联合GRACE和GLDAS数据的河南省地下水储量反演与时空变化分析

doi:10.13474/j.cnki.11-2246.2022.0089

测绘通报 ›› 2022, Vol. 0 ›› Issue (3): 121-126.doi: 10.13474/j.cnki.11-2246.2022.0089

联合GRACE和GLDAS数据的河南省地下水储量反演与时空变化分析

李名语^1,2, 陈利军³, 刘国祥^2,4, 毛文飞², 向卫², 蔡嘉伦², 张波², 张瑞^2,4

1. 河南测绘职业学院, 河南郑州 451464;
2. 西南交通大学地球科学与环境工程学院, 四川成都 611756;
3. 国家基础地理信息中心, 北京 100830;
4. 高速铁路运营安全空间信息技术国家地方联合工程实验室, 四川成都 611756

收稿日期:2021-04-01 出版日期:2022-03-25 发布日期:2022-04-01
通讯作者: 张瑞。E-mail:zhangrui@swjtu.edu.cn
作者简介:李名语(1995-),女,硕士,助理讲师,从事环境遥感研究和测绘教育工作。E-mail:vlmy@my.swjtu.edu.cn
基金资助:
国家自然科学基金(41771402);国家重点研发计划(2017YFB0502700);高分辨率对地观测重大专项航空观测系统项目(30-H30C01-9004-19/21);四川省科技计划(2018JY0564;2019ZDZX0042;2020JDTD0003)

Groundwater storage data inversion and spatiotemporal evolution analysis in Henan province using GRACE and GLDAS data

LI Mingyu^1,2, CHEN Lijun³, LIU Guoxiang^2,4, MAO Wenfei², XIANG Wei², CAI Jialun², ZHANG Bo², ZHANG Rui^2,4

1. Henan College of Surveying and Mapping, Zhengzhou 451464, China;
2. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;
3. National Geomatics Center of China, Beijing 100830, China;
4. State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety, Chengdu 611756, China

Received:2021-04-01 Online:2022-03-25 Published:2022-04-01

摘要/Abstract

摘要： 针对利用传统监测手段难以高效获取地下水储量观测数据的问题,基于GRACE重力卫星的大尺度水资源储量反演已成为当前水资源调查的研究热点。本文利用2012-2016年CSR机构发布的GRACE RL06月解数据,通过等效水高反演得到河南省陆地水储量时序结果,扣除由同期GLDAS水文模型计算得到的地表水储量时序数据,从而得到河南省地下水储量时序变化数据结果。经与地下水位监测井实测数据进行对比验证,相关系数显著性水平达0.01,表明本文算法流程具有较高的可靠性。进一步的统计分析结果表明,河南省北部地区的地下水储量呈亏损态势,最大变化率超过26 mm/a;河南省中部和东部地区地下水储量有一定盈余,最大变化率超过16 mm/a,相关结果数据与河南省水利局公布的全省主要地下水超采区范围吻合。本文旨在利用GRACE重力卫星数据与GLDAS水文模型反演获取河南省地下水储量空间分布差异及演变趋势,相关算法流程可为广域地下水储量调查监测提供技术支撑;研究数据可为该区域地下水资源的合理利用与保护提供参考。

关键词: GRACE;GLDAS;地下水储量;数据反演;河南省

Abstract: Traditional monitoring methods are difficult to acquire groundwater storage observation in large-scale and long-term.Thus,the groundwater storage data inversion has become a hot topic based on the GRACE gravity satellite.This paper uses the GRACE RL06 monthly data released by CSR during the period of 2012 to 2016 to produce terrestrial water storage changes.Later,subtract surface water storages changes calculated by the GLDAS hydrological model over the same period.Finally,the time series results of groundwater storage changes in Henan province are obtained.Considering the verification between the produced results and the measured groundwater level data,the calculated correlation coefficients are all at the significance level of 0.01,which indicates that the groundwater storage change monitoring method in this paper is highly reliable.From the least squares linear fitting change rate results,it can be seen that the main loss area of groundwater in the province is the northern region with the maximum rate exceeding 26 mm/a,and the main surplus area is located in the central and eastern regions with the maximum rate exceeding 16 mm/a.These mentioned results are basically consistent with existed researches as well as the main groundwater overexploitation areas announced by the Henan provincial Water Resources Bureau.The research results in this paper are aimed at using GRACE gravity satellite data and GLDAS hydrological model to obtain the spatial distribution difference and evolution trend of groundwater storage changes in Henan province.While providing data support for the rational use and protection of groundwater resources,it also offers reference for the protection and reasonable use of groundwater resources in the area.

Key words: GRACE;GLDAS;groundwater storage;data inversion;Henan province

中图分类号:

P237

李名语, 陈利军, 刘国祥, 毛文飞, 向卫, 蔡嘉伦, 张波, 张瑞. 联合GRACE和GLDAS数据的河南省地下水储量反演与时空变化分析[J]. 测绘通报, 2022, 0(3): 121-126.

LI Mingyu, CHEN Lijun, LIU Guoxiang, MAO Wenfei, XIANG Wei, CAI Jialun, ZHANG Bo, ZHANG Rui. Groundwater storage data inversion and spatiotemporal evolution analysis in Henan province using GRACE and GLDAS data[J]. Bulletin of Surveying and Mapping, 2022, 0(3): 121-126.

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联合GRACE和GLDAS数据的河南省地下水储量反演与时空变化分析

Groundwater storage data inversion and spatiotemporal evolution analysis in Henan province using GRACE and GLDAS data

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