Investigation of Spatial and Temporal Variation of Water Requirement of Ghazvin Desert, Using METRIC Algorithm and Landsat Images

The knowledge of spatial and temporal distribution of water requirement provides a relationship between land use, water allocation and consumption that can lead to an appropriate management of water resources. In the present study, based on mapping of spatial and temporal water requirement distribut...

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Main Authors: Safar Marofi, Roya Mousavi, Omid Nasiri-Gheidari
Format: Article
Language:fas
Published: Afarand Scholarly Publishing Institute 2017-09-01
Series:تحقيقات جغرافيايی
Subjects:
Online Access:http://georesearch.ir/article-1-216-en.html
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author Safar Marofi
Roya Mousavi
Omid Nasiri-Gheidari
author_facet Safar Marofi
Roya Mousavi
Omid Nasiri-Gheidari
author_sort Safar Marofi
collection DOAJ
description The knowledge of spatial and temporal distribution of water requirement provides a relationship between land use, water allocation and consumption that can lead to an appropriate management of water resources. In the present study, based on mapping of spatial and temporal water requirement distribution and applicability of METRIC Algorithm was assessed for estimating daily evapotranspiration and seasonal water requirement, as well as crop coefficient in Qazvin highland desert. For this purpose, five high resolution (30m×30m) Landsat 7 ETM+ images were used during April to November 2000, as the agricultural activity period. The latent heat flux of evapotranspiration and instantaneous evapotranspiration were obtained based on the algorithm. The instantaneous evapotranspiration was extended to a daily scale and to the whole growing season through two extrapolation procedures. The accuracy of the maps was analyzed using lysimetric of alfalfa and maps of the produced crop coefficient were evaluated by using lysimetric of alfalfa and grass. Results indicated that relative error in crop coefficient estimation was between 0.053 and 0.138. Comparison of estimated and measured evapotranspiration demonstrated an appropriate consistency between results (r=0.92 and RMSE=0.60 mm/day). The amount of evapotranspiration at the pixel of the lysimeter location was estimated 1232 mm during the studied period. The findings revealed that METRIC algorithm can be applied as an effective, practical and affordable approach in accurate estimation of actual evapotranspiration at semi-arid and arid highlands area.
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spelling doaj.art-71dde60d2c80409abfde0ff05de12af82022-12-22T00:18:03ZfasAfarand Scholarly Publishing Instituteتحقيقات جغرافيايی1019-70522538-43842017-09-013228092Investigation of Spatial and Temporal Variation of Water Requirement of Ghazvin Desert, Using METRIC Algorithm and Landsat ImagesSafar Marofi0Roya Mousavi1Omid Nasiri-Gheidari2 Department Of Water Engineering,Bu-Ali Sina University, Hamedan, Iran Department Of Water Engineering,Bu-Ali Sina University, Hamedan, Iran Department Of Water Engineering,Bu-Ali Sina University, Hamedan, Iran The knowledge of spatial and temporal distribution of water requirement provides a relationship between land use, water allocation and consumption that can lead to an appropriate management of water resources. In the present study, based on mapping of spatial and temporal water requirement distribution and applicability of METRIC Algorithm was assessed for estimating daily evapotranspiration and seasonal water requirement, as well as crop coefficient in Qazvin highland desert. For this purpose, five high resolution (30m×30m) Landsat 7 ETM+ images were used during April to November 2000, as the agricultural activity period. The latent heat flux of evapotranspiration and instantaneous evapotranspiration were obtained based on the algorithm. The instantaneous evapotranspiration was extended to a daily scale and to the whole growing season through two extrapolation procedures. The accuracy of the maps was analyzed using lysimetric of alfalfa and maps of the produced crop coefficient were evaluated by using lysimetric of alfalfa and grass. Results indicated that relative error in crop coefficient estimation was between 0.053 and 0.138. Comparison of estimated and measured evapotranspiration demonstrated an appropriate consistency between results (r=0.92 and RMSE=0.60 mm/day). The amount of evapotranspiration at the pixel of the lysimeter location was estimated 1232 mm during the studied period. The findings revealed that METRIC algorithm can be applied as an effective, practical and affordable approach in accurate estimation of actual evapotranspiration at semi-arid and arid highlands area.http://georesearch.ir/article-1-216-en.htmlinstantaneous evapotranspirationqazvin desertlandsat 7metricregional water requirement.
spellingShingle Safar Marofi
Roya Mousavi
Omid Nasiri-Gheidari
Investigation of Spatial and Temporal Variation of Water Requirement of Ghazvin Desert, Using METRIC Algorithm and Landsat Images
تحقيقات جغرافيايی
instantaneous evapotranspiration
qazvin desert
landsat 7
metric
regional water requirement.
title Investigation of Spatial and Temporal Variation of Water Requirement of Ghazvin Desert, Using METRIC Algorithm and Landsat Images
title_full Investigation of Spatial and Temporal Variation of Water Requirement of Ghazvin Desert, Using METRIC Algorithm and Landsat Images
title_fullStr Investigation of Spatial and Temporal Variation of Water Requirement of Ghazvin Desert, Using METRIC Algorithm and Landsat Images
title_full_unstemmed Investigation of Spatial and Temporal Variation of Water Requirement of Ghazvin Desert, Using METRIC Algorithm and Landsat Images
title_short Investigation of Spatial and Temporal Variation of Water Requirement of Ghazvin Desert, Using METRIC Algorithm and Landsat Images
title_sort investigation of spatial and temporal variation of water requirement of ghazvin desert using metric algorithm and landsat images
topic instantaneous evapotranspiration
qazvin desert
landsat 7
metric
regional water requirement.
url http://georesearch.ir/article-1-216-en.html
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AT royamousavi investigationofspatialandtemporalvariationofwaterrequirementofghazvindesertusingmetricalgorithmandlandsatimages
AT omidnasirigheidari investigationofspatialandtemporalvariationofwaterrequirementofghazvindesertusingmetricalgorithmandlandsatimages