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着眼于城市建设领域的地表沉降现象,以鹤壁市作为研究对象,获取了2019年1月至2024年6月共165景Sentinel-1A卫星影像数据,并采用小基线集(SBAS-InSAR)技术对研究区地表沉降进行时序监测。同时结合降水与地下水储量数据,分析了鹤壁市地表形变的时空特性和影响因素。结果表明,监测期间鹤壁市整体沉降不显著,部分地区存在地表沉降。其中,地表最大沉降速率达-66 mm/a,最大累积形变量达到-409.71 mm,最大年平均沉降速率-12.18 mm/yr。山城区和鹤山区共识别出3个明显的沉降漏斗,且其范围正逐年扩展。进一步分析表明,降雨是造成鹤壁市地表沉降短期波动的主要因素,雨季过后地表形变通常表现为先抬升后沉降的趋势;地下水储量变化是引起平原区地表形变的关键驱动;而煤矿开采则可能是矿区大范围沉降漏斗形成的主要原因。研究结果可为鹤壁市的治理规划以及预防地质灾害提供参考。
Abstract:Focusing on ground subsidence associated with urban development, Hebi city was selected as the study area. A total of 165 Sentinel-1A satellite images acquired between January 2019 and June 2024 were collected, and the small baseline subset interferometric synthetic aperture radar(SBAS-InSAR) technique was applied to conduct time-series monitoring of ground subsidence in the region. In addition, precipitation and groundwater storage data were incorporated to analyze the spatiotemporal characteristics and influencing factors of surface deformation in Hebi city. The results indicate that overall ground subsidence in Hebi city was not significant during the monitoring period, although localized subsidence occurred in certain areas. The maximum subsidence rate reached-66 mm/a, the maximum cumulative deformation was-409.71 mm, and the maximum annual average subsidence rate was-12.18 mm/yr. Three distinct subsidence bowls were identified in the Shancheng and Heshan districts, and their spatial extent has expanded annually. Further analysis reveals that rainfall is the primary factor driving short-term fluctuations in surface deformation, with a typical pattern of uplift followed by subsidence observed after the rainy season. Variations in groundwater storage are the key driving force of surface deformation in plain areas, whereas coal mining activities are likely the main cause of large-scale subsidence bowls in mining regions. The findings of this study provide a reference for urban planning and geological hazard prevention in Hebi city.
[1]CHEN B B, GONG H L, CHEN Y, et al. Land subsidence and its relation with groundwater aquifers in Beijing Plain of China[J]. Science of The Total Environment,2020,735:139111.
[2]周定义,左小清,赵志芳,等.基于SBAS-In SAR和改进BP神经网络的城市地面沉降预测[J].地质通报,2023,42(10):1774-1783.
[3]ZHANG P, GUO Z, GUO S, et al. Land subsidence monitoring method in regions of variable radar reflection characteristics by integrating PS-In SAR and SBAS-In SAR techniques[J]. Remote Sensing,2022,14(14):3265.
[4]马恩华,李益敏,俞文轩,等.基于In SAR的玉溪市红塔区地面沉降时空分布特征[J].人民长江,2024,55(S2),113-120.
[5]MA P F, WANG W X, ZHANG B W, et al. Remotely sensing large-and small-scale ground subsidence:A case study of the Guangdong-Hong Kong-Macao Greater Bay Area of China[J]. Remote Sensing of Environment,2019,232:111282.
[6]李达,邓喀中,高晓雄,等.基于SBAS-In SAR的矿区地表沉降监测与分析[J].武汉大学学报(信息科学版),2018,43(10):1531-1537.
[7]仝云霄,黄岩,陈宇,等. D-In SAR矿区地表沉降监测及时空分析[J].测绘科学,2020,45(3):67-73.
[8]逯中香,樊彦国,李国胜.利用时序In SAR技术监测青藏铁路沿线地表形变[J].测绘通报,2022(3):138-142,156.
[9]邹鑫.联合In SAR和深度学习的城市道路网形变监测与预测方法研究[D].淮南:安徽理工大学,2024.
[10]冯文凯,顿佳伟,易小宇,等.基于SBAS-In SAR技术的金沙江流域沃达村巨型老滑坡形变分析[J].工程地质学报,2020,28(2):384-393.
[11]何佳阳,巨能攀,解明礼,等.高山峡谷地区地质灾害隐患In SAR识别技术对比[J].地球科学,2023,48(11):4295-4310.
[12]雷坤超.南水北调前后北京平原区地下水和地面沉降演变特征[J].地质学报,2024,98(2):591-610.
