Assessment of water sources and their contributions to streamflow by end-member mixing analysis in a subtropical mixed agricultural catchment

Lv, Yuguang; Gao, Lei; Geris, Josie; Verrot, Lucile; Peng, Xinhua

doi:10.1016/j.agwat.2018.03.013

Cited by 22 publications

(17 citation statements)

References 40 publications

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“…Currently, there are effective ways to track the migration of substances in GSPAC systems [29][30][31][32], such as isotope, geochemical ions, and rare earth elements. The new Earth Critical Zone study focuses on effectively links between disciplines, scales, and data to achieve the mutual transformation of microscales (soil pores and aggregates), mesoscales (soil profiles, fields, or catena), and macroscales (basins, regions, or global) [33].…”

Section: Diagram Of Magi Model Research Framework (Quoted From [22])mentioning

confidence: 99%

The “groundwater benefit zone”, proposals, contributions and new scientific issues

Zhao¹,

Qi²,

Hu³

et al. 2021

Preprint

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Section: Diagram Of Magi Model Research Framework (Quoted From [22])mentioning

confidence: 99%

The “groundwater benefit zone”, proposals, contributions and new scientific issues

Zhao¹,

Qi²,

Hu³

et al. 2021

Preprint

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“…Streamflow is a critical part of the hydrological cycle and provides important sources of drinking water, and water for irrigation, industry, entertainment, and other activities. Moreover, analyzing river water sources such as precipitation or groundwater is of great importance for revealing streamflow generation mechanisms (Li et al, 2019; Mcdonnell, 2003; Shi et al, 2021); and identifying water sources is also needed to understand the migration of solutes and contaminants and to maintain the water resources sustainability of river basins subject to intensive human activity (Lee et al, 2019; Lutz et al, 2020; Lv et al, 2018; Zhu et al, 2019). Many studies have shown that the interaction between water and soil/bedrock via different flow pathways' results in diverse hydrochemical characteristics, thus providing the opportunity to identify water sources via the characterization of different flow pathways based on hydrochemical tracers (Ledesma et al, 2013; Liu et al, 2017; Stewart et al, 2022; Tetzlaff et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Identifying river water sources using end‐member mixing analysis in a subtropical monsoon basin China

Xiao

Shi

et al. 2023

Hydrological Processes

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Pressure on river water resources may increase continuously under global climate change and the increasing intensity of human activity, and the identification of river water sources is needed to maintain water resource sustainability. In this study, river water sources were studied using hydrochemical tracers (i.e. the major ions) and end‐member mixing analysis (EMMA) during two hydrological years, in the subtropical monsoon basin of the Xiangjiang River in the south‐central China. Various water types including precipitation, river water, and mountain creek water, were collected in the basin at a high frequency. The results of EMMA showed that the average contributions from the direct input of precipitation, near‐surface runoff (represented by mountain creek water), and groundwater (represented by river water sampled during the base flow period) were 28 ± 24%, 49 ± 24% and 23 ± 16%, respectively. The contributions from these water sources to the river water varied greatly within the year, which may indicate a shift in the major flow pathways from direct precipitation input and near‐surface flow pathways in the spring rainy months (e.g. from March to May), to a deeper flow pathway in the dry or rainless months (e.g. January, February, July and December). The shift of the major flow pathways may be due to the factors such as the seasonality of precipitation, evapotranspiration and soil wetness conditions. Groundwater and near‐subsurface runoff dominated the river water and the direct input of precipitation was negligible during the dry or rainless months, and consequently, the river water chemistry was less diluted and more influenced by water‐soil/rock interactions and anthropogenic pollution during these months. The creek water contribution to the river water was relatively high in summer, especially in June and July 2021, which may indicate the substantial inter‐seasonal carryover of precipitation that contributed to the river water. With the projected increased frequency of extreme weather events such as seasonal drought, streamflow in the subtropical monsoon regions may experience greater recharge by deeper flow pathways, with the enhanced role of base flow in regulating streamflow, and there may be an increased risk to the water resource security under the condition of the decreased river dilution capacity and increased anthropogenic pollution.

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“…Runoff generation behaviours and their driving mechanisms are therefore critical in reducing soil erosion and improving the water management level of red soil region. Previous related studies in this area have made enormous efforts in slope runoff dynamics and its interaction with vegetation and climate through methods such as monitoring and geochemical tracers (Lv et al, 2018; Tang et al, 2008; Y. Wang et al, 2019). However, to our knowledge, slope runoff threshold simulations linked with rainfall classification have not been conducted in red soil regions with highly varied rainfall patterns.…”

Section: Introductionmentioning

confidence: 99%

Combined effects of rainfall types and antecedent soil moisture on runoff generation at a hillslope of red soil region

Wang

Gao

Huang

et al. 2022

European J Soil Science

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The runoff threshold is one of the important parameters in hillslope hydrology. Information on the combined roles of rainfall types and antecedent soil moisture in the runoff generation threshold is still scarce. Therefore, we linked the runoff generation behaviours of a 150‐m hillslope with rainfall types and antecedent soil moisture conditions during a 4‐year observation period between January 2017 and December 2020 in the red soil region of China. We found that the surface runoff of a hillslope could be modelled with a relatively high accuracy using HYDRUS 1D. Rainfall event types, classified into four types (I, II, III and IV) using a machine learning based k‐means clustering algorithm, significantly affected the modelling accuracy of runoff. The prediction accuracy decreased as the level of rainfall type increased, with R2 decreasing from 0.93 for type I to 0.41 for type IV and RMSE increasing from 0.0082 to 0.025 italiccm3italiccm−3 accordingly. The scope of the runoff threshold, represented by antecedent soil water storage of 0–30 cm and event rainfall amount (ASW+P), ranged between 97 and 139 mm. That is, when ASW+P was lower than the lower limit, no runoff occurred in all of the rainfall events, and runoff would be generated without considering the hydrological conditions if ASW+P was higher than 139 mm. The driving factors of runoff generation were strongly dependent on the classified rainfall types. Hourly maximum rainfall intensity was the main contributor to runoff generation for the relatively slight rainfall events (i.e., types I and II). The rainfall amount, however, played a dominant role for the rainfall types with larger amounts and intensities (i.e., types III and IV). These findings provide insights into the method of determining runoff thresholds as well as the inner mechanisms of runoff generation behaviours at the hillslope scale under regions with similar climatic and hydrological conditions to the present study. Highlights Heavy rainfall events were the main error sources of runoff modelling. The threshold of runoff generation was identified by the combination of antecedent soil moisture and rainfall. Threshold scope of runoff generation ranged between 97 and 139 mm. Rainfall classification is valuable in understanding runoff generation behaviours. Runoff driving factors depended on rainfall types.

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Assessment of water sources and their contributions to streamflow by end-member mixing analysis in a subtropical mixed agricultural catchment

Cited by 22 publications

References 40 publications

The “groundwater benefit zone”, proposals, contributions and new scientific issues

The “groundwater benefit zone”, proposals, contributions and new scientific issues

Identifying river water sources using end‐member mixing analysis in a subtropical monsoon basin China

Combined effects of rainfall types and antecedent soil moisture on runoff generation at a hillslope of red soil region

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