Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-26T05:38:06.208Z Has data issue: false hasContentIssue false
  • English
  • Français

Spatial and temporal variations of oxygen isotopes in snowpacks and glacial runoff in different types of glacial area in western China

Published online by Cambridge University Press:  14 September 2017

Yuanqing He ,
Hongxi Pang ,
W.H. Theakstone ,
Dian Zhang ,
Aigang Lu ,
Bo Song ,
Lingling Yuan  and
Baoying Ning
Yuanqing He
Affiliation:
Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 260 Donggang West Road, Lanzhou 730000, China
Hongxi Pang
Affiliation:
Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 260 Donggang West Road, Lanzhou 730000, China
W.H. Theakstone
Affiliation:
School of Environment and Development, University of Manchester, Oxford Road, Manchester M13 9PL, UK
Dian Zhang
Affiliation:
Department of Geography, University of Hong Kong, Pokfulam Road, Hong Kong
Aigang Lu
Affiliation:
Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 260 Donggang West Road, Lanzhou 730000, China
Bo Song
Affiliation:
Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 260 Donggang West Road, Lanzhou 730000, China
Lingling Yuan
Affiliation:
Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 260 Donggang West Road, Lanzhou 730000, China
Baoying Ning
Affiliation:
Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, 260 Donggang West Road, Lanzhou 730000, China
Rights & Permissions [Opens in a new window]

Abstract

In order to improve understanding of spatial and temporal variations of stable isotopes in atmospheric precipitation, snow cover and glacier meltwater in different regions of China, samples were collected for isotopic analysis in four areas: Yulong mountain, Yunnan Himalaya (temperate-glacier area); Samdain Kangsang mountain, Nyainqêntanglha Shan (subpolar-glacier area); the headwater area of the Ürümqi river, Tien Shan (subpolar-glacier area); and Muztag mountain, Pamirs (polar-glacier area). Sampling was undertaken in both summer and winter between 2000 and 2003. The δ18O values show a ‘temperature–altitude effect’ in new winter snow on Yulong mountain, reflecting the condensation and fractionation processes associated with the winter monsoon, but a different, more complex pattern in residual snow deposited during the summer monsoon; this old snow is influenced by the ‘precipitation amount effect’, solar radiation and evaporation, and the water content of the snowpack. The summer precipitation at Samdain Kangsang mountain is associated with the summer monsoon. There is a marked precipitation amount effect during the long passage of the southwest/India monsoon from the distant moisture source to Samdain Kangsang mountain, and the summer precipitation is strongly depleted of the heavy isotope. Above 6000 m, the high radiation flux causes much evaporation from the snow surface. The associated 1 8O enrichment of the snow is reflected in a ‘reverse altitude effect’. The δ18O values in the summer snowpack of the Tien Shan and Muztag mountain decrease with increasing altitude and decreasing air temperature, indicating a temperature–altitude effect. Post-depositional processes cause isotopic changes during the transformation of snow/firn/ice to meltwater; the effects are much stronger at temperate than at polar glaciers. Moreover, changes in the isotopic signal at both temperate and polar glaciers can result from evaporation, sublimation, ablation and drifting.

Type
Research Article
Information
Annals of Glaciology , Volume 43 , 2006 , pp. 269 - 274
Copyright
Copyright © The Author(s) [year] 2006

Introduction

Glaciologists, climatologists and hydrologists are interested in using stable isotopes and environmental chemistry as indicators of the processes involved in atmospheric precipitation, the transformation of snow to ice, and runoff from glaciers (Reference DansgaardDansgaard, 1964; Reference Moser, Stichler, Fritz and FonteMoser and Stichler, 1980; Reference TheakstoneTheakstone, 1988, Reference Theakstone2003; Reference Wagenbach, Oeschger and LangwayWagenbach, 1989; Reference He and TheakstoneHe and Theakstone, 1994; Reference Raben and TheakstoneRaben and Theakstone, 1998; Reference Theakstone and KnudsenTheakstone and Knudsen, 1989, Reference Theakstone and Knudsen1996; Reference He, Yao, Cheng and YangHe and others, 2001a, b). Studies at high-altitude sites have expanded knowledge of the links between climate and the isotopic composition of precipitation (Reference Niewodniczaéski, Grabczak, Baranski and RzepkaNiewodniczaéski and others, 1981; Reference Grootes, Stuiver, Thompson and Mosley-ThompsonGrootes and others, 1989; Reference ThompsonThompson and others, 1998; Reference Stichler, Schotterer, Fröhlich, Ginot, Kull and GäggelerStichler and others, 2001; Reference Bradley, Vuille, Hardy and ThompsonBradley and others, 2003). Since the early 1990s, scientists in China have used stable isotopes to study the distribution of atmospheric precipitation and the features of the water cycle on the Tibetan Plateau (Reference Zhang and YaoZhang and Yao, 1995; Reference Tian, Yao and PuTian and others, 1997, Reference Tian, Yao, Numaguti and Sun2001, Reference Tian, Yao and Schuste2003; Reference He, Yao, Cheng and YangHe and others, 2001a; Reference Zhang, Nakawo and FujitaZhang and others, 2001) and have considered vapor sources as an important factor impacting the distribution of oxygen isotopes in precipitation.

