全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Use of Groundwater, Baseflow and SPEI to Evaluate Water Resources in Michigan, USA

DOI: 10.4236/jwarp.2024.1610037, PP. 640-670

Keywords: SPEI, Drought, Groundwater, Baseflow

Full-Text   Cite this paper   Add to My Lib

Abstract:

Precipitation and evaporation are commonly used to assess and forecast droughts. However, surface and groundwater respond to both land surface processes, land use, and climatic variables, and should be integrated into water management decisions. Water trend analysis near the Great Lakes is limited due to fluctuating cycles and data scarcity. In this study, we examine daily discharge data from 46 surface water gauges with high baseflow contributions and groundwater elevation from 28 observation wells in Michigan. Using established hydrograph separation techniques, we determined baseflow and standardized both annual average baseflow levels (SDBF) and groundwater levels (SDGW) from 1960 to 2022. These results are compared to the widely used Standardized Precipitation-Evapotranspiration Index (SPEI). SPEI is a widely used drought indicator that integrates both precipitation and potential evapotranspiration, offering a more comprehensive measure of water balance. While the SPEI suggests that Michigan is becoming wetter, the SDBF shows a mix of both wet and dry conditions. Interpreting SDGW is more challenging due to incomplete records, but it indicates varying groundwater stability across the state. In some areas, SDGW mirrors the trends seen in SDBF, while in others, it takes 3 to 4 years for groundwater levels to reflect the same changes observed in baseflow. Overall, SDBF provides a better understanding of surface processes and responses to changing climatic variables.

