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Volume 37 Issue 4
Aug 2026
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Xinglong Gong, Aiqi Xu, Shuping Du, Yuan Xu. Exploring the Spatial Distribution and Drivers of Low Flows in the Basins of the United States. Journal of Earth Science, 2026, 37(4): 1802-1814. doi: 10.1007/s12583-023-1919-9
Citation: Xinglong Gong, Aiqi Xu, Shuping Du, Yuan Xu. Exploring the Spatial Distribution and Drivers of Low Flows in the Basins of the United States. Journal of Earth Science, 2026, 37(4): 1802-1814. doi: 10.1007/s12583-023-1919-9

Exploring the Spatial Distribution and Drivers of Low Flows in the Basins of the United States

doi: 10.1007/s12583-023-1919-9
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  • Corresponding author: Aiqi Xu, 1337924620@qq.com
  • Received Date: 04 Apr 2023
  • Accepted Date: 04 Aug 2023
  • Issue Publish Date: 30 Aug 2026
  • In recent years, with the change of temperature and the intensification of human activities, the quantitative and spatial patterns of low flows in basins have changed significantly, and the problem of low flows selection has emerged. To address this situation, this study selected 910 basins within the United States that reflect a wide range of climatic characteristics and human activities to assess the spatial patterns of regional low flows. The drivers of environmental change were identified from 40 basin attribute characteristics using various methods such as random forest. The spatial smoothness of low flows was also analyzed using the Moran's Index. We found that the spatial low flow magnitude in the United States is characterized by a gradual decrease and then increase from east to west, similar to the precipitation distribution. Basin area and irrigated area were the main drivers of low flows, and the effects were positive. And it was found that low flow indicators with lower spatial smoothness were more difficult to associate with basin characteristics and to predict and select drivers using random forest models. Our study provides a new perspective to explore the impact of factors such as environmental change on low flow variability.

     

  • Conflict of Interest
    The authors declare that they have no conflict of interest.
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  • Addor, N., Nearing, G., Prieto, C., et al., 2018. A Ranking of Hydrological Signatures Based on Their Predictability in Space. Water Resources Research, 54(11): 8792–8812. https://doi.org/10.1029/2018wr022606
    Addor, N., Newman, A. J., Mizukami, N., et al., 2017. The CAMELS Data Set: Catchment Attributes and Meteorology for Large-Sample Studies. Hydrology and Earth System Sciences, 21(10): 5293–5313. https://doi.org/10.5194/hess-21-5293-2017
    Bent, G. C., Steeves, P. A., 2006. A Revised Logistic Regression Equation and an Automated Procedure for Mapping the Probability of a Stream Flowing Perennially in Massachusetts: U. S. Geological Survey Scientific Investigations Report 2006-5031. vi: 107. https://doi.org/10.3133/sir20065031
    Booker, D. J., Woods, R. A., 2014. Comparing and Combining Physically-Based and Empirically-Based Approaches for Estimating the Hydrology of Ungauged Catchments. Journal of Hydrology, 508: 227–239. https://doi.org/10.1016/j.jhydrol.2013.11.007
