This study presented a study of seasonal variations of major ion concentrations in fresh snow on Baishui Glacier No. 1, the largest glacier on Yulong Mountain, China. Fresh snow samples at Baishui Glacier No. 1 were collected from November 2008 to October 2009 for chemical data analysis. The results showed that the neutralizing effect of terrestrial source aerosols raised the pH value of fresh snow. The conductivity of fresh snow was much higher in dry season than that in rainy season. It was evident that the concentration of inorganic ions was generally higher in the dry season than that in rainy season, and the highest values occurred in the pre-monsoon period (April–May). The ions of fresh snow mainly came from terrestrial under the influence of west wind circulation and the Plateau monsoon in dry seasons, and had much complex sources in rainy season under the control of southeast and southwest monsoons. Both wind speed and precipitation had potential effects on ion concentration and composition of fresh snow as well. Moreover, principal component analysis showed that fresh snow ions were mainly from local lithology in dry season and from oceans in rainy season.
Introduction
Situated along the eastern margin of the Tibetan Plateau, Yulong Mountain covers about 13 km from west to east and 35 km from south to north; the peak is 5,596 m. During summer, precipitation in the Yulong Mountain region is caused mainly by moisture transported by the Indian monsoon and/or by local moisture from short distance convective air mass transport, and moisture is transported by the westerly system during winter and spring (October–May) (Stravisi et al. 1998; Thompson et al. 2000a, b). The area has a mean annual temperature of about −3.7 °C. The annual precipitation is high (1,000–3,000 mm) and the snowline is at 4,200–5,200 m a.s.l (Li and Su 1996).
Fresh snow on the glaciers is influenced by monsoons. The markedly different trajectories of the air masses in summer and winter, which are responsible for snow deposition, result in very different snowpack chemistries (Li et al. 2008a, b, 2009). Studies of glacio-chemistry in Yulong Snow Mountain can provide a valuable record of atmospheric circulation (He et al. 2001a, b, 2002a, b, 2003; Pang et al. 2007; Thompson et al. 2000a, b). Dating accuracy is essential to the reconstruction of ice core climatic records and primary dating method is the measurement of seasonal variations in chemical species (Thompson et al. 2000a, b). To validate seasonal timing of chemical species, it is necessary to establish input timing. However, due to the severe weather in winter and the difficult logistics encountered in the high regions of the Yulong Mountain, continuous yearly precipitation sampling is difficult to launch. Few studies of snow chemistry on these glaciers have been carried out (Li et al. 2008b).
Anzeige
In this study, fresh snow samples were collected during November 2008 to October 2009 in the Baishui Glacier No. 1 (Fig. 1), which is located on the east slope of Yulong Mountain, with three main aims: (1) to examine seasonal variations of major ion concentrations of fresh snow; (2) to investigate the influences of monsoon and other controlling factors/mechanisms on snow chemistry; (3) to accumulate data for further study on atmospheric environment and environmental records.
Fig. 1
Baishui Glacier No. 1
×
Sample collection and analysis
A total of 36 fresh snow samples were collected on the Baishui Glacier No. 1 on the eastern slope of Yulong Mountain (Fig. 1). The interval from snowing to sampling is less than 24 h and the snow surface is clean, with elimination of surface snow 2 cm by stainless steel ice shovel and fresh snow distribute in 3–5 cm were collected (Mayewski 1986; Wake et al. 1993, 1994). Polyethylene gloves and masks were worn at all times during sampling. Rewashed high-density polyethylene containers were used as sample scoops. Samples were kept frozen during transportation and stored in a −15 °C cold-chamber the State Key Laboratory of Cryospheric Science, Cold and Arid Regions Environment and Engineering Research Institute, Chinese Academy of Sciences. Analysis of duplicate samples in the field and laboratory blanks indicated that sample contamination can be negligible during sample collection, transport, and analytical procedures.
