2003
DOI: 10.1046/j.1365-2117.2003.00211.x
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Modelling detrital cooling‐age populations: insights from two Himalayan catchments

Abstract: The distribution of detrital mineral cooling ages in river sediment provides a proxy record for the erosional history of mountain ranges. We have developed a numerical model that predicts detrital mineral age distributions for individual catchments in which particle paths move vertically toward the surface. Despite a restrictive set of assumptions, the model permits theoretical exploration of the effects of thermal structure, erosion rate, and topography on cooling ages. Hypsometry of the source‐area catchment… Show more

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Cited by 91 publications
(153 citation statements)
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References 59 publications
(87 reference statements)
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“…Previous efforts to estimate Late MiocenePleistocene exhumation rates in the Annapurna Range from thermochronometric data have involved direct interpretations of apparent age-elevation profiles Blythe et al 2007), modeling of detrital mineral cooling ages from samples of modern river deposits (Brewer et al 2003(Brewer et al , 2006Ruhl and Hodges 2005;, and one-, two-, and three-dimensional thermokinematic modeling of distributed data, particularly apatite and ZrnFT dates Nadin and Martin 2012). All of these estimates are based on minerals in bedrock or detrital samples from Greater Himalayan Sequence lithologies collected from structural levels most comparable to the collection sites of the Annapurna-Dhumpu footwall samples we studied.…”
Section: Sensitivity Analysis Of Models and Comparisons Withmentioning
confidence: 99%
“…Previous efforts to estimate Late MiocenePleistocene exhumation rates in the Annapurna Range from thermochronometric data have involved direct interpretations of apparent age-elevation profiles Blythe et al 2007), modeling of detrital mineral cooling ages from samples of modern river deposits (Brewer et al 2003(Brewer et al , 2006Ruhl and Hodges 2005;, and one-, two-, and three-dimensional thermokinematic modeling of distributed data, particularly apatite and ZrnFT dates Nadin and Martin 2012). All of these estimates are based on minerals in bedrock or detrital samples from Greater Himalayan Sequence lithologies collected from structural levels most comparable to the collection sites of the Annapurna-Dhumpu footwall samples we studied.…”
Section: Sensitivity Analysis Of Models and Comparisons Withmentioning
confidence: 99%
“…Thus, sediment collected from the creek should have apatite helium ages that reveal the relative contributions of different elevations to the sediment flux at the sampling point (24). In the reference case of uniform sediment production and erosion, each point on the landscape is equally prone to producing a sediment particle and delivering it to the creek (29,30). In that case, the measured age distribution Significance Rivers carve through landscapes using sediment produced on hillslopes by biological, chemical, and physical weathering of underlying bedrock.…”
mentioning
confidence: 99%
“…Science China: Earth Sciences, 57: 2702Sciences, 57: -2711Sciences, 57: , doi: 10.1007 Quantitative studies of exhumation rates place important constraints on landscape evolution and on hypotheses for the formation of mountain belts. Exhumation rates have traditionally been determined by dating minerals of known closure temperature in igneous or metamorphic rocks (e.g., Copeland et al, 1987), or by thermochronology of detrital minerals collected from rivers (e.g., Jain et al, 2000;Brewer et al, 2003). The advantage of the former is that multiple minerals, with different closure temperatures, can be dated from the same rock allowing the exhumation history for the rock to be documented.…”
Section: Citationmentioning
confidence: 99%
“…The obvious explanation for this apparent discrepancy is that regions with high exhumation rates are providing a disproportionate fraction of the Indus River load. Compression of isotherms in areas of high relief (Zeitler, 1985;Brewer et al, 2003) or adjacent to thrusts may contribute to the variability of the short-term exhumation rates.…”
Section: Possible Controls On the Differences Between Shortand Long-tmentioning
confidence: 99%