water-saving irrigation Evapotranspiration (ET) is an important process of land surface water and thermal cycling, with large temporal and spatial variability. To reveal the effect of water-saving irrigation (WSI) on rice ET at different spatial scales and understand the cross spatial scale difference, rice ET under WSI condition at canopy (ETCML) and field scale (ETEC) were measured simultaneously by mini-lysimeter and eddy covariance (EC) in the rice season of 2014. To overcome the shortage of energy balance deficit by EC system, and evaluate the influence of energy balance closure degree on ETEC, ETEC was corrected as $${\text{ET}}_{\text{EC}}^{*}$$ ET EC ∗ by energy balance closure correction according to the evaporative fraction. Seasonal average daily ETEC, $${\text{ET}}_{\text{EC}}^{*}$$ ET EC ∗ and ETCML of rice under WSI practice were estimated as 3.12, 4.03 and 4.35 mm day−1, smaller than the values reported in flooded paddy fields. Daily ETEC, $${\text{ET}}_{\text{EC}}^{*}$$ ET EC ∗ and ETCML varied in a similar trends and reached the maximum in late tillering, then decreased along with the crop growth in late season. The value of ETEC was much lower than ETCML, and was frequently 1–2 h lagged behind ETCML. It indicated that the energy balance deficit resulted in underestimation of crop ET by EC system. The corrected value of $${\text{ET}}_{\text{EC}}^{*}$$ ET EC ∗ matched ETCML much better than ETEC, with a smaller RMSE (0.086 mm h−1) and higher R 2 (0.843) and IOA (0.961). The time lapse between $${\text{ET}}_{\text{EC}}^{*}$$ ET EC ∗ and ETCML was mostly shortened to less than 0.5 h. The multiple stepwise regression analysis indicated that net radiation (R n) is the dominant factor for rice ET, and soil moisture (θ) is another significant factor (p < 0.01) in WSI rice fields. The difference between ETCML and $${\text{ET}}_{\text{EC}}^{*}$$ ET EC ∗ ( $${\text{ET}}_{\text{CML}} - {\text{ET}}_{\text{EC}}^{*}$$ ET CML - ET EC ∗ ) were significantly (p < 0.05) correlated with R n, air temperature (T a), and air vapor pressure deficit (D), and its partial correlation coefficients to R n and T a were slightly greater than D. Thus, R n, T a and D are important variables for understanding the spatial scale effect of rice ET in WSI fields, and for its cross scale conversion. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Meteorology and Atmospheric Physics Springer Journals

Rice evapotranspiration at the field and canopy scales under water-saving irrigation

Loading next page...
 
/lp/springer_journal/rice-evapotranspiration-at-the-field-and-canopy-scales-under-water-WPXsqhOKTI
Publisher
Springer Vienna
Copyright
Copyright © 2017 by Springer-Verlag Wien
Subject
Earth Sciences; Atmospheric Sciences; Meteorology; Math. Appl. in Environmental Science; Terrestrial Pollution; Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution
ISSN
0177-7971
eISSN
1436-5065
D.O.I.
10.1007/s00703-017-0507-z
Publisher site
See Article on Publisher Site

Abstract

Evapotranspiration (ET) is an important process of land surface water and thermal cycling, with large temporal and spatial variability. To reveal the effect of water-saving irrigation (WSI) on rice ET at different spatial scales and understand the cross spatial scale difference, rice ET under WSI condition at canopy (ETCML) and field scale (ETEC) were measured simultaneously by mini-lysimeter and eddy covariance (EC) in the rice season of 2014. To overcome the shortage of energy balance deficit by EC system, and evaluate the influence of energy balance closure degree on ETEC, ETEC was corrected as $${\text{ET}}_{\text{EC}}^{*}$$ ET EC ∗ by energy balance closure correction according to the evaporative fraction. Seasonal average daily ETEC, $${\text{ET}}_{\text{EC}}^{*}$$ ET EC ∗ and ETCML of rice under WSI practice were estimated as 3.12, 4.03 and 4.35 mm day−1, smaller than the values reported in flooded paddy fields. Daily ETEC, $${\text{ET}}_{\text{EC}}^{*}$$ ET EC ∗ and ETCML varied in a similar trends and reached the maximum in late tillering, then decreased along with the crop growth in late season. The value of ETEC was much lower than ETCML, and was frequently 1–2 h lagged behind ETCML. It indicated that the energy balance deficit resulted in underestimation of crop ET by EC system. The corrected value of $${\text{ET}}_{\text{EC}}^{*}$$ ET EC ∗ matched ETCML much better than ETEC, with a smaller RMSE (0.086 mm h−1) and higher R 2 (0.843) and IOA (0.961). The time lapse between $${\text{ET}}_{\text{EC}}^{*}$$ ET EC ∗ and ETCML was mostly shortened to less than 0.5 h. The multiple stepwise regression analysis indicated that net radiation (R n) is the dominant factor for rice ET, and soil moisture (θ) is another significant factor (p < 0.01) in WSI rice fields. The difference between ETCML and $${\text{ET}}_{\text{EC}}^{*}$$ ET EC ∗ ( $${\text{ET}}_{\text{CML}} - {\text{ET}}_{\text{EC}}^{*}$$ ET CML - ET EC ∗ ) were significantly (p < 0.05) correlated with R n, air temperature (T a), and air vapor pressure deficit (D), and its partial correlation coefficients to R n and T a were slightly greater than D. Thus, R n, T a and D are important variables for understanding the spatial scale effect of rice ET in WSI fields, and for its cross scale conversion.

Journal

Meteorology and Atmospheric PhysicsSpringer Journals

Published: Feb 11, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off