With a PHS-3B electrode the pH was analyzed, the standard deviation is <±0.01; conductivity was analyzed with DDS-308A conductivity meter and the standard deviation is <±0.1 μs/cm; cations (K+, Na+, Ca2+, Mg2+) were analyzed with a DX320 ion chromatograph, and anions were analyzed (Cl−, NO3−, SO42−) with a ICS1500 ion chromatograph. The analytical standard deviation is <5 %. The monthly mean of 25 storm events results were shown in Table 1.
Table 1
The ions concentration of fresh snow in Baishui No. 1 Glacier (unit: μeq/L)
Time
Cl−
NO2−
NO3−
SO42−
Na+
NH4+
K+
Mg2+
Ca2+
Precipitation
Temperature
Σcat/Σan
2008-11-18
0.9
0.0
1.9
7.6
0.8
0.2
0.6
0.2
12.9
24.1
−4.0
1.4
2008-12-15
1.5
0.1
10.3
31.0
0.4
0.4
0.7
11.0
624.2
8.5
−5.4
14.9
2009-01-20
2.1
0.0
16.8
24.8
0.6
0.0
0.9
11.4
1,007.3
4.5
−7.4
23.3
2009-02-18
1.0
0.1
4.8
19.6
0.4
0.3
0.5
3.9
217.3
5.6
−6.6
8.7
2009-03-16
0.9
0.1
3.7
16.7
0.3
0.3
0.4
2.7
149.6
22.7
−6.1
7.2
2009-04-20
4.6
0.1
42.1
270.8
1.6
7.4
4.2
3.7
117.3
35.6
−1.8
0.4
2009-05-18
3.1
0.1
6.7
26.3
1.8
0.8
1.6
2.2
37.8
128.5
1.6
1.2
2009-06-18
0.6
0.1
1.8
14.0
0.0
0.2
0.3
0.4
14.4
408.2
3.8
0.9
2009-07-18
0.4
0.1
1.6
12.0
0.1
0.0
0.3
2.2
44.0
452.7
5.2
3.3
2009-08-19
0.4
0.0
5.8
13.8
0.0
0.1
0.2
1.2
13.7
388.1
4.3
0.8
2009-09-20
0.5
0.0
4.6
26.2
0.0
0.6
0.5
2.8
41.7
178.3
3.4
1.5
2009-10-20
1.1
0.1
22.3
84.9
0.0
0.8
0.9
18.4
493.3
133.7
0.9
4.7
Dry season
1.8
0.1
13.3
61.7
0.7
1.4
1.2
5.5
354.8
16.8
−5.2
9.3
Rainy season
1.0
0.1
7.1
29.5
0.3
0.4
0.6
4.5
107.5
281.6
3.2
2.1
Annual
1.4
0.1
10.2
45.6
0.5
0.9
0.9
5.0
231.1
149.2
−1.3
5.7
The data of precipitation and temperature in Baishui Glacier No. 1 were collected by automatic weather stations (AWS, Campbell Company) located in 4,300 m. Glacier terminal, glacier balance line and the ice temperature data had been measured by members of State Key Laboratory of Cryosphere Sciences.
Anzeige
Trajectory analyses and sea-salt tracer
Back-trajectory analysis has been widely applied in the field of atmospheric and glaciological sciences (Kahl et al. 1997; Li et al. 2009; Raben et al. 2000; Theakstone 2008). The Hybrid Single-Particle Lagrangian Integrated Trajectory model, HYSPLIT4 [Air Resources Laboratory, US National Oceanic and Atmospheric Administration (NOAA, http://www.arl.noaa.gov/ready/hysplit4.html), were used to compute back-trajectories to Baishui No. 1 Glacier (27.338N, 100.258E; 4,500–5,500 m a.s.l.]. The compromise of 5-day back-trajectories with a daily resolution was adopted to simulate the routes of air masses arriving at the sampling site.
