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A GIS-Based Framework to Identify Opportunities to Use Surface Water to Offset Groundwater Withdrawals

  • Jian ChenEmail author
  • Whitney P. BroussardIII
  • David M. Borrok
  • Fabiane B. Speyrer
Article
  • 17 Downloads

Abstract

The over-use of groundwater is an increasing issue even in regions of the U.S. traditionally characterized by abundant rainfall and surface water. Part of the groundwater withdrawals in these regions can potentially be replaced by surface water, and quantitative spatial analysis to demonstrate this potential may help to spur policy changes. However, one challenge for this type of spatial analysis is the lack of groundwater withdrawal data at the watershed scale. For example, estimates of groundwater withdraw are only available at the county-level for most of the U.S., which is not granular enough to be useful for local management decisions. The present study developed a GIS-based framework for spatially disaggregating available groundwater withdrawal information based on ancillary information such as the well’s minimum casing diameter. This information was used to identify potential opportunities where surface water could be used to offset groundwater withdrawals. The application of this framework to irrigation water demand in the state of Louisiana shows that a significant fraction of groundwater withdrawals can potentially be offset by available surface water. This basic framework can be complemented with additional considerations such as the availability of surface water to more fully evaluate water management scenarios.

Keywords

Dasymetric mapping Disaggregation GIS Groundwater withdrawal Proximity analysis 

Notes

Acknowledgements

This material is based upon work supported by the National Science Foundation under grant No. CBET-1360398 and grant No. DUE-1122898. All the authors acknowledge their previous employer, the University of Louisiana at Lafayette, where the work was performed.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

Supplementary material

11269_2019_2298_Fig6_ESM.png (628 kb)
Figure S1

Lnd Use in Louisiana (1 km) resampled from USGS NLCD 2011 (PNG 628 kb)

11269_2019_2298_MOESM1_ESM.tif (1.1 mb)
High resolution image (TIF 1144 kb)

