Effect of projected climate change on potential evapotranspiration in the semiarid region of central India

The performance of potential evapotranspiration (PET) methods such as pan evaporation (physical measurement), empirical formulas (Penman–Monteith (PM), Hargreaves and Thornthwaite) and satellite-derived PET (MOD16) were assessed in a semiarid region of central India. The satellite-based PET was obta...

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Autores principales:	Darshana Duhan, Dharmendra Singh, Sandeep Arya
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	india ls-svm modis penman–monteith method potential evapotranspiration tons river basin Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/88d589cea2e7413c92dcf0113bec67ba
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spelling	oai:doaj.org-article:88d589cea2e7413c92dcf0113bec67ba2021-11-05T19:02:05ZEffect of projected climate change on potential evapotranspiration in the semiarid region of central India2040-22442408-935410.2166/wcc.2020.168https://doaj.org/article/88d589cea2e7413c92dcf0113bec67ba2021-08-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/5/1854https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354The performance of potential evapotranspiration (PET) methods such as pan evaporation (physical measurement), empirical formulas (Penman–Monteith (PM), Hargreaves and Thornthwaite) and satellite-derived PET (MOD16) were assessed in a semiarid region of central India. The satellite-based PET was obtained from Moderate Resolution Imaging Spectroradiometer (MODIS). The comparisons between different methods were made with observed pan evaporation (ETpan) data to identify the best method for the semiarid region. Further, the future projection of PET was carried out using RCP4.5 emission scenarios of seven CMIP5 models. Two approaches were applied for the projection of PET. In the first approach, RCP4.5 scenario data are directly used in the PM method, and in the second approach, these variables are used as a predictor in the calibrated and validated least square support vector machine (LS-SVM) model. The projection of PET was made using the best-identified model among PM and LS-SVM from the years 2006–2100. The results show that MOD16 and Hargreaves overestimate the PET; however, PM and Thornwaite underestimate the PET. PM based PET is closely related with ETpan and is a good indicator of ETpan in a semiarid region. GFDL-ESM2M is identified as the most skillful CMIP5 model, and results show that PET is projected to increase in future using the LS-SVM model. HIGHLIGHTS The PET estimation methods, namely empirical and satellite-based PET, were evaluated and compared with ground-based observed ET.; Satellite-based PET is closely matching with ground-based PET in wet season.; Satellite-based PET can be used after applying a suitable correction factor in the study area.; The PM method was found suitable for the semiarid region.; PET is projected to increase in future using CMIP5 models.;Darshana DuhanDharmendra SinghSandeep AryaIWA Publishingarticleindials-svmmodispenman–monteith methodpotential evapotranspirationtons river basinEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 5, Pp 1854-1870 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	india ls-svm modis penman–monteith method potential evapotranspiration tons river basin Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
spellingShingle	india ls-svm modis penman–monteith method potential evapotranspiration tons river basin Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Darshana Duhan Dharmendra Singh Sandeep Arya Effect of projected climate change on potential evapotranspiration in the semiarid region of central India
description	The performance of potential evapotranspiration (PET) methods such as pan evaporation (physical measurement), empirical formulas (Penman–Monteith (PM), Hargreaves and Thornthwaite) and satellite-derived PET (MOD16) were assessed in a semiarid region of central India. The satellite-based PET was obtained from Moderate Resolution Imaging Spectroradiometer (MODIS). The comparisons between different methods were made with observed pan evaporation (ETpan) data to identify the best method for the semiarid region. Further, the future projection of PET was carried out using RCP4.5 emission scenarios of seven CMIP5 models. Two approaches were applied for the projection of PET. In the first approach, RCP4.5 scenario data are directly used in the PM method, and in the second approach, these variables are used as a predictor in the calibrated and validated least square support vector machine (LS-SVM) model. The projection of PET was made using the best-identified model among PM and LS-SVM from the years 2006–2100. The results show that MOD16 and Hargreaves overestimate the PET; however, PM and Thornwaite underestimate the PET. PM based PET is closely related with ETpan and is a good indicator of ETpan in a semiarid region. GFDL-ESM2M is identified as the most skillful CMIP5 model, and results show that PET is projected to increase in future using the LS-SVM model. HIGHLIGHTS The PET estimation methods, namely empirical and satellite-based PET, were evaluated and compared with ground-based observed ET.; Satellite-based PET is closely matching with ground-based PET in wet season.; Satellite-based PET can be used after applying a suitable correction factor in the study area.; The PM method was found suitable for the semiarid region.; PET is projected to increase in future using CMIP5 models.;
format	article
author	Darshana Duhan Dharmendra Singh Sandeep Arya
author_facet	Darshana Duhan Dharmendra Singh Sandeep Arya
author_sort	Darshana Duhan
title	Effect of projected climate change on potential evapotranspiration in the semiarid region of central India
title_short	Effect of projected climate change on potential evapotranspiration in the semiarid region of central India
title_full	Effect of projected climate change on potential evapotranspiration in the semiarid region of central India
title_fullStr	Effect of projected climate change on potential evapotranspiration in the semiarid region of central India
title_full_unstemmed	Effect of projected climate change on potential evapotranspiration in the semiarid region of central India
title_sort	effect of projected climate change on potential evapotranspiration in the semiarid region of central india
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/88d589cea2e7413c92dcf0113bec67ba
work_keys_str_mv	AT darshanaduhan effectofprojectedclimatechangeonpotentialevapotranspirationinthesemiaridregionofcentralindia AT dharmendrasingh effectofprojectedclimatechangeonpotentialevapotranspirationinthesemiaridregionofcentralindia AT sandeeparya effectofprojectedclimatechangeonpotentialevapotranspirationinthesemiaridregionofcentralindia
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Effect of projected climate change on potential evapotranspiration in the semiarid region of central India

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