Changes in Water Surface of Aquifers Using GRACE Satellite Data in the Google Earth Engine: A Study of the Urmia Lake Watershed From 2002 to 2017

Document Type : Research Paper

Authors

1 Master’s Student, Faculty of Geography, University of Tehran, Tehran, Iran

2 Assistant Professor, Faculty of Geography, University of Tehran, Tehran, Iran

Abstract

Investigating the changes in groundwater aquifers in planning the sustainable management of water resources in each region is of particular importance. Therefore, reducing the level of groundwater aquifer changes requires proper management and planning to exploit water resources. In this study, the level of groundwater aquifer changes in Urmia Lake basin was examined for the period from 2002 to 2017 using GRACE satellite data (JPL, GFZ, CSR triple bands, CRI Filtered model, time and space filter, and Lew-Thiknth uncertainty dry product) in the Google Earth Engine. The results of the triple bands showed that the JPL band estimated the average level of groundwater aquifer changes on May 1, 2004 as 14.947 cm, while the GFZ band on estimated this as -30.558 cm on September 1, 2015 and the CSR band estimated this amount as -28.206 cm. Therefore, CRI Filtered model can very accurately identify the boundary between land and water zones. The results showed that this model estimated the maximum thickness of liquid water in the groundwater aquifer at March 31, 2002 as about 11.599 cm and its uncertainty at about 9.767 cm. It can be said that the least amount of thickness of liquid water is estimated on 13 August 2015 as 12.309 cm with an uncertainty level of 10.759 cm. According to the results, the level of groundwater change in aquifers in terms of liquid water thickness parameter (Lew-Thiknth) in the northern parts of the Urmia Lake basin and in terms of uncertainty in the northeastern part of the Urmia Lake basin is experiencing a strong decline in the aquifer water levels.