Under the influence of continental air masses, δ18O values of precipitation on the Tibetan Plateau are related to temperature, the so-called ‘temperature effect’, also termed the ‘altitude effect’ because temperature decreases with increasing altitude (Reference Ingraham, Kendall and McDonnellIngraham, 1998). However, especially in monsoon-climate regions, where fractionation is related to the intensity of the convective process, which is approximately proportional to the amount of precipitation, a negative correlation between δ18O values and the precipitation amount/temperature, the ‘precipitation amount effect’, has been noted (Reference Johnson and IngramJohnson and Ingram, 2004). Isotopic fractionation in the snow cover during the transformation of snow to ice to meltwater may change the ‘temperature/ altitude effect’ into a ‘reverse altitude effect’.

The uplift of the Tibetan Plateau has resulted in a complex climatic situation in China (Reference Shi, Huang and RenShi and others, 1988, Reference Shi, Huang, Yao and Deng2000). Dependent upon the direction of approach of vapor sources, the westerly circulation or the south Asia monsoon circulation, which can be divided into the southwest and southeast monsoons, prevails in western China (Fig. 1).

Fig. 1. Sampling sites and areas with different types of glacier in western China: A. temperate-glacier area; B. subpolar-glacier area; C. polar-glacier area.

Reference Shi and XieShi and Xie (1964) classified China’s glaciers into the marine type (akin to temperate glaciers elsewhere) and the continental type (termed polar glaciers elsewhere), and subdivided the latter into subpolar and polar glaciers according to the climate conditions and associated physical properties during their formation. The temperate glaciers described here are controlled principally by maritime air masses, but the polar glaciers are influenced by continental air masses with markedly different chemical and physical characteristics (Reference Su and LiSu and Li, 1996; Reference Tian, Yao, Numaguti and SunTian and others, 2001). Figure 1 shows the different glacial areas in western China.

In order to compare the temporal and spatial distributions of stable isotopes in the system which relates atmospheric precipitation, accumulated snow, glaciers and meltwater runoff, and to elucidate the changes in isotopic ratios during melting and phase-change processes in snow and ice, systematic sampling of snow and snow/ice meltwater was carried out on Yulong mountain, Yunnan Himalaya (temperate-glacier area); Samdain Kangsang mountain, Nyainqên-tanglha Shan (subpolar-glacier area); the headwater area of the Ürümqi river, Tien Shan (subpolar-glacier area); and Muztag mountain, Pamirs (polar-glacier area) (Fig. 1). Sampling was undertaken at different elevations and in different seasons (summer and winter) from 2000 until 2003. Logistical constraints limited the number of samples that could be collected at the remote, high-altitude sites. Here, the results of oxygen isotope analysis of the samples are presented to provide a better understanding of the spatial and temporal variations observed in snow and snow meltwater from four glaciers in western China.

The Study Areas, Field Sampling and Laboratory Analysis

Yulong mountain (27˚10’ N, 100˚15’ E), located at the south end of the Hengduan Shan, 25 km north of Lijiang, Yunnan Province, is the southernmost glacier-covered mountain in China (Fig. 1). With a highest peak of 5596 m, it is closer to the Equator than any other glacierized area in mainland Eurasia. Its climate, dominated by the southwest monsoon from the Indian Ocean, is characterized by warm, wet summers and cold, dry winters, with an annual precipitation of 1000–2000mm. The 19 glaciers on Yulong mountain are typical temperate glaciers. The largest, Baishui glacier No. 1 (BG1), is located on the eastern slope. It extends from >5000 to 4100 m a.s.l., with an equilibrium-line altitude (ELA) of 4800 m. Samples of melting residual snow, and ice and snow meltwater were collected at the glacier in July 2000. In November 2002, samples of newly deposited snow also were collected. Samples were taken at intervals of 50–100 m between 3200 and 5000 m a.s.l. Samples of old (residual) snow which had fallen between late October and early November were collected on 15 November 2002, and samples of newly deposited snow were collected on 26 November 2002, when the summer monsoon had ended and the winter-monsoon precipitation produced by continental air masses had begun.

