Skip to main content
Log in

An Empirical Method to Investigate the Spatial and Temporal Distribution of Annual Average Groundwater Recharge Intensity-a Case Study in Grand River, Michigan, USA

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

The temporal and spatial features of annual average groundwater recharge play an important role in managing groundwater resources. The digital filter technique is employed to separate baseflow from streamflow, and then the recession curve displacement method is applied to estimate the annual average monthly groundwater recharge. The streamflow data of 15 gauging stations are applied to investigate the temporal and spatial features of annual monthly average groundwater recharge in Grand River watershed, Michigan, US. The results show that (1) the annual monthly average groundwater recharge in Grand River watershed gradually drops from 40.82 cm/a in March to 10.50 cm/a in August. In period of September and February of the next year, the annual monthly average groundwater recharge steadily rises to 40.82 cm. The temperatures are the main reason that caused the significantly change of annual monthly average groundwater recharge. (2) The temporal feature of annual seasonal average groundwater recharge obey that “the annual seasonal average groundwater recharge in spring is the highest and that in summer is the lowest; the annual seasonal average groundwater recharge in winter and autumn are between that in spring and summer”. (3) In spring, summer, and autumn, the annual seasonal average groundwater recharge in upper reaches is less than that in lower reaches. While the annual seasonal average groundwater recharge in north Grand River watershed is higher than that in south, in winter. The characteristics of space distribution of annual seasonal average groundwater recharge are determined by atmospheric wet deposition, temperature, soil types, and vegetation coverage, and so on.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Amit H, Lyakhovsky V, Katz A, Starinsky A, Burg A (2002) Interpretation of spring recessing curves. Ground Water 4(5):543–551

    Article  Google Scholar 

  • Arnold JG, Allen PM (1999) Automated methods for estimating baseflow and groundwater recharge from streamflow records. J Am Water Resour Assoc 35(2):411–424

    Article  Google Scholar 

  • Arnold JG, Allen PM, Muttiah R, Bernhardt G (1995) Automated base flow separation and recession analysis techniques. Ground Water 33(6):1010–1018

    Article  Google Scholar 

  • Berger DL (1992) Groundwater recharge through active sand dunes in northwestern Nevada. Water Resour Bull 28(5):959–965

    Article  Google Scholar 

  • Bridget RS, Richard WH, Peter GC (2002) Choosing appropriate techniques for quantifying groundwater recharge. Hydrogeol J 10:18–39

    Article  Google Scholar 

  • Ford D, Williams P (1989) Karst hydrogeology and geomorphology. Unwin Hyman, London

    Book  Google Scholar 

  • Gerald C, Dimitri S (2007) Baseflow separation techniques for modular artificial neural network modelling in flow forecasting. Hydrol Sci J 52(3):491–507

    Article  Google Scholar 

  • Gerhart JM (1986) Groundwater recharge and its effects on nitrate concentration beneath a manured field site in Pennsylvania. Ground Water 24(4):483–489

    Article  Google Scholar 

  • Jiang XW, Li W, Wang XS, Ge SM, Liu J (2009) Effect of exponential decay in hydraulic conductivity with depth on regional groundwater flow. Geophys Res Lett 36(24):1–4

    Article  Google Scholar 

  • Knisel WG (1963) Baseflow recession analysis for comparison of drainage basins and geology. J Geophys Res 68(12):3649–3653

    Article  Google Scholar 

  • Krulikas RK, Giese GL (1995) Recharge to the surficial aquifer system in Lee and Hendry Counties, Florida, US. Geological Survey Water Resources Investigations Report, 1–21

  • Lin HL, Ke KY, Tan YC, Wu SC, Gao H, Chen PC, Fang ST (2013) Estimating pumping rates and identifying potential recharge zones for groundwater management in multi-aquifers system. Water Resour Manag 27(9):3293–3306

    Article  Google Scholar 

  • Liu LL, Bao AM, Pan XL, Chen X (2013) Effect of land-Use change and artificial recharge on the groundwater in an arid inland river basin. Water Resour Manag 27(10):3775–3790

