Temporal and spatial changes of terrestrial water storage in Yellow River Basin based on GRACE
-
摘要: 黄河流域是我国目前主要的煤炭经济可采量和产能聚集地。了解和掌握黄河流域水资源及其变化不仅是推进黄河流域水资源节约集约利用的前提，更是开展黄河流域煤炭矿区生态保护与高质量发展的基础。相较于传统地面水资源监测手段受限于监测点分布和数目的影响，GRACE重力卫星为中长尺度陆地水储量时空变化研究提供一种新的途径。利用GRACE重力卫星数据，开展2002年4月到2017年6月黄河流域水储量的时空变化规律研究。利用纬圈长度加权平均，计算黄河上中下游水储量变化均值，发现黄河不同流段表现不同的变化趋势，且反映出2003年黄河流域水资源变化受到洪水等因素影响。进一步通过箱形图分析黄河流域上中下游水储量的月平均变化规律，反映出该流域“冬干春旱，夏秋多雨”的气候特点与水储量变化的密切关系。采用时间序列分解方法分析整个黄河流域水储量变化的趋势、年周期及半年周期等特征。结果表明，黄河流域水储量变化存在随经度由西向东递减趋势越来越明显的现象，其中黄河上游源头附近区域的水储量变化呈微弱的增长趋势；黄河流域水储量变化年周期和半年周期振幅存在明显区域差异，这与高山融雪、降水量的季节性差别及区域气候环境密切相关。了解和掌握上述黄河流域水储量时空变化，可为流域矿区的生态保护与可持续发展提供基础数据与参考。Abstract: The Yellow River Basin is currently the main gathering place both for economically recoverable coal and coal production in China. Understanding the water sources and its changes is not only a prerequisite for promoting the intensive use of water in the Yellow River Basin, but also the basis for carrying out the ecological protection and sustainable development of the mining areas in the Yellow River Basin. Compared with traditional methods for monitoring terrestrial water storage that are limited by the distribution and number of monitoring points, GRACE provides a new way to study the temporal and spatial changes of water storage anomalies for medium and long-scale regions. The GRACE satellite data are used to conduct the research on temporal and spatial changes of water storage anomalies in Yellow River Basin from April 2002 to June 2017. The weighted average of the length of latitude circles is used to calculate the average change of water storage anomalies, the boxplot is adopted to analyze the monthly average change of the water storage anomalies, and the time series decomposition method is utilized to analyze the characteristics of the trend, annual cycle and semiannual cycle of water storage changes in the studied area. The results show that the decreasing trend of water storage anomalies becomes increasingly obvious in the Yellow River from west to east, and the area near the source has a weak increasing trend. There are obvious regional differences in the annual and semi–annual amplitudes of water storage anomalies, which are closely related to the seasonal differences in alpine snowmelt, precipitation, and the regional climate environment. Understanding the temporal and spatial changes of the water storage in the Yellow River Basin can provide basic data and reference for the ecological protection and sustainable development of the mining areas in the basin.
-
图 2 黄河流域上中下游水储量变化均值的时间序列及趋势和去趋势后的时间序列
注：a、c、e、分别表示黄河流域上、中、下游水储量变化均值的时间序列及趋势；b、d、f分别表示去趋势后上、中、下游水储量变化的时间序列。
Fig. 2 Time series and trend of the mean water storage anomalies(left), and the time series after detrending(right) in the upper, middle and lower Yellow River Basin
图 3 黄河流域上中下游水储量变化月数据箱形图
Fig. 3 The boxplots of monthly mean data of the terrestrial water storage anomalies in the upper, middle and lower Yellow River Basin
图 4 黄河流域水储量参数的空间分布
Fig. 4 Spatial distribution of water storage factors in the Yellow River Basin
图 5 黄河流域水储量不同变化周期的空间分布
Fig. 5 Spatial distribution of water storage anomalies in different period in the Yellow River Basin
表 1 黄河流域上中下游水储量变化均值的时间序列分解统计
Table 1 Statistics of the water storage anomalies in the upper, middle and lower Yellow River Basin through time series decomposition
流域 趋势/(mm·a−1) 年振幅/mm 半年振幅/mm 确定系数R2 上游 –2.17 13.45 1.00 0.55 中游 –9.94 23.92 10.75 0.70 下游 –17.18 32.89 21.32 0.64 
下载: 导出CSV
-
