详细信息
Statistical downscaling of GRACE TWSA estimates to a 1-km spatial resolution for a local-scale surveillance of flooding potential ( SCI-EXPANDED收录 EI收录) 被引量:12
文献类型:期刊文献
英文题名:Statistical downscaling of GRACE TWSA estimates to a 1-km spatial resolution for a local-scale surveillance of flooding potential
作者:Khorrami, Behnam[1,2];Pirasteh, Saied[1];Ali, Shoaib[3];Sahin, Onur Gungor[4];Vaheddoost, Babak[5]
机构:[1]Shaoxing Univ, Inst Artificial Intelligence, Sch Mech & Elect Engn, 508 West Huancheng Rd, Yuecheng Dist 312000, Zhejiang, Peoples R China;[2]Dokuz Eylul Univ, Grad Sch Appl & Nat Sci, Dept GIS, Izmir, Turkiye;[3]Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen 518005, Peoples R China;[4]Izmir Inst Technol, Dept Int Water Resources, Izmir, Turkiye;[5]Bursa Tech Univ, Dept Civil Engn, Bursa, Turkiye
年份:2023
卷号:624
外文期刊名:JOURNAL OF HYDROLOGY
收录:SCI-EXPANDED(收录号:WOS:001051288600001)、、EI(收录号:20233114458484)、Scopus(收录号:2-s2.0-85166018276)、WOS
语种:英文
外文关键词:Downscaling; Flood potential; GRACE; Random forest model; TWSA
外文摘要: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 Turkiye 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.
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