    Article  Google Scholar 

  • Lyne VD, Hollick M (1979) Stochastic time variable rainfall runoff modeling. Hydrology and Water Resources Symposium; Institution of Engineers, Berth, pp 89–92

    Google Scholar 

  • Makoto TG (2002) Estimations of the past groundwater recharge rate from deep borehole temperature data. Carena 48(1):39–51

    Google Scholar 

  • Manghi F, Motazavi B, Crother C, Hamdi MR (2009) Estimating regional groundwater recharge using a hydrological budget method. Water Resour Manag 23(12):2475–2489

    Article  Google Scholar 

  • Meyboom P (1961) Estimating groundwater recharge from stream hydrograph. J Geophys Res 66(4):1203–1214

    Article  Google Scholar 

  • Milind VK, Gralg HB, Peter JB (1997) Water balance modeling of earthen final covers. J Geotech Geoenviron Eng 123(8):744–754

    Article  Google Scholar 

  • Nathan RJ, McMahon TA (1990) Evaluation of automated techniques for baseflow and recession analysis. Water Resour Res 26(7):1465–1473

    Article  Google Scholar 

  • Osterkamp WR, Lane LJ, Savard CS (1994) Recharge estimates using a geomorphic/distributed-parameter simulation approach, Armargosa river basin. Water Resour Bull 30(3):493–507

    Article  Google Scholar 

  • Raneesh KY, Thampi SG (2013) A simple semi-distributed hydrologic model to estimate groundwater recharge in a humid tropical basin. Water Resour Manag 27(5):1517–1532

    Article  Google Scholar 

  • Reay WG, Gallagher DL, Simmons GM (1992) Groundwater discharge and its impact on surface water quality in a chesapeake bay inlet. Ground Water 28(6):1121–1133

    Google Scholar 

  • Rorabagh MI (1964) Estimating changes in bank storage and groundwater contribution to streamflow. Int Assoc Sci Hydrol 63:432–441

    Google Scholar 

  • Rutledge AT, Daniel CC (1994) Testing and automated method to estimate groundwater recharge from streamflow records. Ground Water 32(2):180–189

    Article  Google Scholar 

  • Scanlon BR, Reedy RC, Stonestrom DA, Prudic DE, Dennehy KF (2005) Impact of land use and land cover change on groundwater recharge and quality in the southwestern US. Glob Chang Biol 11:1577–1593

    Article  Google Scholar 

  • Taylor RG, Howard KWF (1996) Groundwater recharge in the Victoria Nile basin of East Africa: support for the soil moisture balance approach using stable isotopic tracers and flow modeling. J Hydrol 180:31–53

    Article  Google Scholar 

  • Wang H, Gao JE, Zhang MJ, Li XH, Zhang SL, Jia LZ (2015) Effects of rainfall intensity on groundwater recharge based on simulated rainfall experiments and a groundwater flow model. Catena 127(4):80–91

    Article  Google Scholar 

  • Williams JB, Pinder JE (1990) Groundwater flow and runoff in a coastal plain stream. Water Resour Bull 26(2):343–352

    Article  Google Scholar 

  • Zhang YQ, Ahiablame L, Engel B, Liu JM (2013) Regression modeling of baseflow and baseflow index for Michigan USA. Water 5:1797–1815

    Article  Google Scholar 

Download references

Acknowledgments

This study was supported by the Sichuan Provincial Research institutes transformation of scientific and technological achievements (14010153). The authors would like to thank the anonymous reviewers for their constructive comments and suggestions to improve the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shi-huai Deng.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jing, Z., Zhang, Ly., Xie, Q. et al. An Empirical Method to Investigate the Spatial and Temporal Distribution of Annual Average Groundwater Recharge Intensity-a Case Study in Grand River, Michigan, USA. Water Resour Manage 30, 195–206 (2016). https://doi.org/10.1007/s11269-015-1155-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-015-1155-z

Keywords

Navigation