Samdain Kangsang mountain (30˚54’N, 91˚30’ E), with a highest peak of 6590 m, is located in the western section of the Nyainqêntanglha Shan in Naqu, Tibet. Although affected by the southwest monsoon climate, it is a subpolar glacier area, with an annual precipitation of 400–500 mm. In August 2003, samples of new snow were collected at a height interval of 100 m between 5500 and 6700ma.s.l.

The headwaters of the Ürümqi river, in the eastern section of the Tien Shan (43˚04’ N, 86˚30’ E), are influenced in part by the westerly circulation, with moisture from the Atlantic Ocean and Mediterranean Sea reaching the area. More than 3000 km from the nearest sea, it is a subpolar glacier area, controlled by a semi-arid interior climate, with an annual precipitation of 400–600 mm. Ürümqi glacier No. 1 (UG1) is located between 3800 and 4300 m a.s.l., and its ELA is at approximately 4050 m. The glacier has two branches. In July and August 2002, samples of newly deposited snow were collected between 3800 and 4200ma.s.l. on the western branch, and samples of melting residual snow were collected within the same altitudinal range on the eastern branch.

Muztag mountain, situated in the eastern part of the Pamirs (38˚14’ N, 75˚03’ E) with an arid interior climate, is a polar-glacier area with a highest peak of 7546 m. The ELA is between 5300 and 5500 m. In July and August 2002, samples of newly deposited snow and melting residual snow were collected between 4900 and 5500 m.

Samples were immediately transferred to pre-cleaned polyethylene bottles. The δ18O values of the samples were determined at the Laboratory of Ice Core and Cold Regions Environment, Chinese Academy of Sciences, using MAT-252 and DeltaPlus mass spectrometers, with a precision of ±0.2%.

Results

The δ18O values of samples of newly deposited snow collected between 3200 and 4900 m a.s.l. on Yulong mountain on 26 November 2002 decreased with increasing altitude (Fig. 2a). This snow was precipitated by the winter monsoon, and little melting occurred at the time of collection as temperatures generally were below 0˚C. The mean δ18O value was –10.56% (Table 1), and the altitudinal gradient (–0.22% (100 m)–1 was within the usual range for precipitation, –0.15% (100 m)–1 to –0.50% (100 m)–1 (Reference Clark and FritzClark and Fritz, 1997).

Fig. 2. (σ) Variation of δ18O values with altitude in the new snowpack at Yulong mountain, 26 November 2002. (b) Variation of δ18O values with altitude in the melting residual snowpack at Yulong mountain, 15 November 2002. (c) Variation of δ18O values with altitude in the melting snowpack at Yulong mountain, July 2000.

Table 1. Maximum, mean and minimum δ18O values of samples of new snow, old (residual) snow and meltwater collected at Yulong mountain in November 2002, and δ18O values of meltwater samples collected in July 2000. n is the number of samples

The altitudinal pattern of δ18O values of residual snow which had fallen in late October and early November, before the end of the summer monsoon, and was sampled on 15 November 2002, was more complex (Fig. 2b). Between 4000 and 4550 m, the δ18O values decreased with increasing altitude, at –0.60% (100 m)–1; the mean value was –14.76%. However, both above and below this zone, the altitudinal change in δ18O values was in the reverse direction: they increased with increasing altitude. From 3200 to 4000 m, the gradient was 0.56% (100 m)–1 and the mean δ18O value was –15.38%. Between 4550 and 4900 m, the gradient was 0.44% (100 m)–1 and the mean δ18O value was –15.72%. The overall mean δ18O value of the residual snow deposited during the summer monsoon (–15.18%) was far lower than that of the snow deposited during the early stage of the winter monsoon (Table 1).

In July 2000, δ18O values of the melting snowpack below 4800 m decreased sharply with increasing altitude, at –1.11% (100 m)–1. Above 4800 m, however, they increased with altitude, at 1.73% (100 m)–1 (Fig. 2c).

δ18O values of meltwater samples collected on Yulong mountain in both winter and summer decreased with increasing altitude (Fig. 3), but with very different altitudinal gradients: –0.49% (100 m)–1 in winter and –3.33% (100 m)–1 in summer.

Fig. 3. Altitudinal variations of δ18O values of glacier meltwater at Yulong mountain, November 2002, (A) and of supraglacial melt-water below the equilibrium line on BG1, July 2000 (B).

