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Volume 36 Issue 1
Feb 2025
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Xinglong Gong, Shuping Du, Fengyu Li, Yibo Ding. Spatiotemporal Variations in Climatic Factors, Catchment Characteristic Induced Runoff Changes with Multi-Time Scales across the Contiguous United States. Journal of Earth Science, 2025, 36(1): 146-160. doi: 10.1007/s12583-021-1542-8
Citation: Xinglong Gong, Shuping Du, Fengyu Li, Yibo Ding. Spatiotemporal Variations in Climatic Factors, Catchment Characteristic Induced Runoff Changes with Multi-Time Scales across the Contiguous United States. Journal of Earth Science, 2025, 36(1): 146-160. doi: 10.1007/s12583-021-1542-8

Spatiotemporal Variations in Climatic Factors, Catchment Characteristic Induced Runoff Changes with Multi-Time Scales across the Contiguous United States

doi: 10.1007/s12583-021-1542-8
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  • Corresponding author: Shuping Du, shupingdu@126.com; Fengyu Li, lify20@neau.edu.cn
  • Received Date: 07 Jun 2021
  • Accepted Date: 06 Sep 2021
  • Available Online: 10 Feb 2025
  • Issue Publish Date: 28 Feb 2025
  • Previous works were mainly concentrated on long-term average runoff alterations, and extreme temperatures and watershed conditions are little analyzed. In this study, we collected gauged river flow and meteorological data time series from 1916 to 2015 and 1941 to 2015 across the contiguous United States (CONUS) for 188 catchments to investigate the temporal trends and spatial features of runoff changes at multi-time scales. We also analyzed the relationships between runoff changes and climatic factors. Median descriptive statistics and Budyko coupled climate elasticity methods were used to calculate runoff elasticity in each time scale. The original Mann-Kendall trend test was used to test their trend significance in four time-scale (11, 20, 40, and 60 a), respectively. The results show that the trend of runoff changes is more significant in high time scales; total changes are heterogeneous over CONUS. After the 1970s, increases of up to 27% decade-1 were mainly concentrated in the mid-northern regions. Maximum temperature and catchment characteristics are vital factors for runoff alteration; runoff changes are independent of rainfall, and wet regions tend to have lower changes. These findings could help develop better regional water resource planning and management.

     

  • Electronic Supplementary Material: Supplementary material (Appendix) is available in the online version of this article at https://doi.org/10.1007/s12583-021-1542-8.
    Conflict of Interest
    The authors declare that they have no conflict of interest.
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  • Allen, R. G., 1995. Evaluation of Procedures for Estimating Grass Reference Evapotranspiration Using Air Temperature Data Only. Report Submitted to Water Resources Development and Management Service, Land and Water Development Division, United Nations Food and Agriculture Service, Rome, Italy
    Almorox, J., Quej, V. H., Martí, P., 2015. Global Performance Ranking of Temperature-Based Approaches for Evapotranspiration Estimation Considering Köppen Climate Classes. Journal of Hydrology, 528: 514–522. https://doi.org/10.1016/j.jhydrol.2015.06.057
    Arora, V. K., 2002. The Use of the Aridity Index to Assess Climate Change Effect on Annual Runoff. Journal of Hydrology, 265(1/2/3/4): 164–177. https://doi.org/10.1016/S0022-1694(02)00101-4
    Bartels, R. J., Black, A. W., Keim, B. D., 2020. Trends in Precipitation Days in the United States. International Journal of Climatology, 40(2): 1038–1048. https://doi.org/10.1002/joc.6254
    Berghuijs, W. R., Woods, R. A., Hrachowitz, M., 2014. A Precipitation Shift from Snow towards Rain Leads to a Decrease in Streamflow. Nature Climate Change, 4(7): 583–586. https://doi.org/10.1038/nclimate2246