Results
pH and conductivity
All pH values of fresh snow collected in Baishui Glacier No. 1 (36 samples) were within the range of 6.27–7.01 (averaging 6.60). The values ranged from 6.41 to 6.82 (averaging 6.59) in rainy season and 6.31 to 6.95 (averaging 6.61) in dry season, which were higher than 5.6, indicating that fresh snow was free of acid pollution from human activities. In addition, the neutralization effects of associated carbonates and bicarbonates were strong. Research had showed that the buffering of aerosol would be heightened with the concentration of Ca2+ increased (Hu et al. 2005; Zhao et al. 1985; Zhou et al. 2009). The major inorganic ions in fresh snow were Ca2+, Mg2+, SO42−, NO3− and NH4+. Atmospheric mineral particles (including Ca2+, Mg2+ and other cations) and NH3 had neutralized reaction with SO42− and NO3−. The ratio of Ca2+/(SO42− + NO3−) in fresh snow was 1.99 in rainy season and 8.35 in dry season (Fig. 2), indicating that Ca2+ can neutralize acidic ions effectively.
Fig. 2
Relation among Ca2+ and pH; pH conductivity and precipitation from November 2008 to October 2009
×
Conductivity is an important indicator of solution chemical property (Barrie et al. 1985; Hempel et al. 2000; Hammer 1980; Taylor et al. 1993; Wolff et al. 1995). The conductivity of fresh snow was within the range of 4.29–15.41 μs cm−1 (averaging 11.56 μs cm−1) in dry season and 1.52–12.2 μs cm−1 (4.56 μs cm−1) in rainy season. The values were much higher in dry season than in rainy season. The conductivity increased while the precipitation decreased (Fig. 2). Relatively high impurity contents in aerosol have been found in dry season, little precipitation led to high impurity contents in precipitation and resulted in the higher values of conductivity in fresh snow. The conductivity of snow collected from June to September was low with minor fluctuation (Fig. 2), which indicated that during the period the surface fresh snow on Baishui Glacier No. 1 was relatively clean and could be seen as the background level of summer precipitation in Yulong Mountain area.
Major ions and ion balance
In dry season, SO42− ranked first in the anion concentration with a mean value of 61.7 μeq/L, followed by NO3− with a mean value of 13.3 μeq/L. All these different anions were ordered from high to low as SO42− > NO3− > Cl− > NO2−. Ca2+ ranked first in the cation concentration with a mean 354.8 μeq/L, followed by Mg2+. All of the different cations were ordered from high to low as Ca2+ > Mg2+ > NH4+ > K+ > Na+. The concentration of ions decreased significantly from November to March in the following year except Mg2+ and Ca2+. In rainy season, the most abundant anions were SO42− and NO3− with the mean value of 29.51 and 7.11 μeq/L, respectively, and the anions concentration had the same sequence in dry and rainy season. All the different cations were ordered from high to low as Ca2+ > Mg2+ > K+ > Na+ > NH4+.
The ideal state of ion balance is: Σcations = Σanions. Σcations = [Ca2+] + [Mg2+] + [Na+] + [K+] + [NH4+], Σanions = [SO42−] + [NO3−] + [Cl−] + [X], where X stands for other mild acid ion. The World Meteorological Organization employs the value of Σ−/Σ+ as the evaluation metric of ion balance, if the value of Σ−/Σ+ with the range of 1 ± 0.2, the ions were in balance, otherwise would be in imbalance (Wang 2002). The result of this study showed the cation concentration of fresh snow was 9.32 times as high as the anion concentration in dry season and 2.07 times in rainy season. Cation was excessive, which meant high concentration mild acid exited for ion balance. According to Kulshrestha et al.’s (2003) formula [HCO3−] = 10−11.2+pH (5 < pH < 7.5; assumes the CO2 balance in precipitation and atmospheric), the concentration of HCO3− was 25.70 μeq/L in dry season and 24.58 μeq/L in rainy season. There should be a certain amount of CO32− existing in the acidic environment, meanwhile gradient elution method showed there were micro formic acid in fresh snow without other organic acids, indicating that it was HCO3−, CO3− and micro formic acid maintained the balance with excess cation.