References

[1]  Channell, K., DelPizzo, J., Briley, L., Rood, R., Jorns, J. and Hutchens, K. (2022) Lake Michigan: A Summary of Anticipated Future Climate Conditions. Great Lakes Integrated Sciences and Assessments.
https://glisa.umich.edu/wp-content/uploads/2022/09/Michigan_Prospective_Report_2022.pdf
[2]  Channell, K., DelPizzo, J., Briley, L., Rood, R., Jorns, J. and Hutchens, K. (2022) Lake Superior: A Summary of Anticipated Future Climate Conditions. Great Lakes Integrated Sciences and Assessments.
https://glisa.umich.edu/wp-content/uploads/2022/09/Superior_Prospective_Report_2022.pdf
[3]  Byun, K., Chiu, C. and Hamlet, A.F. (2019) Effects of 21st Century Climate Change on Seasonal Flow Regimes and Hydrologic Extremes over the Midwest and Great Lakes Region of the US. Science of the Total Environment, 650, 1261-1277.
https://doi.org/10.1016/j.scitotenv.2018.09.063
[4]  Steinman, A.D., Uzarski, D.G., Lusch, D.P., Miller, C., Doran, P., Zimnicki, T., et al. (2022) Groundwater in Crisis? Addressing Groundwater Challenges in Michigan (USA) as a Template for the Great Lakes. Sustainability, 14, Article 3008.
https://doi.org/10.3390/su14053008
[5]  Gronewold, A.D., Fortin, V., Lofgren, B., Clites, A., Stow, C.A. and Quinn, F. (2013) Coasts, Water Levels, and Climate Change: A Great Lakes Perspective. Climatic Change, 120, 697-711.
https://doi.org/10.1007/s10584-013-0840-2
[6]  Gronewold, A.D. and Stow, C.A. (2014) Unprecedented Seasonal Water Level Dynamics on One of the Earth’s Largest Lakes. Bulletin of the American Meteorological Society, 95, 15-17.
https://doi.org/10.1175/bams-d-12-00194.1
[7]  Bellprat, O., Guemas, V., Doblas-Reyes, F. and Donat, M.G. (2019) Towards Reliable Extreme Weather and Climate Event Attribution. Nature Communications, 10, Article No. 1732.
https://doi.org/10.1038/s41467-019-09729-2
[8]  Aboelnour, M., Gitau, M.W. and Engel, B.A. (2019) Hydrologic Response in an Urban Watershed as Affected by Climate and Land-Use Change. Water, 11, Article 1603.
https://doi.org/10.3390/w11081603
[9]  Pielke, R.A., Marland, G., Betts, R.A., Chase, T.N., Eastman, J.L., Niles, J.O., et al. (2002) The Influence of Land-Use Change and Landscape Dynamics on the Climate System: Relevance to Climate-Change Policy Beyond the Radiative Effect of Greenhouse Gases. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 360, 1705-1719.
https://doi.org/10.1098/rsta.2002.1027
[10]  Vicente-Serrano, S.M., Beguería, S. and López-Moreno, J.I. (2010) A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. Journal of Climate, 23, 1696-1718.
https://doi.org/10.1175/2009jcli2909.1
[11]  World Meteorological Organization (2023) SPEI Dataset: Climatic Data and Modeling Tools.
http://spei.csic.es/
[12]  Bhatt, G., Linker, L., Shenk, G., Bertani, I., Tian, R., Rigelman, J., et al. (2023) Water Quality Impacts of Climate Change, Land Use, and Population Growth in the Chesapeake Bay Watershed. JAWRA Journal of the American Water Resources Association, 59, 1313-1341.
https://doi.org/10.1111/1752-1688.13144
[13]  Hameed, M.M., Razali, S.F.M., Mohtar, W.H.M.W., Rahman, N.A. and Yaseen, Z.M. (2023) Machine Learning Models Development for Accurate Multi-Months Ahead Drought Forecasting: Case Study of the Great Lakes, North America. PLOS ONE, 18, e0290891.
https://doi.org/10.1371/journal.pone.0290891
[14]  Barlow, P.M., and Leake, S.A. (2012) Streamflow Depletion by Wells-Understanding and Managing the Effects of Groundwater Pumping on Streamflow: U.S. Geological Survey Circular 1376.
https://pubs.usgs.gov/circ/1376/
[15]  Korus, J.T. and Burbach, M.E. (2009) Analysis of Aquifer Depletion Criteria with Implications for Groundwater Management. Great Plains Research, 19, 187-200.
http://www.jstor.org/stable/23780128
[16]  Ayers, J.R., Villarini, G., Schilling, K. and Jones, C. (2021) On the Statistical Attribution of Changes in Monthly Baseflow across the U.S. Midwest. Journal of Hydrology, 592, Article ID: 125551.