    Brown, A. E., Zhang, L., McMahon, T. A., et al., 2005. A Review of Paired Catchment Studies for Determining Changes in Water Yield Resulting from Alterations in Vegetation. Journal of Hydrology, 310(1/2/3/4): 28–61. https://doi.org/10.1016/j.jhydrol.2004.12.010
    Budyko, M. I., 1974. Climate and Life. Academic Press, New York
    Carmona, A. M., Sivapalan, M., Yaeger, M. A., et al., 2014. Regional Patterns of Interannual Variability of Catchment Water Balances across the Continental U. S.: A Budyko Framework. Water Resources Research, 50(12): 9177–9193. https://doi.org/10.1002/2014wr016013
    Chang, J. X., Wang, Y. M., Istanbulluoglu, E., et al., 2015. Impact of Climate Change and Human Activities on Runoff in the Weihe River Basin, China. Quaternary International, 380/381: 169–179. https://doi.org/10.1016/j.quaint.2014.03.048
    Dey, P., Mishra, A., 2017. Separating the Impacts of Climate Change and Human Activities on Streamflow: A Review of Methodologies and Critical Assumptions. Journal of Hydrology, 548: 278–290. https://doi.org/10.1016/j.jhydrol.2017.03.014
    Donohue, R. J., Roderick, M. L., McVicar, T. R., 2011. Assessing the Differences in Sensitivities of Runoff to Changes in Climatic Conditions across a Large Basin. Journal of Hydrology, 406(3/4): 234–244. https://doi.org/10.1016/j.jhydrol.2011.07.003
    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
    Falcone, J. A., Carlisle, D. M., Weber, L. C., 2010. Quantifying Human Disturbance in Watersheds: Variable Selection and Performance of a GIS-Based Disturbance Index for Predicting the Biological Condition of Perennial Streams. Ecological Indicators, 10(2): 264–273. https://doi.org/10.1016/j.ecolind.2009.05.005
    Fu, B. P., 1981. On the Calculation of the Evaporation from Land Surface. Scientia Atmospherica Sinica, 5(1): 23–31 (in Chinese with English Abstract)
    Fu, G. B., Charles, S. P., Chiew, F. H. S., 2007. A Two-Parameter Climate Elasticity of Streamflow Index to Assess Climate Change Effects on Annual Streamflow. Water Resources Research, 43(11): W11419. https://doi.org/10.1029/2007wr005890
    Gudmundsson, L., Leonard, M., Do, H. X., et al., 2019. Observed Trends in Global Indicators of Mean and Extreme Streamflow. Geophysical Research Letters, 46(2): 756–766. https://doi.org/10.1029/2018gl079725
    Hamed, K. H., 2008. Trend Detection in Hydrologic Data: The Mann-Kendall Trend Test under the Scaling Hypothesis. Journal of Hydrology, 349(3/4): 350–363. https://doi.org/10.1016/j.jhydrol.2007.11.009
    Hamed, K. H., Ramachandra Rao, A., 1998. A Modified Mann-Kendall Trend Test for Autocorrelated Data. Journal of Hydrology, 204(1/2/3/4): 182–196. https://doi.org/10.1016/S0022-1694(97)00125-X
    Hargreaves, G. L., Hargreaves, G. H., Riley, J. P., 1985. Irrigation Water Requirements for Senegal River Basin. Journal of Irrigation and Drainage Engineering, 111(3): 265–275. https://doi.org/10.1061/(asce)0733-9437(1985)111:3(265)
    Hodgkins, G. A., Dudley, R. W., 2011. Historical Summer Base Flow and Stormflow Trends for New England Rivers. Water Resources Research, 47(7): 2010WR009109. https://doi.org/10.1029/2010wr009109
    Hodgkins, G. A., Dudley, R. W., Archfield, S. A., et al., 2019. Effects of Climate, Regulation, and Urbanization on Historical Flood Trends in the United States. Journal of Hydrology, 573: 697–709. https://doi.org/10.1016/j.jhydrol.2019.03.102
    Hu, S. S., Liu, C. M., Zheng, H. X., et al., 2012. Assessing the Impacts of Climate Variability and Human Activities on Streamflow in the Water Source Area of Baiyangdian Lake. Journal of Geographical Sciences, 22(5): 895–905. https://doi.org/10.1007/s11442-012-0971-9
    Huang, H. P., Winter, J. M., Osterberg, E. C., et al., 2017. Total and Extreme Precipitation Changes over the Northeastern United States. Journal of Hydrometeorology, 18(6): 1783–1798. https://doi.org/10.1175/jhm-d-16-0195.1
