主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2018, Vol. 34 ›› Issue (4): 112-118.doi: 10.3969/j.issn.1673-503X.2018.04.015

• 论文 • 上一篇    下一篇

朝鲜中西部地区春季植被覆盖度与气候因子的关系

吴刚哲1,2  严金哲1,3  任国玉1,4  索南看卓1   

  1. 1. 中国地质大学环境学院,湖北 武汉 430074;2. 元山农业综合大学,朝鲜 元山;3. 金日成综合大学,朝鲜 平壤;4. 中国气象局气候研究开放实验室,北京 100081
  • 收稿日期:2017-05-09 修回日期:2017-07-03 出版日期:2018-08-31 发布日期:2018-09-03

Relationship between fractional vegetation and climate factors in spring over the mid-west of DPR Korea

WU Gang-zhe1, 2  YAN Jin-zhe1, 3  REN Guo-yu 1, 4   SUONAN Kan-zhuo 1   

  1. 1. Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China;2. Department of Meteorology, Faculty of Agricultural Science, Wonsan Agriculture University, Wonsan, Kangwon Province, DPR Korea;3. Department of Meteorology, Faculty of Global environmental Science, Kim Il Sung University, Pyongyang, DPR Korea;4. Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081, China
  • Received:2017-05-09 Revised:2017-07-03 Online:2018-08-31 Published:2018-09-03

摘要:

为了深入了解朝鲜中西部地区春季植被覆盖度(Fractional Vegetation,FV)的变化特征及其与气候因子的关系,利用1992年、2003年和2007年Landsat 5卫星资料及朝鲜中西部地区13个气象站的气温和降水观测资料,对朝鲜中西部地区春季植被的变化特征及其与气候异常的关系进行了分析。结果表明:1992年、2003年和2007年朝鲜中西部地区春季植被覆盖度呈明显增加的趋势,平均增加量为17.5%,平原地区比山地春季植被覆盖度偏高约20.0%。朝鲜中西部地区春季植被覆盖度与春季平均气温呈负相关关系(r= -0.47), 与春季降水量呈正相关关系(r=0.43);朝鲜中西部地区春季植被覆盖度的变化量与春季平均气温的变化率呈负相关关系(r=-0.53),与同期降水量的变化率呈正相关关系(r=0.79),均通过了显著性检验 (显著性水平>99%以上,p<0.05)。可见,朝鲜中西部地区春季植被覆盖度的变化可能主要受春季气温和春季降水的影响。

关键词: Landsat 5TM, 遥感, GIS, 植被覆盖度, 气温, 降水, 相关分析

Abstract:

 Based on the Landsat5 satellite data in 1992, 2003 and 2007 as well as temperature and precipitation data from the 13 weather stations in the mid-west of DPR Korea during 1992-2007, the variation characteristics of fractional vegetation (FV) in spring and their relationships with climate abnormality were investigated. The results show that the regionally averaged FV in the studied area increases significantly with a rate of about 17.5%. More specifically, the increasing magnitude of FV in plain area is about 20.0% higher than that in mountain area. In addition, FV has a negative correlation with the spring mean surface temperature (correlation coefficient: r = -0.43) and a positive correlation with the spring precipitation (r = 0.43). Moreover, there is a negative and positive correlation between the variations of the spring mean temperature, precipitation and FV (correlation coefficient: r = -0.53 and r = 0.79), respectively, with a very significant level (p<0.05). So, the variation of spring FV in the mid-west of DPR Korea may be mainly affected by spring mean temperature and precipitation.

Key words: Landsat5 TM, Remote sensing, GIS, Fractional Vegetation, Temperature, Precipitation, correlation analysis

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