The δ18O values of recently deposited new snow collected in July 2002 at the western branch of UG1 tended to decrease slightly with increasing elevation, although the apparent differences were close to the precision of the analyses (Fig. 4b); the mean value was –9.49%. However, the δ18O values of older melting snow at the eastern branch of the glacier (mean value –4.50%) varied in a more complex manner, with a general trend of decreasing values as altitude increased from 3800 m to 4000 m contrasting with an increase in values above 4000 m (Fig. 4a).

Fig. 4. Altitudinal variations of δ18O values of the melting residual snowpack on the eastern branch of UG1, August 2002, (A) and of new snow on the western branch of UG1, August 2002 (B).

The δ18O values of newly deposited snow collected at the Muztag mountain glacier in July 2002 were relatively high, with a mean value of –5.47%. The temperature on Muztag mountain, a non-monsoonal area, influences the isotopic composition of summer precipitation. The δ18O values decreased with increasing altitude (Fig. 5a), although the gradient (–0.23% (100 m)−1) over the 600 m altitudinal range within which samples were collected was relatively low. The δ18O value (–14.68%) of the glacier ice at 4600m and the mean δ18O value of supraglacial meltwater collected between 4300 and 4600m (–13.53%) were far lower than the δ18O value of recently deposited snow.

Fig. 5. Altitudinal variations of δ18O values of new snow on Muztag glacier, July 2002, (A) and of new snow on Samdain Kangsang mountain, July 2003 (B).

The δ18O values of the 12 samples of recently deposited snow collected between 5400 and 6700 m on Samdain Kangsang mountain in July 2003 were low, with a mean value of –19.83%. The values tended to be lower at lower altitudes (Fig. 5b).

Discussion

The isotopic composition of snow is a result of spatial and temporal variations of the depositional environment. However, the isotopic composition of a snow cover is also the result of both depositional and post-depositional processes (which are related to spatial and temporal variations). Deposition-related processes include moisture source area, air-mass trajectory between the source and site of precipitation, temperature, altitude and precipitation amount. Accumulated snow is subject to post-depositional processes including evaporation (especially at high elevation in clear-sky conditions), sublimation, ablation, meltwater percolation and drifting (Reference Ambach, Dansgaard, Eisner and MøllerAmbach and others, 1968; Reference Niewodniczaéski, Grabczak, Baranski and RzepkaNiewodniczaéski and others, 1981). Melting increases the δ18O values of the near-surface snow (Reference Cooper, Solis, Kane and HinzmanCooper and others, 1993; Reference Nikolayev and MikhalevNikolayev and Mikhalev, 1995), and the percolating water is heavy-isotope enriched (Reference TheakstoneTheakstone, 2003). Evaporation and sublimation also result in 18O enrichment of the surface snow, as there is a progressive loss of mass (Reference Stichler, Schotterer, Fröhlich, Ginot, Kull and GäggelerStichler and others, 2001). Drifting, which is particularly effective in dry snow (Reference SchlosserSchlosser, 1999) and tends to move snow from higher to lower altitudes, can be effective in removing the lighter isotopes. At high-altitude sites in Alaska, USA, and Argentina, altitudinal variations of δ18O values of snow reflected the influence of a multi-layered atmosphere during precipitation events: in the Saint Elias Mountains, Alaska, this structure is related to synoptic-scale polar-front cyclones, which contain moisture from two quite different air masses (Reference Holdsworth and KrouseHoldsworth and Krouse, 2002). Understanding of the above questions will help glaciologists and hydrologists to interpret the isotopic and climatic information in ice cores and glacial runoff in different areas.

Yulong mountain (temperate glacier)

The mean δ18O value of the new snow deposited on Yulong mountain by the winter monsoon in November 2002 (Table 1) was far higher than that of the older residual snow which had accumulated during the summer monsoon. The decrease in δ18O values of the new snow with increasing altitude (Fig. 2σ) was an evident ‘temperature effect’. The more complex altitudinal pattern of δ18O values of the old (residual) snow (Fig. 2b) may reflect both its precipitation history and subsequent changes. Precipitation on Yulong mountain is more frequent above approximately 3900 m than at lower altitudes, and the residual snow sampled between 3200 and 4900m was not deposited during a single event. The snow above 4000m was deposited only a few days before samples were collected, after the summer monsoon had ended. Between 4000 and 4550 m, the altitudinal gradient of the δ18O values (Fig. 2b) probably reflects the decrease in temperature with altitude during snow precipitation. However, the onset of winter at Yulong mountain in November 2002 was accompanied by sunny weather, and the clear-sky conditions must have caused evaporation by solar radiation in the highest parts of the snowpack. This process causes heavy-isotope enrichment (Gonfiantini, 1986), which is likely to have caused the reverse altitude effect of the δ18O values above 4550 m (Fig. 2b). However, the altitudinal variation of δ18O values in the old snow between 3200 and 4000 m requires a different interpretation. This snow was deposited during the summer monsoon and was melting when samples were collected in mid-November. Ablation increased with decreasing altitude and there was a corresponding increase in the amount of meltwater entering the snowpack. The snow at the lowest altitudes at which samples were collected may have contained meltwater which had originated at higher altitudes and was moving through the pack.