    Bormann, H., Pinter, N., 2017. Trends in Low Flows of German Rivers since 1950: Comparability of Different Low-Flow Indicators and Their Spatial Patterns. River Research and Applications, 33(7): 1191–1204. https://doi.org/10.1002/rra.3152
    Bradford, M. J., Heinonen, J. S., 2008. Low Flows, Instream Flow Needs and Fish Ecology in Small Streams. Canadian Water Resources Journal, 33(2): 165–180. https://doi.org/10.4296/cwrj3302165
    Burn, D. H., Buttle, J. M., Caissie, D., et al., 2008. The Processes, Patterns and Impacts of Low Flows across Canada. Revue Canadienne des Ressources Hydriques, 33(2): 107–124. https://doi.org/10.4296/cwrj3302107
    Carlisle, D. M., Falcone, J., Wolock, D. M., et al., 2010. Predicting the Natural Flow Regime: Models for Assessing Hydrological Alteration in Streams. River Research and Applications, 26(2): 118–136. https://doi.org/10.1002/rra.1247
    Chauveau, M., Chazot, S., Perrin, C., et al., 2013. What will be the Impacts of Climate Change on Surface Hydrology in France by 2070? La Houille Blanche, 99(4): 5–15. https://doi.org/10.1051/lhb/2013027 (in French with English Abstract)
    Chouaib, W., Caissie, D., 2021. Regional Disparities in Water Availability and Low Flow Conditions in Rivers across Canada. Journal of Hydrology, 598: 126195. https://doi.org/10.1016/j.jhydrol.2021.126195
    Clausen, B., Biggs, B. J. F., 2000. Flow Variables for Ecological Studies in Temperate Streams: Groupings Based on Covariance. Journal of Hydrology, 237(3/4): 184–197. https://doi.org/10.1016/S0022-1694(00)00306-1
    Coch, A., Mediero, L., 2016. Trends in Low Flows in Spain in the Period 1949–2009. Hydrological Sciences Journal, 61(3): 568–584. https://doi.org/10.1080/02626667.2015.1081202
    Curran, C. A., Eng, K., Konrad, C. P., 2012. Analysis of Low Flows and Selected Methods for Estimating Low-Flow Characteristics at Partial-Record and Ungaged Stream Sites in Western Washington. U. S. Geological Survey, 6: 36. https://doi.org/10.3133/sir20125078
    de Graaf, I. E. M., van Beek, L. P. H., Wada, Y., et al., 2014. Dynamic Attribution of Global Water Demand to Surface Water and Groundwater Resources: Effects of Abstractions and Return Flows on River Discharges. Advances in Water Resources, 64: 21–33. https://doi.org/10.1016/j.advwatres.2013.12.002
    Dierauer, J. R., Whitfield, P. H., Allen, D. M., 2018. Climate Controls on Runoff and Low Flows in Mountain Catchments of Western North America. Water Resources Research, 54(10): 7495–7510. https://doi.org/10.1029/2018wr023087
    Döll, P., 2002. Impact of Climate Change and Variability on Irrigation Requirements: A Global Perspective. Climatic Change, 54(3): 269–293. https://doi.org/10.1023/a:1016124032231
    Douglas, E. M., Vogel, R. M., Kroll, C. N., 2000. Trends in Floods and Low Flows in the United States: Impact of Spatial Correlation. Journal of Hydrology, 240(1/2): 90–105. https://doi.org/10.1016/S0022-1694(00)00336-X
    Dudley, R. W., Hirsch, R. M., Archfield, S. A., et al., 2020. Low Streamflow Trends at Human-Impacted and Reference Basins in the United States. Journal of Hydrology, 580: 124254. https://doi.org/10.1016/j.jhydrol.2019.124254
    Eng, K., Milly, P. C. D., 2007. Relating Low-Flow Characteristics to the Base Flow Recession Time Constant at Partial Record Stream Gauges. Water Resources Research, 43(1): W01201. https://doi.org/10.1029/2006wr005293
    Falcone, J. A., 2011. GAGES-Ⅱ: Geospatial Attributes of Gages for Evaluating Streamflow: U. S. Geological Survey, Dataset. https://doi.org/10.3133/70046617
