草甸草原动态融雪过程与气象要素关系分析——以额尔古纳市为例

doi:10.13866/j.azr.2022.05.08

Abstract

Abstract:

The study of snow melt is of utmost importance in light of the increased global temperature and melting glaciers. The present study utilizes the ultrasonic snow depth measurement instrument, DSJ1, as well as meteorological observations from the same period, to analyze the snow melting process in Ergun from February-March, 2021. The results were as follows: (1) there is a sluggish snow melting period followed by a quick snow melting period in Ergun. During the slow snow melting season, the pace of snow melting on average was 0.37 cm·d^-1 and could reach 4.75 cm·d^-1 during the fast snow melting period. Every day between 2:00 and 19:00, the snow depth decreased at its lowest point. (2) As the temperature rose by 1 ℃, the snow depth decreased by 0.439 cm. When the snow depth was greater than 10 cm, the temperature range from -11 ℃ to 5 ℃ had a significant impact on snow depth, and the slope of the fitting trend between snow depth and temperature was greater when the temperature was above zero. (3) The temperature lag effect varied during the main and rapid snowmelt periods. The correlation between the current temperature and snow depth was the most significant factor during the rapid melting period. During the snow melt period, the change in snow depth depended primarily on the current temperature one hour ahead, followed by the temperature two hours ahead. Wind speed and direction were also critical factors. The correlation coefficient for snow depth was the lowest, and no hysteresis was evident. (4) The 5 cm ground temperature had the greatest influence on the variation in snow depth during the snow melt period in addition to the cumulative effect of multiple meteorological factors. Analysis of the law of snow melt in this paper will be followed by an in-depth analysis of the temperature change during snow melt, as well as the correlation between various meteorological factors and snow melt.

Key words: meadow grassland, dynamic snowmelt, meteorological factors

SANG Jing,WANG Yingbin,QIAN Lianhong,WANG Haimei,WANG Qiyu. Analysis of the relationship between the dynamic snowmelt process of meadow grassland and meteorological factors: Ergun City[J].Arid Zone Research, 2022, 39(5): 1428-1436.

