李婉秋^1,2,,
王伟²,
章传银^2,,,
杨强²,
冯伟³,
刘阳^1,2
1. 山东科技大学测绘科学与工程学院, 山东青岛 266590
2. 中国测绘科学研究院, 北京 100830
3. 中国科学院测量与地球物理研究所, 武汉 430077

基金项目: 国家自然科学基金（41374081，41674024）；重点研发计划（2016YFB0501702）；中国测绘科学研究院基本科研业务费项目（7771806）；山东科技大学研究生创新项目（SDKDYC180312）资助


详细信息

作者简介: 李婉秋, 女, 1991年生, 博士研究生, 主要从事卫星重力场方面的研究.E-mail:1404855692@qq.com

通讯作者: 章传银, 男, 1968年生, 研究员, 博士, 主要从事大地测量与地球重力场方面的研究.E-mail:zhangchy@casm.ac.cn

中图分类号: P228

收稿日期:2017-07-27
修回日期:2018-05-11
上线日期:2018-06-05

Monitoring groundwater storage variations in the Guanzhong area using GRACE satellite gravity data

LI WanQiu^1,2,,
WANG Wei²,
ZHANG ChuanYin^2,,,
YANG Qiang²,
FENG Wei³,
LIU Yang^1,2
1. College of Geodesy and Geomatics, Shandong University of Science and Technology, Shandong Qingdao 266590, China
2. Chinese Academy of Surveying & Mapping, Beijing 100830, China
3. Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China


More Information

Corresponding author: ZHANG ChuanYin,E-mail:zhangchy@casm.ac.cn

MSC: P228

--> Received Date: 27 July 2017
Revised Date: 11 May 2018
Available Online: 05 June 2018


摘要
摘要:关中地区作为一带一路重要的工农业发达地区之一，开展针对该地区地下水储量变化的监测和分析工作对揭示地下水储量变化特征与经济社会发展具有重要现实意义.本文基于2003—2014年GRACE卫星重力场模型数据，采用组合滤波及单一尺度因子方法反演了关中地区陆地水储量变化，扣除GLDAS地表水平均结果，对关中地区地下水储量变化进行了监测分析.将陆地水储量变化与GLDAS进行相关性分析，将地下水储量变化与WGHM地下水模型及实测地下水位结果进行对比分析.研究结果表明：①关中地区陆地水变化与GLDAS模型结果具有较强的相关性，相关系数多数大于0.7，其中与模型平均结果的相关系数可达0.8.② 2003—2008年关中地区地下水呈正增长趋势，增加速率为0.25 cm·a^-1，与同期实测数据变化趋势一致；但2003—2013年地下水存在长期亏损，亏损速率为-0.37 cm·a^-1等效水高，这与同时期WGHM估算结果-0.35 cm·a^-1十分吻合.③关中地区地下水存在明显的年变化特征，在2003—2014年期间地下水减少速率为-0.44 cm·a^-1，与该地区降雨量有较好的一致性，在降雨偏少的2008、2012和2013年，地下水也显著减少.
关键词: GRACE/
关中地区/
地下水储量/
尺度因子

Abstract:Guanzhong is one of the important industrial and agricultural developed areas in 'One Road and One Belt'. It is necessary to monitor and analyze groundwater storage (GWS) variations in this area to reveal the characteristics of GWS, which is of great importance for economic and social development. Firstly, based on the gravity field model from the Gravity Recovery and Climate Experiment (GRACE) satellite data from 2003 to 2014, the combined filter and method of single-scale factor are applied to invert the terrestrial water storage (TWS) variations in the Guanzhong area. Then by subtracting the results of GLDAS average surface water from TWS, GWS variations in this area are determined. Finally, the correlation between TWS and GLDAS is analyzed, and the GWS variations are compared with that from the WGHM groundwater model and well observations. The results show that (1) the TWS variations in the Guanzhong area have a strong correlation with the GLDAS model (VIC, NOAH, CLM, and MOSIC). The most correlation coefficients between them are greater than 0.7, whereas the correlation coefficient between the model average and TWS is up to 0.8. (2) During 2003 to 2008, GWS in the Guanzhong area showed a positive growth trend, and the increase rate was 0.25 cm·a^-1, which is consistent with the trend of well observations in the same period. However, there was a long-term depletion of GWS from 2003 to 2013, and the depletion rate is -0.37 cm·a^-1, which agrees well with the WGHM estimation result of -0.35 cm·a^-1 for the same period. (3) There are obvious annual variation characteristics of GWS in the Guanzhong area. The rate of GWS depletion during 2003 to 2014 was -0.44 cm·a^-1, which was in good agreement with the rainfall in this area, while during the drought years, i.e., 2008, 2012 and 2013, GWS also decreased significantly.
Key words:GRACE/
Guanzhong area/
Groundwater storage/
Scale factor



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