Analysis of groundwater changes (2003-2020) in the North China Plain using geodetic measurements
Analysis of groundwater changes (2003-2020) in the North China Plain using geodetic measurements
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大地测量分析华北平原地下水变化（2003年—2020年）
DOI：
10.1016/j.ejrh.2022.101085
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发表时间：
2022-04-16
影响因子：
4.7
通讯作者：
Lyu, Haixia
中科院分区：
文献类型：
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作者：
Liu, Renli;Zhong, Bo;Lyu, Haixia
研究区域：北中国平原、中国平原。研究重点：利用重力恢复与气候实验(GRACE)和全球导航卫星系统(GNSS)测量，重点研究了南水北调中线工程(MRP)实施期间(2014年12月)南水北调中线工程(MRP)实施前后地下水储量变化的时空特征。对该区域的新的水文洞察：GRACE的结果表明，在2003-2014年和2015-2020年这两个子时期，GWS的耗竭速率分别为1.66+/-0.17厘米/年和2.76+/-0.55厘米/年，这表明在MRP之后，GWS继续减少。然而，月平均GWS的空间分布呈现明显的西南-东北带状分布，西北地区的GWS枯竭较东南地区有所缓解。北京地区GNSS站垂直位移增长速度加快，而河北、天津平原地区的垂直位移持续下降，表明北京地区的GWS在MRP后恢复较快，而河北和天津平原地区的GWS枯竭仍在继续。在整个研究期间，降水是影响全球变暖的主要驱动因素，灰色关联系数在0.66~0.75之间。这种强烈的相关性解释了2019年较大的降水赤字导致的GWS显著减少，这导致2015-2020年期间GWS的损耗率更大。
Study region: North China Plain (NCP), China. Study focus: This paper investigates the spatiotemporal characteristics of groundwater storage (GWS) changes in the NCP during 2003-2020 using Gravity Recovery and Climate Experiment (GRACE) and Global Navigation Satellite System (GNSS) measurements with a focus on the subperiods separated by the implementation (December 2014) of the South-to-North Water Diversion Middle Route Project (MRP). New hydrological insights for the region: GRACE-derived results demonstrate that GWS depleted at rates of 1.66 +/- 0.17 cm/yr and 2.76 +/- 0.55 cm/yr for subperiods of 2003-2014 and 2015-2020, respectively, suggesting that GWS continued decreasing after the MRP. However, the spatial distribution of average monthly GWS shows an evident southwest-northeast band distribution, and the GWS depletion in the northwest has been alleviated compared with the southeast. The GNSS stations in the Beijing area show accelerated increasing rates of vertical displacements, while those in the plain areas of Hebei and Tianjin show continuous declining rates, implying that GWS in the Beijing area recovered faster after the MRP, while the GWS depletion in plain areas of Hebei and Tianjin continued. In addition, precipitation is the main driving factor to GWSvaribility during the whole study period, with grey correlation coefficients of 0.66-0.75. This strong correlation explains the significant reduction in GWS caused by the large precipitation deficit in 2019, which leads to a larger GWS depletion rate for the 2015-2020 period.