2000—2019年赛里木湖湖冰物候特征变化

doi:10.12118/j.issn.1000–6060.2021.029

Abstract

Abstract:

Lake ice phenology is a sensitive indicator of climate change. To clarify the changes in ice characteristics and influencing factors of lakes in Tianshan Mountains, which has alpine characteristics, Sayram Lake of Xinjiang in China is taken as the object of study. Sayram Lake is located in a closed alpine basin of brackish water. With its unique geographical location, the lake’s evolution and ice conditions are rarely influenced by human activities, and it can be an ideal research area for lake ice phenology in this region. This study conducted an analysis mainly based on MODIS, Chinese lake data, and meteorological data to reveal the phenological characteristics of lake ice on Sayram Lake during 2000—2019 by applying threshold, trend analysis, and other methods. We also identified the climatic factors that have influenced lake ice phenology over time and draw some conclusions. Results are summarized as follows: (1) Freeze-up start (FUS), freeze-up end (FUE), break-up start (BUS), and break-up end (BUE) on Sayram Lake usually occurred on November 2, January 18, April 26, and May 17, respectively. The average rates of FUE, BUS, and BUE were -0.25 d·a^-1, -0.03 d·a^-1, and -0.44 d·a^-1, respectively. The average complete ice duration (CID, between FUE and BUS) and the average ice duration (ID, between FUS and BUE) were 99 d and 196 d, respectively. (2) In the past 20 years, the BUS and BUE of Sayram Lake showed an earlier trend, and the FUE also showed an earlier trend, which was related to the decreasing trend of the average temperature in January. The BUS and BUE of Sayram Lake are related to the rising trend of average temperature in April to May and May to June. The ID was shortened, whereas the CID was prolonged. (3) Sayram Lake can be characterized by similar spatial patterns in both freeze-up (FU) and break-up (BU) processes, as parts of the surface that freeze earlier start to melt first. A more complex lake edge corresponds to an earlier start of the freezing time. Generally, freeze begins from the lakeshore and then gradually expands to the center of the lake until the lake is completely frozen. The ice begins to break in late April, and thawing begins from the northeastern lake shore. The lake ice from the shore moves gradually to the center of the slow melting and is completely melted by mid-May. Compared with the freezing process, melting on Sayram Lake is faster, lasting only 40 d, which is distinctly different from other lakes on the Tibetan Plateau. (4) The variations of phenology and evolution of the Sayram Lake ice are the results of local and climatic factors. The temperature, accumulated negative accumulated temperature, lake morphology factors, lake area, and shape of the shoreline are the main factors that affect the phenology of lake ice. However, the effect of lake salinity and geological structure on lake ice evolution cannot be ignored. This study on the phenological characteristics of lake ice on Sayram Lake can provide supplemental data for arid/semi-arid areas that lack data and provide more accurate parameter indicators and scientific basis for studying climate change in Sayram Lake and even Tianshan.

Key words: lake ice, phenology, MODIS, Sayram Lake, climate change

QIN Qiyong,LI Xuemei,ZHANG Bo,LI Chao,SUN Tianyao. Change of ice phenology in the Sayram Lake from 2000 to 2019[J].Arid Land Geography, 2022, 45(1): 37-45.

