Changes in major element hydrochemistry of the Pecos River in the American Southwest since 1935

Yuan, Fasong; Miyamoto, S.; Anand, Sury

doi:10.1016/j.apgeochem.2007.03.036

Cited by 20 publications

(30 citation statements)

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“…Lithology, climate, vegetation cover, and morphology (mostly through relief) have been suggested to be the major factors controlling the yield of rock debris and dissolved solids in drainage basins (e.g., Gibbs, 1970;Garrels and Mackenzie, 1971;White and Blum, 1995;Drever, 1997;Bouchard and Jolicoeur, 2000;Dupré et al, 2003;Riebe et al, 2004;Yuan et al, 2007). Human actions additionally alter the denudation of the land and influence the biogeochemical characteristics of rivers (e.g., Salomons et al, 1995;Soliman et al, 1998;Allen et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

Influence of geomorphological variables on mountainous stream water chemistry (Sierras Pampeanas, Córdoba, Argentina)

et al. 2009

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Section: Introductionmentioning

confidence: 99%

Influence of geomorphological variables on mountainous stream water chemistry (Sierras Pampeanas, Córdoba, Argentina)

et al. 2009

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“…There are primarily two major water inputs, namely snowmelt from winter storms in the headwater region of the southern Rocky Mountains and runoff from warmseason monsoonal rainfall in the lower valley. This river has been the subject of investigation by Yuan et al, (2007). Fig.…”

Section: Study Area and Statistical Analysismentioning

confidence: 99%

Prediction of daily suspended sediment load using wavelet and neurofuzzy combined model

Rajaee

Mirbagheri

Nourani

et al. 2009

Int. J. Environ. Sci. Technol.

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This study investigated the prediction of suspended sediment load in a gauging station in the USA by neuro-fuzzy, conjunction of wavelet analysis and neuro-fuzzy as well as conventional sediment rating curve models. In the proposed wavelet analysis and neuro-fuzzy model, observed time series of river discharge and suspended sediment load were decomposed at different scales by wavelet analysis. Then, total effective time series of discharge and suspended sediment load were imposed as inputs to the neuro-fuzzy model for prediction of suspended sediment load in one day ahead. Results showed that the wavelet analysis and neuro-fuzzy model performance was better in prediction rather than the neuro-fuzzy and sediment rating curve models. The wavelet analysis and neuro-fuzzy model produced reasonable predictions for the extreme values. Furthermore, the cumulative suspended sediment load estimated by this technique was closer to the actual data than the others one. Also, the model could be employed to simulate hysteresis phenomenon, while sediment rating curve method is incapable in this event.

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“…Flowing some 1480 km from the headwaters in northern New Mexico, the river converges with the Rio Grande in southwest Texas (Yuan and Miyamoto, ). The major sources of the streamflow are snowmelt from winter storms in the headwaters region, and runoff from warm‐season monsoonal rainfall in the lower valley (Yuan et al ., ). Multiple dams, three in New Mexico and one in Texas, have been constructed to collect and store water to provide a more dependable supply for agricultural irrigation and recreation.…”

Section: Introductionmentioning

confidence: 93%

Studies of a regulated dryland river: surface–groundwater interactions

McDonald

Sheng

Hart

et al. 2012

Hydrological Processes

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Unlike rivers in humid regions, dryland rivers typically exhibit reduced flow in the downstream direction as a result of transmission losses, which include seepage of streamflow into the aquifer, evaporation, and transpiration. However, much remains to be learned about the nature of the exchange between surface water and groundwater in these landscapes, especially in terms of spatial and temporal variability. Our study focused on streambank seepage and groundwater flow in the alluvial aquifer, specifically on answering questions such as: Is there seasonal variability in seepage losses? Is seepage permanently lost? Can losses be reduced by killing riparian vegetation? To better understand the magnitude, variability, and fate of streambank seepage, we assessed river stages, groundwater hydraulic gradients, and groundwater flow paths at two sites along a reach of the Pecos River, a dryland perennial river in West Texas. We found that along this reach the river was losing water to the aquifer even under low‐flow conditions; but seepage was controlled by a number of different mechanisms. Seepage increased not only during high‐flow events but also when the groundwater level was declining owing to long periods of no irrigation release. Tamarix (saltcedar) control did not affect hydraulic gradients nor reduce streambank seepage and given that this reach of the Pecos River is a losing one, streamflow will not be enhanced by controlling saltcedar. These findings can be used to improve basic conceptual models of dryland river systems and to predict hydrologic responses to changes in the timing and magnitude of streamflows and to riparian vegetation management. Copyright © 2012 John Wiley & Sons, Ltd.

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Changes in major element hydrochemistry of the Pecos River in the American Southwest since 1935

Cited by 20 publications

References 20 publications

Influence of geomorphological variables on mountainous stream water chemistry (Sierras Pampeanas, Córdoba, Argentina)

Influence of geomorphological variables on mountainous stream water chemistry (Sierras Pampeanas, Córdoba, Argentina)

Prediction of daily suspended sediment load using wavelet and neurofuzzy combined model

Studies of a regulated dryland river: surface–groundwater interactions

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