    Huntington, T. G., 2006. Evidence for Intensification of the Global Water Cycle: Review and Synthesis. Journal of Hydrology, 319(1/2/3/4): 83–95. https://doi.org/10.1016/j.jhydrol.2005.07.003
    Jehanzaib, M., Ali Shah, S., Yoo, J., et al., 2020. Investigating the Impacts of Climate Change and Human Activities on Hydrological Drought Using Non-Stationary Approaches. Journal of Hydrology, 588: 125052. https://doi.org/10.1016/j.jhydrol.2020.125052
    Jiang, S. H., Ren, L. L., Yong, B., et al., 2011. Quantifying the Effects of Climate Variability and Human Activities on Runoff from the Laohahe Basin in Northern China Using Three Different Methods. Hydrological Processes, 25(16): 2492–2505. https://doi.org/10.1002/hyp.8002
    Khaliq, M. N., Ouarda, T. B. M. J., Gachon, P., 2009. Identification of Temporal Trends in Annual and Seasonal Low Flows Occurring in Canadian Rivers: The Effect of Short- and Long-Term Persistence. Journal of Hydrology, 369(1/2): 183–197. https://doi.org/10.1016/j.jhydrol.2009.02.045
    Kumar, S., Merwade, V., Kam, J., et al., 2009. Streamflow Trends in Indiana: Effects of Long Term Persistence, Precipitation and Subsurface Drains. Journal of Hydrology, 374(1/2): 171–183. https://doi.org/10.1016/j.jhydrol.2009.06.012
    Kundzewicz, Z. W., Mata, L. J., Arnell, N. W., et al., 2008. The Implications of Projected Climate Change for Freshwater Resources and Their Management. Hydrological Sciences Journal, 53(1): 3–10. https://doi.org/10.1623/hysj.53.1.3
    Li, Q., Wei, X. H., Zhang, M. F., et al., 2018. The Cumulative Effects of Forest Disturbance and Climate Variability on Streamflow Components in a Large Forest-Dominated Watershed. Journal of Hydrology, 557: 448–459. https://doi.org/10.1016/j.jhydrol.2017.12.056
    Lins, H. F., Slack, J. R., 2005. Seasonal and Regional Characteristics of U. S. Streamflow Trends in the United States from 1940 to 1999. Physical Geography, 26(6): 489–501. https://doi.org/10.2747/0272-3646.26.6.489
    Liu, J. J., Zhou, Z. H., Yan, Z. Q., et al., 2019. A New Approach to Separating the Impacts of Climate Change and Multiple Human Activities on Water Cycle Processes Based on a Distributed Hydrological Model. Journal of Hydrology, 578: 124096. https://doi.org/10.1016/j.jhydrol.2019.124096
    Liu, J. Y., Zhang, Q., Singh, V. P., et al., 2017. Contribution of Multiple Climatic Variables and Human Activities to Streamflow Changes across China. Journal of Hydrology, 545: 145–162. https://doi.org/10.1016/j.jhydrol.2016.12.016
    Mann, H. B., 1945. Nonparametric Tests Against Trend. Econometrica, 13(3): 245. https://doi.org/10.2307/1907187
    Markonis, Y., Moustakis, Y., Nasika, C., et al., 2018. Global Estimation of Long-Term Persistence in Annual River Runoff. Advances in Water Resources, 113: 1–12. https://doi.org/10.1016/j.advwatres.2018.01.003
    McCabe, G. J., Wolock, D. M., 2014. Spatial and Temporal Patterns in Conterminous United States Streamflow Characteristics. Geophysical Research Letters, 41(19): 6889–6897. https://doi.org/10.1002/2014gl061980
    Menne, M. J., Durre, I., Vose, R., et al., 2012. An Overview of the Global Historical Climatology Network-Daily Database. Journal of Atmospheric and Oceanic Technology, 29(7): 897–910. https://doi.org/10.1175/JTECH-D-11-00103.1
    Moratiel, R., Bravo, R., Saa, A., et al., 2020. Estimation of Evapotranspiration by the Food and Agricultural Organization of the United Nations (FAO) Penman-Monteith Temperature (PMT) and Hargreaves-Samani (HS) Models under Temporal and Spatial Criteria: A Case Study in Duero Basin (Spain). Natural Hazards and Earth System Sciences, 20: 859–875. https://doi.org/10.5194/nhess-20-859-2020