    Feyen, L., Dankers, R., 2009. Impact of Global Warming on Streamflow Drought in Europe. Journal of Geophysical Research: Atmospheres, 114(D17): D17116. https://doi.org/10.1029/2008jd011438
    Ficklin, D. L., Robeson, S. M., Knouft, J. H., 2016. Impacts of Recent Climate Change on Trends in Baseflow and Stormflow in United States Watersheds. Geophysical Research Letters, 43(10): 5079–5088. https://doi.org/10.1002/2016gl069121
    Fleming, B. J., Archfield, S. A., Hirsch, R. M., et al., 2021. Spatial and Temporal Patterns of Low Streamflow and Precipitation Changes in the Chesapeake Bay Watershed. Journal of the American Water Resources Association, 57(1): 96–108. https://doi.org/10.1111/1752-1688.12892
    Hamilton, D. A., Sorrell, R. C., Holtschlag, D. J., 2008. A Regression Model for Computing Index Flows Describing the Median Flow for the Summer Month of Lowest Flow in Michigan: U. S. Geological Survey Scientific Investigations Report 2008-5096. Vii: 43. https://doi.org/10.3133/sir20085096
    Hammond, J. C., Fleming, B. J., 2021. Evaluating Low Flow Patterns, Drivers and Trends in the Delaware River Basin. Journal of Hydrology, 598: 126246. https://doi.org/10.1016/j.jhydrol.2021.126246
    Hayhoe, K., Wake, C. P., Huntington, T. G., et al., 2007. Past and Future Changes in Climate and Hydrological Indicators in the US Northeast. Climate Dynamics, 28(4): 381–407. https://doi.org/10.1007/s00382-006-0187-8
    Hengl, T., Mendes de Jesus, J., Heuvelink, G. B. M., et al., 2017. SoilGrids250m: Global Gridded Soil Information Based on Machine Learning. PLoS One, 12(2): e0169748. https://doi.org/10.1371/journal.pone.0169748
    Herron, N., Croke, B., 2009. Including the Influence of Groundwater Exchanges in a Lumped Rainfall-Runoff Model. Mathematics and Computers in Simulation, 79(9): 2689–2700. https://doi.org/10.1016/j.matcom.2008.08.007
    Hortness, J. E., 2006. Estimating Low-Flow Frequency Statistics for Unregulated Streams in Idaho U. S. Geological Survey Scientific Investigations Report 2006-5035. 40. https://doi.org/10.3133/sir20065035
    Hutchinson, P. D., 1993. Calculation of A Base Flow Index for New Zealand Catchments. Ministry of Works and Development, Christchurch, 568: 646–657
    Kam, J., Sheffield, J., 2016. Changes in the Low Flow Regime over the Eastern United States (1962–2011): Variability, Trends, and Attributions. Climatic Change, 135(3/4): 639–653. https://doi.org/10.1007/s10584-015-1574-0
    Kauffman, G. J., Vonck, K. J., 2011. Frequency and Intensity of Extreme Drought in the Delaware Basin, 1600–2002. Water Resources Research, 47(5): W05521. https://doi.org/10.1029/2009wr008821
    Konapala, G., Mishra, A., 2020. Quantifying Climate and Catchment Control on Hydrological Drought in the Continental United States. Water Resources Research, 56: e2018WR024620. https://doi.org/10.1029/2018wr024620
    Konrad, C. P., Brasher, A. M. D., May, J. T., 2008. Assessing Streamflow Characteristics as Limiting Factors on Benthic Invertebrate Assemblages in Streams across the Western United States. Freshwater Biology, 53(10): 1983–1998. https://doi.org/10.1111/j.1365-2427.2008.02024.x
    Krakauer, N. Y., Fung, I., 2008. Mapping and Attribution of Change in Streamflow in the Coterminous United States. Hydrology and Earth System Sciences, 12(4): 1111–1120. https://doi.org/10.5194/hess-12-1111-2008
