NDLI: Comparison between gene expression programming and traditional models for estimating evapotranspiration under hyper arid Conditions

Content Provider	Springer Nature Link
Author	Yassin, Mohamed A. Alazba, Abdulrahman A. Mattar, Mohamed A.
Copyright Year	2016
Abstract	Gene Expression Programming (GEP) was used to develop new mathematical equations for estimating daily reference evapotranspiration (ET $_{ref}$) for the Kingdom of Saudi Arabia. The daily climatic variables were collected by 13 meteorological stations from 1980 to 2010. The GEP models were trained on 65% of the climatic data and tested using the remaining 35%. The generalised Penman-Monteith model was used as a reference target for evapotranspiration (ET) values, with h $_{c}$ varies from 5 to 105 cm with increment of a centimetre. Eight GEP models have been compared with four locally calibrated traditional models (Hargreaves-Samani, Irmak, Jensen-Haise and Kimberly-Penman). The results showed that the statistical performance criteria values such as determination coefficients (R $^{2}$) ranged from as low as 64.4% for GEP-MOD1, where the only parameters included (maximum, minimum, and mean temperature and crop height), to as high as 95.5% for GEP-MOD8 with which all climatic parameters included (maximum, minimum and mean temperature; maximum, minimum and mean humidity; solar radiation; wind speed; and crop height). Moreover, an interesting founded result is that the solar radiation has almost no effect on ET $_{ref}$ under the hyper arid conditions. In contrast, the wind speed and plant height have a great positive impact in increasing the accuracy of calculating ET $_{ref}$. Furthermore, eight GEP models have obtained better results than the locally calibrated traditional ET $_{ref}$ equations.
Starting Page	412
Ending Page	427
Page Count	16
File Format	PDF
ISSN	00978078
Journal	Water Resources
Volume Number	43
Issue Number	2
e-ISSN	1608344X
Language	English
Publisher	Pleiades Publishing
Publisher Date	2016-04-02
Publisher Place	Moscow
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	arid conditions reference evapotranspiration gene expression programming traditional models Hydrogeology Hydrology/Water Resources Waste Water Technology Water Pollution Control Water Management Aquatic Pollution
Content Type	Text
Resource Type	Article
Subject	Water Science and Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Evaluating and Calibrating Reference Evapotranspiration Models Using Water Balance under Hyper-Arid Environment

Erratum: Estimating groundwater evapotranspiration rates using diurnal water-table fluctuations in a semi-arid riparian zone

Comparison of Clark, Nash Geographical Instantaneous Unit Hydrograph models for semi arid regions

Estimating groundwater evapotranspiration rates using diurnal water-table fluctuations in a semi-arid riparian zone

Estimating recharge at Yucca Mountain, Nevada, USA: comparison of methods

Comparison between M5 Model Tree and Neural Networks for Estimating Reference Evapotranspiration in an Arid Environment

Korea has no water scarcity!

Management of groundwater resources in arid areas case study: North Sinai, Egypt

Gas exchange between Baikal and the atmosphere during under-ice period

Comparison between gene expression programming and traditional models for estimating evapotranspiration under hyper arid Conditions

Similar Documents

Evaluating and Calibrating Reference Evapotranspiration Models Using Water Balance under Hyper-Arid Environment

Erratum: Estimating groundwater evapotranspiration rates using diurnal water-table fluctuations in a semi-arid riparian zone

Comparison of Clark, Nash Geographical Instantaneous Unit Hydrograph models for semi arid regions

Estimating groundwater evapotranspiration rates using diurnal water-table fluctuations in a semi-arid riparian zone

Estimating recharge at Yucca Mountain, Nevada, USA: comparison of methods

Comparison between M5 Model Tree and Neural Networks for Estimating Reference Evapotranspiration in an Arid Environment

Korea has no water scarcity!

Management of groundwater resources in arid areas case study: North Sinai, Egypt

Gas exchange between Baikal and the atmosphere during under-ice period

Comparison between gene expression programming and traditional models for estimating evapotranspiration under hyper arid Conditions