Seasonal variation of major ions
The chemical character of wet deposition changes with climate and environment. The chemical record of the snow can reflect the information of seasonal changes of climate and environment. It was evident that the concentration of inorganic ions was generally higher in the dry season than that in the rainy season, while the highest concentration occurred in pre-monsoon period (April–May; Fig. 3).
Fig. 3
Seasonal variation of major ions concentration
×
Back-trajectory analysis showed that the southeast and southwest monsoons brought excessive Na+, Cl–, K+, NO3− and SO42− to Baishui Glacier No. 1 when they arrived during April–May (Fig. 4), which led to high concentrations of these ions in the fresh snow of the pre-monsoon season in particularly. The rainy season began from May in Yulong Mountain area and the leaching of precipitation led to lower ion concentration in the season compared with that in dry season. Ion concentration stayed at low levels during June–October. In dry season, back-trajectory analysis showed that the ions of fresh snow in dry seasons mainly came from terrestrial under the influence of west wind circulation and the Plateau monsoon, and wind speed would reach its peak from December to February of the following year. The analysis also indicated that strong wind and the lack of rain in dry season brought a large number of dusts into the local atmosphere and existed for a long time in the form of aerosols. Moreover, terrestrial dust had been input into the study area constantly by the plateau monsoon and west wind circulation. In the process of the strong local atmospheric motion and vapor transpiration, a large number of weathered material from igneous or metamorphic rocks, such as feldspar, mica and other substances, got into atmosphere and then returned to the surface in the form of wet and dry deposition, which resulted in higher ion concentration of fresh snow in dry season (Kang et al. 2000; Pang et al. 2005).
Fig. 4
The backward trajectories model in dry season at Yulong Mountain
×
Discussion
Ion correlation and different sources in the fresh snow
Correlation analysis suggested that the correlation of ions in dry season was stronger than that in rainy season (Table 2), indicating stronger consistency of ion source, chemical changes and migration in dry season. These ions correlated positively with precipitation and wind speed, but the correlation of ion and wind speed was weaker than the correlation of ion and precipitation in the dry season. Because there were less precipitation events in dry season in Yulong Snow Mountain area, a large number of atmospheric aerosol can be attached to the water vapor and landing in the glacier surface. Significant positive correlation was observed among Cl−, NO3−, SO42−, NH4+ and K+ (r > 0.900, P < 0.01) (Table 2), which had some connection with human activities (Chen 2006; Geng et al. 2007; Gao et al. 2008; Ju et al. 2008; Li et al. 2007; Xiao et al. 1993; Zhang et al. 2007, 2008). Significant positive correlation was observed between NH4+ and K+ (r > 0.900, P < 0.01) (Table 2), which greatly influenced by biomass burning and a variety of farmyard manure from agricultural activities surrounding the Yulong Mountain (Chen 2006; Gao et al. 2008; Zhao et al. 2008). The significant positive correlations between NO3− and SO42−(r > 0.900, P < 0.01) (Table 2), which were mainly from the burning of fossil fuel, suggested their consistent source and form of existence (Ju et al. 2008; Li et al. 2007); Na+ and K+, which were mainly contributed by igneous or metamorphic rocks, such as albite, feldspar and mica, had significant positive correlation (r > 0.900, P < 0.01). It had been reported that part of Cl− originated from soil dust and salt lakes (Gao et al. 2008; Geng et al. 2007; Ju et al. 2008; Xiao et al. 1993). However, the correlation analysis showed that Cl− was not significantly related to Mg2+ and Ca2+ (r > 0.900, P < 0.01) (Table 2), which originated from the soil dust and salt lakes partly, indicating that the source of Cl− was more complex than others in dry season. Mg2+ and Ca2+ had significant positive correlation(r > 0.900, P < 0.01) but had no significant correlation with other ions (Table 2). Mg2+ and Ca2+ were mainly contributed by weathered material of carbonate, evaporation of salts (e.g., gypsum) and alkaline earth metals (Gao et al. 2008; Geng et al. 2007; Ju et al. 2008; Xiao et al. 1993).