Figures/Tables 9

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Tab. 1

References 20

[1]	IPCC. Climate Change 2021: The Physical Science Basis[R]. Cambridge: Cambridge University Press, 2021.
[2]	刘昊, 宋海清, 李云鹏. 积雪深度再分析资料在内蒙古的适用性评价[J]. 干旱气象, 2020, 38(4): 641-646.
	[Liu Hao, Song Haiqing, Li Yunpeng. Applicability evaluation of snow depth reanalysis data in Inner Mongolia[J]. Journal of Arid Meteorology, 2020, 38(4): 641-646. ]
[3]	陆智, 刘志辉, 闫彦. 新疆融雪洪水特征分析及防洪措施研究[J]. 水土保持研究, 2007, 14(6): 256-258.
	[Lu Zhi, Liu Zhihui, Yan Yan. Features of snowmelt flood and control measures in Xinjiang[J]. Research of Soil and Water Conservation, 2007, 14(6): 256-258. ]
[4]	周刚, 崔曼仪, 李哲, 等. 新疆春季融雪洪水危险性动态评价研究[J]. 干旱区研究, 2021, 38(4): 950-960.
	[Zhou Gang, Cui Manyi, Li Zhe, et al. Dynamic evaluation of the risk of the spring snowmelt flood in Xinjiang[J]. Arid Zone Research, 2021, 38(4): 950-960. ]
[5]	Armstrong R L, Brodzik M J. Recent northern hemisphere snow extent: A comparison of data derived from visible and microwave satellite sensors[J]. Geophysical Research Letters, 2001, 28(19): 3673-3676. doi: 10.1029/2000GL012556
[6]	DA Robinson, Dewey K F, Heim R R. Global snow cover monitoring: An update[J]. Bulletin of the American Meteorological Society, 1993, 74(9): 1689-1696. doi: 10.1175/1520-0477(1993)074<1689:GSCMAU>2.0.CO;2
[7]	杨林, 马秀枝, 李长生, 等. 积雪时空变化规律及其影响因素研究进展[J]. 西北林学院学报, 2019, 34(6): 96-102.
	[Yang Lin, Ma Xiuzhi, Li Changsheng, et al. Research progress in spatioal-temporal variation of snow cover and the influencing factors[J]. Journal of Northwest Forestry University, 2019, 34(6): 96-102. ]
[8]	Liu X, Yanai M. Influence of Eurasian spring snow cover on Asian summer rainfall[J]. International Journal of Climatology, 2002, 22(9): 1075-1089. doi: 10.1002/joc.784
[9]	施雅风. 中国冰川与环境:现在、过去和未来[M]. 北京: 科学出版社, 2001.
	[Shi Yafeng. Glaciers and The Environment in China: Present, Past and Future[M]. Beijing: Science Press, 2001. ]
[10]	萨楚拉, 刘桂香, 包刚, 等. 内蒙古积雪面积时空变化及其对气候响应[J]. 干旱区资源与环境, 2013, 27(2): 137-142.
	[Sa Chula, Liu Guixiang, Bao Gang, et al. The spatial and temporal changes of snow cover in Inner Mongolia and their responses to climate[J]. Journal of Arid Land Resources and Environment, 2013, 27(2): 137-142. ]
[11]	舒常禄. 内蒙古大兴安岭林区近40年积雪时空动态变化[D]. 呼和浩特: 内蒙古农业大学, 2018.
	[Shu Changlu. Study on the Temporal and Spatial Dynamics of Snow Cover of Great Xing’an Mountains’ Forest Region Inner Mongolia[D]. Hohhot: Inner Mongolia Agricultural University, 2018. ]
[12]	李晨昊, 萨楚拉, 刘桂香, 等. 2000—2017年蒙古高原积雪时空变化及其对气候响应研究[J]. 中国草地学报, 2020, 234(2): 98-107.
	[Li Chenhao, Sa Chula, Liu Guixiang, et al. Spatiotemporal changes of snow cover and its response to climate changes in the Mongolian Plateau from 2000 to 2017[J]. Chinese Journal of Grassland, 2020, 234(2): 98-107. ]
[13]	孙晓瑞, 高永, 丁延龙, 等. 基于MODIS数据的2001—2016年内蒙古积雪分布及其变化趋势[J]. 干旱区研究, 2019, 36(1):107-115.
	[Sun Xiaorui, Gao Yong, Ding Yanlong, et al. Distribution and trend of snow cover in Inner Mongolia from 2001 to 2016 based on MODIS data[J]. Arid Zone Research, 2019, 36(1): 107-115. ]
[14]	柯丹, 汪玲玲, 牛生杰, 等. 基于常规气象资料融雪模式的建立及应用[J]. 大气科学学报, 2010, 33(5): 555-560.
	[Ke Dan, Wang Lingling, Niu Shengjie, et al. A Snowmelt model based on rountine meteoroligical data[J]. Transactions of Atmospheric Sciences, 2010, 33(5): 555-560. ]
[15]	郭玲鹏, 李兰海, 徐俊荣, 等. 气温变化条件下融雪速率和土壤水分变化的同步观测试验[J]. 干旱区研究, 2012, 29(5): 890-897.
	[Guo Lingpeng, Li Lanhai, Xu Junrong, et al. Experimental study on simultaneous observation of snowmelt and soil moisture content under air temperature increase[J]. Arid Zone Research, 2012, 29(5): 890-897. ]
[16]	杨涛, 郭玲鹏, 黄法融, 等. 沙尘对天山积雪消融的影响[J]. 干旱区研究, 2018, 35(1): 122-129.
	[Yang Tao, Guo Lingpeng, Huang Farong, et al. Influence of dust on snowpack in the Tianshan Mountains[J]. Arid Zone Research, 2018, 35(1): 122-129. ]
[17]	彭亮, 郑淑文, 何英, 等. 基于MODIS的积雪时空变化与CMADS气象因子相关性研究——以塔什库尔干河流域为例[J]. 水资源与水工程学报, 2019, 30(4): 53-62.
	[Peng Liang, Zheng Shuwen, He Ying, et al. Correlation between temporal and spatial changes of snow cover and CMADS meteorological factors based on MODIS: A case study of Tashkurgan River Basin[J]. Journal of Water Resources & Water Engineering, 2019, 30(4): 53-62. ]
[18]	张娟, 徐维新, 王力, 等. 三江源腹地玉树地区动态融雪过程及其与气温关系分析[J]. 高原气象, 2018, 37(4): 936-945. doi: 10.7522/j.issn.1000-0534.2018.00001
	[Zhang Juan, Xu Weixin, Wang Li, et al. Dynamic snow melting process and its relationship with air temperature in the hinterland of Sanjiangyuan Region in Qinghai-Tibetan Plateau[J]. Plateau Meteorology, 2018, 37(4): 936-945. ] doi: 10.7522/j.issn.1000-0534.2018.00001
[19]	周扬, 徐维新, 张娟, 等. 2013—2015年青藏高原玛多地区两次动态融雪过程及其与气温关系对比分析[J]. 自然资源学报, 2017, 32(1): 101-113.
	[Zhou Yang, Xu Weixin, Zhang Juan, et al. A comparative analysis of the two dynamic snow-melting process and their relationship with air temperature during 2013-2015 in the area of Maduo, Tibetan Plateau[J]. Journal of Natural Resources, 2017, 32(1): 101-113. ]
[20]	周扬, 徐维新, 白爱娟, 等. 青藏高原沱沱河地区动态融雪过程及其与气温关系分析[J]. 高原气象, 2017, 36(1): 24-32. doi: 10.7522/j.issn.1000-0534.2016.00013
	[Zhou Yang, Xu Weixin, Bai Aijuan, et al. Dynamic snow-melting process and its relationship with air temperature in Tuotuohe, Qinghai-Xizang Plateau[J]. Plateau Meteorology, 2017, 36(1): 24-32. ] doi: 10.7522/j.issn.1000-0534.2016.00013