    Mostowik, K., Siwek, J., Kisiel, M., et al., 2019. Runoff Trends in a Changing Climate in the Eastern Carpathians (Bieszczady Mountains, Poland). Catena, 182: 104174. https://doi.org/10.1016/j.catena.2019.104174
    Nalley, D., Adamowski, J., Biswas, A., et al., 2019. A Multiscale and Multivariate Analysis of Precipitation and Streamflow Variability in Relation to ENSO, NAO and PDO. Journal of Hydrology, 574: 288–307. https://doi.org/10.1016/j.jhydrol.2019.04.024
    Patterson, L. A., Lutz, B., Doyle, M. W., 2013. Climate and Direct Human Contributions to Changes in Mean Annual Streamflow in the South Atlantic, USA. Water Resources Research, 49(11): 7278–7291. https://doi.org/10.1002/2013wr014618
    Pike, J. G., 1964. The Estimation of Annual Run-off from Meteorological Data in a Tropical Climate. Journal of Hydrology, 2(2): 116–123. https://doi.org/10.1016/0022-1694(64)90022-8
    Porporato, A., Daly, E., Rodriguez-Iturbe, I., 2004. Soil Water Balance and Ecosystem Response to Climate Change. The American Naturalist, 164(5): 625–632. https://doi.org/10.1086/424970
    Rice, J. S., Emanuel, R. E., Vose, J. M., et al., 2015. Continental U. S. Streamflow Trends from 1940 to 2009 and Their Relationships with Watershed Spatial Characteristics. Water Resources Research, 51(8): 6262–6275. https://doi.org/10.1002/2014wr016367
    Roderick, M. L., Farquhar, G. D., 2011. A Simple Framework for Relating Variations in Runoff to Variations in Climatic Conditions and Catchment Properties. Water Resources Research, 47(12): W00G07. https://doi.org/10.1029/2010wr009826
    Sagarika, S., Kalra, A., Ahmad, S., 2014. Evaluating the Effect of Persistence on Long-Term Trends and Analyzing Step Changes in Streamflows of the Continental United States. Journal of Hydrology, 517: 36–53. https://doi.org/10.1016/j.jhydrol.2014.05.002
    Sang, Y. F., Sivakumar, B., Zhang, Y. C., 2020. Is there an Underestimation of Long-Term Variability of Streamflow across the Continental United States? Journal of Hydrology, 581: 124365. https://doi.org/10.1016/j.jhydrol.2019.124365
    Sankarasubramanian, A., Vogel, R. M., Limbrunner, J. F., 2001. Climate Elasticity of Streamflow in the United States. Water Resources Research, 37(6): 1771–1781. https://doi.org/10.1029/2000wr900330
    Senatore, A., Parrello, C., Almorox, J., et al., 2020. Exploring the Potential of Temperature-Based Methods for Regionalization of Daily Reference Evapotranspiration in Two Spanish Regions. Journal of Irrigation and Drainage Engineering, 146(3): 1–13. https://doi.org/10.1061/(asce)ir.1943-4774.0001447
    Shao, Q. X., Traylen, A., Zhang, L., 2012. Nonparametric Method for Estimating the Effects of Climatic and Catchment Characteristics on Mean Annual Evapotranspiration. Water Resources Research, 48(3): W03517. https://doi.org/10.1029/2010wr009610
    Shirmohammadi-Aliakbarkhani, Z., Saberali, S. F., 2020. Evaluating of Eight Evapotranspiration Estimation Methods in Arid Regions of Iran. Agricultural Water Management, 239: 106243. https://doi.org/10.1016/j.agwat.2020.106243
    Sivapalan, M., Yaeger, M. A., Harman, C. J., et al., 2011. Functional Model of Water Balance Variability at the Catchment Scale: 1. Evidence of Hydrologic Similarity and Space-Time Symmetry. Water Resources Research, 47(2): W02522. https://doi.org/10.1029/2010wr009568
    Sun, Y., Tian, F. Q., Yang, L., et al., 2014. Exploring the Spatial Variability of Contributions from Climate Variation and Change in Catchment Properties to Streamflow Decrease in a Mesoscale Basin by Three Different Methods. Journal of Hydrology, 508: 170–180. https://doi.org/10.1016/j.jhydrol.2013.11.004
    Todorovic, M., Karic, B., Pereira, L. S., 2013. Reference Evapotranspiration Estimate with Limited Weather Data across a Range of Mediterranean Climates. Journal of Hydrology, 481: 166–176. https://doi.org/10.1016/j.jhydrol.2012.12.034