https://doi.org/10.1016/j.jhydrol.2020.125551
[17]  Clancy, K.A. (2023) Standardized Baseflow Drought Index Comparison to SPEI in High Baseflow Streams. Journal of Water Resource and Protection, 15, 557-580.
https://doi.org/10.4236/jwarp.2023.1511031
[18]  Manzano, J.E. and Barkdoll, B.D. (2022) Precipitation and Streamflow Trends in Michigan, USA. Sustainable Water Resources Management, 8, Article No. 56.
https://doi.org/10.1007/s40899-022-00606-3
[19]  USGS (US Geological Survey) (2024) Web Interface: U.S. Geological Survey National Water Information System Web Site.
http://waterdata.usgs.gov/nwis/
[20]  Vicente-Serrano, S.M. and National Center for Atmospheric Research Staff (2022) The Climate Data Guide: Standardized Precipitation Evapotranspiration Index (SPEI).
https://climatedataguide.ucar.edu/climate-data/standardized-precipitation-evapotranspiration-index-spei
[21]  Sloto, R.A. and Crouse, M.Y. (1996) HYSEP-A Computer Program for Stream-flow Hydrograph Separation and Analysis. U.S. Geological Survey Water-Resources Investigations Report 96-4040.
http://pubs.er.usgs.gov/publication/wri964040
[22]  Troolin, W.D. and Clancy, K. (2016) Comparison of Three Delineation Methods Using the Curve Number Method to Model Runoff. Journal of Water Resource and Protection, 8, 945-964.
https://doi.org/10.4236/jwarp.2016.811077
[23]  Jenson, S. (1984) Automated Derivation of Hydrological Basin Characteristics from Digital Elevation Data. US Geological Survey Report 14-08-0001-20129.
http://topotools.cr.usgs.gov/pdfs/automated-derivation-of-hydrologic-basin-characteristics-from-digital-elevatioin-model-data.pdf
[24]  USGS (US Geological Survey) (2019) NED (National Elevation Data) 2020 Elevation. SDE Raster Digital Data.
http://nationalmap.gov/eleva
[25]  USGS (US Geological Survey) (2020) NLCD (National Land Cover Database) 2020 Land Cover. SDE Raster Digital Data.
https://www.mrlc.gov/
[26]  U.S. Geological Survey (2024) Hydrological Unit Codes (HUC). Watershed Boundary Dataset.
https://www.usgs.gov/national-hydrography/watershed-boundary-dataset
[27]  Vicente-Serrano, S.M., López-Moreno, J.I., Beguería, S., Lorenzo-Lacruz, J., Azorin-Molina, C. and Morán-Tejeda, E. (2012) Accurate Computation of a Streamflow Drought Index. Journal of Hydrologic Engineering, 17, 318-332.
https://doi.org/10.1061/(asce)he.1943-5584.0000433
[28]  Wang, Y., Kong, Y., Chen, H. and Ding, Y. (2020) Spatial-Temporal Characteristics of Drought Detected from Meteorological Data with High Resolution in Shaanxi Province, China. Journal of Arid Land, 12, 561-579.
https://doi.org/10.1007/s40333-020-0066-x
[29]  Hayes, M.J., Svoboda, M.D., Wilhite, D.A. and Vanyarkho, O.V. (1999) Monitoring the 1996 Drought Using the Standardized Precipitation Index. Bulletin of the American Meteorological Society, 80, 429-438.
https://doi.org/10.1175/1520-0477(1999)080<0429:mtduts>2.0.co;2
[30]  McLeod, A.I. (2023). Kendall: Kendall Rank Correlation and Mann-Kendall Trend Test. Version 2.2.
https://cran.r-project.org/web/packages/Kendall/index.html
[31]  Hirsch, R.M., Slack, J.R. and Smith, R.A. (1982) Techniques of Trend Analysis for Monthly Water Quality Data. Water Resources Research, 18, 107-121.
https://doi.org/10.1029/wr018i001p00107
[32]  Hamed, K.H. and Ramachandra Rao, A. (1998) A Modified Mann-Kendall Trend Test for Autocorrelated Data. Journal of Hydrology, 204, 182-196.
https://doi.org/10.1016/s0022-1694(97)00125-x
[33]  Burn, D.H. and Hag Elnur, M.A. (2002) Detection of Hydrologic Trends and Variability. Journal of Hydrology, 255, 107-122.
https://doi.org/10.1016/s0022-1694(01)00514-5
[34]  Caloiero, T., Caloiero, P. and Frustaci, F. (2018) Long-Term Precipitation Trend Analysis in Europe and in the Mediterranean Basin. Water and Environment Journal, 32, 641.
