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Land Surface Deformation Monitoring of the SongYuan Langya Dam Using MT-InSAR

机译:MT-INSAR松原朗达大坝土地表面变形监测

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Conventional settlement monitoring methods are challenged to meet the demands of land deformation monitoring in complex landscapes. This is due to the small working coverage and low efficiency of leveling models or GPS. Synthetic Aperture Radar Interferometry (InSAR) has the unique advantage of combining telemetry, all-weather operation and large coverage, and is widely used in surface deformation monitoring. We studied the Langya Dam in Qian'an County, Jilin, China, using 21 Sentinel-1B images (C-band) acquired during September 2017 - May 2018. The temporal and spatial evolution of Langya Dam was measured using QPS-InSAR, and the variation characteristics of deformation was analyzed. The results show that the Langya dam trended upward during the monitoring period with an average deformation rate of 6.9 cm/a. The maximum cumulative deformation was 12.8 cm, and the deformation in the west was greater than that in the east. Accounting for the topography and the temperature changes at the Langya dam during the monitoring period, groundwater recharge and land surface frost heaving are the dominant factors in land deformation.
机译:传统的沉降监测方法受到挑战,以满足复杂景观中的土地变形监测需求。这是由于工作覆盖范围小,水平模型或GPS的低效率。合成孔径雷达干涉测量(INSAR)具有相结合遥测,全天候操作和大覆盖的独特优势,并且广泛用于表面变形监测。我们研究了中国吉林县吉林县的琅达大坝,2017年9月在2017年9月收购的21张Sentinel-1B图像(C-BAND)。使用QPS-Insar测量Langya Dam的时间和空间演变,分析了变形的变化特性。结果表明,在监测期内,朗达坝向上趋势,平均变形率为6.9厘米/ a。最大累积变形为12.8厘米,西部的变形大于东方的变形。在监测期间,朗达大坝的地形和温度变化,地下水补给和陆地表面冻结是土地变形的主导因素。

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