Assessment of GRACE satellite data for estimating the groundwater level changes in Qazvin province

Document Type : Research Article

Authors

1 MSc. in Irrigation and Drainage, University of Guilan, Rasht, Iran

2 Assistant Professor, Department of Water Engineering, Imam Khomeini International University, Iran

3 Assistant Professor, Department of Water Engineering, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran

Abstract

Given that Qazvin Province is ranked as the seventh dry place in the country, it is necessary  to manage vast water resources in this province. Water storage estimation methods have been developed over the years and observation of changes in the gravitational field by satellite GRACE is one of these methods. This satellite produces a series of water storage changes data with spatial resolution of 1 ° on a regional scale. This study aimed to evaluate data from GRACE satellites in Qazvin province to find a comprehensive solution for quick and easy access to water resources. To validate the GRACE satellite data, land surface model data (GLDAS) and wells data in the region were used. The results show that the GRACE satellites as a Gravity satellite just produced to estimate changes in Earth's water supply, give a good estimate of the changes in the ground water storage and groundwater level changes. Statistical analysis showed that RMSE =5.54, MAE = 4.16 and MBE = 1.5 the seasonal scale in millimetre between groundwater level data from the GRACE satellites and observation wells, and RMSE =2.92, MAE = 4.24 and MBE =0.184 month scale in centimetre between the data changes in land water storage from GRACE satellite and GLDAS model. Also, the correlation between changes in water storage data from the GRACE satellite and GLDAS model and groundwater level changes from GRACE satellite and observational data is significant at the 99% probability level. The results showed that GRACE satellite shows terrestrial water storage changes better than GLDAS model.

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Main Subjects

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Iranian journal of Ecohydrology
Volume 4, Issue 2
June 2017
Pages 463-476

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History

  • Receive Date: 07 December 2016
  • Revise Date: 11 February 2017
  • Accept Date: 15 March 2017
  • First Publish Date: 22 June 2017
  • Publish Date: 22 June 2017

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