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[1]Zhang Hanbo,Dou Shiqing,Wen Ying.Analysis of Spatiotemporal Dynamics of Precipitation in Southwest China Based on Remote Sensing Precipitation Products[J].Research of Soil and Water Conservation,2024,31(05):265-278.[doi:10.13869/j.cnki.rswc.2024.05.030]

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Analysis of Spatiotemporal Dynamics of Precipitation in Southwest China Based on Remote Sensing Precipitation Products

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 31 Number of periods: 2024 05 Page number: 265-278 Column: Public date: 2024-08-10

Title:: Analysis of Spatiotemporal Dynamics of Precipitation in Southwest China Based on Remote Sensing Precipitation Products

Author(s):: Zhang Hanbo¹, Dou Shiqing², Wen Ying³; (1.Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510308, China; 2.College of Geomatics and Geoinformation, Guilin University of Technology, Guilin University of Technology, Guilin, Guangxi 541006, China; 3.College of Geological Engineering and Geomatics, Chang' an University, Xi'an 710054, China)

Keywords:: GPM IMERG; TRMM 3B43; remote sensing technique; applicability evaluation; spatio-temporal dynamic analysis

CLC:: P426.616

DOI:: 10.13869/j.cnki.rswc.2024.05.030

Abstract:: [Objective]The aims of this study are to explore the applicability of remote sensing precipitation products in southwest China, to reveal the spatial and temporal characteristics of precipitation in Southwest China, and to provide scientific references for the assessment of droughts and floods in southwest China and the utilization of water resources. [Methods]Firstly, combined with precipitation data from 100 ground-based meteorological stations in the study region, the applicability of TRMM and GPM precipitation products were evaluated on both the multi-year average and inter-annual scales, as well as the meteorological station scale. Subsequently, based on the preferred remote sensing precipitation product, the coefficient of variation method, Theil-Sen median trend analysis coupled with Mann-Kendall significance test and Hurst exponent were adopted to analyze spatiotemporal changes of precipitation and assess their sustainability. Moreover, our effort predicted the precipitation trends in the future. [Results](1)Both TRMM and GPM products demonstrated good consistency and applicability in southwest China, albeit with some overestimation. However, compared with TRMM, GPM displayed a higher spatial resolution and better data quality, which was overall closer to the measured data.(2)Precipitation in southwest China had experienced low and moderate fluctuations over the past 19 years, with 87.54% of the region. The trend for precipitation changes in this region had mostly been increasing(83.71%), mainly weak to moderate sustainability(50.38% weak, 24.30% moderate). The prediction for future precipitation trend as a whole suggested a general increase in precipitation, with 62.24% of the region showing increasing trends, mainly in the central part of the study region, and 13.23% showing trends, mainly in the central Yunnan and southwestern Sichuan regions. This effort provided valuable insights for decision-making related to agricultural production and water resources management in southwest China. [Conclusion]GPM is more suitable than TRMM to characterize the precipitation characteristics in southwest China and can be effectively used to carry out spatiotemporal dynamic analysis of precipitation.

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Last Update: 2024-08-10