Detecting Water Diversion Fingerprints in the Danjiangkou Reservoir from Satellite Gravimetry and Altimetry Data

The Danjiangkou Reservoir (DJKR) is the freshwater source for the Middle Route of the South-to-North Water Diversion Project in China, and its water level and storage changes are important for water resource management. To maximize the potential capacity of the Gravity Recovery and Climate Experiment (GRACE) mission, an improved Lagrange multiplier method (ILMM) is first proposed to detect terrestrial water storage anomalies (TWSA) in the small-scale basin (DJKR). Moreover, for the first time, water diversion fingerprints are proposed to analyze the spatiotemporal pattern of the TWSA in the DJKR. The results indicate that the increased water level and storage signals due to the DJKR impoundment in 2014 can be effectively detected by using the ILMM, and they agree well with the results from altimetry and in situ data. Additionally, the water diversion fingerprints due to the DJKR impoundment are inferred, and describe the progression of spatiotemporal variability in water storage. The results show that water storage decreased in the upper Hanjiang River and increased in the DJKR as well as to the east of it during the period 2013–2015. Our research provides a scientific decision-making basis for monitoring the water resources of the DJKR and managing the South-to-North Water Diversion Project.

[1]  John C. Ries,et al.  Chapter 1 Satellite Altimetry , 2001 .

[2]  Cheng Sun,et al.  A Bayesian method for comprehensive water quality evaluation of the Danjiangkou Reservoir water source area, for the middle route of the South-to-North Water Diversion Project in China , 2014, Frontiers of Earth Science.

[3]  Arzhan B. Surazakov,et al.  Estimating volume change of mountain glaciers using SRTM and map-based topographic data , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[4]  F. Landerer,et al.  Accuracy of scaled GRACE terrestrial water storage estimates , 2012 .

[5]  M. Watkins,et al.  The gravity recovery and climate experiment: Mission overview and early results , 2004 .

[6]  I. Velicogna,et al.  Detection of sea level fingerprints derived from GRACE gravity data , 2017 .

[7]  Nico Sneeuw,et al.  Large-Scale Runoff from Landmasses: A Global Assessment of the Closure of the Hydrological and Atmospheric Water Balances* , 2014 .

[8]  D. Chambers,et al.  Estimating Geocenter Variations from a Combination of GRACE and Ocean Model Output , 2008 .

[9]  F. Bryan,et al.  Time variability of the Earth's gravity field: Hydrological and oceanic effects and their possible detection using GRACE , 1998 .

[10]  Duncan J. Wingham,et al.  NEW TECHNIQUES IN SATELLITE ALTIMETER TRACKING SYSTEMS. , 1986 .

[11]  C. Jekeli Alternative methods to smooth the Earth's gravity field , 1981 .

[12]  F. Landerer,et al.  Emerging trends in global freshwater availability , 2018, Nature.

[13]  On Postglacial Sea Level , 2007 .

[14]  Maosheng Zhao,et al.  Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .

[15]  Zhiqiang Du,et al.  Estimating surface water area changes using time-series Landsat data in the Qingjiang River Basin, China , 2012 .

[16]  Nicolas Baghdadi,et al.  The Relevance of GLAS/ICESat Elevation Data for the Monitoring of River Networks , 2011, Remote. Sens..

[17]  Fangfang Yao,et al.  Recent global decline in endorheic basin water storages , 2018, Nature Geoscience.

[18]  J. Famiglietti,et al.  A decade of sea level rise slowed by climate-driven hydrology , 2016, Science.

[19]  Feng Gao,et al.  Representative lake water extent mapping at continental scales using multi-temporal Landsat-8 imagery , 2016 .

[20]  Lirong Song,et al.  Spatio-temporal distribution of phytoplankton in the Danjiangkou Reservoir, a water source area for the Southto-North Water Diversion Project (Middle Route), China , 2011 .

[21]  P. Döll,et al.  Sensitivity of simulated global-scale freshwater fluxes and storages to input data, hydrological model structure, human water use and calibration , 2014 .

[22]  Jean-François Crétaux,et al.  The Performance of Altimeter Waveform Retrackers at Lake Baikal , 2013 .

[23]  Y. Hong,et al.  The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales , 2007 .

[24]  Huug van den Dool,et al.  Performance and analysis of the constructed analogue method applied to U.S. soil moisture over 1981-2001 , 2003 .

[25]  Wei‐Ping Jiang,et al.  A quantitative approach for hydrological drought characterization in southwestern China using GRACE , 2016, Hydrogeology Journal.

[26]  Jiancheng Shi,et al.  The Future of Earth Observation in Hydrology. , 2017, Hydrology and earth system sciences.

[27]  J. Kusche,et al.  Decorrelated GRACE time-variable gravity solutions by GFZ, and their validation using a hydrological model , 2009 .

[28]  Frédéric Frappart,et al.  Hydrological Applications of Satellite AltimetryRivers, Lakes, Man-Made Reservoirs, Inundated Areas , 2017 .

[29]  Alain Pietroniro,et al.  Rationale for Monitoring Discharge on the Ground , 2012 .

[30]  A. Bezděk,et al.  Time-variable gravity fields derived from GPS tracking of Swarm , 2016 .

