Statistical downscaling of GRACE TWSA estimates to a 1-km spatial resolution for a local-scale surveillance of flooding potential

Khorrami，Behnam1,2; Pirasteh，Saied1; Ali，Shoaib3; Sahin，Onur Gungor4; Vaheddoost，Babak5

2023-09-01

10.1016/j.jhydrol.2023.129929

Journal of Hydrology   Impact Factor & Quartile

0022-1694

1879-2707

The Gravity Recovery and Climate Experiment (GRACE) paved the way for large-scale monitoring of the hydrological extremes. However, local scale analysis is aslo challenging due to the coarse resolution of the GRACE estimates. The feasibility of the downscaled GRACE data for the flood monitoring in the Kizilirmak Basin (KB) in Türkiye is investigated in this study by integrating the GRACE and hydrological model outputs of a random forest approach. Results suggest that the TWSA, over the Asagi Kizilirmak Basin (AKB), is ascending with an annual rate of +3.51mm/yr; while the Orta Kizilirmak Basin (OKB), Yukari Kizilirmak Basin (YKB), Delice Basin (DB), Develi Kapali Basin (DKB), and Seyfe Kapali Basin (SKB) showed descending trend respectively as -1.15mm/yr, -1.58mm/yr, -1.14mm/yr, -2.34mm/yr, and -1.31mm/yr. The hydrological status of the basin showed that in 2003, 2005, 2010–2013, and 2015–2016 periods the study area was prone to the inundation. Hence, by validating the Flood Potential Index (FPI) rates acquired from the downscaled GRACE data, it was shown that the best correlation coefficient (0.73) between FPI and streamflow (Q) is associated with the SKB. It is also concluded that the downscaled TWSA associated with the fine-resolution models depicts acceptable accuracy in determination of the flood potential at local scales.

Downscaling Flood potential GRACE Random forest model TWSA

SCI

English

Others

Engineering ; Geology ; Water Resources

Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources

WOS:001051288600001

ELSEVIER

ENGINEERING

2-s2.0-85166018276

Scopus

1.Institute of Artificial Intelligence,School of Mechanical and Electrical Engineering,Shaoxing University,508 West Huancheng Road, Yuecheng District, Zhejiang Province,Postal Code 312000,China
2.Department of GIS,The Graduate School of Applied and Natural Sciences,Dokuz Eylul University,Izmir,Turkey
3.Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,518005,China
4.Department of International Water Resources,Izmir Institute of Technology,Izmir,Turkey
5.Department of Civil Engineering,Bursa Technical University,Bursa,Turkey

Khorrami，Behnam,Pirasteh，Saied,Ali，Shoaib,et al. Statistical downscaling of GRACE TWSA estimates to a 1-km spatial resolution for a local-scale surveillance of flooding potential[J]. Journal of Hydrology,2023,624.

Khorrami，Behnam,Pirasteh，Saied,Ali，Shoaib,Sahin，Onur Gungor,&Vaheddoost，Babak.(2023).Statistical downscaling of GRACE TWSA estimates to a 1-km spatial resolution for a local-scale surveillance of flooding potential.Journal of Hydrology,624.

Khorrami，Behnam,et al."Statistical downscaling of GRACE TWSA estimates to a 1-km spatial resolution for a local-scale surveillance of flooding potential".Journal of Hydrology 624(2023).