利用GRACE数据进行京津冀地区地面沉降与地下水耦合分析

doi:10.13474/j.cnki.11-2246.2022.0147

测绘通报 ›› 2022, Vol. 0 ›› Issue (5): 89-94,125.doi: 10.13474/j.cnki.11-2246.2022.0147

利用GRACE数据进行京津冀地区地面沉降与地下水耦合分析

张玉鹏^1,2, 张永红², 刘青豪^2,3

1. 辽宁工程技术大学, 辽宁阜新 123000;
2. 中国测绘科学研究院, 北京 100830;
3. 中南大学, 湖南长沙 410000

收稿日期:2021-07-06 发布日期:2022-06-08
作者简介:张玉鹏(1995-),男,硕士生,主要研究方向为微波遥感技术与应用。E-mail:772037041@qq.com
基金资助:
国家自然科学基金(41874014)

Coupling relationship between land subsidence and groundwater in Beijing-Tianjin-Hebei region based on GRACE data

ZHANG Yupeng^1,2, ZHANG Yonghong², LIU Qinghao^2,3

1. Liaoning University of Engineering and Technology, Fuxin 123000, China;
2. Academy of Surveying and Mapping, Beijing 100830, China;
3. Central South University, Changsha 410000, China

Received:2021-07-06 Published:2022-06-08

摘要/Abstract

摘要： 地下水的过量开采已导致京津冀地区出现严重的地面沉降,为了分析地下水与地面沉降之间的耦合关系,首先利用GRACE-FO数据与GLDAS数据反演出京津冀地区2016—2019年地下水变化时序;然后利用MCTSB-InSAR技术反演出该地区同时段的沉降变化时序。通过试验分别获取地下水与地面沉降的差分变化序列和变化趋势线,并引入非弹性存储系数分析地下水对地面沉降影响力的变化规律。结果表明:①当地下水迅速升高或降低时,地面沉降速率减小或增大;当地下水持续升高时,地面沉降接近停止。②沉降越严重的区域,地下水与地面沉降变化趋势的相关性越强。③由地下水变化引起沉降的能力,随沉降等级升高而变大,且该能力在不同沉降等级中随时间变化的趋势也不同。

关键词: GRACE, 地下水, 地面沉降, InSAR, 耦合关系

Abstract: The excessive exploitation of groundwater has caused serious ground subsidence in Beijing, Tianjin and Hebei. In order to analyze the coupling relationship between groundwater and ground subsidence, firstly, the groundwater change sequence in Beijing-Tianjin-Hebei region from 2016 to 2019 is performed by using GRACE-FO data and GLDAS data; Then the time series of the subsidence change in the same period of the region is performed by using the technology of MCTSB-InSAR. In the experiment part, the differential change sequence and trend line of ground water and ground settlement are obtained respectively, and the influence of groundwater on ground settlement is analyzed by using inelastic storage coefficient. The results show that:①when the groundwater reserves increase or decrease rapidly, the ground subsidence rate decreases or increases. When the groundwater continues to rise, the ground subsidence is close to stop.②The more serious the settlement, the stronger the correlation between groundwater and ground subsidence.③The capacity of settlement caused by groundwater change increases with the increase of settlement level, and the change trend of the capacity with time is also different in different settlement grades.

Key words: GRACE, groundwater, land subsidence, InSAR, coupling relationship

中图分类号:

P237

张玉鹏, 张永红, 刘青豪. 利用GRACE数据进行京津冀地区地面沉降与地下水耦合分析[J]. 测绘通报, 2022, 0(5): 89-94,125.

ZHANG Yupeng, ZHANG Yonghong, LIU Qinghao. Coupling relationship between land subsidence and groundwater in Beijing-Tianjin-Hebei region based on GRACE data[J]. Bulletin of Surveying and Mapping, 2022, 0(5): 89-94,125.

参考文献

[1] ZHANG Y Q, GONG H L, GU Z Q, et al. Characterization of land subsidence induced by groundwater withdrawals in the plain of Beijing City, China[J]. Hydrogeology Journal, 2014, 22(2):397-409.
[2] WANG R, LUO Y, YANG Y, et al. Characterization of land subsidence induced by groundwater withdrawals in Wenyu River alluvial fan, Beijing, China[J]. Proceedings of the International Association of Hydrological Sciences, 2015, 372:481-484.
[3] CHEN Mi, TOMÁS R, LI Zhenhong, et al. Imaging land subsidence induced by groundwater extraction in Beijing (China) using satellite radar interferometry[J]. Remote Sensing, 2016, 8(6):468.
[4] MODONI G, DARINI G, SPACAGNA R L, et al. Spatial analysis of land subsidence induced by groundwater withdrawal[J]. Engineering Geology, 2013, 167:59-71.
[5] PHI T H, STROKOVA L A. Prediction maps of land subsidence caused by groundwater exploitation in Hanoi, Vietnam[J]. Resource-Efficient Technologies, 2015, 1(2):80-89.
[6] LIU Z, LIU P W, MASSOUD E, et al. Monitoring groundwater change in california's central valley using sentinel-1 and GRACE observations[J]. Geosciences, 2019, 9(10):436.
[7] WATKINS M M, WIESE D N, YUAN D N, et al. Improved methods for observing Earth's time variable mass distribution with GRACE using spherical cap mascons[J]. Journal of Geophysical Research:Solid Earth, 2015, 120(4):2648-2671.
[8] WIESE D N, LANDERER F W, WATKINS M M. Quantifying and reducing leakage errors in the JPL RL05M GRACE mascon solution[J]. Water Resources Research, 2016, 52(9):7490-7502.
[9] 李晓龙. MCTSB-InSAR沉降监测技术及其应用[D].阜新:辽宁工程技术大学, 2017.
[10] 张盛宇,张云.深层粘性土卸荷回弹及反复加卸荷特征研究[J].中国房地产业, 2016,(8):250-251.
[11] 冯伟,JEAN LEMOINE,钟敏,等.利用重力卫星GRACE监测亚马逊流域2002-2010年的陆地水变化[J].地球物理学报, 2012, 55(3):814-821.
[12] 郭飞霄,孙中苗,任飞龙,等.不同Mascon模型解比较分析[J].大地测量与地球动力学, 2019, 39(10):1022-1026.
[13] RAMILLIEN G,SEOANE L,SCHUMACHER M,et al. Recovery of rapid water mass changes (RWMC) by Kalman filtering of GRACE observations[J]. Remote Sensing, 2020, 12(8):1299.
[14] SUN Zhangli, LONG Di, YANG Wenting, et al. Reconstruction of GRACE data on changes in total water storage over the global land surface and 60 basins[J]. Water Resources Research, 2020, 56(4):60-65.
[15] 徐永明,刘志平.基于GRACE RL06的云贵高原水储量变化反演及分析[J].水电能源科学, 2020, 38(7):11-15.

利用GRACE数据进行京津冀地区地面沉降与地下水耦合分析

Coupling relationship between land subsidence and groundwater in Beijing-Tianjin-Hebei region based on GRACE data

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