    L'vovich, M. I., 1973. The Water Balance of the World's Continents and a Balance Estimate of the World's Freshwater Resources. Soviet Geography, 14(3): 135–152. https://doi.org/10.1080/00385417.1973.10770573
    Laaha, G., Blöschl, G., 2006. A Comparison of Low Flow Regionalisation Methods—Catchment Grouping. Journal of Hydrology, 323(1/2/3/4): 193–214. https://doi.org/10.1016/j.jhydrol.2005.09.001
    Le Moine, N., Andréassian, V., Perrin, C., et al., 2007. How Can Rainfall-Runoff Models Handle Intercatchment Groundwater Flows? Theoretical Study Based on 1040 French Catchments. Water Resources Research, 43(6): 2006WR005608. https://doi.org/10.1029/2006wr005608
    Magilligan, F. J., Nislow, K. H., 2005. Changes in Hydrologic Regime by Dams. Geomorphology, 71(1/2): 61–78. https://doi.org/10.1016/j.geomorph.2004.08.017
    Maloney, K. O., Talbert, C. B., Cole, J. C., et al., 2015. An Integrated Riverine Environmental Flow Decision Support System (REFDSS) to Evaluate the Ecological Effects of Alternative Flow Scenarios on River Ecosystems. Fundamental and Applied Limnology, 186(1/2): 171–192. https://doi.org/10.1127/fal/2015/0611
    Moran, P. A. P., 1950. Notes on Continuous Stochastic Phenomena. Biometrika, 37(1/2): 17–23. https://doi.org/10.1093/biomet/37.1-2.17
    Neubauer, C. P., Hall, G. B., Lowe, E. F., et al., 2008. Minimum Flows and Levels Method of the St. Johns River Water Management District, Florida, USA. Environmental Management, 42(6): 1101–1114. https://doi.org/10.1007/s00267-008-9199-y
    Ouyang, Y., 2012. A Potential Approach for Low Flow Selection in Water Resource Supply and Management. Journal of Hydrology, 454: 56–63. https://doi.org/10.1016/j.jhydrol.2012.05.062
    Parajka, J., Blaschke, A. P., Blöschl, G., et al., 2016. Uncertainty Contributions to Low-Flow Projections in Austria. Hydrology and Earth System Sciences, 20(5): 2085–2101. https://doi.org/10.5194/hess-20-2085-2016
    Pendergrass, A. G., Meehl, G. A., Pulwarty, R., et al., 2020. Flash Droughts Present a New Challenge for Subseasonal-to-Seasonal Prediction. Nature Climate Change, 10(3): 191–199. https://doi.org/10.1038/s41558-020-0709-0
    Price, K., Jackson, C. R., Parker, A. J., et al., 2011. Effects of Watershed Land Use and Geomorphology on Stream Low Flows during Severe Drought Conditions in the Southern Blue Ridge Mountains, Georgia and North Carolina, United States. Water Resources Research, 47(2): W02516. https://doi.org/10.1029/2010wr009340
    Prudhomme, C., Davies, H., 2009. Assessing Uncertainties in Climate Change Impact Analyses on the River Flow Regimes in the UK. Part 1: Baseline Climate. Climatic Change, 93(1/2): 177–195. https://doi.org/10.1007/s10584-008-9464-3
    Prudhomme, C., Giuntoli, I., Robinson, E. L., et al., 2014. Hydrological Droughts in the 21st Century, Hotspots and Uncertainties from a Global Multimodel Ensemble Experiment. Proceedings of the National Academy of Sciences of the United States of America, 111(9): 3262–3267. https://doi.org/10.1073/pnas.1222473110
    Pushpalatha, R., Perrin, C., Le Moine, N., et al., 2011. A Downward Structural Sensitivity Analysis of Hydrological Models to Improve Low-Flow Simulation. Journal of Hydrology, 411(1/2): 66–76. https://doi.org/10.1016/j.jhydrol.2011.09.034
    Sadri, S., Kam, J., Sheffield, J., 2016. Nonstationarity of Low Flows and Their Timing in the Eastern United States. Hydrology and Earth System Sciences, 20(2): 633–649. https://doi.org/10.5194/hess-20-633-2016