The variations of snowpack δ18O values on BG1 in July 2000 (Fig. 2c) reflect the summer climate. Below the ELA (4800 m), the intense ablation results in a rapid decrease in snow-cover thickness, and water passes rapidly through the thinning pack, leaving it progressively more enriched in 18O. While strong winds and air temperatures above 0˚C also cause melting above the equilibrium line, the melt rate decreases with increasing altitude, and the meltwater passes more slowly through the snowpack. The reverse altitude effect exhibited by δ18O values above 4800 m may result from the increase in water content of the snowpack with decreasing altitude.

The δ18O values of meltwater at BG1 increased with decreasing altitude, but the rate of decrease differed markedly between summer and winter (Fig. 3). This can be explained by the climatic difference between winter and summer. In winter, Yulong mountain is affected by the Mongolia high pressure and is dominated by the winter monsoon, resulting in dry weather and low precipitation. Melting is relatively slight. In summer, however, when the summer monsoon is dominant, the higher temperatures cause much melting of snow and ice. Meltwater flowing over the surface is subject to evaporation and, with increasing distance of flow and decreasing altitude, the effects of evaporation become progressively more pronounced. The resultant ‘flow-process effect’ on δ18O values of the meltwater (Fig. 3b) is much more intense than it is in winter (Fig. 3a), when the temperature, evaporation and isotopic fractionation are much lower and less intense.

Ürümqi glacier No. 1 (subpolar glacier)

<UG1, located in a region with an arid climate, receives less precipitation than does Yulong mountain, and the lower summer temperatures result in less ablation and less supraglacial meltwater than at BG1. Reference HouHou and others (1999) reported a significant relationship between temperature and the δ18O values of precipitation at the head of the Ürumqi river. About 90% of the precipitation fell during the summer half of the year, when δ18O values were high, with means of −7.15% in July and August 1981 and −7.13% in July and August 1995. The δ18O values of the snow which falls at UG1 in late winter are low, and early summer melting of this snow is followed by refreezing within the pack. Subsequent melting may cause runoff of older snow which was deposited in warmer conditions in early winter and has higher δ18O values. Reference HouHou and others (1999) noted that δ18O values of the residual pack remained low. In August 2002, δ18O values of new snow at the western branch of UG1 were high and displayed no significant altitude effect or temperature effect (Fig. 4). This may have been due to conditions at the time of precipitation. Changes in the direction of air movement during a storm, drifting of snow between altitudinal zones and snowfall from cloud covering the whole of the glacier in the sampled altitudinal zone may eliminate the altitude effect (Reference Niewodniczaéski, Grabczak, Baranski and RzepkaNiewodniczaéski and others, 1981). The residual snow at the eastern branch of UG1 was probably deposited in different precipitation events and had been subject to differing degrees of melting and post-depositional modification.

Muztag mountain (polar glacier)

The δ18O values of newly deposited snow at Muztag glacier were high, and within the 520 m of elevation sampled in July 2002 the range was small (Fig. 5). The absence of a pronounced altitude effect or temperature effect in this continental climate region (Fig. 5) may be the result of atmospheric conditions above 5000 m. The δ18O value (–14.68%) of the glacier ice at 4600m was far lower than that of the recently deposited snow, reflecting its formation at a much lower temperature than in July 2002: ice now exposed at the glacier surface at 4600 m, some 700–900 m below the ELA, is likely to have been formed from snow that accumulated at a much higher site. The δ18O values of the meltwater at 4600 m indicate that it was formed in part from winter-deposited snow with a higher 1 8O content than the glacier ice at that altitude (Fig. 5). The contribution of melting glacier ice to the meltwater sampled on Muztag glacier was significant, and the decrease in δ18O values of supraglacial meltwater with decreasing elevation reflects the increasing role of glacier ice in meltwater generation. The contrast with the pattern at Yulong mountain reflects the different intensities of ablation of snow and ice in the areas with temperate and polar glaciers.

