宋闖(長安大學地質工程與測繪學院副教授)

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宋闖,男,博士,長安大學地質工程與測繪學院副教授、碩士生導師,入選陝西省科協青年人才托舉計畫。主要研究方向影像大地測量學,包括空間對地觀測技術及地震、滑坡等重大自然災害探測、監測和快速回響、機理解譯等。

基本介紹

研究方向,學術成果,科研項目,學術論文,榮譽獎勵,

研究方向

主攻方向:影像大地測量學;合成孔徑雷達干涉測量(InSAR);地震、滑坡等自然災害研究。
具體套用:InSAR時間序列形變監測;光學、雷達遙感用於自然災害監測;地震誘發滑坡機制;礦區及城市地面沉降監測。

學術成果

科研項目

1.國家自然科學基金(青年項目):基於衛星雷達觀測研究地震加速滑坡的時空演變特徵;
2.國家重點研發計畫項目子課題:黃土高原基礎設施密集區重大鏈生災害精準監測與協同預警技術;
3.中國博士後科學基金第17批特別資助:黃土高原地震地質災害遙感智慧型化識別和應急編目;
4.中國博士後科學基金第73批面上資助:聯合InSAR和SAR偏移量追蹤方法探測我國強震加速滑坡;
5.民航機場規劃設計研究總院有限公司科研項目:機場變形監測與預警平台研發。

學術論文

發表學術論文30餘篇,其中包括以第一作者/通訊作者在《Nature Communications》、《Engineering Geology》、《International Journal of Digital Earth》、《Landslides》等高質量期刊發表論文10餘篇。
1.Song, C., Yu, C., Li, Z., Utili, S., Frattini, P., Crosta, G., Peng, J., (2022). Triggering and recovery of earthquake accelerated landslides in Central Italy revealed by satellite radar observations. Nature Communications. 13(1).
2.Wang, S., Lu, Z., Wang, B., Niu, Y., Song, C., Li, X., Ma, Z., Xu, C. (2023). A Phase-based InSAR Tropospheric Correction Method for Interseismic Deformation Based on Short-period Interferograms. IEEE Transactions on Geoscience and Remote Sensing.
3.Du, J., Li, Z., Song, C., Zhu, W., Ji, Y., Zhang, C., Chen, B. and Su, S., 2023. InSAR-Based Active Landslide Detection and Characterization Along the Upper Reaches of the Yellow River. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, pp.3819-3830.
4.Wang, S., Song, C., Xiao, Z. (2023). Two Mw≥ 6.5 Earthquakes in Central Pamir Constrained by Satellite SAR Observations. Remote Sensing, 15(21), 5115.
5.Song, C., Yu, C., Meldebekova, G., Li, Z., (2022). Normal fault slips of the March 2021 Greece earthquake sequence from InSAR observations. Journal of Geodesy and Geoinformation Science, 5(1): 50-59.
6.Wang, S., Song, C., Li, S. S., Li, X., (2022). Resolving co- and early post-seismic slip variations of the 2021 Mw 7.4 Madoi earthquake in east Bayan Har block with a block-wide distributed deformation mode from satellite synthetic aperture radar data. Earth and Planetary Physics, 6(1), 108–122.
7.Song, C., Yu, C., Li, Z., et al., (2021). Landslide geometry and activity in Villa de la Independencia (Bolivia) revealed by InSAR and seismic noise measurements. Landslides, 18, 2721–2737.
8.Yu, C., Li, Z., Song, C., (2021). Geodetic constraints on recent subduction earthquakes and future seismic hazards in the southwestern coast of Mexico. Geophysical Research Letters, 48(13).
9.張成龍, 李振洪, 余琛, 宋闖, 肖儒雅,彭建兵, (2021). 利用 GACOS 輔助下 InSAR Stacking 對金沙江流域進行滑坡監測. 武漢大學學報信息科學版, 46(11), pp.1649-1657.
10.Roger, M., Li, Z., Clarke, P., Song, C., Hu, J.-C., Feng, W., et al., (2020). Joint Inversion of Geodetic Observations and Relative Weighting—The 1999 Mw 7.6 Chi-Chi Earthquake Revisited. Remote Sensing, 12, 3125.
11.Meldebekova, G., Yu, C., Li, Z., Song, C., (2020). Quantifying Ground Subsidence Associated with Aquifer Overexploitation Using Space-Borne Radar Interferometry in Kabul, Afghanistan. Remote Sensing, 12, 2461.
12.Xiao, R., Yu, C., Li, Z., Song, C., He, X., (2020). General Survey of Large-scale Land Subsidence by GACOS-Corrected InSAR Stacking: Case Study in North China Plain. Proceedings of the International Association of Hydrological Sciences, 382, pp.213-218.
13.Fang, J., Xu, C., Zang, J., Wen, Y., Song, C., Li, Y., (2020). Application of high-rate GPS for earthquake rapid response and modelling: a case in the 2019 M w 7.1 Ridgecrest earthquake. Geophysical Journal International, 222(3), pp.1923-1935.
14.Song, C., Yu, C., Li, Z., Li, Y., Xiao, R., (2019). Coseismic slip distribution of the 2019 Mw 7.5 New Ireland earthquake from the integration of multiple remote sensing techniques. Remote Sensing, 11(23), p.2767.
15.李振洪, 宋闖, 余琛, 肖儒雅, 陳立福, 羅慧等, (2019). 衛星雷達遙感在滑坡災害探測和監測中的套用: 挑戰與對策. 武漢大學學報信息科學版, 44(7), pp.967-979.
16.Song, C., Xu, C., (2018). Loose integration of high-rate GPS and strong motion data considering coloured noise, Geophysical Journal International, 215(3), 1530-1539.
17.宋闖,許才軍,溫揚茂,易磊,徐文, (2017). 利用高頻 GPS 資料研究 2016 年紐西蘭凱庫拉地震的地表形變及預警震級, 地球物理學報, 60(9): 3396-3405.

榮譽獎勵

自然資源科學技術獎一等獎:廣域高精度地表形變監測關鍵技術與套用(4/15)。

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