[13]姜川,王磊杰,樊高强,等.基于SBAS-In SAR的郑州煤炭矿区地表沉降监测及演化规律分析[J].中国煤炭,2024,50(10):158-165.
[14]胡祥祥,柯福阳,石亚亚,等.基于GRACE和Sentinel-1A的河湟谷地地下水储量与地表沉降研究[J].测绘通报,2024(6):46-52.
[15]刘琦,岳国森,丁孝兵,等.佛山地铁沿线时序InSAR形变时空特征分析[J].武汉大学学报(信息科学版),2019,44(7):1099-1106.
[16]石一洁,杨成生,王子倩,等.基于Sta MPS-In SAR的大同地面沉降特征分析[J].山东科技大学学报(自然科学版),2025,44(4):46-56.
[17]杨进朝,马喜,白雪梅.鹤壁市地质灾害现状及防治研究[C]//河南地球科学通报2008年卷(中册).河南省地质环境监测院;河南省地矿局第一地质调查队,2008:131-135.
[18]DU W B, JI W Q, XU L J, et al. Deformation time series and driving-force analysis of glaciers in the Eastern Tienshan Mountains using the SBAS In SAR method[J]. Int J Environ Res Public Health,2020,17(8):2836.
[19]YI S, SNEEUW N. Filling the data gaps within GRACE missions using Singular Spectrum Analysis[J]. Journal of Geophysical Research:Solid Earth,2021,126(5),e2020JB021227.
[20]RODELL M, HOUSER P R, JAMBOR U, et al.The global land data assimilation system[J]. Bulletin of the American Meteorological Society,2004,85:381-394.
[21]XIEX W, WANG L L, XING M R, et al. Inversion and analysis of water storage change in the loess plateau under the background of the grain for green project[J]. Water Resources,2025,52:421-432.
[22]张童康,师芸,王剑辉,等.In SAR和改进支持向量机的沉陷预测模型分析[J].测绘科学, 2021, 46(11):63-70.
[23]朱广轶,沈红霞,王立国.地表动态移动变形预测函数研究[J].岩石力学与工程学报,2011,30(9):1889-1895.
[24]李舒,师鹏飞,谷晓伟,等.GRACE重力卫星监测煤矿开采区地下水变化研究[J].水利学报,2021,52(12):1439-1448.
[25]LONGUEVERGEN L, WILSON C R, SCANLON B R, et al. GRACE water storage estimates for the Middle East and other regions with significant reservoir and lake storage[J]. Hydrology and Earth System Sciences,2013,17(12):4817-4830.
[26]PROULX R A, KNUDSON M D, KINLENKO A,et al. Significance of surface water in the terrestrial water budget:A case study in the Prairie Coteau using GRACE, GLDAS, Landsat, and groundwater well data[J]. Water Resources Research,2013,49(9):5756-5764.
[27]MOORE P, WILLIAMS S D P. Integration of altimetric lake levels and GRACE gravimetry over Africa:Inferences for terrestrial water storage change2003-2011[J]. Water Resources Research,2014,50(12):9696-9720.
[28]刘雨婧,唐健雄.中国旅游业高质量发展水平测度及时空演化特征[J].统计与决策,2022,38(5):91-96.
[29]宋晓.鹤壁八矿采煤沉陷区土地适宜性评价及复垦方案研究[D].焦作:河南理工大学,2012.
[30]XIA M,GUANG R M, MA X L. Deformation and mechanism of landslide influenced by the effects of reservoir water and rainfall, Three Gorges, China[J]. Natural Hazards,2013,68:467-482.
[31]鹤壁市统计局.2023年鹤壁市国民经济和社会发展统计公报[N].鹤壁日报.2024-5-8(003).
[32]幸茂仁.基于GRACE重力数据的黄河流域水储量变化反演和旱涝灾害分析[D].南昌:东华理工大学,2023.
[33]HARVILLE D. Extension of the Gauss-Markov theorem to include the estimation of random effects[J]. The Annals of Statistics,1976,4(2):384-395.
基本信息:
DOI:10.13990/j.issn1001-3679.2026.02.009
中图分类号:P237;P642.26
引用信息:
[1]施艺,谢小伟,李东泽.基于SBAS-InSAR技术的鹤壁市地表沉降监测及影响因素分析[J].江西科学,2026,44(02):262-271.DOI:10.13990/j.issn1001-3679.2026.02.009.
基金信息:
铀资源探采与核遥感全国重点实验室(东华理工大学)开放基金项目(2025QZ-KF-11); 江西省自然科学基金项目-面上项目(20252BAC240261)
2025-09-11
2025
2025-10-28
2025-11-14
2025
1
2026-04-15
2026-04-15