References

  1. Ayotte JD, Belaval M, Olson SA, Burow KR, Flanagan SM, Hinkle SR, Lindsey BD (2015) Factors affecting temporal variability of arsenic in groundwater used for drinking water supply in the United States. Sci Total Environ 505:1370–1379.  https://doi.org/10.1016/j.scitotenv.2014.02.057 CrossRefGoogle Scholar
  2. Borrok DM, Chen J, Eldardiry H, Habib E (2018) A framework for incorporating the impact of water quality on water supply stress: an example from Louisiana, USA. J Am Water Resour Assoc 54(1):134–147.  https://doi.org/10.1111/1752-1688.12597 CrossRefGoogle Scholar
  3. Chakir R (2009) Spatial downscaling of agricultural land-use data: an econometric approach using cross entropy. Land Econ 85(2):238–251.  https://doi.org/10.3368/le.85.2.238 CrossRefGoogle Scholar
  4. Conner WH, Day JW Jr (1976) Productivity and composition of a baldcypress-water tupelo site and a bottomland hardwood site in a Louisiana swamp. Am J Bot 63:1354–1364.  https://doi.org/10.1002/j.1537-2197.1976.tb13221.x CrossRefGoogle Scholar
  5. Davidsen C, Liu S, Mo X, Rosbjerg D, Bauer-Gottwein P (2015) The cost of ending groundwater overdraft on the North China plain. Hydrol Earth Syst Sci 12:5931–5966.  https://doi.org/10.5194/hess-20-771-2016 CrossRefGoogle Scholar
  6. Davis M, Wilkins J (2011) A defining resource: Louisiana’s place in the emerging water economy. Loyola Law Review 57:271–293Google Scholar
  7. Eldardiry H, Habib EH, Borrok DM (2016) Small-scale catchment analysis of water stress in wet regions of the US: an example from Louisiana. Environ Res Lett 11:124031.  https://doi.org/10.1088/1748-9326/aa51dc CrossRefGoogle Scholar
  8. Famiglietti JS, Rodell M (2013) Water in the balance. Science 340:1300–1301.  https://doi.org/10.1126/science.1236460 CrossRefGoogle Scholar
  9. Garb JL, Crinket RG, Wait RB (2007) Estimating populations at risk for disaster preparedness and response. J Homel Secur Emerg 4(1)Google Scholar
  10. Garrett ES, dos Santos CL, Jahncke ML (1997) Public, animal, and environmental health implications of aquaculture. Emerg Infect Dis 3(4):453–457.  https://doi.org/10.3201/eid0304.970406 CrossRefGoogle Scholar
  11. Garza R, Krause RE (1996) Water-supply potential of major streams and the Upper Floridan Aquifer in the Vicinity of Savannah, Georgia. U.S. Geological Survey Water-Supply Paper 0886-9308Google Scholar
  12. Gaughan AE, Stevens FR, Linard C, Jia P, Tatem AJ (2013) High resolution population distribution maps for Southeast Asia in 2010 and 2015. PLoS One 8:e55882.  https://doi.org/10.1371/journal.pone.0055882 CrossRefGoogle Scholar
  13. Goerlich FJ, Cantarino I (2013) A population density grid for Spain. Int J Geogr Inf Sci 27:2247–2263.  https://doi.org/10.1080/13658816.2013.799283 CrossRefGoogle Scholar
  14. Hay SI, Noor AM, Nelson A, Tatem AJ (2005) The accuracy of human population maps for public health application. Trop Med Int Health 10:1073–1086.  https://doi.org/10.1111/j.1365-3156.2005.01487.x CrossRefGoogle Scholar
  15. Heywood CE, Griffith JM (2013) Simulation of the groundwater flow in the “1500-foot” sand and “2000-foot” sand and movement of saltwater in the “2000-foot” sand of the Baton Rouge area, Louisiana. U.S. Geological Survey Open File Report 2013-1153Google Scholar
  16. Hoogesteger J, Wester P (2015) Intensive groundwater use and (in) equity: processes and governance challenges. Environ Sci Pol 51:117–124.  https://doi.org/10.1016/j.envsci.2015.04.004 CrossRefGoogle Scholar
  17. Kniffen FB, Hillard SB (1988) Louisiana, its land and people. Louisiana State University Press, Baton RougeGoogle Scholar
  18. Konikow LF (2013) Groundwater depletion in the United States (1900–2008): U.S. geological survey scientific investigations report 2013–5079, p. 63. <http://pubs.usgs.gov/sir/2013/5079>
  19. LDEQ (1999) Chicot aquifer summary baseline monitoring program, FY 1999. Part III of the triennial summary report for the environmental evaluation division of the LDEQ. http://www.deq.louisiana.gov/portal/DIVISIONS/BusinessandCommunityOutreach/AquiferEvaluationandProtection/AquiferSamplingandAssessmentProgramASSET.aspx
  20. LDEQ (2009) Chicot aquifer summary, 2008. Aquifer sampling and assessment program. Appendix 10 to the 2009 triennial summary report. http://www.deq.louisiana.gov/portal/DIVISIONS/BusinessandCommunityOutreach/AquiferEvaluationandProtection/AquiferSamplingandAssessmentProgramASSET.aspx
  21. LDNR (2011) Recommendations for a statewide ground water management plan. http://www.dnr.louisiana.gov/assets/OC/env_div/gw_res/20111206_GWPLAN_FINALTECHAPP.pdf
  22. Liu Y, Gupta H, Springer E, Wagener T (2008) Linking science with environmental decision making: experiences from an integrated modeling approach to supporting sustainable water resources management. Environ Model Softw 23:846–858.  https://doi.org/10.1016/j.envsoft.2007.10.007 CrossRefGoogle Scholar
  23. Lovelace JK, Fontenot JW, Frederick CP (2004) Withdrawls, water levels, and specific conductance in the Chicot aquifer system in southwestern Louisiana, 2000-03. U.S. geological survey, scientific investigations report 2004-5212. 61pGoogle Scholar
  24. Maantay JA, Maroko AP (2009) Mapping urban risk: flood hazards, race, & environmental justice in New York. Appl Geogr 29(1):111–124CrossRefGoogle Scholar