Table 2
Correlation analysis of ions in dry season
Cl−
NO2−
NO3−
SO42−
Na+
NH4+
K+
Mg2+
Ca2+
Pre
Wind
Cl−
1
NO2−
0.180
1
NO3−
0.998**
0.200
1
SO42−
0.960**
0.344
0.951**
1
Na+
0.893*
−0.027
0.867*
0.912*
1
NH4+
0.936**
0.353
0.924**
0.997**
0.918**
1
K+
0.974**
0.246
0.964**
0.995**
0.942**
0.989**
1
Mg2+
0.110
−0.053
0.152
−0.119
−0.250
−0.198
−0.099
1
Ca2+
0.019
−0.314
0.058
−0.247
−0.293
−0.325
−0.205
0.946**
1
Precipitation
0.539
0.156
0.504
0.691
0.738
0.737
0.682
−0.653
−0.703
1
Wind
0.279
0.466
0.292
0.372
0.156
0.382
0.321
−0.344
−0.307
0.324
1
** Correlation is significant at the 0.01 level (2-tailed), * correlation is significant at the 0.05 level (2-tailed)
Back-trajectory analysis showed that the southeast and southwest monsoons affected the area greatly while the effect of westerly monsoon circulation and plateau monsoon was very weak in rainy season (Fig. 5). The correlations among ions in rainy season were weaker than those in dry season (Tables 2, 3), indicating the ion source was more complex in rainy season. Because the water vapor of the study area was mainly originated from the ocean, and in the rainy season, precipitation accounted for 90 % of the total annual precipitation (Li and Su 1996). The results of sea-salt tracer showed that non-marine source mean ratio of Cl−, SO42−, Na+, K+, Mg2+ and Ca2+ was 29.07, 33.54, 11.26, 4.64, 59.51 and 79.43 % in rainy season. Thus, it can be seen that the ions except Mg2+ and Ca2+ in rainy season at Baishui Glacier No. 1 mainly originated from the ocean. Cl− had positive correlations with Na+ and K+ in rainy season (r > 0.900, P < 0.01) (Table 3), which were sea-source. Significant positive correlation was observed among NO3− and SO42− in rainy season (r > 0.900, P < 0.01) (Table 3). The two ions mainly originated from local human activities of industries, transportation, etc. In addition, human industry activities should not be negligible in the areas where monsoon had passed (Li et al. 2007). All the ions negatively related with precipitation in rainy season (Table 3), led to low concentration of fresh snow by the continuous leaching of frequent precipitation in rainy season.
Fig. 5
The backward trajectories model in rainy season at Yulong Mountain
Table 3
Correlation analysis of ions in rainy season
Cl−
NO2−
NO3−
SO42−
Na+
NH4+
K+
Mg2+
Ca2+
Pre
Wind
Cl−
1
NO2−
0.417
1
NO3−
0.200
0.194
1
SO42−
0.181
0.265
0.977**
1
Na+
0.962**
0.337
−0.048
−0.075
1
NH4+
0.674
0.143
0.653
0.698
0.495
1
K+
0.963**
0.410
0.395
0.401
0.876*
0.826*
1
Mg2+
0.067
0.287
0.966**
0.984**
−0.178
0.570
0.288
1
Ca2+
0.057
0.326
0.961**
0.979**
−0.191
0.544
0.270
0.998**
1
Precipitation
−0.635
−0.008
−0.636
−0.669
−0.473
−0.987**
−0.794
−0.543
−0.508
1
Wind
0.971**
0.537
0.285
0.271
0.891*
0.675
0.936**
0.158
0.162
−0.604
1
** Correlation is significant at the 0.01 level (2-tailed), * correlation is significant at the 0.05 level (2-tailed)
×
The main control factor of ion composition of fresh snow
In the dry season (Table 4), the first principal component was greatly influenced by Cl−, NO3−, SO42−, Na+, K+ and NH4+, and accumulative total of variance is 65.1 %, with Cl−, NO3−, SO42− and NH4+ mainly from human activity in regions near the Yulong mountains, while Na+ and K+ were from the bedrock. The second principal component is greatly influenced by Mg2+ and Ca2+, and accumulative total of variance is 23.076 %, with high-wind speed resulting in Ca2+ and Mg2+ ions in the surface snow by wet and dry deposition in dry season.
