Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Implementation of evolutionary computing models for reference evapotranspiration modeling: short review, assessment and possible future research directions
Department of Computer Science, Baoji University of Arts and Sciences, Shaanxi, People’s Republic of China. Faculty of Computer Systems & Software Engineering, University Malaysia Pahang, Pahang, Malaysia.
Sustainable Developments in Civil Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia.
Department of Computer Science, Thapar Institute of Engineering and Technology, Patiala, India.
Show others and affiliations
2019 (English)In: Engineering Applications of Computational Fluid Mechanics, ISSN 1994-2060, E-ISSN 1997-003X, Vol. 13, no 1, p. 811-823Article in journal (Refereed) Published
Abstract [en]

Evapotranspiration is one of the most important components of the hydrological cycle as it accounts for more than two-thirds of the global precipitation losses. Indeed, the accurate prediction of reference evapotranspiration (ETo) is highly significant for many watershed activities, including agriculture, water management, crop production and several other applications. Therefore, reliable estimation of ETo is a major concern in hydrology. ETo can be estimated using different approaches, including field measurement, empirical formulation and mathematical equations. Most recently, advanced machine learning models have been developed for the estimation of ETo. Among several machine learning models, evolutionary computing (EC) has demonstrated a remarkable progression in the modeling of ETo. The current research is devoted to providing a new milestone in the implementation of the EC algorithm for the modeling of ETo. A comprehensive review is conducted to recognize the feasibility of EC models and their potential in simulating ETo in a wide range of environments. Evaluation and assessment of the models are also presented based on the review. Finally, several possible future research directions are proposed for the investigations of ETo using EC.

Place, publisher, year, edition, pages
UK: Taylor & Francis, 2019. Vol. 13, no 1, p. 811-823
Keywords [en]
evapotranspiration prediction, state of the art, evolutionary computing models input variability, future research directions
National Category
Engineering and Technology Geotechnical Engineering
Research subject
Soil Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-75455DOI: 10.1080/19942060.2019.1645045ISI: 000480241200001OAI: oai:DiVA.org:ltu-75455DiVA, id: diva2:1341550
Note

Validerad;2019;Nivå 2;2019-08-13 (johcin)

Available from: 2019-08-09 Created: 2019-08-09 Last updated: 2019-08-30Bibliographically approved

Open Access in DiVA

fulltext(1907 kB)5 downloads
File information
File name FULLTEXT01.pdfFile size 1907 kBChecksum SHA-512
674ac3df4057a45fc4d0be4e7b497a5c253311868588749f9fd33b3d895724f52a7b1a0e4f86297ea4213f32415ed96dcb2ddc0bfe2049804686d0fb531499a1
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Al-Ansari, Nadhir
By organisation
Mining and Geotechnical Engineering
In the same journal
Engineering Applications of Computational Fluid Mechanics
Engineering and TechnologyGeotechnical Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 5 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 35 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf