Correlation Analysis Between Groundwater Decline Trend and Human-Induced Factors in Bashang Region

In Northern China, many regions and cities are located in semi-arid regions, and groundwater is even the only source of water to support human survival and social development. Affected by human activities, the Bashang (BS) region (including Zhangjiakou City and part of Xilin Gol League) have showed a significant decline in groundwater levels in recent years. However, in the BS region, the causes for the decline in groundwater level were not clear. In this study, we used time series of multi-source data Moderate Resolution Imaging Spectroradiometer (MODIS), Gravity Recovery and Climate Experiment (GRACE) and Global Land Data Assimilation System (GLDAS) to analyze vegetation and groundwater changes based on linear regression models. The variation trends of NDVI (Normalized Difference Vegetation Index, derived from MODIS) and GWSA (groundwater storage anomaly, derived from GRACE and GLDAS) indicated the increasingly better vegetation in the agriculture planting areas, partially degraded vegetation in the grassland, and the declining groundwater level in the whole study region. In order to assess the impact of human-induced factors on vegetation and groundwater, the R U E s e a s o n a l calculation model was proposed based on RUE (rain use efficiency) in this study. The R U E s e a s o n a l calculation results showed that human-induced factors promoted the growth of vegetation in agricultural areas and accelerated the consumption of groundwater. In addition, we also obtained temporal and spatial distributions of human activities-affected regions. The area affected by human-induced factors in the south-central study area increased, which accelerated the decline in groundwater levels. From bulletin data, we found that the increasing tourists and vegetable production are respectively the most important factors for the increased consumption of urban water and agricultural water. Based on multi-source data, the influences of various human-induced factors on the ecological environment were explored and the area affected by human-induced factors was estimated. The results provide the valuable guidance for water resource management departments. In the BS region, it is necessary to regulate agricultural water use and strengthen residential water management.

[1]  D. Lettenmaier,et al.  A simple hydrologically based model of land surface water and energy fluxes for general circulation models , 1994 .

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

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

[4]  Bryce A. Melzer,et al.  Evaluation of GRACE Mascon Gravity Solution in Relation to Interannual Oceanic Water Mass Variations , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[5]  V. M. Tiwari,et al.  Dwindling groundwater resources in northern India, from satellite gravity observations , 2009 .

[6]  T. Reilly,et al.  Flow and Storage in Groundwater Systems , 2002, Science.

[7]  Onur Lenk,et al.  Satellite based estimates of terrestrial water storage variations in Turkey , 2013 .

[8]  Wenji Zhao,et al.  Subregional‐scale groundwater depletion detected by GRACE for both shallow and deep aquifers in North China Plain , 2015 .

[9]  T. Gleeson,et al.  Regional strategies for the accelerating global problem of groundwater depletion , 2012 .

[10]  C. Rixen,et al.  Winter Tourism and Climate Change in the Alps: An Assessment of Resource Consumption, Snow Reliability, and Future Snowmaking Potential , 2011 .

[11]  C. Tucker,et al.  Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003 , 2005 .

[12]  K. Price,et al.  Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA , 2003 .

[13]  A. Diouf,et al.  Monitoring land-cover changes in semi-arid regions: remote sensing data and field observations in the Ferlo, Senegal , 2001 .

[14]  A. Bao,et al.  Influences of environmental changes on water storage variations in Central Asia , 2018, Journal of Geographical Sciences.

[15]  Peng Yang,et al.  An analysis of terrestrial water storage variations from GRACE and GLDAS: The Tianshan Mountains and its adjacent areas, central Asia , 2015 .

[16]  T. Carlson,et al.  On the relation between NDVI, fractional vegetation cover, and leaf area index , 1997 .

[17]  Wenzhi Zhao,et al.  Soil degradation and restoration as affected by land use change in the semiarid Bashang area, northern China , 2005 .

[18]  Zizhan Zhang,et al.  Groundwater Depletion in the West Liaohe River Basin, China and Its Implications Revealed by GRACE and In Situ Measurements , 2018, Remote. Sens..

[19]  Chen Shou-yu,et al.  A DRASTIC-based fuzzy pattern recognition methodology for groundwater vulnerability evaluation , 2003 .

[20]  L. Longuevergne,et al.  Monitoring groundwater storage changes in the highly seasonal humid tropics: Validation of GRACE measurements in the Bengal Basin , 2012 .

[21]  Matthew Rodell,et al.  Low degree spherical harmonic influences on Gravity Recovery and Climate Experiment (GRACE) water storage estimates , 2005 .

[22]  Brian F. Thomas,et al.  Monitoring groundwater storage changes in complex basement aquifers: An evaluation of the GRACE satellites over East Africa , 2016 .

[23]  Jesse E. Bell,et al.  Rain use efficiency across a precipitation gradient on the Tibetan Plateau , 2010 .

[24]  R. Reedy,et al.  Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data , 2018, Proceedings of the National Academy of Sciences.

[25]  R. Dickinson,et al.  The Common Land Model , 2003 .

[26]  M. Kappas,et al.  Management of Environmental Quality : An International Journal Emerald Article : A remote sensing based monitoring system for discrimination between climate and human-induced vegetation change in Central Asia , 2012 .

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

[28]  Xiaoxia Lin,et al.  Dynamic modeling application for simulating optimal policies on water conservation in Zhangjiakou City, China , 2018, Journal of Cleaner Production.

[29]  H. C. Bonsor,et al.  Seasonal and Decadal Groundwater Changes in African Sedimentary Aquifers Estimated Using GRACE Products and LSMs , 2018, Remote. Sens..

[30]  P. Döll,et al.  Global‐scale assessment of groundwater depletion and related groundwater abstractions: Combining hydrological modeling with information from well observations and GRACE satellites , 2014 .

[31]  J. Kusche,et al.  Separation of large scale water storage patterns over Iran using GRACE, altimetry and hydrological data , 2014 .

[32]  Lu Zhang,et al.  Global impacts of conversions from natural to agricultural ecosystems on water resources: Quantity versus quality , 2007 .

[33]  R. Lunetta,et al.  Land-cover change detection using multi-temporal MODIS NDVI data , 2006 .

[34]  Rasmus Fensholt,et al.  Analysis of trends in the Sahelian `rain-use efficiency' using GIMMS NDVI, RFE and GPCP rainfall data , 2011 .

[35]  Adam Milewski,et al.  Monitoring and comparison of terrestrial water storage changes in the northern high plains using GRACE and in-situ based integrated hydrologic model estimates , 2016 .

[36]  B. Scanlon,et al.  Global evaluation of new GRACE mascon products for hydrologic applications , 2016 .

[37]  R. Fensholt,et al.  Evaluation of Earth Observation based global long term vegetation trends — Comparing GIMMS and MODIS global NDVI time series , 2012 .

[38]  David Dent,et al.  Recent Land Degradation and Improvement in China , 2009, Ambio.

[39]  Arjen Y. Hoekstra,et al.  The global component of freshwater demand and supply: an assessment of virtual water flows between nations as a result of trade in agricultural and industrial products , 2008 .

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

[41]  Juana Paul Moiwo,et al.  Estimation of irrigation requirement for sustainable water resources reallocation in North China , 2010 .

[42]  Benjamin F. Zaitchik,et al.  Evaluation of the Global Land Data Assimilation System using global river discharge data and a source‐to‐sink routing scheme , 2010 .

[43]  Paul Peeters,et al.  Tourism and water use: supply, demand, and security. An international review. , 2012 .

[44]  H. Kooi,et al.  Beneath the surface of global change: Impacts of climate change on groundwater , 2011 .

[45]  M. Bierkens,et al.  Global depletion of groundwater resources , 2010 .

