Assessing Changes in Terrestrial Water Storage Components over the Great Artesian Basin Using Satellite Observations

The influence of climate change and anthropogenic activities (e.g., water withdrawals) on groundwater basins has gained attention recently across the globe. However, the understanding of hydrological stores (e.g., groundwater storage) in one of the largest and deepest artesian basins, the Great Artesian Basin (GAB) is limited due to the poor distribution of groundwater monitoring bores. In this study, Gravity Recovery and Climate Experiment (GRACE) satellite and ancillary data from observations and models (soil moisture, rainfall, and evapotranspiration (ET)) were used to assess changes in terrestrial water storage and groundwater storage (GWS) variations across the GAB and its sub-basins (Carpentaria, Surat, Western Eromanga, and Central Eromanga). Results show that there is strong relationship of GWS variation with rainfall (r = 0.9) and ET (r = 0.9 to 1) in the Surat and some parts of the Carpentaria sub-basin in the GAB (2002–2017). Using multi-variate methods, we found that variation in GWS is primarily driven by rainfall in the Carpentaria sub-basin. While changes in rainfall account for much of the observed spatio-temporal distribution of water storage changes in Carpentaria and some parts of the Surat sub-basin (r = 0.90 at 0–2 months lag), the relationship of GWS with rainfall and ET in Central Eromanga sub-basin (r = 0.10–0.30 at more than 12 months lag) suggest the effects of human water extraction in the GAB.

[1]  Christopher E. Ndehedehe,et al.  Assessing Freshwater Changes over Southern and Central Africa (2002-2017) , 2021, Remote. Sens..

[2]  Zemede M. Nigatu,et al.  GRACE products and land surface models for estimating the changes in key water storage components in the Nile River Basin , 2021 .

[3]  A. Dewan,et al.  What if the rains do not come? , 2021 .

[4]  A. Ducharne,et al.  Divergent effects of climate change on future groundwater availability in key mid-latitude aquifers , 2020, Nature Communications.

[5]  D. Mallants,et al.  Preface: Advances in hydrogeologic understanding of Australia’s Great Artesian Basin , 2020, Hydrogeology Journal.

[6]  M. Raiber,et al.  A multidisciplinary approach to the hydrological conceptualisation of springs in the Surat Basin of the Great Artesian Basin (Australia) , 2020, Hydrogeology Journal.

[7]  S. Pandey,et al.  Improved characterisation of unmetered stock and domestic groundwater use in the Surat and Southern Bowen basins of the Great Artesian Basin (Australia) , 2020, Hydrogeology Journal.

[8]  C. Brierley,et al.  Climate–groundwater dynamics inferred from GRACE and the role of hydraulic memory , 2020, Earth System Dynamics.

[9]  C. Ndehedehe,et al.  Identifying the footprints of global climate modes in time-variable gravity hydrological signals , 2019, Climatic Change.

[10]  N. Turner,et al.  Estimating current and historical groundwater abstraction from the Great Artesian Basin and other regional-scale aquifers in Queensland, Australia , 2019, Hydrogeology Journal.

[11]  M. Jamieson,et al.  The contribution of citizen science in managing and monitoring groundwater systems impacted by coal seam gas production: an example from the Surat Basin in Australia’s Great Artesian Basin , 2019, Hydrogeology Journal.

[12]  J. Robertson Challenges in sustainably managing groundwater in the Australian Great Artesian Basin: lessons from current and historic legislative regimes , 2019, Hydrogeology Journal.

[13]  M. Habermehl Review: The evolving understanding of the Great Artesian Basin (Australia), from discovery to current hydrogeological interpretations , 2019, Hydrogeology Journal.

[14]  R. Crosbie,et al.  Climate changes and variability in the Great Artesian Basin (Australia), future projections, and implications for groundwater management , 2019, Hydrogeology Journal.