Samdain Kangsang mountain (subpolar glacier)

The summer precipitation at Samdain Kangsang mountain in the Nyainqentanglha Shan is associated with the summer monsoon. The low δ18O values (Fig. 5) suggest there is a marked precipitation amount effect during the long passage of the southwest/India monsoon from the distant moisture source. At Lha-jung meteorological station (27˚54’ N; 4420 m a.s.l.) on the southern slopes of the Himalaya, precipitation during the summer monsoon season of 1975 was strongly depleted of the heavy isotope, indicating that the amount effect is the dominant control on the isotopic composition of precipitation during this part of the year (Reference WushikiWushiki, 1977). The altitudinal variation of δ18O values in the new snow above 6000 m on Samdain Kangsang mountain may be related to evaporation. At these altitudes, the water-vapor and aerosol content of the air is small, and absorption and dispersion of solar radiation is slight compared with the situation at lower altitude. The high radiation flux causes much evaporation from the snow surface, leading to 1 8O enrichment and a reverse altitude effect. This process cannot account for the somewhat similar pattern of δ18O values in the lower alpine area of Yulong mountain, where the altitudinal range of sampling was only 300 m and the differences in evaporation intensity from the surface snow are slight. On Samdain Kangsang mountain, the water content of new snow above 6000 m is low, as there is very little ablation. However, an increase in ablation with decreasing altitude towards 5500 m may result in a slight increase in water content, with a consequent increase in δ18O values.

Conclusions

The following conclusions can be drawn from the above analysis and discussion.

  1. 1. Stable isotopes in the snowpack in mountain regions are useful tracers of atmospheric conditions, reflecting both the temporal and the spatial variations of the local climate and isotopic fractionation during the phase changes between solid, liquid and vapor. Post-depositional processes, including those associated with meltwater flow, lead to additional stable-isotope changes. Stable-isotope data shed light on the differences in atmospheric precipitation (i.e. sources and amounts) and the depositional and post-depositional processes associated with snow and ice conditions in both temperate- and polar-glacier areas.

  2. 2. Altitudinal patterns of δ18O values which are present in summer in recently deposited snow differ between the temperate-glacier area, influenced by the monsoon, and the polar-glacier area which is not associated with the monsoon (Fig. 1). The δ18O values of new snow in the temperate-glacier area tend to decrease with increasing altitude in winter, the altitude effect being related to precipitation from local sources. In the polar-glacier area, snowfall from continental air masses in summer may produce a reverse altitude effect.

  3. 3. Principally because of post-depositional processes, the spatial pattern of δ18O variations in older melting snow is more complex, varying in different altitudinal zones, partly in relation to solar radiation and evaporation intensities, the rate or degree of melting and the water content of the snow. Prolongation of the period of ablation and evaporation increases the δ18O value of the residual snow, which therefore reflects local climate and weather conditions.

  4. 4. The δ18O values of meltwater formed from snow and ice tend to increase with decreasing altitude and increasing distance of flow in both temperate-glacier and polar-glacier regions. This results from the increasing contact of the flowing meltwater with meltwater in the residual snow, which is less depleted of 1 8O. The altitudinal gradient of the δ18O values is higher in summer than in winter, because of the higher temperature and greater evaporation.

  5. 5. The difference between the isotopic composition of newly deposited snow and that of melting residual snow is greater in the temperate-glacier area than in the polar-glacier area, because of greater ablation and meltwater percolation into the snow cover. Isotopic fractionation during the phase changes between solid (snow/ice) and liquid (meltwater) is more pronounced in the temperate-glacier area than in the polar-glacier area.

Acknowledgements

This work was supported by grants from the National Natural Science Foundation of China (90511007, 40501014 and 90302006), funding from CAREE, Chinese Academy of Sciences (2004102), the Hundred Talents Program of Chinese Academy of Sciences (2004401) and the project for Outstanding Young Scientists of the National Natural Science Foundation of China (40121101).