  25. Maantay JA, Maroko AR, Porter-Morgan H (2008) A new method for mapping population and understanding the spatial dynamics of disease in urban areas: asthma in the Bronx, New York. Urban Geogr 29:724–738.  https://doi.org/10.2747/0272-3638.29.7.724 CrossRefGoogle Scholar
  26. McGuire TR (2006) Oil and gas in South Louisiana. In: Markets and market liberalization: ethnographic reflections. Emerald Group Publishing Limited, Bingley, pp 63–87Google Scholar
  27. McKay L, Bondelid T, Dewald T, Johnston J, Moore R, Rea A (2012) NHDPlus version 2: user guide. ftp://ftp.horizon-systems.com/NHDplus/NHDPlusV21/Documentation/NHDPlusV2_User_Guide.pdf
  28. Mennis J (2009) Dasymetric mapping for estimating population in small areas. Geogr Compass 3:727–745.  https://doi.org/10.1111/j.1749-8198.2009.00220.x CrossRefGoogle Scholar
  29. Mennis J (2015) Increasing the accuracy of urban population analysis with dasymetric mapping. Cityscape 17(1):115–126Google Scholar
  30. Mennis J (2016) Dasymetric spatiotemporal interpolation. Prof Geogr 68(1):92–102.  https://doi.org/10.1080/00330124.2015.1033669 CrossRefGoogle Scholar
  31. Mennis J, Hultgren T (2005) Dasymetric mapping for disaggregating coarse resolution population data. In: Proceedings of the 22nd Annual International Cartographic Conference, p 9–16Google Scholar
  32. Mitsch WJ, Bernal B, Nahlik AM, Mander Ü, Zhang L, Anderson CJ, Jørgensen SE, Brix H (2013) Wetlands, carbon, and climate change. Landsc Ecol 28(4):583–597.  https://doi.org/10.1007/s10980-012-9758-8 CrossRefGoogle Scholar
  33. Nguyen AK, Zhang H, Stewart RA (2012) Analysis of simultaneous water end use events using a hybrid combination of filtering and pattern recognition techniques. International environmental modelling and software society (iEMSs), 2012 international congress on environmental modelling and softwareGoogle Scholar
  34. Nyman DJ, Halford KJ, Martin A Jr (1990) Geohydrology and simulation of flow in the Chicot aquifer system of southwest Louisiana. Louisiana Department of Transportation and Development, water resources technical report 50. 65pGoogle Scholar
  35. Pellenq J, Kalma J, Boulet G, Saulnier GM, Wooldridge S, Kerr Y, Chehbouni A (2003) A disaggregation scheme for soil moisture based on topography and soil depth. J Hydrol 276(1):112–127.  https://doi.org/10.1016/S0022-1694(03)00066-0 CrossRefGoogle Scholar
  36. Poudel DD, Lee T, Srinivasan R, Abbaspour KC, Jeong CY (2013) Assessment of seasonal and spatial variation of surface water quality, identification of factors associated with water quality variability, and the modeling of critical nonpoint source pollution areas in an agricultural watershed. J Soil Water Conserv 68:155–171.  https://doi.org/10.2489/jswc.68.3.155 CrossRefGoogle Scholar
  37. Poulsen E, Kennedy LW (2004) Using dasymetric mapping for spatially aggregated crime data. J Quant Criminol 20(3):243–262CrossRefGoogle Scholar
  38. Ritter WF, de Mooy J (2014) Groundwater use in agriculture: approaches to sustainable management in US case studies. World Environmental and Water Resources Congress 2014:335–346.  https://doi.org/10.1061/9780784413548.036 Google Scholar
  39. Romaire RP, McClain WR, Shirley MG, Lutz CG (2005) Crawfish aquaculture–marketing. Southern Regional Aquaculture Center, 2402. http://agrilife.org/fisheries/files/2013/09/SRAC-Publication-No.-2402-Crawfish-Aquaculture-Marketing.pdf
  40. Sargent BP (2011) Revised 2012. Water use in Louisiana, 2010. Louisiana Department of Transportation and Development, Water Resources Special Report 17, p 145. http://la.water.usgs.gov/publications/pdfs/WaterUse2010.pdf
  41. Scott CA, Shah T (2004) Groundwater overdraft reduction through agricultural energy policy: insights from India and Mexico. Int J Water Resour Dev 20(2):149–164.  https://doi.org/10.1080/0790062042000206156 CrossRefGoogle Scholar
  42. Shah T, Mukherjee A (2001) The socio-ecology of groundwater in Asia, IWMI–Tata Working Paper (Anand: International Water Management Institute)Google Scholar
  43. Tarboton DG, Sharma A, Lall U (1998) Disaggregation procedures for stochastic hydrology based on nonparametric density estimation. Water Resour Res 34(1):107–119.  https://doi.org/10.1029/97WR02429 CrossRefGoogle Scholar
  44. Tollett RW, Fendick RB Jr, Simmons LB (2003) Quality of water in domestic wells in the Chicot and Chicot equivalent aquifer systems, Southern Louisiana and Southwest Mississippi, 2000-2001. U.S. geological survey water-resources investigations report 03-4122Google Scholar
  45. Zektser IS (2000) Groundwater and the environment: applications for the global community. Lewis Publishers, Boca Raton. 175 pCrossRefGoogle Scholar
  46. Zektser S, Loáiciga HA, Wolf JT (2005) Environmental impacts of groundwater overdraft: selected case studies in the southwestern United States. Environ Geol 47(3):396–404.  https://doi.org/10.1007/s00254-004-1164-3 CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Department of GeographyUniversity of North AlabamaFlorenceUSA
  2. 2.JESCO Environmental & Geotechnical Services, Inc.JenningsUSA
  3. 3.Geosciences and Geological and Petroleum Engineering DepartmentMissouri University of Science and TechnologyRollaUSA
  4. 4.Gulf Coast Inventory & Monitoring NetworkNational Park ServiceLafayetteUSA

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