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利用稳定同位素作为示踪剂研究中国成都平原地区的水文状况并估算水体停留时间。

Using stable isotopes as tracer to investigate hydrological condition and estimate water residence time in a plain region, Chengdu, China.

作者信息

Zhou Jing, Liu Guodong, Meng Yuchuan, Xia ChengCheng, Chen Ke, Chen Yu

机构信息

State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, 610065, China.

College of Water Resources and Hydropower, Sichuan University, Chengdu, 610065, China.

出版信息

Sci Rep. 2021 Feb 2;11(1):2812. doi: 10.1038/s41598-021-82349-3.

Abstract

The oxygen and hydrogen isotopic compositions (δO and δH) were measured on river water and precipitation collected from four sub-catchments within the upper Tuojiang River catchment. δO values of river water and precipitation exhibit significant seasonal variations. These seasonal variations are used for estimating the mean residence time (MRT) for four sub-catchments by an exponential model, ranging from 346 to 493 days. The correlation between catchment MRT and mean slope of the catchment (r = 0.29) is weak, while the correlations between catchment MRT, catchment area (r = 0.79) and topographic index (r = 0.98) are strong. These results indicate that topography and catchment area, both control the catchment MRT and the topographic index may be a reliable parameter for estimating the catchment MRT. Moreover, the relationship between land use types and MRT was investigated. The results show that paddy fields (r = 0.95) compared to the other land use types may have a greater impact on the MRT of the irrigation-dominated catchment. This study provides a preliminary exploration of the factors affecting MRT in the plain region and a basis for simulating MRT in the future.

摘要

对从沱江上游流域内四个子流域采集的河水和降水进行了氧和氢同位素组成(δO和δH)的测定。河水和降水的δO值呈现出显著的季节变化。利用指数模型,根据这些季节变化估算了四个子流域的平均停留时间(MRT),范围为346至493天。流域MRT与流域平均坡度之间的相关性较弱(r = 0.29),而流域MRT与流域面积(r = 0.79)和地形指数(r = 0.98)之间的相关性较强。这些结果表明,地形和流域面积共同控制着流域MRT,地形指数可能是估算流域MRT的一个可靠参数。此外,还研究了土地利用类型与MRT之间的关系。结果表明,与其他土地利用类型相比,水田(r = 0.95)可能对以灌溉为主的流域的MRT有更大影响。本研究为平原地区影响MRT的因素提供了初步探索,并为未来模拟MRT奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a12/7854618/eb52e7244e1d/41598_2021_82349_Fig1_HTML.jpg

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