Isotopic constraints on the origin of groundwater in the Ordos Basin of northern China

Chen, Jiansheng; Liu, Xiaoyan; Wang, Chiyuen; Rao, Wenbo; Tan, Hongbing; Dong, Hezhong; Sun, Xiaolong; Wang, Yongsen; Su, Zhiguo

doi:10.1007/s12665-011-1259-6

Cited by 52 publications

(30 citation statements)

References 20 publications

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“…Monthly sampling resolution and monthly data are still frequently used in stable water isotope studies when either the effort or the costs are too high to realize a higher sampling frequency (e.g., Goller et al, 2005;Rodgers et al, 2005;Viville et al, 2006;Liu et al, 2007;Rock and Mayer, 2007;Chen et al, 2012), which goes in line with a large share of observation points of the Global Network of Isotopes in Precipitation and Rivers (GNIP) of the I.A.E.A.-W.M.O.…”

Section: Discussionmentioning

confidence: 99%

Sampling frequency trade-offs in the assessment of mean transit times of tropical montane catchment waters under semi-steady-state conditions

Timbe

Windhorst²,

Célleri

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract. Precipitation event samples and weekly based water samples from streams and soils were collected in a tropical montane cloud forest catchment for 2 years and analyzed for stable water isotopes in order to understand the effect of sampling frequency in the performance of three lumped-parameter distribution functions (exponential-piston flow, linear-piston flow and gamma) which were used to estimate mean transit times of waters. Precipitation data, used as input function for the models, were aggregated to daily, weekly, bi-weekly, monthly and bi-monthly sampling resolutions, while analyzed frequencies for outflows went from weekly to bi-monthly. By using different scenarios involving diverse sampling frequencies, this study reveals that the effect of lowering the sampling frequency depends on the water type. For soil waters, with transit times on the order of few weeks, there was a clear trend of over predictions. In contrast, the trend for stream waters, which have a more damped isotopic signal and mean transit times on the order of 2 to 4 years, was less clear and showed a dependence on the type of model used. The trade-off to coarse data resolutions could potentially lead to misleading conclusions on how water actually moves through the catchment, notwithstanding that these predictions could reach better fitting efficiencies, fewer uncertainties, errors and biases. For both water types an optimal sampling frequency seems to be 1 or at most 2 weeks. The results of our analyses provide information for the planning of future fieldwork in similar Andean or other catchments.

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Section: Discussionmentioning

confidence: 99%

Sampling frequency trade-offs in the assessment of mean transit times of tropical montane catchment waters under semi-steady-state conditions

Timbe

Windhorst²,

Célleri

et al. 2015

Hydrol. Earth Syst. Sci.

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“…The method of CJSRWB is built on water balance, which means that the only water input for the YRB is precipitation. This may be a limitation of the CJSRWB data, because there is evidence of inter-basin inflow (see, e.g., Chen et al 2004;Chen and Wang 2009;Chen et al 2011;Chen and Jiang 2015;Jiang and Chen 2015). For instance, Zhou et al (2013) found that Namco Lake in Tibet suffered water seepage at an average outflow of 120-190 m 3 /s through a sub-surface fault.…”

Section: Estimation Of Groundwater Anomaliesmentioning

confidence: 99%

Monitoring groundwater changes in the Yangtze River basin using satellite and model data

2016

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Space-borne geodetic sensors and model-based datasets have been used to monitor groundwater changes in the Yangtze River basin (YRB). Groundwater storage variations were computed using the following datasets:• Gravity Recovery and Climate Experiment (GRACE)-derived terrestrial water storage (TWS),• Noah driven Global Land Data Assimilation System (GLDAS-Noah) model to simulate the total water content (TWC) i.e. soil moisture, ice and snow, and canopy water storage, and• Satellite altimetry-observed surface water reservoir storages.Overall, the results show that groundwater in the YRB rose by at least 3.34 km 3 /yr between January 2003 and December 2009. However, the estimated groundwater linear trend for the period of 2003-2009 was −0.95 km 3 /yr according to the Changjiang and Southwest Rivers Water Resource Bulletin (CJSRWB). An analysis of the methodology of the CJSRWB shows that the groundwater estimate was based on the water balance approach, which has been found to be weak in inter-basin sub-surface flow. The GRACE-estimated groundwater rise is larger and suggests that the YRB is affected by seepage from Tibetan lakes through a sub-surface fault. Additionally, there is evidence showing that water loss from the Yangtze River by underground leakage through faults could also be a cause of the difference. Therefore, it is concluded that further investigation is required to determine the causation.

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“…In contrast, considering there is limited precipitation but very high potential evaporation and significantly more enriched average isotopic composition of local precipitation than those of groundwaters in the Loess Plateau, Chen et al . (2004 and 2012) commented that the main recharge source is not the local precipitation but from deep regional confined groundwater systems discharging upward from far mountainous sources.…”

Section: Introductionmentioning

confidence: 99%

Temporal variation of stable isotopes in a precipitation–groundwater system: implications for determining the mechanism of groundwater recharge in high mountain–hills of the Loess Plateau, China

Tan

Wen

Rao

et al. 2015

Hydrological Processes

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The groundwater in shallow loess aquifers in high mountain–hills in the western Loess Plateau in China is almost the sole water resource for local residents. However, the question about how the loess groundwater naturally circulates in these high mountain–hills, characterized by low precipitation and high potential evaporation, remains unclear. The objectives of this study are to evaluate the application of hydrogen and oxygen isotopes to (1) examine temporal variations of the isotopic composition of precipitation and shallow groundwater and (2) uncover the mechanism of groundwater recharge in high mountain–hills. Results from 2 years of monitoring data show a difference in the stable isotopes for groundwater and local precipitation between the winter and summer periods. Similar to precipitation, stable isotopes in groundwater are observed to be depleted in winter and enriched in summer, particularly in oxygen isotope. A prominent characteristic is that H and O isotopes of groundwater show a very clear response to strong precipitation in the rainy season in 2013. The results highlight that local precipitation is the likely recharge source for groundwater in shallow loess aquifers. Annual recharge from local precipitation maintains the groundwater resource in the shallower loess aquifer. The mechanisms governing shallow loess groundwater recharge in high mountain–hills were evaluated. In addition to possible vertical slow percolation of soil water through the unsaturated zone, rapid groundwater recharge mechanisms have been identified as temporal preferential infiltration through sinkholes, slip surface or landslide surface and through the interface of loess layer and palaeo‐soils. Most groundwater can be recharged after a heavy rainy season. Copyright © 2015 John Wiley & Sons, Ltd.

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Isotopic constraints on the origin of groundwater in the Ordos Basin of northern China

Cited by 52 publications

References 20 publications

Sampling frequency trade-offs in the assessment of mean transit times of tropical montane catchment waters under semi-steady-state conditions

Sampling frequency trade-offs in the assessment of mean transit times of tropical montane catchment waters under semi-steady-state conditions

Monitoring groundwater changes in the Yangtze River basin using satellite and model data

Temporal variation of stable isotopes in a precipitation–groundwater system: implications for determining the mechanism of groundwater recharge in high mountain–hills of the Loess Plateau, China

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