[15]  R. Taylor,et al.  Groundwater storage dynamics in the world's large aquifer systems from GRACE: uncertainty and role of extreme precipitation , 2019, Earth System Dynamics.

[16]  J. Famiglietti,et al.  Identifying Climate-Induced Groundwater Depletion in GRACE Observations , 2019, Scientific Reports.

[17]  Wanchang Zhang,et al.  Long-term groundwater storage variations estimated in the Songhua River Basin by using GRACE products, land surface models, and in-situ observations. , 2019, The Science of the total environment.

[18]  M. Kennard,et al.  Biogeographical patterns of endemic diversity and its conservation in Australia's artesian desert springs , 2018 .

[19]  T. Farr,et al.  Sustained Groundwater Loss in California's Central Valley Exacerbated by Intense Drought Periods , 2018, Water resources research.

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

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

[22]  Martyn P. Clark,et al.  Increased rainfall volume from future convective storms in the US , 2017, Nature Climate Change.

[23]  J. Famiglietti,et al.  Groundwater rejuvenation in parts of India influenced by water-policy change implementation , 2017, Scientific Reports.

[24]  J. Awange,et al.  Analysis of hydrological variability over the Volta river basin using in-situ data and satellite observations , 2017 .

[25]  Joseph L. Awange,et al.  Assessing multi-satellite remote sensing, reanalysis, and land surface models' products in characterizing agricultural drought in East Africa. , 2017 .

[26]  A. Lv,et al.  Analysis of the spatio-temporal variability of terrestrial water storage in the Great Artesian Basin, Australia. , 2017 .

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

[28]  A. Huete,et al.  Spatial partitioning and temporal evolution of Australia's total water storage under extreme hydroclimatic impacts , 2016 .

[29]  Vagner G. Ferreira,et al.  Spatio-temporal variability of droughts and terrestrial water storage over Lake Chad Basin using independent component analysis , 2016 .

[30]  D. Khare,et al.  Change in rainfall erosivity in the past and future due to climate change in the central part of India , 2016, International Soil and Water Conservation Research.

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

[32]  Brian C. Gunter,et al.  Assessing total water storage and identifying flood events over Tonlé Sap basin in Cambodia using GRACE and MODIS satellite observations combined with hydrological models , 2016 .

[33]  J. Zeng,et al.  Comparison of soil moisture in GLDAS model simulations and in situ observations over the Tibetan Plateau , 2016 .

[34]  Joseph L. Awange,et al.  Understanding changes in terrestrial water storage over West Africa between 2002 and 2014 , 2016 .

[35]  Di Long,et al.  Hydrologic implications of GRACE satellite data in the Colorado River Basin , 2015 .

[36]  S. Swenson,et al.  Quantifying renewable groundwater stress with GRACE , 2015, Water resources research.

[37]  M. Watkins,et al.  Improved methods for observing Earth's time variable mass distribution with GRACE using spherical cap mascons , 2015 .

[38]  B. Chao,et al.  Terrestrial water storage anomalies of Yangtze River Basin droughts observed by GRACE and connections with ENSO , 2015 .

[39]  B. Scanlon,et al.  GRACE satellite observed hydrological controls on interannual and seasonal variability in surface greenness over mainland Australia , 2014 .

[40]  D. Kumar,et al.  Identification of prominent spatio-temporal signals in GRACE derived terrestrial water storage for India , 2014 .

[41]  J. Famiglietti,et al.  A GRACE‐based water storage deficit approach for hydrological drought characterization , 2014 .

[42]  Alan Randall,et al.  The Economic Contest Between Coal Seam Gas Mining and Agriculture on Prime Farmland: It May Be Closer than We Thought , 2013 .

[43]  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.

[44]  B. Smerdon,et al.  Water resource assessment for the Great Artesian Basin. Synthesis of a report to the Australian Government from the CSIRO Great Artesian Basin Water Resource Assessment , 2012 .

[45]  C. Moore,et al.  Modelling of climate and development. A technical report to the Australian Government from the CSIRO Great Artesian Basin Water Resource Assessment , 2012 .

