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一个小型农业集水区内事件径流特征的时空变异性。

Spatial and temporal variability of event runoff characteristics in a small agricultural catchment.

作者信息

Chen Xiaofei, Parajka Juraj, Széles Borbála, Strauss Peter, Blöschl Günter

机构信息

Centre for Water Resource Systems, TU Wien, Vienna, Austria.

Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Vienna, Austria.

出版信息

Hydrol Sci J. 2020 Aug 5;65(13):2185-2195. doi: 10.1080/02626667.2020.1798451.

Abstract

The objective of this study is to investigate the factors that control event runoff characteristics at the small catchment scale. The study area is the Hydrological Open Air Laboratory, Lower Austria. Event runoff coefficient (Rc), recession time constant (Tc) and peak discharge (Qp) are estimated from hourly discharge and precipitation data for 298 events in the period 2013-2015. The results show that the Rc and their variability tend to be largest for the tile drainages (mean Rc = 0.09) and the main outlet (mean Rc = 0.08) showing larger Rc in January/February and smaller Rc in July/August. Tc does not vary much between the systems and tends to be largest at the main outlet (mean Tc = 6.5 h) and smallest for the tile drainages (mean Tc = 4.5 h). Groundwater levels explain the temporal variability of Rc and Tc more than soil moisture or precipitation, suggesting a role of shallow flow paths.

摘要

本研究的目的是调查在小流域尺度上控制事件径流特征的因素。研究区域是奥地利下奥地利州的水文露天实验室。根据2013 - 2015年期间298次事件的每小时流量和降水数据估算事件径流系数(Rc)、消退时间常数(Tc)和峰值流量(Qp)。结果表明,瓦管排水区域(平均Rc = 0.09)和主要出水口(平均Rc = 0.08)的Rc及其变异性往往最大,1月/ 2月的Rc较大,7月/ 8月的Rc较小。各系统之间的Tc变化不大,在主要出水口往往最大(平均Tc = 6.5小时),而对于瓦管排水区域最小(平均Tc = 4.5小时)。地下水位比土壤湿度或降水量更能解释Rc和Tc的时间变异性,这表明浅层流动路径起到了作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b47/7872197/10902c62615d/THSJ_A_1798451_F0001_OC.jpg

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