2001—2020年黄河流域水分利用效率时空变化及其对环境因素的响应

陈凌伟

doi:10.13961/j.cnki.stbctb.2022.05.028

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2001—2020年黄河流域水分利用效率时空变化及其对环境因素的响应

试验研究

- 2001—2020年黄河流域水分利用效率时空变化及其对环境因素的响应
- Spatio-temporal Variation of Water Use Efficiency and Its Responses to Environmental Factors in Yellow River Basin During 2001—2020
- 水土保持通报 2022年42卷第5期页码：222-230
- 作者机构：
  
  唐山师范学院资源管理系,河北,唐山,063000
- 作者简介：
- 基金信息：
  
  河北省社科基金青年项目“京津冀协同发展背景下河北省土地压力测度方法与政策响应研究”(HB18GL067)
- DOI：10.13961/j.cnki.stbctb.2022.05.028
  中图分类号： Q948;F205
- 纸质出版：2022
- 稿件说明：
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陈凌伟. 2001—2020年黄河流域水分利用效率时空变化及其对环境因素的响应[J]. 水土保持通报, 2022,42(5):222-230.

Chen Lingwei. Spatio-temporal Variation of Water Use Efficiency and Its Responses to Environmental Factors in Yellow River Basin During 2001—2020[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 222-230.
陈凌伟. 2001—2020年黄河流域水分利用效率时空变化及其对环境因素的响应[J]. 水土保持通报, 2022,42(5):222-230. DOI： 10.13961/j.cnki.stbctb.2022.05.028.

Chen Lingwei. Spatio-temporal Variation of Water Use Efficiency and Its Responses to Environmental Factors in Yellow River Basin During 2001—2020[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 222-230. DOI： 10.13961/j.cnki.stbctb.2022.05.028.

摘要

[目的] 分析黄河流域生态系统水分利用效率(water utilization efficiency，WUE)的变化情况及其对不同环境因子的敏感度，为认识植被恢复、干旱及气候条和水资源之间的关系，预测未来陆地表面—大气相互作用和陆地生态系统的动态变化提供理论依据。[方法] 基于MODIS GPP和ET数据计算了黄河流域2001—2020年WUE，并结合Theil-Sen趋势法+Mann-Kendall检验法、Hurst指数法、偏相关分析法、结构方程模型和线性回归残差分析法探究了不同土地利用覆盖区域WUE时空动态、未来可能的持续状态以及其对温度植被干旱指数(TVDI)、太阳辐射(RS)和风速(WIN)的响应情况。[结果] ①黄河流域WUE空间分布上呈现出从上游—中游—下游逐渐增加。时间变化上总体以下降趋势为主，且未来一段时期内WUE仍以减弱趋势为主。②上游WUE与WIN，TVDI和RS为正相关性，RS主要通过影响TVDI和WIN来影响WUE；中游TVDI，WIN对WUE负影响较大，RS对WUE的影响不显著；下游WUE主要受到WIN的负影响和RS的正影响，TVDI对WUE的影响不显著。③草地和未利用地区域的WUE与RS呈正相关性，与TVDI和WIN呈负相关性。其他区域WUE与RS，TVDI为正相关性。④黄河流域上游WUE变化主要受到TVDI和WIN的负贡献；中游主要受到RS，TVDI和WIN的正贡献；下游主受到TVDI的正贡献和RS和WIN的负贡献。[结论] 黄河流域WUE未来易受到干旱和气候因素影响，后期研究应在气候因子研究基础上进一步分析月尺度干旱、极端气候等对不同土地利用区WUE的影响。

Abstract

[Objective] The changes in water use efficiency (WUE) of the Yellow River basin ecosystem and its sensitivity to different environmental factors were analyzed in order to understand the relationship between vegetation restoration

drought

climate conditions

and water resources

thereby providing a theoretical basis for predicting future land surface-atmosphere interactions and dynamic changes of terrestrial ecosystems. [Methods] We calculated WUE in the Yellow River basin and determined the temporal and spatial dynamics of WUE in different land use cover areas by combining the Theil Sen trend method + Mann Kendall test

the Hurst index

partial correlation analysis

a structural equation model

and linear regression residual analysis in the future. We determined the WUE response to temperature vegetation drought index (TVDI)

solar radiation (RS)

and wind speed (WIN). [Results] ① The spatial distribution of WUE gradually increased from upstream to midstream

and then to downstream. An overall downward trend was dominant. WUE will continue to be dominated by a weakening trend in the future. ② Upstream WUE was positively correlated with WIN and TVDI. RS had no obvious effect on WUE. TVDI and WIN in the middle reaches had a great negative impact on WUE

and RS was conducive to the improvement of WUE. Downstream WUE was mainly negatively affected by WIN and positively affected by RS

while TVDI had no significant effect on WUE. ③ WUE in grassland and unused land areas was positively correlated with RS

and ncgatively correlated with TVDI and WIN. WUE in other areas was positively correlated with RS and TVDI. ④ Changes in WUE in the upstream region of the Yellow River basin were mainly negatively associated with TVDI and WIN. Changes in WUE in the midstream region were mainly positively associated with RS

TVDI

and WIN. Changes in the downstream region were positively associated with TVDI and negatively associated with RS and WIN. [Conclusion] The WUE of the Yellow River basin will be vulnerable to drought and climate factors in the future. Future studies should further analyze the effects of monthly drought and extreme climate on WUE of different land use areas on the basis of climate factors.

关键词

Keywords

references

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