[46]  R. Steven Nerem,et al.  The 2011 La Niña: So strong, the oceans fell , 2012 .

[47]  Mansour Almazroui,et al.  Recent climate change in the Arabian Peninsula: Seasonal rainfall and temperature climatology of Saudi Arabia for 1979-2009 , 2012 .

[48]  M. Rodell,et al.  Use of Gravity Recovery and Climate Experiment terrestrial water storage retrievals to evaluate model estimates by the Australian water resources assessment system , 2011 .

[49]  Wenxi Lu,et al.  Water storage change in the Himalayas from the Gravity Recovery and Climate Experiment (GRACE) and an empirical climate model , 2011 .

[50]  Wenpeng Li,et al.  A review of regional groundwater flow modeling , 2011 .

[51]  K. Trenberth Changes in precipitation with climate change , 2011 .

[52]  J. Awange,et al.  On the suitability of the 4° × 4° GRACE mascon solutions for remote sensing Australian hydrology , 2011 .

[53]  B. Yarnal,et al.  Rainfall variability and trends in semi-arid Botswana: Implications for climate change adaptation policy , 2010 .

[54]  Peter Akpodiogaga-a,et al.  General Overview of Climate Change Impacts in Nigeria , 2010 .

[55]  Luis S. Pereira,et al.  Spatial Patterns and Temporal Variability of Drought in Western Iran , 2009 .

[56]  P. Bauer-Gottwein,et al.  How can remote sensing contribute in groundwater modeling? , 2007 .

[57]  V. N. Sharda,et al.  Estimation of groundwater recharge from water storage structures in a semi-arid climate of India , 2006 .

[58]  S. Fleming,et al.  Aquifer Responses to El Niño–Southern Oscillation, Southwest British Columbia , 2006, Ground water.

[59]  B. Séguin,et al.  Review on estimation of evapotranspiration from remote sensing data: From empirical to numerical modeling approaches , 2005 .

[60]  M. Watkins,et al.  GRACE Measurements of Mass Variability in the Earth System , 2004, Science.

[61]  Jeffrey P. Walker,et al.  THE GLOBAL LAND DATA ASSIMILATION SYSTEM , 2004 .

[62]  R. Fensham,et al.  Spring wetlands of the Great Artesian Basin, Queensland, Australia , 2003, Wetlands Ecology and Management.

[63]  Ian T. Jolliffe,et al.  Simplified EOFs - three alternatives to rotation , 2002 .

[64]  C. Ndehedehe,et al.  Assessing land water storage dynamics over South America , 2020 .

[65]  R. Fensham,et al.  Oases to Oblivion: The Rapid Demise of Springs in the South‐Eastern Great Artesian Basin, Australia , 2015, Ground water.

[66]  Hongliang Fang,et al.  Global Land Data Assimilation System (GLDAS) Products, Services and Application from NASA Hydrology Data and Information Services Center (HDISC) , 2009 .

[67]  K. D. Sharma,et al.  Modelling hydrological processes in arid and semi-arid areas: an introduction to the workshop. , 2008 .

[68]  S. Fleming,et al.  Aquifer Responses to El Nino-Southern Oscillation, , 2006 .

[69]  M. Lubczynski Groundwater fluxes in arid and semi-arid environments , 2006 .

[70]  W. Ponder,et al.  Recovery plan for the community of native species dependent on natural discharge of groundwater from the Great Artesian Basin 2006 - 2010 , 2005 .

[71]  I. Pestov,et al.  GEOTHERMAL RESOURCES OF THE GREAT ARTESIAN BASIN, AUSTRALIA , 2002 .

[72]  S. Vines Simple principal components , 2000 .

[73]  Engida Merasha Annual Rainfall and potential evapotranspiration in Ethiopia. , 1999 .

[74]  T. Walker The Great Artesian Basin, Australia , 1996 .