    Santhi, C., Allen, P. M., Muttiah, R. S., et al., 2008. Regional Estimation of Base Flow for the Conterminous United States by Hydrologic Landscape Regions. Journal of Hydrology, 351(1/2): 139–153. https://doi.org/10.1016/j.jhydrol.2007.12.018
    Sapač, K., Rusjan, S., Šraj, M., 2020. Assessment of Consistency of Low-Flow Indices of a Hydrogeologically Non-Homogeneous Catchment: A Case Study of the Ljubljanica River Catchment, Slovenia. Journal of Hydrology, 583: 124621. https://doi.org/10.1016/j.jhydrol.2020.124621
    Sawicz, K., Wagener, T., Sivapalan, M., et al., 2011. Catchment Classification: Empirical Analysis of Hydrologic Similarity Based on Catchment Function in the Eastern USA. Hydrology and Earth System Sciences, 15(9): 2895–2911. https://doi.org/10.5194/hess-15-2895-2011
    Shuster, W. D., Bonta, J., Thurston, H., et al., 2005. Impacts of Impervious Surface on Watershed Hydrology: A Review. Urban Water Journal, 2(4): 263–275. https://doi.org/10.1080/15730620500386529
    Smakhtin, V. U., 2001. Low Flow Hydrology: A Review. Journal of Hydrology, 240(3/4): 147–186. https://doi.org/10.1016/S0022-1694(00)00340-1
    Snelder, T. H., Lamouroux, N., Leathwick, J. R., et al., 2009. Predictive Mapping of the Natural Flow Regimes of France. Journal of Hydrology, 373(1/2): 57–67. https://doi.org/10.1016/j.jhydrol.2009.04.011
    Stahl, K., Hisdal, H., Hannaford, J., et al., 2010. Streamflow Trends in Europe: Evidence from a Dataset of Near-Natural Catchments. Hydrology and Earth System Sciences, 14(12): 2367–2382. https://doi.org/10.5194/hess-14-2367-2010
    Sun, G., McNulty, S. G., Moore Myers, J. A., et al., 2008. Impacts of Multiple Stresses on Water Demand and Supply across the Southeastern United States1. JAWRA Journal of the American Water Resources Association, 44(6): 1441–1457. https://doi.org/10.1111/j.1752-1688.2008.00250.x
    Svensson, C., Kundzewicz, W. Z., Maurer, T., 2005. Trend Detection in River Flow Series: 2. Flood and Low-Flow Index Series. Hydrological Sciences Journal, 50(5): 811–824. https://doi.org/10.1623/hysj.2005.50.5.811
    Tijdeman, E., Barker, L. J., Svoboda, M. D., et al., 2018. Natural and Human Influences on the Link between Meteorological and Hydrological Drought Indices for a Large Set of Catchments in the Contiguous United States. Water Resources Research, 54(9): 6005–6023. https://doi.org/10.1029/2017wr022412
    Trenberth, K. E., Dai, A. G., van der Schrier, G., et al., 2014. Global Warming and Changes in Drought. Nature Climate Change, 4(1): 17–22. https://doi.org/10.1038/nclimate2067
    Wanders, N., Wada, Y., 2015. Human and Climate Impacts on the 21st Century Hydrological Drought. Journal of Hydrology, 526: 208–220. https://doi.org/10.1016/j.jhydrol.2014.10.047
    Williamson, T. N., Nystrom, E. A., Milly, P. C. D., 2016. Sensitivity of the Projected Hydroclimatic Environment of the Delaware River Basin to Formulation of Potential Evapotranspiration. Climatic Change, 139(2): 215–228. https://doi.org/10.1007/s10584-016-1782-2
    Wolock, D. M., 2003. Base-Flow Index Grid for the Conterminous United States: U. S. Geological Survey Open-File Report 2003-263, Digital Data Set. https://doi.org/10.3133/ofr03263
    Zaman, S. M., Jha, M. K., 2014. Seasonal and Annual Precipitation Time Series Trend Analysis in North Carolina, United States. Atmospheric Research, 137: 183–194. https://doi.org/10.1016/j.atmosres.2013.10.012
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