1999-2018年青海省土地退化遥感监测及其驱动力分析

张博; 周伟; 张福存

doi:10.13961/j.cnki.stbctb.2020.02.017

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1999-2018年青海省土地退化遥感监测及其驱动力分析

试验研究

- 1999-2018年青海省土地退化遥感监测及其驱动力分析
- Remote Sensing Monitoring and Driving Force Analysis of Land Degradation in Qinghai Province from 1999 to 2018
- 水土保持通报 2020年40卷第2期页码：120-128
- 作者机构：
  
  1. 中国地质大学(北京)土地科学技术学院,北京,100083
  2. 自然资源部土地整治重点实验室,北京,100035
  3. 西宁市测绘院,青海,西宁,810001
- 作者简介：
- 基金信息：
  
  国家重点研发计划项目"土地整治与农用地质量监测评价标准"（2017YFF0206801）
- DOI：10.13961/j.cnki.stbctb.2020.02.017
  中图分类号： P237;P941.73
- 纸质出版：2020
- 稿件说明：
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张博, 周伟, 张福存. 1999-2018年青海省土地退化遥感监测及其驱动力分析[J]. 水土保持通报, 2020,40(2):120-128.

Zhang Bo, Zhou Wei, Zhang Fucun. Remote Sensing Monitoring and Driving Force Analysis of Land Degradation in Qinghai Province from 1999 to 2018[J]. Bulletin of Soiland Water Conservation, 2020, 40(2): 120-128.
张博, 周伟, 张福存. 1999-2018年青海省土地退化遥感监测及其驱动力分析[J]. 水土保持通报, 2020,40(2):120-128. DOI： 10.13961/j.cnki.stbctb.2020.02.017.

Zhang Bo, Zhou Wei, Zhang Fucun. Remote Sensing Monitoring and Driving Force Analysis of Land Degradation in Qinghai Province from 1999 to 2018[J]. Bulletin of Soiland Water Conservation, 2020, 40(2): 120-128. DOI： 10.13961/j.cnki.stbctb.2020.02.017.

摘要

[目的] 分析青海省土地退化的动态变化趋势及主要影响因素，为该省生态环境建设工程以及防治土地退化提供理论依据。[方法] 采用ANUSPLIN插值、趋势分析、Hurst指数、残差分析等方法，利用植被降水利用率（RUE）作为土地退化的监测指标。[结果] ①青海省RUE和归一化植被指数（NDVI）空间上主要分布为西北低，东南高。西部主要RUE小于0.004，所占比例40.77%，西北部NDVI小于0.75，所占比例38%。②青海省1999-2006，2006-2012，2012-2018年土地退化各所占比例5.16%，4.25%，14.57%；空间上主要从中部和西部往西北部偏移。③气温、日照时数、平均风速与RUE有明显的正相关，所占比例64%，91%和73%，通过显著性检验的所占比例24%，61%，32%。人类活动对RUE负干扰所占比例为55%。[结论] 青海省1999-2018年土地退化表现为先减少后增加，持续性较弱，导致青海省土地退化面积减少的影响因子主要有日照、平均风速和温度，人类活动也是影响退化的一大因素。

Abstract

[Objective] The dynamic change trend and main influencing factors of land degradation in Qinghai Province was analyzed

in order to provide a theoretical basis for ecological environment construction projects and the prevention of land degradation.[Methods] ANUSPLIN interpolation

trend analysis

Hurst index and residual analysis were employed

and the rainfall use efficiency (RUE) was used as the indicator to monitor land degradation.[Results] ① The spatial distribution of RUE and normalized difference vegetation index (NDVI) in Qinghai Province was mainly lower in the northwest and higher in the southeast. The main RUE in the west was less than 0.004

accounting for 40.77%

and NDVI in the northwest was less than 0.75

accounting for 38%. ② Land degradation of Qinghai Province in 1999-2006

2006-2012

and 2012-2018 accounted for 5.16%

4.25%

and 14.57%

respectively

which was mainly shifted from the middle and west to the northwest. ③ Temperature

sunshine hours

and average wind speed were significantly positively correlated with RUE

accounting for 64%

91%

and 73%

and 24%

61% and 32% of them passed the significance test. The negative interference of human activities on RUE accounted for 55%.[Conclusion] Land degradation in Qinghai Province in 1999-2018 decreased initially and then increased

with a weak sustainability. The influencing factors leading to the reduction of land degradation area in Qinghai Province are mainly sunshine hours

average wind speed and temperature

and human activities were also a major factor affecting land degradation.

关键词

Keywords

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