Spatiotemporal variation of river temperature as a predictor of groundwater/surface-water interactions in an arid watershed in China | Variation spatiotemporelle de la température d’une rivière en tant qu’indicateurs prévisionnels des interactions entre les eaux souterraines et les eaux de surface dans un bassin versant aride en Chine Variación espacio temporal de la temperatura de un río como un indicador de la interacción agua superficial / agua subterránea en una cuenca árida en China 中国干旱流域基于河流温度时空变化的地下水/地表水相互作用研究 Variação espaço-temporal da temperatura fluvial como um preditor de interações entre águas superficiais e subterrâneas em uma bacia hidrográfica árida na China
2015
Yao, Yingying | Huang, Xiang | Liu, Jie | Zheng, Chunmiao | He, Xiaobo | Liu, Chuankun
Interactions between groundwater and surface water in arid regions are complex, and recharge–discharge processes are often influenced by the hydrological regime, climate and geology. Traditional methods such as hydraulic gradient measuring by piezometers, differential discharge gauging and conservative tracer experiments, are often inadequate to capture the spatial and temporal variation of exchange rates. In this study, the distribution and the size of the overall groundwater inflow zone (GIZ) and the hyporheic inflow zone (HIZ) in the middle Heihe River Basin, northwest China, are characterized, and the relative inflow flux is estimated by high-resolution temperature measurements. Distributed temperature sensing (DTS) was used to measure the mixing temperatures of a 5-km reach of streambed with a spatial resolution of 0.5 m. The sampling interval was 0.25 m, and the temporal interval was 15 and 10 min at Pingchuan and Banqiao experimental sites, respectively. Two separate measurement periods in Pingchuan (Ping1, Ping2) captured different meteorological and stream-flow conditions. The results show that the number and the size range of the individual HIZs are greater than those of GIZs. Groundwater upwelling (GIZ) causes a larger decrease in river-water temperature with less inflow flux compared with the HIZ. The distribution pattern of HIZs and GIZs is influenced by the hydrodynamics of the river and the hydraulic permeability of the riverbed. High-resolution temperature variation based on DTS is an effective predictor of distributed inflows from groundwater upwelling and hyporheic exchange in an arid region.
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