时期	回归步数	变量	变量偏相关检验			回归方程参数
时期	回归步数	变量	偏相关系数	P	R²	调整R²	F	P
快速融雪期	1	Gst_5	-0.685	<0.001	0.813	0.811	430.173	<0.001
	2	Win_10	-0.437	0.002	0.892	0.889	402.762	<0.001
	3	LGst1	-0.401	<0.001	0.9	0.896	289.616	<0.001
	4	Gst1	0.321	0.001	0.906	0.902	231.785	<0.001
	5	Tem1	-0.313	0.002	0.915	0.911	205.486	<0.001

Analysis of the relationship between the dynamic snowmelt process of meadow grassland and meteorological factors: Ergun City

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 20

Related Articles 9

Metrics

Comments

Recommended 0

[1]	LI Hong, LI Zhongqin, CHEN Puchen, PENG Jiajia. Spatio-temporal variation of snow cover in Altai Mountains of Xinjiang in recent 20 years and its influencing factors [J]. Arid Zone Research, 2023, 40(7): 1040-1051.
[2]	GAO Xiaoyu,TANG Pengcheng,ZHANG Sha,QU Zhongyi,YANG Wei. Drought characteristics and regression models of drought characteristics and response factors of various climatic areas in Inner Mongolia during main crop growing season [J]. Arid Zone Research, 2022, 39(5): 1410-1427.
[3]	QIANG Yuquan,XU Xianying,ZHANG Jinchun,LIU Hujun,GUO Shujiang,DUAN Xiaofeng. Characteristics of stem sap flow of Haloxylon ammodendron and its response to environmental factors in Qingtu Lake, Minqin [J]. Arid Zone Research, 2022, 39(4): 1143-1154.
[4]	ZHANG Yaozong,ZHANG Bo,ZHANG Duoyong,LIU Yanyan. Spatio temporal patterns of pan evaporation from 1960 to 2018 over the Loess Plateau: Changing properties and possible causess [J]. Arid Zone Research, 2022, 39(1): 1-9.
[5]	YANG Qi,LI Shuheng,LI Jiahao,WANG Jiachuan. Phenology of forest vegetation and its response to climate change in the Qinling Mountains [J]. Arid Zone Research, 2021, 38(4): 1065-1074.
[6]	HONG Guangyu,WANG Xiaojiang,LIU Guohou,ZHANG Lei,GAO Xiaowei,LI Zhuofan,LIU Tieshan,LIU Chenming,LI Zihao. Characteristics of Salix psammophila sap flow and its response to environmental factors in Mu Us Sandy Land [J]. Arid Zone Research, 2021, 38(3): 794-801.
[7]	CAO Lijun,SUN Huilan,LAN Xiaoli,ZHANG Lele,LU Baobao,LIU Tianyi. Spatio-temporal evolution of the extreme dry and wet events in Tianshan Mountains, Xinjiang, China [J]. Arid Zone Research, 2021, 38(1): 188-197.
[8]	CHEN Zhi-qing, SHAO Tian-jie, ZHAO Jing-bo, CAO Jun-ji, YUE Da-peng. Spatial-temporal differentiation of near-surface ozone concentration and dominant meteorological factors in Inner Mongolia [J]. Arid Zone Research, 2020, 37(6): 1504-1512.
[9]	FU Hua, JIA Li-hong, XIAO Ji-dong, LI Cong, FENG Zhi-min. Classification of Snowmelt Flood and Analysis on Its Formation Causes in the Kumalak River Basin [J]. , 2011, 28(3): 433-437.