Water Science and Engineering 2017, 10(4) 320-325 DOI:   https://doi.org/10.1016/j.wse.2017.12.001  ISSN: 1674-2370 CN: 32-1785/TV

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Keywords
Rainfall simulation
Urban vegetation in arid area
Rainfall-runoff process
Regulatory effect
Xi’an loess region
Authors
PubMed

Effects of urban grass coverage on rainfall-induced runoff in Xi’an loess region in China

Jing Li, Zhan-bin Li, Meng-jing Guo*, Peng Li, Sheng-dong Cheng

State Key Laboratory Base of Eco-Hydraulic Engineering in Arid Areas, Xi’an University of Technology, Xi’an 710048, China

Abstract

In this study, laboratory rainfall simulation experiments were conducted to investigate the regulatory effects of grass coverage on rainfall-runoff processes. A total of 80 grass blocks planted with well-grown Manila grass, together with their root systems, were sampled from an eastern suburban area of Xi’an City in the northwest arid area of China and sent to a laboratory for rainfall simulation experiments. The runoff and infiltration processes of a slope with different grass coverage ratios and vegetation patterns were analyzed. The results show that the runoff coefficient decreases with the increase of the grass coverage ratio, and the influence of grass coverage on the reduction of runoff shows a high degree of spatial variation. At a constant grass coverage ratio, as the area of grass coverage moves downward, the runoff coefficient, total runoff, and flood peak discharge gradually decrease, and the flood peak occurs later. With the increase of the grass coverage ratio, the flood peak discharge gradually decreases, and the flood peak occurs later as well. In conclusion, a high grass coverage ratio with the area of grass coverage located at the lower part of the slope will lead to satisfactory regulatory effects on rainfall-induced runoff.

Keywords Rainfall simulation   Urban vegetation in arid area   Rainfall-runoff process   Regulatory effect   Xi’an loess region  
Received 2017-04-23 Revised 2017-09-13 Online: 2017-10-30 
DOI: https://doi.org/10.1016/j.wse.2017.12.001
Fund:

This work was supported by the National Natural Science Foundation of China (Grant No. 51609196).

Corresponding Authors: guomengjing263@163.com (Meng-jing Guo)
Email: guomengjing263@163.com
About author:

References:

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