Introduction
Extensive studies have been made on alpine glacier variations in high Asia over the last few decades (e.g. Mayewski and Jeschke, 1979; Reference FujitaFujita and others, 2006), and revealed that glacial retreat has occurred widely and asynchronously across the Tibetan Plateau. Under a warmer climate in the future, melting of glaciers will be accelerated in continental regions (Reference DyurgerovDyurgerov, 2002). As a result, the hydrological systems may be altered significantly; such hydrological events as floods from glacier lakes may cause hazards in mountain regions. Basins located in different regions will experience different impacts of variability in the climate (Reference Chiew, Whetton and McMahonChiew and others, 1995). Studying spatial and temporal covariations of glaciers and lakes will help us understand the impact of climate change within a basin in Tibet (Reference Shi and RenShi and Ren, 1990).
The Yamzhog Yumco (‘co’ is the Tibetan word for ‘lake’) is the largest existing inland lake (Reference LiuLiu, 1995) on the northern foot of the Himalaya in southern Tibet (Fig. 1), located in Nagarzê county at more than 4400ma.s.l. Terraces on the lake shore are well developed, indicating a larger lake area in the past. There are many lakes around the Yamzhog Yumco, constituting a closed drainage basin (hereafter referred to as the Yamzhog basin) with an area of 8840 km2. The average annual precipitation was 373 mm at Nagarzê station (4432ma.s.l. in the northwest of Yamzhog basin) during 1961–75 (Reference GuanGuan and others, 1984). This paper presents areal variations of glaciers and lakes in the Yamzhog basin by means of geographical information system (GIS) and remote-sensing (RS) techniques in order to provide some ideas about the impact of climate change on glaciers and lakes in high-altitude basins on the Tibetan Plateau.
Methodology
We use four scenes of Landsat images of 137/40 and 138/40 path/row, including Thematic Mapper (TM) on 1 November 1988 and 14 November 1990 (1988/90), i.e. a mosaic image of 2 years to cover the entire basin, and Enhanced TM Plus (ETM+) on 17 November and 28 December 2000. We also use topographic maps at a 1:50 000 scale (about ±25 m accuracy) in 1980 and available digital elevation model (DEM) data (DEM25, cell size: 100m ) which come from digitization of the 1: 250 000 topographic map with contour interval of 100m to ortho-rectify all the digital satellite images. The accuracy of ortho-rectification is within one image pixel. The co-registration errors for all ortho-images to the 1:50 000 scale topographic maps were within one image pixel, i.e. 25 m. Glaciers and lakes on the 1:50 000 scale topographic maps and sequential Landsat images were mapped in the false-color image by on-screen digitizing with manual delineation using Arc/Info software. The accuracy of manual digitization was controlled within one pixel. Changes in the extent of glacier/lakes in the Yamzhog basin were measured with an uncertainty of ±0.015 km2. For detailed methods of analyses and error estimates, refer to Reference Ye, Kang and ChenYe and others (2006b).
It should be noted that all images used were taken in winter (November or December). However, because there was very little winter precipitation in the basin (the average winter precipitation was about 5 mm at Nagarzê station during 1980–2000), there was no substantial seasonal snow cover present to affect the image interpretation.
Results
Calculating glacier and lake areas from classification of digital images in the Yamzhog basin from 1980 to 2000, we determined that the total glacier and lake areas in 1980 were 218 km2 and 1072 km2, or 2.5% and 12.1% of the total basin area, respectively. Changes in area of glaciers and lakes from 1980 to 2000, determined using the hybrid-grid method (Reference Ye, Kang and ChenYe and others, 2006b), are summarized in Table 1 and Figure 2. The total glacier recession was about 3 km2 (or 0.15 km2 a–1 on average), and no advancing glaciers were recognized in the basin during this period. Glacier recession accelerated from 0.11 km2 a–1 in the 1980s to 0.18 km2 a–1 in the 1990s (Table 1).
Lake variations in the the Yamzhog basin in the last 20 years were more complicated than glacier variations. From the data shown in Table 1, we know that the lake area decreased by 67.39 km2 in total (from 1980 to 1988/90 with lake shrinkage amounting to 76.02 km2 and lake growth to 9.63 km2), then it increased by 31.58 km2 in total (from 1988/90 to 2000 with lake shrinkage amounting to 11.13 km2 and lake growth to 42.71 km2). About 32.58 km2 of lake area (about 3.0% of the total lake area in the basin) disappeared during 1980–90 but re-emerged during 1990–2000. It seems that reduction in lake area had greatly decreased (from 4.34 km2 a–1 in the 1980s to 0.71 km2 a–1 in the 1990s) while enlargement rate increased by a factor of almost two (from 0.51 km2 a–1 in the 1980s to 1.01 km2 a–1 in the 1990s). Although lake enlargement in the 1990s did not compensate for the lake reduction in the 1980s, the enlargement trend seems to be in accordance with continuously accelerating glacier recessions in the basin.