[1] 彭苏萍,毕银丽. 黄河流域煤矿区生态环境修复关键技术与战略思考[J]. 煤炭学报,2020,45(4):1211−1221. PENG Suping,BI Yinli. Strategic consideration and core technology about environmental ecological restoration in coal mine areas in the Yellow River basin of China[J]. Journal of China Coal Society,2020,45(4):1211−1221. [2] TAPLEY B D,BETTADPUR S,WATKINS M,et al. The gravity recovery and climate experiment: Mission overview and early results[J]. Geophysical Research Letters,2004,31(9):L09607. [3] 钟波. 基于GOCE卫星重力测量技术确定地球重力场的研究[D]. 武汉: 武汉大学, 2010.ZHONG Bo. Study on determination of the Earth’s gravity field from satellite gravimetry mission GOCE[D]. Wuhan: Wuhan University, 2010. [4] 姚朝龙. 联合GRACE和水文气象数据研究自然与人为因素对区域水储量变化的影响[D]. 武汉: 武汉大学, 2017.YAO Chaolong. Natural− and human−induced impacts on regional terrestrial water storage changes from GRACE and hydro–meteorological data[D]. Wuhan: Wuhan University, 2017. [5] BETTADPUR S. Level−2 gravity field product user handbook[J]. Austin: The GRACE Project, 2003. [6] 超能芳,王正涛,晁定波,等. 利用GRACE RL05模型监测长江流域水储量变化[J]. 测绘科学,2014,39(6):40−43. CHAO Nengfang,WANG Zhengtao,CHAO Dingbo,et al. Monitoring water storage change of Yangtze River basin from GRACE RL05 model[J]. Science of Surveying and Mapping,2014,39(6):40−43. [7] 钟敏,段建宾,许厚泽,等. 利用卫星重力观测研究近5年中国陆地水量中长空间尺度的变化趋势[J]. 科学通报,2009,54(9):1290−1294. ZHONG Min,DUAN Jianbin,XU Houze,et al. Trend of China land water storage redistribution at media and large–spatial scales in recent five years by satellite gravity observations[J]. Chinese Science Bulletin,2009,54(9):1290−1294.. doi: 10.1360/csb2009-54-9-1290 [8] WANG Xianwei,LINAGE C,FAMIGLIETTI J,et al. Gravity Recovery and Climate Experiment(GRACE) detection of water storage changes in the Three Gorges Reservoir of China and comparison with in situ measurements[J]. Water Resources Research,2011,47(12):1091−1096. [9] MOORE P,WILLIAMS S D P. Integration of altimetric lake levels and GRACE gravimetry over Africa: Inferences for terrestrial water storage change 2003–2011[J]. Water Resources Research,2014,50(12):9696−9720.. doi: 10.1002/2014WR015506 [10] WAHR J,MOLENAAR M,BRYAN F. Time variability of the Earth’s gravity field: Hydrological and oceanic effects and their possible detection using GRACE[J]. Journal of Geophysical Research,1998,103(B12):30205−30229.. doi: 10.1029/98JB02844 [11] WAHR J,SWENSON S,ZLOTNICKI V,et al. Time–variable gravity from GRACE: First results[J]. Geophysical Research Letters,2004,31(11):293−317. [12] HAN S C,SHUM C K,JEKELI C,et al. Non–isotropic filtering of GRACE temporal gravity for geophysical signal enhancement[J]. Geophysical Journal International,2005,163(1):18−25.. doi: 10.1111/j.1365-246X.2005.02756.x [13] 周新,邢乐林,邹正波,等. GRACE时变重力场的高斯平滑研究[J]. 大地测量与地球动力学,2008,28(3):41−45. ZHOU Xin,XING Lelin,ZOU Zhengbo,et al. Study on Gaussian smoothing of GRACE temporal gravity variation[J]. Journal of Geodesy and Geodynamics,2008,28(3):41−45. [14] SWENSON S,WAHR J. Post–processing removal of correlated errors in GRACE data[J]. Geophysical Research Letters,2006,33(8):L08402. [15] PIRETZIDIS D,SRA G,KARANTAIDIS G,et al. Identifying presence of correlated errors using machine learning algorithms for the selective de−correlation of GRACE harmonic coefficients[J]. Geophysical Journal International,2018,215(1):375−388.. doi: 10.1093/gji/ggy272 [16] 吴云龙,李辉,邹正波,等. 基于Forward–Modeling方法的黑河流域水储量变化特征研究[J]. 地球物理学报,2015,58(10):3507−3516. WU Yunlong,LI Hui,ZOU Zhengbo,et al. Investigation of water storage variation in the Heihe River using the Forward–Modeling method[J]. Chinese Journal of Geophysics,2015,58(10):3507−3516.. doi: 10.6038/cjg20151007 [17] 李杰,范东明,游为,等. 