Keywords

Main Subjects


Alizadeh, A. (2007). Principles of Applied Hydrology, Imam Reza University Press. (in Persian)
Adhikary, S., Das, K., Saha, S. K., & Chaki, T. (2013). “Groundwater drought assessment for Barind irrigation Project in Northwestern Bangladesh”, 20th International Congress on Modeling and Simulation, Adelaide, Australia, 1–6 December.
Afzal-Oli, R. (1998). “Evaluation of the effects of flood spreading on artificial nutrition of groundwater aquifer in Mosian plain (Ilam province)”, Master Thesis, Shahid Chamran University of Ahvaz, 154 p. (in Persian)
Amirataee, B. & Zeinalzadeh, K. (2016). “Trends analysis of quantitative and qualitative changes in groundwater with considering the autocorrelation coefficients in west of Lake Urmia”, Environmental Earth Sciences, 75(5), pp. 1-10. (in Persian)
Ashrafzade, A., Judaki, GH., & Sharif, M. (2015). “Iran's groundwater resources assessment using data from the GRACE satellite gravity survey”, Journal of Research Science and Technology Mapping, 5(4), pp. 73-84. (in Persian)
Baharloui, M. (2013). “The effect of precipitation fluctuations on groundwater in Damaneh plain”, Master Thesis in Natural Geography Climatology in Environmental Planning, Supervisor: Abbas Ali Arvin, Payame Noor University of Isfahan. (in Persian)
Chen, Q., Shen, Y., Chen, W., Zhang, X., & Hsu, H. (2016). “An improved GRACE monthly gravity field solution by modeling the non-conservative acceleration and attitude observation errors”, Springer-Verlag Berlin Heidelberg, 90, pp. 503–523.
Falah, F., Ghorbani-Nejad, S., Rahmati, O., Daneshfar, M., & Zeinivand, H. (2016). “Applicability of generalised additive model in groundwater potential modelling and comparision its performance by bivariate statistical methods”, Geocarto International, 32(10), pp. 1069-1089. (in Persian)
Farrokhnia, A. & Morid, S. (2014). “Evaluation of the effects of rainfall and temperature on the flow of rivers in the catchment area of Lake Urmia”, Journal of Water and Sewerage, No. 3,, pp. 86-97. (in Persian)
Fathollahzadeh, F., Vosuogi, B., Raufian Naeini, M., & Mohebbi, M. (2016). “Comparison of the results of piezometric wells and observations of Grace gravimetric satellite in estimating groundwater changes”, Vol. 23, Geomatics Conference of Islamic Azad University, Tehran, Iran. (in Persian)
Hasheminejad, H. & Karimi Jashni, A. (2006). “Investigation of groundwater quality loss in Najafabad and Isfahan hydrological units during the years 76 to 83”, The first regional conference on the exploitation of water resources in the Karun Zayandehrud basins (opportunities and challenges). (in Persian)
Hindabadi, M. K. (1996). “Investigation of sediments in the areas of Lasjerd flood distribution in Semnan and its role in groundwater nutrition”, Master Thesis, Faculty of Natural Resources, Karaj, University of Tehran. (in Persian)
Javadanian, H. & Ahmadi Darani, M. (2016). “Irregular abstraction of groundwater resources and regional meeting: a case study of the city of Isfahan”, Journal of Water and Wastewater Science and Engineering, 1(1), pp. 49-60. (in Persian)
Joodaki, G. (2014). Earth Mass Change Tracking Using GRACE Satellite Gravity Data, Norwegian University of Science and Technology, Trondheim. (in Persian).
Khaki M, Forootan E, Kuhn M, AWange J, van Dijk A I J M, Schumacher M, Sharip M A.( 2018). Determining water storage Depletion within iran by Assimilatin GRACE data into the W3RA Hydrological Model, Advances in Water Resources. 114: 1-18.(in Persian). Khalilian, S. & Mehrjerdi, M. (2005). “Evaluation of groundwater in agricultural exploitation”, Agricultural Economics and Development, Year 13, No. 51, pp. 96-83. (in Persian)
Kiani, F., Abedini, M., & Ahmadzadeh, Gh. (2017). “Investigation of subsidence potential of Karaj city using weight integration method in GIS environment”, 3rd International Congress of Earth Sciences and Urban Development and the first conference on art, architecture and urban management, Tehran, Iran. (in Persian)
Kowsar, S. A. (1995). An Introduction to Flood Control and Optimal Utilization, Forest and Rangeland Research Institute, 552. (in Persian)
Lee, S., Seo, J., & Lee, SK. (2014). “Validation of Terrestrial Water Storage Change Estimates Using Hydrologic Simulation”, Journal of Water Resources and Ocean Science, 3(1), pp. 5-9.
Liu, B., Zhou, X., Li, W., Lu, C., & Shu, L. (2016). “Spatiotemporal Characteristics of Groundwater Drought and Its Response to Meteorological Drought in Jiangsu Province, China”, Water Journal, 8(11), 480.
Longuevergne, L., Scanlon, BR., & Wilson, CR. (2010). GRACE hydrological estimates for small basins: evaluating processing approaches on the High Pl ains Aquifer, USA. Water Resources Research, 46: W11517.DOI: 10.1029/2009WR008564.
Mackay, J. D., Jackson, C. R., & Wang, L. (2014). “A lumped conceptual model to simulate groundwater level time-series”, Environmental Modelling and Software, 61, pp. 229-245.
Rami lien, G, Famiglietti, JS, & Wahr, J. (2008). Detection of continental hydrology and glaciology signals from GRACE: a review, Surveys in Geophysics, 29, pp. 361–374. DOI: 10.1007/s10712-008- 9048-9.
Rezaei, R.  Maleki, A. Sarifi, M. Ghavami, A. (2010). “Evaluation of chemical pollution of groundwater resources in downstream areas of Sanandaj city landfill”, Journal of Kurdistan University of Medical Sciences, Vo. 15, pp. 1989-1998. (in Persian)
Wahr, J., Swenson, S., & Velicogna, I. (2006). Accuracy of GRACE mass estimates, Geophysical Research Letters 33: L06401.
Wulder, M. Michael A. Thomas R. David P.Roy, Christopher J.Crawford, Jeffrey G.Masek, Curtis E.WoodcockRichard G.Allen, Martha C.Anderson, Alan S.Belward, Warren B.CohenjJohnDwyerbAngelaErbkFengGaohPatrickGriffithslDennisHelder, TxominHermosilla,James D.Hipple,PatrickHostert…ZheZhu Current status of Landsat program, science, and applications. Remote sensing of environment, 2019. 225: p. 127-147.
(2019). “Current status of Landsat program, science, and applications”, Remote sensing of environment, 225, pp. 127-147.
Xiao, Y., GU, X., Yin, S., Shao, J., Cui, Y., Zhang, Q., & Niu, Y. (2016). “Geostatistical interpolation model selection based on ArcGIS and spatio-temporal variability analysis of groundwater level in piedmont plains, northwest China”, SpringerPlus, 5(1), pp. 1-15.
Zhang, W., Yan, Y., Zheng, J., Li, L., Dong, X., & CAI, H. (2009). “Temporal and spatial variability of annual extreme water level in the Pearl River Delta region, China”, Global and Planetary Change, 69(1), pp. 35-47.
Volume 13, Issue 1
Spring & Summer
April 2021
Pages 193-214
  • Receive Date: 12 June 2020
  • Revise Date: 20 September 2020
  • Accept Date: 20 September 2020