A - Papers appearing in refereed journals
Li, H., Shi, C, Sun, P, Zhang, Y. and Collins, A. L. 2021. Attribution of runoff changes in the main tributaries of the middle Yellow River, China, based on the Budyko model with a time-varying parameter. Catena. 206 (105557). https://doi.org/10.1016/j.catena.2021.105557
Authors | Li, H., Shi, C, Sun, P, Zhang, Y. and Collins, A. L. |
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Abstract | Discerning the controlling factors of spatial and temporal changes in runoff is critical for water resources management. This study investigated runoff changes and related them to climate change and human activities in 14 sub-catchments of the middle Yellow River basin, China. The spatio-temporal variations in contributions of factors to runoff change were examined using a Budyko-based framework with a time-varying catchment characteristic parameter n in a 9-year moving window and by a comparison of northern and southern subcatchments. The results show that runoff changes induced by climate change had an increasing trend firstly and then gradually decreased over the period 1982–2015, whereas human activities associated with soil and water conservation measures had a greater impact in the northern parts of the study area. We found that the parameter n in Choudhury-Yang’s equation is significantly correlated to climatic and artificial factors. The influence of climatic factors on runoff includes changes both in hydrological inputs and catchment characteristics while the impacts of artificial factors are mainly achieved by the alteration of catchment characteristics. In addition to vegetation cover, the engineering measures for soil and water conservation, mainly including terraces and check-dams, played an important role in runoff reduction in the middle Yellow River basin. Inclusion of such features is therefore important when undertaking runoff attribution analysis. |
Keywords | Runoff change; Climate change; Vegetation cover; Soil and water conservation measures; Budyko model |
Year of Publication | 2021 |
Journal | Catena |
Journal citation | 206 (105557) |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.catena.2021.105557 |
Web address (URL) | https://doi.org/10.1016/j.catena.2021.105557 |
Open access | Published as green open access |
Funder | National Natural Science Foundation of China |
Biotechnology and Biological Sciences Research Council | |
Funder project or code | 41671004, 41971008 |
S2N - Soil to Nutrition - Work package 3 (WP3) - Sustainable intensification - optimisation at multiple scales | |
Accepted author manuscript | |
Supplemental file | |
Output status | E-publication ahead of print |
Publication dates | |
Nov 2021 | |
Online | 30 Jun 2021 |
Publication process dates | |
Accepted | 20 Jun 2021 |
Publisher | Elsevier Science Bv |
ISSN | 0341-8162 |
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