volume 171 pages 104359

Emergence of heavy tails in streamflow distributions: the role of spatial rainfall variability

Publication typeJournal Article
Publication date2023-01-01
scimago Q1
wos Q1
SJR1.038
CiteScore7.8
Impact factor4.2
ISSN03091708, 18729657
Water Science and Technology
Abstract
Flow events with low frequency often cause severe damage, especially if their magnitudes are higher than suggested by historical observations. The heavier right tail of streamflow distribution indicates the increasing probability of high flows. In this paper, we investigate the role played by spatially variable rainfall in enhancing the tail heaviness of streamflow distributions. We synthetically generated a wide range of spatially variable rainfall inputs and fed them to a continuous probabilistic model of the catchment water transport to simulate streamflow in five German catchments with distinct properties in size and topography. Meanwhile, we used a comparable approach to analyze rainfall and runoff records from 175 German catchments. We identified the effects of spatially variable rainfall on the tails of streamflow distributions from both simulation scenarios and data analyses. Our results show that the tail of streamflow distribution becomes heavier with increasing spatial rainfall variability only beyond a certain threshold. This finding indicates the capability of catchments to buffer growing heterogeneities of rainfall, which we term catchment resilience to increasing spatial rainfall variability. The analyses suggest that the runoff routing through the river network controls this property. In fact, both small and elongated catchments are less resilient to increasing spatial rainfall variability due to their intrinsic runoff routing characteristics. We show the links between spatial rainfall characteristics and catchment geometry and the possible occurrence of high flows. The data analyses we performed on a large set of case studies confirm the simulation results and provide confidence for the transferability of these findings.
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GOST Copy
Wang H. et al. Emergence of heavy tails in streamflow distributions: the role of spatial rainfall variability // Advances in Water Resources. 2023. Vol. 171. p. 104359.
GOST all authors (up to 50) Copy
Wang H., Merz R., Yang S., Tarasova L., Basso S. M. M. Emergence of heavy tails in streamflow distributions: the role of spatial rainfall variability // Advances in Water Resources. 2023. Vol. 171. p. 104359.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.advwatres.2022.104359
UR - https://doi.org/10.1016/j.advwatres.2022.104359
TI - Emergence of heavy tails in streamflow distributions: the role of spatial rainfall variability
T2 - Advances in Water Resources
AU - Wang, H.-J.
AU - Merz, Ralf
AU - Yang, Soohyun
AU - Tarasova, Larisa
AU - Basso, Stefano M. M.
PY - 2023
DA - 2023/01/01
PB - Elsevier
SP - 104359
VL - 171
SN - 0309-1708
SN - 1872-9657
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Wang,
author = {H.-J. Wang and Ralf Merz and Soohyun Yang and Larisa Tarasova and Stefano M. M. Basso},
title = {Emergence of heavy tails in streamflow distributions: the role of spatial rainfall variability},
journal = {Advances in Water Resources},
year = {2023},
volume = {171},
publisher = {Elsevier},
month = {jan},
url = {https://doi.org/10.1016/j.advwatres.2022.104359},
pages = {104359},
doi = {10.1016/j.advwatres.2022.104359}
}