References

Ambach, W., Dansgaard, W., Eisner, H. and Møller, J.. 1968. The altitude effect on the isotopic composition of precipitation and glacier ice in the Alps. Tellus, 20(4), 595–600.CrossRefGoogle Scholar
Bradley, R.S., Vuille, M., Hardy, D. and Thompson, L.G.. 2003. Low latitude ice cores record Pacific sea surface temperatures. Geophys. Res. Lett., 30(4), 1174. (10.1029/2002GL016546.)CrossRefGoogle Scholar
Clark, I.D. and Fritz, P.. 1997. Environmental isotopes in hydro-geology. New York, CRC Lewis.Google Scholar
Cooper, L.W., Solis, C., Kane, D.L. and Hinzman, L.D.. 1993. Application of oxygen-18 tracer techniques to Arctic hydrological processes. Arct. Alp. Res., 25(3), 247–255.CrossRefGoogle Scholar
Dansgaard, W. 1964. Stable isotopes in precipitation. Tellus, 16(4), 436–468.CrossRefGoogle Scholar
Gonfiantini, R. 1986. Environmental isotopes in lake studies. In Fritz, P. and Fontes, J.C., eds. Handbook of environmental isotope geochemistry. Vol. 1. The terrestrial environment. Amsterdam, Elsevier Scientific, 113–168.Google Scholar
Grootes, P.M., Stuiver, M., Thompson, L.G. and Mosley-Thompson, E.. 1989. Oxygen isotope changes in tropical ice, Quelccaya, Peru. J. Geophys. Res., 94(D1), 1187–1194.CrossRefGoogle Scholar
He, Y. and Theakstone, W.H.. 1994. Climatic influence on the composition of snow cover at Austre Okstindbreen, Norway, 1989 and 1990. Ann. Glaciol., 19, 1–6.Google Scholar
He, Y., Yao, T., Cheng, G. and Yang, M.. 2001a. Climatic records in a firn core from an Alpine temperate glacier on Mt. Yulong, southeastern part of the Tibetan Plateau. Episodes, 24(1), 13–18.Google Scholar
He, Y., Theakstone, W.H., Shi, Y. and Yao, T.. 2001b. The isotopic record at an alpine glacier and its implications for local climatic changes and isotopic homogenization processes. J. Glaciol., 47(156), 147–151.Google Scholar
Holdsworth, G. and Krouse, H.R.. 2002. Altitudinal variation of the stable isotopes of snow in regions of high relief. J. Glaciol., 48(160), 31–41.CrossRefGoogle Scholar
Hou, S. and 6 others. 1999. Climatological significance of δ18O in precipitation and ice cores: a case study at the head of the Ürümqi river, Tien Shan, China. J. Glaciol., 45(151), 517–523.Google Scholar
Ingraham, N.L. 1998. Isotopic variations in precipitation. In Kendall, C. and McDonnell, J.J., eds. Isotope tracers in catchment hydrology. Amsterdam, Elsevier Science BV, 87–118.CrossRefGoogle Scholar
Johnson, K.R. and Ingram, B.L.. 2004. Spatial and temporal variability in the stable isotope systematics of modern precipitation in China: implications for paleoclimate reconstructions. Earth Planet. Sci. Lett., 220(3–4), 365–377.CrossRefGoogle Scholar
Moser, H. and Stichler, W.. 1980. Environmental isotopes in ice and snow. In Fritz, P. and Fonte, J.C., eds. Handbook of environmental isotope geochemistry. Amsterdam, Elsevier Publishing Co., 141–178.Google Scholar
Niewodniczaéski, J., Grabczak, J., Baranski, L. and Rzepka, J.. 1981. The altitude effect on the isotopic composition of snow in high mountains. J. Glaciol., 27(95), 99–111.Google Scholar
Nikolayev, V.I. and Mikhalev, D.V.. 1995. An oxygen-isotope paleothermometer from ice in Siberian permafrost. Quat. Res., 43, 14–21.Google Scholar
Raben, P. and Theakstone, W.H.. 1998. Changes of ionic and oxygen isotopic composition of the snowpack at the glacier Austre Okstindbreen, Norway, 1995. Nord. Hydrol., 29(1), 1–20.CrossRefGoogle Scholar
Schlosser, E. 1999. Effects of seasonal variability of accumulation on yearly mean δ18O values in Antarctic snow. J. Glaciol., 45(151), 463–468.CrossRefGoogle Scholar
Shi, Y. and Xie, Z.. 1964. Basic characteristics of the existing glaciers in China. Acta Geographica Sinica, 30(3), 183–208. [In Chinese with Russian abstract.]Google Scholar
Shi, Y., Huang, M. and Ren, B.. 1988. An introduction to the glaciers in China. Beijing, Science Press. [In chinese.]Google Scholar
Shi, Y., Huang, M., Yao, T. and Deng, Y.X., eds. 2000. Glaciers and their environments in China: the present, past and future. Beijing, Science Press. [In Chinese.]Google Scholar
Stichler, W., Schotterer, U., Fröhlich, K., Ginot, P., Kull, C. and Gäggeler, H.W.. 2001. The influence of sublimation on stable isotope records recovered from high altitude glaciers in the tropical Andes. J. Geophys. Res., 106(D19), 22,613–22,620.CrossRefGoogle Scholar
Su, Z. and Li, J., eds. 1996. Glaciers in Hengduanshan Range. Beijing, Science Press. [In Chinese with English summary.]Google Scholar
Theakstone, W.H. 1988. Temporal variations of isotopic composition of glacier-river water during summer: observations at Austre Okstindbreen, Okstindan, Norway. J. Glaciol., 34(118), 309–317.CrossRefGoogle Scholar
Theakstone, W.H. 2003. Oxygen isotopes in glacier-river water, Austre Okstindbreen, Okstindan, Norway. J. Glaciol., 49(165), 282–298.CrossRefGoogle Scholar
Theakstone, W.H. and Knudsen, N.T.. 1989. Temporal changes of glacier hydrological systems indicated by isotopic and related observations at Austre Okstindbreen, Okstindan, Norway, 1976– 87. Ann. Glaciol., 13, 252–256.Google Scholar
Theakstone, W.H. and Knudsen, N.T.. 1996. Oxygen isotope and ionic concentrations in glacier river water: multi-year observations in the Austre Okstindbreen basin, Norway. Nord. Hydrol., 27(2), 101–116.CrossRefGoogle Scholar
Thompson, L.G. and 11 others. 1998. A 25,000-year tropical climate history from Bolivian ice cores. Science, 282(5395), 1858–1864.CrossRefGoogle ScholarPubMed
Tian, L., Yao, T.D. and Pu, J.C.. 1997. Characteristics of δ1 8O in summer precipitation at Lhasa. J. Glaciol. Geocryol., 19(4), 295–301. [In Chinese with English summary.]Google Scholar
Tian, L.D., Yao, T.D., Numaguti, A. and Sun, W.. 2001. Stable isotope variations in monsoon precipitation on the Tibetan Plateau. J. Meteorol. Soc. Jpn, 79(5), 959–966.CrossRefGoogle Scholar
Tian, L.D., Yao, T.D. and Schuste, P.F.. 2003. Oxygen-18 concentrations in recent precipitation and ice cores on the Tibetan Plateau. J. Geophys. Res., 108(D9), 4293–4302. (10.1029/ 2002JD002173.)Google Scholar
Wagenbach, D. 1989. Environmental records in alpine glaciers. In Oeschger, H. and Langway, C.C. Jr, eds. The environmental record in glaciers and ice sheets. Chichester, etc., John Wiley and Sons, 69–83.Google Scholar
Wushiki, H. 1977. Deuterium content in the Himalayan precipitation at Khumbu District, observed in 1974/1975. J. Jpn. Soc. Snow and Ice, Seppyo, 39, 50–56.Google Scholar
Zhang, X.P. and Yao, T.D.. 1995. The relationship between the weather system influencing Tibet Plateau and the oxygen isotope of precipitation. J. Glaciol. Geocryol., 17, 125–131. [In Chinese with English summary.]Google Scholar
Zhang, X.P., Nakawo, M. and Fujita, K.. 2001. The variation of precipitation δ18O in Langtang Valley, Himalayas. Science in China, D31, 206–213.Google Scholar
Figure 0