Figures/Tables 8

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References 27

[1]	Pavelsky T M, Zarnetske J P. Rapid decline in river icings detected in Arctic Alaska: Implications for a changing hydrologic cycle and river ecosystems[J]. Geophysical Research Letters, 2017, 44(7):3228-3235 doi: 10.1002/grl.v44.7
[2]	汪关信, 张廷军, 李晓东. 利用被动微波探测青海湖湖冰物候变化特征[J]. 冰川冻土, 2021, 43(1):296-310.
	[Wang Guanxin, Zhang Tingjun, Li Xiaodong, et al. Detecting changes of ice phenology using satellite passive microwave remote sensing data in Qinghai Lake[J]. Journal of Glaciology and Geocryology, 2021, 43(1):296-310. ]
[3]	秦大河. 中国气候与环境演变: 2012综合卷[M]. 北京: 气象出版社, 2012.
	[Qin Dahe. Climate and environmental evolution in China: 2012 comprehensive volume[M]. Beijing: Meteorological Press, 2012. ]
[4]	曲斌, 康世昌, 陈锋, 等. 2006—2011年西藏纳木错湖冰状况及其影响因素分析[J]. 气候变化研究进展, 2012, 8(5):327-333.
	[Qu Bin, Kang Shichang, Chen Feng, et al. Lake ice and its effect factors in the Nam Co Basin, Tibetan Plateau[J]. Climate Change Research, 2012, 8(5):327-333. ]
[5]	祁苗苗, 姚晓军, 李晓锋, 等. 2000—2016年青海湖湖冰物候特征变化[J]. 地理学报, 2018, 73(5):932-944. doi: 10.11821/dlxb201805012
	[Qi Miaomiao, Yao Xiaojun, Li Xiaofeng, et al. Spatial-temporal characteristics of ice phenology of Qinghai Lake from 2000 to 2016[J]. Acta Geographica Sinica, 2018, 73(5):932-944. ] doi: 10.11821/dlxb201805012
[6]	Weber H, Riffler M, Noges T, et al. Lake ice phenology from AVHRR data for European lakes: An automated two-step extraction method[J]. Remote Sensing of Environment, 2016, 174:329-340. doi: 10.1016/j.rse.2015.12.014
[7]	Gou P, Ye Q H, Che T, et al. Lake ice phenology of Nam Co, central Tibetan Plateau, China, derived from multiple MODIS data products[J]. Journal of Great Lakes Research, 2017, 43(6):989-998. doi: 10.1016/j.jglr.2017.08.011
[8]	Magnuson J J. Historical trends in lake and river ice cover in the Northern Hemisphere[J]. Science, 2000, 289(5485):1743-1746. pmid: 10976066
[9]	Benson B J, Magnuson J J, Jensen O P, et al. Extreme events, trends, and variability in Northern Hemisphere lake-ice phenology (1855—2005)[J]. Climatic Change, 2012, 112:299-323. doi: 10.1007/s10584-011-0212-8
[10]	车涛, 李新, 晋锐. 利用被动微波遥感低频亮温数据监测青海湖封冻与解冻期[J]. 科学通报, 2009, 54(6):787-791.
	[Che Tao, Li Xin, Jin Rui. Monitoring the freezing and thawing period of Qinghai Lake using passive microwave remote sensing low-frequency bright temperature data[J]. Chinese Science Bulletin, 2009, 54(6):787-791. ]
[11]	Chen J, Wang Y F, Cao L G, et al. Variations in the ice phenology and water level of Ayakekumu Lake, Tibetan Plateau, derived from MODIS and satellite altimetry data[J]. Journa of the Indian Society of Remote Sensing, 2018, doi: 10.1007/s12524-018-082 4-9. doi: 10.1007/s12524-018-082 4-9
[12]	姚晓军, 李龙, 赵军, 等. 近10年来可可西里地区主要湖泊冰情时空变化[J]. 地理学报, 2015, 70(7):1114-1124. doi: 10.11821/dlxb201507008
	[Yao Xiaojun, Li Long, Zhao Jun, et al. Spatial-temporal variations of lake ice in the Hoh Xil region from 2000 to 2011[J]. Acta Geographica Sinica, 2015, 70(7):1114-1124. ] doi: 10.11821/dlxb201507008
[13]	赵彩龙, 阎顺, 宋旭东, 等. 新疆赛里木湖地质公园旅游开发研究[J]. 干旱区地理, 2009, 32(4):638-644.
	[Zhao Cailong, Yan Shun, Song Xudong, et al. Tourism development of Sayram Lake Geopark, Xinjiang[J]. Arid Land Geography, 2009, 32(4):638-644. ]
[14]	王宇, 李均力, 郭木加甫, 等. 1989—2014年赛里木湖水面面积的时序变化特征[J]. 干旱区地理, 2016, 39(4):851-860.
	[Wang Yu, Li Junli, Guomugafu, et al. Temporal variation characteristics of surface area of Selim Lake from 1989 to 2014[J]. Arid Land Geography, 2016, 39(4):851-860. ]
[15]	丁明东. 草场资源合理开发利用与保护研究——以赛里木湖为例[J]. 江西农业, 2019(2):47-48.
	[Ding Mingdong. Research on the rational exploitation, utilization and protection of grassland resources: Taking Saerim Lake as an example[J]. Jiangxi Agriculture, 2019(2):47-48. ]
[16]	巴音查汗, 张德兵. 新疆赛里木湖流域最低生态水位确定方法探讨[J]. 地下水, 2020, 42(2):182-185.
	[Bayinchahan, Zhang Debing. Methodology of determining the lowest ecological water level in the Selim Lake Basin, Xinjiang[J]. Ground Water, 2020, 42(2):182-185. ]
[17]	博尔塔拉蒙古自治州人民政府. 赛里木湖生态环境保护规划(2012—2016)[EB/OL]. [2013-12-9]. https://max.book118.com/html/2019/0414/8053006001002017.shtm .
	[People’s Government of Börtala Mongolian Autonomous Prefecture. Saerimu Lake ecological environmental protection plan (2012—2016)[EB/OL]. [2013-12-9]. https://max.book118.com/html/2019/0414/8053006001002017.shtm .]
[18]	吴素云, 周斌, 潘玉良, 等. 近25年来中亚湖泊面积遥感动态监测[J]. 杭州师范大学学报(自然科学版), 2017, 16(2):200-204.
	[Wu Suyun, Zhou Bin, Pan Yuliang, et al. Remote sensing dynamic monitoring of lake area in Central Asia in the last 25 years[J]. Journal of Hangzhou Normal University (Natural Sciences Edition), 2017, 16(2):200-204. ]
[19]	米热古力·艾尼瓦尔. 博斯腾湖和伊塞克湖水位变化对气候变化的响应对比研究[D]. 乌鲁木齐: 新疆大学, 2014.
	[Aniwar Mireguli. A comparative study on the response of water level changes in Bosten and Issyk-Kul Lakes to climate change[D]. Urumqi: Xinjiang University, 2014. ]
[20]	何海迪, 李忠勤, 张明军. 基于MODIS数据中国天山积雪面积时空变化特征分析[J]. 干旱区地理, 2018, 41(2):367-374.
	[He Haidi, Li Zhongqin, Zhang Mingjun. Temporal and spatial variation characteristics of snow cover in the Tianshan Mountains based on MODIS data[J]. Arid Land Geography, 2018, 41(2):367-374. ]
[21]	张国庆. 中国湖泊数据集(1960s—2015)[DB/OL]. [2021-01-12]. 国家青藏高原科学数据中心, http://data.tpdc.ac.cn/zh-hans/ .
	[Zhang Guoqing. China lake dataset (1960s—2015)[DB/OL]. [2021-01-12]. National Tibetan Plateau Data Center, http://data.tpdc.ac.cn/zh-hans/ .]
[22]	Zhang G Q, Yao T D, Chen W F, et al. Regional differences of lake evolution across China during 1960s—2015 and its natural and anthropogenic causes[J]. Remote Sensing of Environment. 2019, 221:386-404. doi: 10.1016/j.rse.2018.11.038
[23]	Luo D L, Jin H J, Du H Q. Variation of alpine lakes from 1986 to 2019 in the headwater area of the Yellow River, Tibetan Plateau using Google Earth Engine[J]. Global Warming Focus, 2020, 11(1):11-21.
[24]	Reed B, Budde M, Spencer P, et al. Integration of MODIS-derived metrics to assess interannual variability in snowpack, lake ice, and NDVI in southwest Alaska[J]. Remote Sensing of Environment, 2009, 113:1443-1452. doi: 10.1016/j.rse.2008.07.020
[25]	Kropacek J, Maussion F, Chen F, et al. Analysis of ice phenology of lakes on the Tibetan Plateau from MODIS data[J]. The Cryosphere Discussions, 2013, 7(1):287-301.
[26]	张鑫, 楼俊伟, 王勇, 等. 1961—2017年北疆初终霜日及霜期时空变化特征[J]. 干旱区地理, 2021, 44(2):308-315.
	[Zhang Xin, Lou Junwei, Wang Yong, et al. Temporal and spatial variation characteristics of first and last frost day and frost period from 1961 to 2017 in northern Xinjiang[J]. Arid Land Geography, 2021, 44(2):308-315. ]
[27]	王智颖, 吴艳红, 常军, 等. 青藏高原湖冰物候的时空变化及其影响因素[J]. 北京工业大学学报, 2017, 43(5):701-709.
	[Wang Zhiying, Wu Yanhong, Chang Jun, et al. Temporal and spatial variation of lake ice phenology and its influencing factors in the Tibetan Plateau[J]. Journal of Beijing University of Technology, 2017, 43(5):701-709. ]