[35]  Bloomfield, J.P., Gong, M., Marchant, B.P., Coxon, G. and Addor, N. (2021) How Is Baseflow Index (BFI) Impacted by Water Resource Management Practices? Hydrology and Earth System Sciences, 25, 5355-5379.
https://doi.org/10.5194/hess-25-5355-2021
[36]  Gao, Y., Chen, J., Luo, H. and Wang, H. (2020) Prediction of Hydrological Responses to Land Use Change. Science of the Total Environment, 708, Article ID: 134998.
https://doi.org/10.1016/j.scitotenv.2019.134998
[37]  Welsh, M.K., Vidon, P.G. and McMillan, S.K. (2020) Stream and Floodplain Restoration Impacts Riparian Zone Hydrology of Agricultural Streams. Environmental Monitoring and Assessment, 192, Article No. 85.
https://doi.org/10.1007/s10661-019-7795-3
[38]  Cherkauer, K.A. and Sinha, T. (2010) Hydrologic Impacts of Projected Future Climate Change in the Lake Michigan Region. Journal of Great Lakes Research, 36, 33-50.
https://doi.org/10.1016/j.jglr.2009.11.012
[39]  Marx, C., Tetzlaff, D., Hinkelmann, R. and Soulsby, C. (2023) Effects of 66 Years of Water Management and Hydroclimatic Change on the Urban Hydrology and Water Quality of the Panke Catchment, Berlin, Germany. Science of the Total Environment, 900, Article ID: 165764.
https://doi.org/10.1016/j.scitotenv.2023.165764
[40]  Deser, C. and Phillips, A. (2017) An Overview of Decadal-Scale Sea Surface Temperature Variability in the Observational Record. Past Global Changes Magazine, 25, 2-6.
[41]  Grote, T. and Suriano, Z. (2024) Temporal and Spatial Patterns of Hydroclimate Variability Related to the Pacific Decadal Oscillation in Michigan, USA. Physical Geography.
https://doi.org/10.1080/02723646.2024.2315642
[42]  Masuda, S. (2002) Role of the Ocean in the Decadal Climate Change in the North Pacific. Journal of Geophysical Research: Oceans, 107, 17-1-17-18.
https://doi.org/10.1029/2002jc001420
[43]  Jiang, Y., Fu, P. and Weng, Q. (2015) Assessing the Impacts of Urbanization-Associated Land Use/Cover Change on Land Surface Temperature and Surface Moisture: A Case Study in the Midwestern United States. Remote Sensing, 7, 4880-4898.
https://doi.org/10.3390/rs70404880
[44]  Zhang, Y., Chiew, F.H.S., Li, M. and Post, D. (2018) Predicting Runoff Signatures Using Regression and Hydrological Modeling Approaches. Water Resources Research, 54, 7859-7878.
https://doi.org/10.1029/2018wr023325
[45]  Cao, Q., Liu, Y., Georgescu, M. and Wu, J. (2020) Impacts of Landscape Changes on Local and Regional Climate: A Systematic Review. Landscape Ecology, 35, 1269-1290.
https://doi.org/10.1007/s10980-020-01015-7
[46]  Mann, M.E., Bradley, R.S. and Hughes, M.K. (1998) Global-Scale Temperature Patterns and Climate Forcing over the Past Six Centuries. Nature, 392, 779-787.
https://doi.org/10.1038/33859
[47]  Locke, K.A. (2024) Impacts of Land Use/Land Cover on Water Quality: A Contemporary Review for Researchers and Policymakers. Water Quality Research Journal, 59, 89-106.
https://doi.org/10.2166/wqrj.2024.002
[48]  Mishra, A.K. and Singh, V.P. (2010) A Review of Drought Concepts. Journal of Hydrology, 391, 202-216.
https://doi.org/10.1016/j.jhydrol.2010.07.012
[49]  Fienen, M.N., Nolan, B.T., Kauffman, L.J. and Feinstein, D.T. (2018) Metamodeling for Groundwater Age Forecasting in the Lake Michigan Basin. Water Resources Research, 54, 4750-4766.
https://doi.org/10.1029/2017wr022387
[50]  Anurag, H. and Ng, G.C. (2022) Assessing Future Climate Change Impacts on Groundwater Recharge in Minnesota. Journal of Hydrology, 612, Article ID: 128112.
https://doi.org/10.1016/j.jhydrol.2022.128112
[51]  Krakauer, N.Y., Lakhankar, T. and Hudson, D. (2019) Trends in Drought over the Northeast United States. Water, 11, Article 1834.
https://doi.org/10.3390/w11091834
[52]  Sivapalan, M., Savenije, H.H.G. and Blöschl, G. (2012) Socio-Hydrology: A New Science of People and Water. Hydrological Processes, 26, 1270-1276.
https://doi.org/10.1002/hyp.8426

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133