117
Views
11
CrossRef citations to date
0
Altmetric
Articles

Influence of evapotranspiration assessment on the accuracy of moisture transport modeling under the conditions of sprinkling irrigation in the south of Ukraine

, ORCID Icon, , &
Pages 1424-1435 | Received 08 Apr 2019, Accepted 26 Sep 2019, Published online: 09 Oct 2019
 

ABSTRACT

The paper presents the results of computational experiments for evaluating the impact of different evapotranspiration assessment methods usage on the accuracy of soil moisture dynamics simulation for the conditions of sprinkling irrigation. We consider a differential one-dimensional model of moisture transport stated in terms of water head which uses as an initial data the estimates of evapotranspiration according to the methods of Ivanov, Shtoiko, Penman–Monteith and SEBAL. The differential moisture transport model was discretized using the finite-difference scheme. Its unknown parameters values were found by solving an inverse problem using the metaheuristic particle swarm optimization algorithm. We perform water head modeling accuracy assessment using different methods of evapotranspiration evaluation along with their linear combination. The Ivanov’s method was found to be the most accurate in the conditions of soybean growing in the south of Ukraine under sprinkling irrigation while linear combination of four considered methods gives an additional increase of accuracy by 6.5%.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

Publications are based on the research provided by the grant support of the State Fund for Fundamental Research [project F76/33].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.