Discussion and Conclusions
We now examine glacier and lake variations in the context of meteorological data from Nagarzê; station during 1980–2000. Figure 3a and b show time series of average summer air temperature (for April through October where monthly mean temperature is above 0°C) and the annual precipitation in the basin (P a ). It is noted that the temperature shows a slight increasing trend and the precipitation a clear increasing trend since 1980.
The hydrological factors involved in lake changes are potentially quite complicated. The water balance of the lake can be described as
where ΔW is the change of water stored in the lake, P is annual lake precipitation, E is annual lake evaporation (Fig. 3c), which was obtained by multiplying annual evaporation rate measured daily with a 20 cm evaporation pan, by a factor of 0.6, R is the runoff entering the lake consisting of Rg (i.e. runoff from glacier melting) and Ra (i.e. runoff from precipitation, roughly estimated by Ra = P a –E a ) and δ is a factor due to the other effects (e.g. melting water from frozen grounds, human activities, etc.). Actual terrestrial evapotranspiration of the basin (E a , Fig. 3d) is calculated using P a , and potential evapotranspiration in the basin (ET) by the Bagrov model (Reference BagrovBagrov, 1953). Owing to the data availability in the study area, we assume P a = P and ET = E. Units of all parameters in Equations (1) and (2) are mm.
Figure 3e indicates that, during the past two decades, P – E (i.e. vertical water flux) for all lakes tended to increase from about –905 mm in the 1980s to –815 mm in the 1990s as a result of an increase in precipitation Fig. 3b) and a slight decrease in lake evaporation (Fig. 3c). As shown in Figure 3f, the annual runoff from precipitation (Ra ) increased from an average of about 8 mm in the 1980s to 14 mm in the 1990s, and it reached 26 mm in 2000.
According to Equation (2), the melting of glaciers may also contribute to changes in the lakes because of increasing runoff from glaciers (Rg). In the Yamzhog basin, the glacier area occupies less than 2.5% and did not change much from 1980 to 2000 (Table 1), so it seems unlikely to have been the primary reason for such a great change in the lake area in the basin (the lake occupies 12% area in the basin). However, it should be noted that the effects of glacier recession on lake changes may manifest differently because of the different lake locations and sizes. For smaller lakes near to the glaciers, glacier recessions may result in more obvious changes in lake area than they do for larger lakes far from the glaciers. This contention was supported by our results shown in Figure 2, where some western smaller lakes tended to enlarge corresponding to more remarkable glacier recessions at the terminus in the western part of the Yamzhog basin. The lake area decreased in the east of the basin, where some smaller lakes have totally disappeared.
Therefore, the lake decrease in the Yamzhog basin in the 1980s was most likely due to the larger negative value of P – E and the decreased value of R a , whereas the enlargements of lakes in the 1990s may have resulted from the less negative P – E and increased Ra along with the effect of water from enhanced melting of glaciers (Rg ). Despite the observations above, the precise reasons for lake shrinkage in the Yamzhog basin have not yet been identified quantitatively because of the shortage of regional in situ hydrological data for the study of water balance in the basin (e.g. runoff from melting glaciers, water-level variations of lakes, etc.). Our work has focused on variations in area of glaciers and lakes, and (owing to lack of bathymetric data) did not include variations in either lake level or glacier-surface elevation, which would be necessary to extract the information on ice volume and water mass variations.
Our results show that both glacier and lake areas in the Yamzhog basin decreased from 1980 to 2000. Decreases in glacier area during the two decades were not significant; lake areas shrank by 67 km2 in the 1980s, while almost half of that (33 km2, about 3% of the total lake area in the basin) reemerged in the 1990s. This finding indicates that the lake changes occur over a wider range and more rapidly than the glacier changes. The 1.36% (or 0.07%a–1) decrease in glacier area in this basin was not dramatic compared with the 0.18% a–1 mean glacier recession across China since the 1960s (Reference Yao, Wang, Liu and PuYao and others, 2004) and the 0.31% a–1 mean glacier recession in the Naimona’nyi region of the western Himalaya during 1976–2003 (Reference Ye, Yao, Kang and ChenYe and others, 2006a).
Acknowledgements
This work was jointly supported by Chinese National Basic Research Program (grant No. 2005CB422002), the National Natural Sciences Foundation of China (grant No. 40331006, 40571172, 40601056), Knowledge Innovation Project of Chinese Academy of Sciences (CAS; KZCX3-SW-339), the innovative project of the Institute of Geographical Sciences and Natural Resources Research, CAS (CXIOG-A04-03), Opening Fund projects of State Key Laboratory of Remote Sensing Science in the Institute of Remote Sensing Applications and the ‘Talent Project’ of CAS. We thank Jinghua Wang and Qinglong You for data digitizing and collections, M. Dyurgerov, an anonymous reviewer and the Scientific Editor J. Walder for helpful comments on the manuscript.