年份	Landsat值 /km²	MODIS平均值 /km²	Landsat值与MODIS 平均值差值/km²	误差率	MODIS最大值 /km²	Landsat值与MODIS 最大值差值/km²	误差率
2005	461.98	444.25	17.73	0.04	462.00	-0.02	0.00
2007	461.52	436.00	25.52	0.06	461.00	0.52	0.00
2010	462.41	440.75	21.66	0.05	466.50	-4.09	0.01
2014	461.74	441.00	20.74	0.04	459.50	2.24	0.00
2015	462.79	448.75	14.04	0.03	466.25	-3.46	0.01

年份	开始冻结	完全冻结	开始融化	完全融化	湖冰冰期	完全封冻期
2000/2001	288	24	128	144	221	104
2001/2002	304	24	108	142	203	84
2002/2003	298	22	130	150	217	108
2003/2004	306	8	112	126	186	104
2004/2005	334	22	120	158	189	98
2005/2006	322	8	122	134	177	114
2006/2007	322	23	106	119	162	83
2007/2008	295	15	122	166	237	107
2008/2009	338	22	98	119	146	76
2009/2010	298	30	118	134	201	88
2010/2011	299	8	122	127	193	114
2011/2012	290	18	121	134	210	103
2012/2013	322	14	122	128	171	108
2013/2014	279	22	124	134	220	102
2014/2015	313	8	121	142	194	113
2015/2016	321	29	106	134	179	77
2016/2017	312	30	122	135	188	92
2017/2018	290	8	117	135	210	109
2018/2019	290	8	106	140	215	98

湖冰物候特征	湖泊面积	年均气温	累积负积温	气温<0 ℃天数	湖岸线长度	湖泊形态因子
开始冻结	0.61^**	0.17	-0.12	-0.65^**	-0.97^**	-0.64^**
完全冻结	0.11	-0.98^**	-0.52^*	0.62^**	-0.69^**	-0.10
开始消融	-0.63^***	-0.34	0.22	-0.96^**	-0.64^**	-0.86^**
完全消融	0.88^**	-0.64^**	0.30	-0.54^*	-0.87^**	-0.83^**
封冻期	-0.56^*	-0.43	0.72^**	0.67^**	-0.41	0.94^**
完全封冻期	-0.45	-0.70^**	0.20	-0.41	0.92^**	0.47^*

Change of ice phenology in the Sayram Lake from 2000 to 2019

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