Dynamic water level responses and drought-flood risk assessment at Yangtze River Datong station from GNSS-IR

doi:10.13474/j.cnki.11-2246.2025.1116

Abstract

Abstract: Affected by the global climate change and human activities,the dynamics of river water levels have become increasingly complex and varied.Drought and flood disasters pose significant threats to the ecological safety and socio-economic development of river basins.Nowadays,GNSS interferometric reflectometry (GNSS-IR) provide a unique means to invert water levels and assess drought-flood risk.This study uses ground-based GNSS multi-path reflectometry data to invert water level data at the Yangtze River Datong station from August 2023 to July 2024,and analyzes water level dynamic response characteristics and drought-flood risk assessment in conjunction with hydrological and meteorological factors.The results show that during the flood season,water level dynamics are primarily driven by rainfall,exhibiting trends similar to changes in runoff,indicating that heavy rainfall events directly elevate water levels.Long-term water level changes exhibit clear seasonal and dynamic response patterns,with correlation coefficients of 0.73,0.74,and 0.89 for temperature,precipitation,and runoff,respectively.Additionally,based on the standardized water level index (SWI),eight drought and flood events of varying risk levels were identified during the study period.Three of these events reached moderate drought/flood risk,all concentrated in the summer of 2023,with daily average water level changes exceeding 0.1 m/d.The analysis of water level dynamics and the assessment of drought-flood risk demonstrate the performance and application potential of GNSS-IR technology in river water level monitoring.

Key words: GNSS-IR, SNR, water level, Yangtze River, standardized water-level index

CLC Number:

P228

CHEN Zilong, JIN Shuanggen. Dynamic water level responses and drought-flood risk assessment at Yangtze River Datong station from GNSS-IR[J]. Bulletin of Surveying and Mapping, 2025, 0(11): 104-109.

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