高原气象

高原气象 >

2018 , Vol. 37 >Issue 2: 349 - 357

DOI: https://doi.org/10.7522/j.issn.1000-0534.2017.00048

论文

雅鲁藏布江流域NDVI对高程与降水的相依性研究

  • 刘晓婉 ,
  • 彭定志 ,
  • 徐宗学
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  • 北京师范大学水科学研究院, 北京 100875;城市水循环与海绵城市技术北京重点实验室, 北京 100875

收稿日期: 2017-02-27

  网络出版日期: 2018-04-28

基金资助

国家自然科学基金重大计划项目（91647202）；北京师范大学研究生创新创业科研基金项目（3122121F1）

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Variability of NDVI with Elevation and Precipitation in Yarlung Zangbo River Basin

  • LIU Xiaowan ,
  • PENG Dingzhi ,
  • XU Zongxue
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  • College of Water Sciences, Beijing Normal University, Beijing 100875, China;Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China

Received date: 2017-02-27

  Online published: 2018-04-28

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摘要

地形起伏与降水分布不均是植被空间分布差异的主要成因。西藏自治区雅鲁藏布江流域具有显著的高程差异，研究以NDVI和相应的降水及高程数据，统计分析NDVI随高程变化的分布规律，并结合滑动t突变检验与Pearson相关分析对其分布形态进行诊断。结果表明：（1）NDVI对高程具有高度依赖性，基本呈现随高程增加而线性减小的变化规律，NDVI随高程变化的减幅约-0.000 18 m-1，其中3 003 m以下和5 843 m以上区域内NDVI值随高程增加呈线性下降形态，而高程在3 003~5 843 m的样点NDVI实际值偏离拟合值较大；（2）3767 m与5 051 m高程界线将月NDVI分成0.65~0.88、0.17~0.49和0.09~0.24三个值域；（3）三个高程带内植被总体可被划分为2-5月、6-9月、10月至次年1月三个生长时期；（4）高程5 051 m以上区域内NDVI总体呈增加趋势，高程3 767~5 051 m区域内NDVI于6-9月呈下降态势，其余月份均表现为增加形态，而高程3 767 m以下区域内NDVI总体为下降趋势；（5）除32%的样点NDVI主要受高程影响外，51%样点NDVI受降水影响较大（主要分布于3 003~5 843 m之间的区域，尤其是高程位于4 010 m以上的区域），二者相关系数达0.7以上；还有17%样点NDVI受其他因素控制。

关键词： NDVI; 高程; 降水; 雅鲁藏布江

本文引用格式

刘晓婉 , 彭定志 , 徐宗学 . 雅鲁藏布江流域NDVI对高程与降水的相依性研究[J]. 高原气象, 2018 , 37(2) : 349 -357 . DOI: 10.7522/j.issn.1000-0534.2017.00048

Abstract

Spatial discrepancy of vegetation is mainly derived from terrain abnormality and uneven distribution of precipitation. Yarlung Zangbo River basin, situated in the Tibetan autonomous region with great altitude difference, was selected as the case study. With use of moving t mutation test, tendency value computation, Pearson correlation analysis method, spatial and temporal pattern of NDVI and its relationship with elevation and precipitation in the Yarlung Zangbo River basin were investigated by combining the datasets of NDVI, precipitation and elevation within 0.25°×0.25° pixels. The results show that:(1) distribution of NDVI heavily depends on elevation and the relationship between NDVI and elevation is apparently negative with tendency value of -0.000 18 m-1. NDVI of pixels less than 3 003 m and over 5 843 m exhibited in linearly reduction with the elevation increase, while the magnitudes of NDVI in pixels with elevation between 3 003 m and 5 843 m greatly differ with the fitted NDVI using elevation; (2) According to three elevation bands divided by 3 767 m and 5 051 m, the magnitude extent of NDVI are 0.65~0.88, 0.17~0.49 and 0.09~0.24, respectively; (3) Vegetation growth within 12 months can be grossly divided into three phases including February to May, June to September and October to next January; (4) An increasing tendency was detected in NDVI over 5 051 m, and there was a decreasing tendency in NDVI from June to September at pixels located between 3 767 m and 5 051 m, however at less than 3 767 m, NDVI are generally of downward trend; (5) Variability of 32% NDVI are controlled by elevation, but that 51% NDVI are dominated by precipitation with the correlation coefficient over 0.7 mainly distributes between 3 003 m and 5 843 m (especially for the pixels with elevation over 4 010 m in them), and that the leftover 17% NDVI primarily depend on other factors. The findings are expected to provide an insight for local ecological protection and water resources management and be a reference for relevant studies in similar areas.

Key words： NDVI; elevation; precipitation; Yarlung Zangbo River

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