基于改进的主成分分析法提取GRACE时变重力场信号[J]. 大地测量与地球动力学,2018,38(4):414−421. LI Jie,FAN Dongming,YOU Wei,et al. Extraction of GRACE time−varying gravity field signal based on improved principal component analysis[J]. Journal of Geodesy and Geodynamics,2018,38(4):414−421. [18] 许才军,龚正. GRACE时变重力数据的后处理方法研究进展[J]. 武汉大学学报(信息科学版),2016,41(4):503−510. XU Caijun,GONG Zheng. Review of the post–processing methods on GRACE time varied gravity data[J]. Geomatics and Information Science of Wuhan University,2016,41(4):503−510. [19] 尼胜楠,陈剑利,李进,等. 利用GRACE卫星时变重力场监测长江、黄河流域水储量变化[J]. 大地测量与地球动力学,2014,34(4):49−55. NI Shengnan,CHEN Jianli,LI Jin,et al. Terrestrial water storage change in the Yangtze and Yellow River basins from GRACE time−variable gravity measurements[J]. Journal of Geodesy and Geodynamics,2014,34(4):49−55. [20] 王星星,李斐,郝卫峰,等. GRACE RL05反演南极冰盖质量变化方法比较[J]. 武汉大学学报(信息科学版),2016,41(11):1450−1457. WANG Xingxing,LI Fei,HAO Weifeng,et al. Comparison of several filters in the rates of Antarctic ice sheet mass change based on GRACE RL05 data[J]. Geomatics and Information Science of Wuhan University,2016,41(11):1450−1457. [21] 阎福礼,李书明,王世新,等. 基于EOF方法长江流域2002–2013年GRACE水储量时空变化研究[J]. 长江流域资源与环境,2015,24(增刊1):131−137. YAN Fuli,LI Shuming,WANG Shixin,et al. Temporal and spatial variations research of GRACE water storage changes over the Yangtze River basin in 2002–2013 based on EOF method[J]. Resources and Environment in the Yangtze Basin,2015,24(Sup.1):131−137. [22] 郑秋月,陈石. 应用GRACE卫星重力数据计算陆地水变化的相关进展评述[J]. 地球物理学进展,2015,30(6):2603−2615. ZHENG Qiuyue,CHEN Shi. Review on the recent developments of terrestrial water storage variations using GRACE satellite−based datum[J]. Progress in Geophysics,2015,30(6):2603−2615.. doi: 10.6038/pg20150619 [23] 李琼,罗志才,钟波,等. 利用GRACE时变重力场探测2010年中国西南干旱陆地水储量变化[J]. 地球物理学报,2013,56(6):1843−1849. LI Qiong,LUO Zhicai,ZHONG Bo,et al. Terrestrial water storage changes of the 2010 southwest China drought detected by GRACE temporal gravity field[J]. Chinese Journal of Geophysics,2013,56(6):1843−1849.. doi: 10.6038/cjg20130606 [24] 邹贤才,金涛勇,朱广彬. 卫星跟踪卫星技术反演局部地表物质迁移的MASCON方法研究[J]. 地球物理学报,2016,59(12):4623−4632. ZOU Xiancai,JIN Taoyong,ZHU Guangbin. Research on the MASCON method for the determination of local surface mass flux with satellite–satellite tracking technique[J]. Chinese Journal of Geophysics,2016,59(12):4623−4632.. doi: 10.6038/cjg20161223 [25] ROWLANDS D D,LUTHCKE S B,KLOSKO S M,et al. Resolving mass flux at high spatial and temporal resolution using GRACE intersatellite measurements[J]. Geophysical Research Letters,2005,32(4):L04310. [26] SAVE H,BETTADPUR S,TAPLEY B D. High–resolution CSR GRACE RL05 mascons[J]. Journal of Geophysical Research Solid Earth,2016,121:7547−7569.. doi: 10.1002/2016JB013007 [27] SCANLON B R,ZHANG Zizhan,SAVE H,et al. Global evaluation of new GRACE Mascon products for hydrologic applications[J]. Water Resources Research,2016,52(12):9412−9429.. doi: 10.1002/2016WR019494 [28] 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. GUO Feixiao,SUN Zhongmiao,REN Feilong,et al. Comparison and analysis of different mascon model results[J]. Journal of Geodesy and Geodynamics,2019,39(10):1022−1026. [29] 张小兵,柳礼香. 1998—2018年黄河流域水资源变化特征研究[J]. 地下水,2020,42(5):187−189. ZHANG Xiaobing,LIU Lixiang. Study on the change characteristics of water resources in the Yellow River basin from 1998 to 2018[J]. Ground Water,2020,42(5):187−189. -
下载:
点击查看大图
图(5) / 表(1)
计量
- 文章访问数: 415
- HTML全文浏览量: 13
- PDF下载量: 41
- 被引次数: 0
