Wu et al.(2005)による〔『Chemical weathering in the Upper Huang He (Yellow River) draining the eastern Qinghai-Tibet Plateau』(5279p)から〕

『青海−チベット高原を流れる黄河上流部における化学風化』


Abstract
 We examined the fluvial geochemistry of the Huang He (Yellow River) in its headwaters to determine natural chemical weathering rates on the northeastern Qinghai-Tibet Plateau, where anthropogenic impact is considered small. Qualitative treatment of the major element composition demonstrates the dominance of carbonate and evaporite dissolution. Most samples are supersaturated with respect to calcite, dolomite, and atmospheric CO2 with moderate (0.710-0.715) 87Sr/86Sr ratios, while six out of 21 total samples have especially high concentrations of Na, Ca, Mg, Cl, and SO4 from weathering of evaporites. We used inversion model calculations to apportion the total dissolved cations to rain-, evaporite-, carbonate-, and silicate-origin. The samples are either carbonate- or evaporite-dominated, but the relative contributions of the four sources vary widely among samples. Net CO2 consumption rates by silicate weathering (6-120×103 mol/km2/yr) are low and have a relative uncertainty of 〜40%. we extended the inversion model calculation to literature data for rivers draining orogenic zones worldwide. The Ganges-Brahmaputra draining the Himalayan front has higher CO2 consumption rates (110-570×103 mol/km2/yr) and more radiogenic 87Sr/86Sr (0.715-1.24) than the Upper Huang He, but the rivers at higher latitudes are similar to or lower than the Upper Huang He in CO2 uptake by silicate weathering. In these orogenic zones, silicate weathering rates are only weakly coupled with temperature and become independent of runoff above 〜800 mm/yr.』

1. Introduction
2. Study area
 2.1. Geography
 2.2. Geology
 2.3. Climate, hydrology, and vegetation
3. Sampling and analytical methods
4. Results and discussion
 4.1. Major elements and strontium
  4.1.1. Evaporite dissolution and sulfide oxidation
  4.1.2. Carbonate weathering
  4.1.3. Silicate weathering
  4.1.4. Strontium system
 4.2. Inversion calculation
  4.2.1. The model
  4.2.2. End-member designation
  4.2.3. Model uncertainty and sensitivity
  4.2.4. Inversion results
 4.3. Flux calculations
 4.4. Upper versus lower reaches
 4.5. Comparison to rivers in other orogenic zones
5. Conclusions
Acknowledgments
References


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