| 黑龙江流域积雪的时空动态变化及其与气候因子的关系 |
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| 作者姓名： | 陆小琳 张万昌 牛全福 刘金平 陈豪 高会然 |
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| 作者单位： | 1. 兰州理工大学土木工程学院, 兰州 730050;2. 中国科学院空天信息创新研究院, 北京 100094;3. 中国科学院大学, 北京 100049;4. 华北水利水电大学, 郑州 450045 |
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| 基金项目： | 国家重点研发计划（2016YFA0602302，2016YFB0502502）资助 |
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| 摘 要： | 积雪覆盖作为重要的地表覆盖类型，其变化对当地的水文环境、物候变化都有重要的反馈和调节作用。基于去云后的MOD10A1/MYD10A1逐日积雪覆盖数据，探讨黑龙江流域2002-2016年间的积雪时空变化，并结合同期气象数据，分析积雪面积与温度、降水等气象因子之间的相关性。研究结果表明：1）研究期间黑龙江流域积雪日数增加的地表面积稍大于减少的面积；流域整体年积雪覆盖面积呈微弱的增加趋势，季节上表现为冬夏季略微增加、秋季轻微减少及春季无明显增减的趋势。2）不同时段的积雪面积与同期气候因子的相关性不同。其中春季3、4月份与温度有明显的负相关关系（P<0.01），夏季6月、冬季12月以及2月与降水呈明显正相关关系（P<0.01），秋季与最高温度有较好的负相关关系（P<0.05）。综上所述，黑龙江流域14年来的积雪年际变化及其与气温、降水之间相关性表现出明显的季节性差异，将为研究气候变化、灾害防治以及人类活动提供有效参考。
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| 关 键 词： | 气候变化 遥感 积雪面积 温度 降水 |
| 收稿时间： | 2019-11-13 |
| 修稿时间： | 2020-03-23 |
Spatio-temporal dynamics of snow cover in Amur River basin and its relationship with climate factors |
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| Authors: | LU Xiaolin ZHANG Wanchang NIU Quanfu LIU Jinping CHEN Hao GAO Huiran |
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| Institution: | 1. College of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China;2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;3. University of Chinese Academy of Sciences, Beijing 100049, China;4. North China University of Water Resources and Electric Power, Zhengzhou 450045, China |
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| Abstract: | As one of the important types of land cover, snow cover has important feedback and adjustment effects on the local hydrological environment and phenological change of vegetation. Based on MOD10A1/MYD10A1 daily snow cover dataset after removing cloud, the spatio-temporal variation of snow cover and the correlation between snow cover area and meteorological factors (temperature and precipitation) was analyzed in the Amur River Basin from 2002 to 2016. The results show that:1) during the study period, the proportion of land surface with increasing snow-cover days (SCDs) was slightly larger than that of decreasing SCDs in Amur River Basin. In terms of temporal variations, the annual snow cover area of the whole basin showed a slightly increasing trend, whereas it was manifested as an increase in winter and summer, a decrease in autumn, and oscillating in spring. 2) The correlations between snow cover area and climate factors vary with season. Snow cover area was negatively correlated with mean air temperature (P<0.01) in March and April or with the highest air temperature (P<0.05) in autumn, while it was positively correlated with precipitation (P<0.01) in February, June, and December. To sum up, the interannual variation of snow cover in Amur River basin over the past 14 years and its correlation with temperature and precipitation showed significant seasonal differences. The results will provide a reference for the researches on climate change, disaster prevention and environmental effects of human activities. |
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| Keywords: | climate change remote sensing snow cover area temperature precipitation |
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