Table 4
Principal component analysis of ions in dry season
Component
Initial eigenvalues
Component
Total
% of variance
Cumulative %
1
2
3
1
5.855
65.053
65.053
Cl−
0.964
0.261
−0.028
2
2.077
23.076
88.129
NO2−
0.281
−0.248
0.927
3
1.034
11.492
99.621
NO3−
0.953
0.297
0.007
4
0.033
0.363
99.983
SO42−
0.998
−0.002
0.068
5
0.002
0.017
100.000
Na+
0.937
−0.061
−0.329
6
2.306E−16
2.562E−15
100.000
NH4+
0.995
−0.083
0.057
7
−6.547E−17
−7.274E−16
100.000
K+
0.999
0.041
−0.027
8
−1.887E−16
−2.096E−15
100.000
Mg2+
−0.133
0.956
0.238
9
−5.046E−16
−5.606E−15
100.000
Ca2+
−0.245
0.966
−0.007
In the rainy season (Table 5), the first principal component was greatly influenced by NO3−, SO42−, NH4+, Mg2+, Ca2+, and accumulative total of variance is 55.273 %; NO3−, SO42− and NH4+ came from the human industrial and agricultural activities, while Mg2+ and Ca2+ mainly originated from local bedrock of the area near Yulong mountain. The second principal component was greatly influenced by Cl−, Na+, K+, and the accumulative total of variance was 32.871 %, indicating that these species were mainly transported from oceans.
Table 5
Principal component analysis of ions in rainy season
Component
Initial eigenvalues
Component
Total
% of variance
Cumulative %
1
2
1
4.975
55.273
55.273
Cl−
0.561
0.821
2
2.958
32.871
88.144
NO2−
0.430
0.243
3
0.908
10.092
98.236
NO3−
0.897
−0.393
4
0.142
1.576
99.812
SO42−
0.914
−0.402
5
0.017
0.188
100.000
Na+
0.332
0.933
6
3.770E−16
4.189E−15
100.000
NH4+
0.852
0.258
7
2.176E−16
2.418E−15
100.000
K+
0.732
0.675
8
−1.471E−16
−1.635E−15
100.000
Mg2+
0.859
−0.504
9
−5.339E−16
−5.932E−15
100.000
Ca2+
0.851
−0.512
Conclusions
1. The pH of fresh snow was within the range of 6.27–7.01 and lower in rainy season because of continuous leaching of frequent precipitation. The conductivity in dry season was much higher than that in rainy season.
2. The concentration of inorganic ions was generally higher in dry season than that in rainy season. Ca2+ and Mg2+ reached its peak concentration from December to February of the following year, while the highest concentration of other ions occurred in pre-monsoon period (April–May).
3. The ions of fresh snow in dry seasons mainly came from terrestrial under the influence of west wind circulation and the Plateau monsoon. Southeast and southwest monsoons greatly affected the area in rainy season.
4. Bedrock composition, human activities and marine aerosol transport together with the water vapor were the principal inorganic ion sources of Baishui No. 1 Glacier.
Acknowledgments
This study was supported by a Project of the National Natural Science Foundation of China (40971019) and a West Light Foundation of China’s Academy of Sciences (O828A11001). The authors gratefully acknowledge the NOAA Air Resources Laboratory for the provision of the HYSPLIT transport and dispersion model and/or READY website (http://www.arl.noaa.gov/ready.html) used in this publication.
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