Fig. 1. Sampling sites and areas with different types of glacier in western China: A. temperate-glacier area; B. subpolar-glacier area; C. polar-glacier area.

Figure 1

Fig. 2. (σ) Variation of δ18O values with altitude in the new snowpack at Yulong mountain, 26 November 2002. (b) Variation of δ18O values with altitude in the melting residual snowpack at Yulong mountain, 15 November 2002. (c) Variation of δ18O values with altitude in the melting snowpack at Yulong mountain, July 2000.

Figure 2

Table 1. Maximum, mean and minimum δ18O values of samples of new snow, old (residual) snow and meltwater collected at Yulong mountain in November 2002, and δ18O values of meltwater samples collected in July 2000. n is the number of samples

Figure 3

Fig. 3. Altitudinal variations of δ18O values of glacier meltwater at Yulong mountain, November 2002, (A) and of supraglacial melt-water below the equilibrium line on BG1, July 2000 (B).

Figure 4

Fig. 4. Altitudinal variations of δ18O values of the melting residual snowpack on the eastern branch of UG1, August 2002, (A) and of new snow on the western branch of UG1, August 2002 (B).

Figure 5

Fig. 5. Altitudinal variations of δ18O values of new snow on Muztag glacier, July 2002, (A) and of new snow on Samdain Kangsang mountain, July 2003 (B).