    Tomer, M. D., Schilling, K. E., 2009. A Simple Approach to Distinguish Land-Use and Climate-Change Effects on Watershed Hydrology. Journal of Hydrology, 376(1/2): 24–33. https://doi.org/10.1016/j.jhydrol.2009.07.029
    Turc, L., 1953. Le Bilan D'Eau Des Sols: Relation Entre Les Precipitations, L'Evaporation er L'Ecoulement. Ann. Agron., 5: 491–569
    Veettil, B. K., Kamp, U., 2021. Glacial Lakes in the Andes under a Changing Climate: A Review. Journal of Earth Science, 32(6): 1575–1593. https://doi.org/10.1007/s12583-020-1118-z
    Wang, D. B., Hejazi, M., 2011. Quantifying the Relative Contribution of the Climate and Direct Human Impacts on Mean Annual Streamflow in the Contiguous United States. Water Resources Research, 47(10): W00J12. https://doi.org/10.1029/2010wr010283
    Wang, D. D., Yu, X. X., Jia, G. D., et al., 2019. Sensitivity Analysis of Runoff to Climate Variability and Land-Use Changes in the Haihe Basin Mountainous Area of North China. Agriculture, Ecosystems & Environment, 269: 193–203. https://doi.org/10.1016/j.agee.2018.09.025
    Wang, H., He, K. N., 2017. Sensitivity Analysis of the Effects of Climate Change on Streamflow Using Climate Elasticity in the Luan River Basin, China. Polish Journal of Environmental Studies, 26(2): 837–845. https://doi.org/10.15244/pjoes/66715
    Wang, T. H., Yang, H. B., Yang, D. W., et al., 2018. Quantifying the Streamflow Response to Frozen Ground Degradation in the Source Region of the Yellow River within the Budyko Framework. Journal of Hydrology, 558: 301–313. https://doi.org/10.1016/j.jhydrol.2018.01.050
    Wang, W. G., Zou, S., Shao, Q. X., et al., 2016. The Analytical Derivation of Multiple Elasticities of Runoff to Climate Change and Catchment Characteristics Alteration. Journal of Hydrology, 541: 1042–1056. https://doi.org/10.1016/j.jhydrol.2016.08.014
    Xu, X. Y., Yang, D. W., Yang, H. B., et al., 2014. Attribution Analysis Based on the Budyko Hypothesis for Detecting the Dominant Cause of Runoff Decline in Haihe Basin. Journal of Hydrology, 510: 530–540. https://doi.org/10.1016/j.jhydrol.2013.12.052
    Yang, H. B., Yang, D. W., 2011. Derivation of Climate Elasticity of Runoff to Assess the Effects of Climate Change on Annual Runoff. Water Resources Research, 47(7): W07526. https://doi.org/10.1029/2010wr009287
    Yang, H. B., Yang, D. W., Hu, Q. F., 2014. An Error Analysis of the Budyko Hypothesis for Assessing the Contribution of Climate Change to Runoff. Water Resources Research, 50(12): 9620–9629. https://doi.org/10.1002/2014wr015451
    Yang, H. B., Yang, D. W., Lei, Z. D., et al., 2008. New Analytical Derivation of the Mean Annual Water-Energy Balance Equation. Water Resources Research, 44(3): W03410. https://doi.org/10.1029/2007wr006135
    Yue, S., Pilon, P., Phinney, B., et al., 2002. The Influence of Autocorrelation on the Ability to Detect Trend in Hydrological Series. Hydrological Processes, 16(9): 1807–1829. https://doi.org/10.1002/hyp.1095
    Zhang, L., Dawes, W. R., Walker, G. R., 2001. Response of Mean Annual Evapotranspiration to Vegetation Changes at Catchment Scale. Water Resources Research, 37(3): 701–708. https://doi.org/10.1029/2000wr900325
    Zhang, Y., Wang, J. C., Jing, J. H., et al., 2014. Response of Groundwater to Climate Change under Extreme Climate Conditions in North China Plain. Journal of Earth Science, 25(3): 612–618. https://doi.org/10.1007/s12583-014-0443-5
    Zhao, F. F., Zhang, L., Xu, Z. X., et al., 2010. Evaluation of Methods for Estimating the Effects of Vegetation Change and Climate Variability on Streamflow. Water Resources Research, 46(3): W03505. https://doi.org/10.1029/2009wr007702
    Zheng, H. X., Zhang, L., Zhu, R. R., et al., 2009. Responses of Streamflow to Climate and Land Surface Change in the Headwaters of the Yellow River Basin. Water Resources Research, 45(7): W00A19. https://doi.org/10.1029/2007wr006665
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