[31]  Xiaoming Zhang,et al.  A Comparison of Land Surface Water Mapping Using the Normalized Difference Water Index from TM, ETM+ and ALI , 2013, Remote. Sens..

[32]  S. Ng,et al.  A fuzzy analytic hierarchy process (FAHP) approach to eco-environmental vulnerability assessment for the Danjiangkou reservoir area, China. , 2009 .

[33]  Chunqiao Song,et al.  The potential of GRACE gravimetry to detect the heavy rainfall‐induced impoundment of a small reservoir in the upper Yellow River , 2017 .

[34]  J. Wahr,et al.  Computations of the viscoelastic response of a 3-D compressible Earth to surface loading: an application to Glacial Isostatic Adjustment in Antarctica and Canada , 2012 .

[35]  A. Cazenave,et al.  Preliminary results of ENVISAT RA-2-derived water levels validation over the Amazon basin , 2006 .

[36]  B. Chao,et al.  An effective filtering for GRACE time‐variable gravity: Fan filter , 2009 .

[37]  Andrew J. Plater,et al.  Book reviewSea-level change: Roger Revelle; Studies in Geophysics, National Research Council, National Academy Press, Washington, DC, 1990; xii + 246 pp.; USD 29.95, GBP 25.75; ISBN 0-309-04039 , 1992 .

[38]  W. Farrell Deformation of the Earth by surface loads , 1972 .

[39]  Nico Sneeuw,et al.  Minimizing the effects of filtering on catchment scale GRACE solutions , 2016 .

[40]  B. Scanlon,et al.  Global analysis of approaches for deriving total water storage changes from GRACE satellites , 2015 .

[41]  S. Swenson,et al.  Methods for inferring regional surface‐mass anomalies from Gravity Recovery and Climate Experiment (GRACE) measurements of time‐variable gravity , 2002 .

[42]  D. C. Slobbe,et al.  Towards a combined estimation of Greenland’s ice sheet mass balance using GRACE and ICESat data , 2007 .

[43]  S. Swenson,et al.  Estimating the human contribution to groundwater depletion in the Middle East, from GRACE data, land surface models, and well observations , 2014 .

[44]  Markus Reichstein,et al.  Improving canopy processes in the Community Land Model version 4 (CLM4) using global flux fields empirically inferred from FLUXNET data , 2011 .

[45]  B. Scanlon,et al.  Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites , 2014 .

[46]  Shusen Wang,et al.  The Han River watershed management initiative for the South-to-North Water Transfer project (Middle Route) of China , 2009, Environmental monitoring and assessment.

[47]  Brian F. Thomas,et al.  River basin flood potential inferred using GRACE gravity observations at several months lead time , 2014 .

[48]  F. Landerer,et al.  GRACE Groundwater Drought Index: Evaluation of California Central Valley groundwater drought , 2017 .

[49]  B. Chao,et al.  Impact of Artificial Reservoir Water Impoundment on Global Sea Level , 2008, Science.

[50]  Nengfang Chao,et al.  Characterized Flood Potential in the Yangtze River Basin from GRACE Gravity Observation, Hydrological Model, and In-Situ Hydrological Station , 2017 .

[51]  Hubert H. G. Savenije,et al.  The bias in GRACE estimates of continental water storage variations , 2006 .

[52]  Charles J Vörösmarty,et al.  The current status of global river discharge monitoring and potential new technologies complementing traditional discharge measurements , 2007 .

[53]  Frédéric Frappart,et al.  Monitoring Groundwater Storage Changes Using the Gravity Recovery and Climate Experiment (GRACE) Satellite Mission: A Review , 2018, Remote. Sens..

[54]  H. Lühr,et al.  Swarm An Earth Observation Mission investigating Geospace , 2008 .

[55]  B. Scanlon,et al.  GRACE Hydrological estimates for small basins: Evaluating processing approaches on the High Plains Aquifer, USA , 2010 .

[56]  Matthew Rodell,et al.  Groundwater depletion in the Middle East from GRACE with implications for transboundary water management in the Tigris-Euphrates-Western Iran region , 2013, Water resources research.

[57]  Anny Cazenave,et al.  Satellite Altimetry over Oceans and Land Surfaces , 2017 .

[58]  M. Watkins,et al.  Quantifying and reducing leakage errors in the JPL RL05M GRACE mascon solution , 2016 .

[59]  S. Swenson,et al.  Accuracy of GRACE mass estimates , 2006 .

[60]  Denis Blumstein,et al.  Envisat and SARAL/AltiKa Observations of the Antarctic Ice Sheet: A Comparison Between the Ku-band and Ka-band , 2015 .

[61]  Minkang Cheng,et al.  Variations of the Earth's figure axis from satellite laser ranging and GRACE , 2011 .

[62]  Yulin Ding,et al.  Estimating the relationship between dam water level and surface water area for the Danjiangkou Reservoir using Landsat remote sensing images , 2016 .

[63]  Srinivas Bettadpur,et al.  High‐resolution CSR GRACE RL05 mascons , 2016 .

[64]  S. Seneviratne,et al.  Basin scale estimates of evapotranspiration using GRACE and other observations , 2004 .