[46]  P. Döll Vulnerability to the impact of climate change on renewable groundwater resources: a global-scale assessment , 2009 .

[47]  E. Kang,et al.  Recent and Future Climate Change in Northwest China , 2007 .

[48]  H. Elsasser,et al.  The Vulnerability of the Snow Industry in the Swiss Alps , 2001 .

[49]  Zhibao Dong,et al.  Wind Erosion Induced Soil Degradation in Northern China: Status, Measures and Perspective , 2014 .

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

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

[52]  Y. Hong,et al.  Have GRACE satellites overestimated groundwater depletion in the Northwest India Aquifer? , 2016, Scientific Reports.

[53]  S. Swenson,et al.  Post‐processing removal of correlated errors in GRACE data , 2006 .

[54]  B. Scanlon,et al.  Ground referencing GRACE satellite estimates of groundwater storage changes in the California Central Valley, USA , 2012 .

[55]  B. Scanlon,et al.  Comparison of seasonal terrestrial water storage variations from GRACE with groundwater‐level measurements from the High Plains Aquifer (USA) , 2007 .

[56]  J. D. Tarpley,et al.  Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model , 2003 .

[57]  B. Muys,et al.  Integration of legume trees in maize-based cropping systems improves rain use efficiency and yield stability under rain-fed agriculture , 2011 .

[58]  P. Ciais,et al.  The impacts of climate change on water resources and agriculture in China , 2010, Nature.

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

[60]  Yun Pan,et al.  Groundwater Storage Changes in China from Satellite Gravity: An Overview , 2018, Remote. Sens..

[61]  Michael L. Roderick,et al.  The use of time-integrated NOAA NDVI data and rainfall to assess landscape degradation in the arid shrubland of Western Australia , 2003 .

[62]  S. Swenson,et al.  Satellites measure recent rates of groundwater depletion in California's Central Valley , 2011 .

[63]  B. Scanlon,et al.  Ground water and climate change , 2013 .

[64]  M. Cheng,et al.  Variations in the Earth's oblateness during the past 28 years , 2004 .

[65]  B. Wardlow,et al.  Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains , 2008 .

[66]  José M. Paruelo,et al.  Production as a function of resource availability: Slopes and efficiencies are different , 2005 .

[67]  W. Feng,et al.  Evaluation of groundwater depletion in North China using the Gravity Recovery and Climate Experiment (GRACE) data and ground‐based measurements , 2013 .

[68]  Rasmus Fensholt,et al.  Assessing Land Degradation/Recovery in the African Sahel from Long-Term Earth Observation Based Primary Productivity and Precipitation Relationships , 2013, Remote. Sens..

[69]  Alfredo Huete,et al.  Water Loss Due to Increasing Planted Vegetation over the Badain Jaran Desert, China , 2018, Remote. Sens..

[70]  S Gössling,et al.  The consequences of tourism for sustainable water use on a tropical island: Zanzibar, Tanzania. , 2001, Journal of environmental management.

[71]  W. Tad Pfeffer,et al.  Recent contributions of glaciers and ice caps to sea level rise , 2012, Nature.

[72]  Qiang Huang,et al.  GRACE-Based Terrestrial Water Storage in Northwest China: Changes and Causes , 2018, Remote. Sens..

[73]  J. Famiglietti,et al.  Satellite-based estimates of groundwater depletion in India , 2009, Nature.

[74]  R. Koster,et al.  Modeling the land surface boundary in climate models as a composite of independent vegetation stands , 1992 .

[75]  Jennifer Small,et al.  Can human-induced land degradation be distinguished from the effects of rainfall variability? A case study in South Africa , 2007 .

[76]  J. Zak,et al.  Convergence across biomes to a common rain-use efficiency , 2004, Nature.

[77]  Hui Li,et al.  Drought and Flood Monitoring of the Liao River Basin in Northeast China Using Extended GRACE Data , 2018, Remote. Sens..