金沙江中游水电站对植被时空变化 的影响
DOI:
CSTR:
作者:
作者单位:

1.昆明理工大学国土资源工程学院;2.中国科学院武汉植物园

作者简介:

通讯作者:

中图分类号:

Q948??????????

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Effect of hydropower station on vegetation temporal and spatial change in the middle reaches of Jinsha River
Author:
Affiliation:

College of Land and Resources Engineering,Kunming University of Science and Technology

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    [目的] 探究水电站群对植被时空变化的影响,阐明植被变化对水电站建设和气候因子的响应关系,为区域可持续发展和水电站可持续运营提供可靠的科学依据。[方法]本文利用归一化植被指数(NDVI)来反映植被变化,以谷歌地球引擎(GEE)为运算平台,耦合ModTrendr算法、Theil Sen-MK、贡献度分析、偏相关分析方法探究2000—-2022年金沙江中游水电站对植被时空变化的影响,并分析气候在其中的效应。[结果](1)负向突变集中于2011-2014年,突变区域集中于集水区。正向突变集中于2015年和2017年,突变区域集中于河岸5 km缓冲区范围内。植被产生积极响应的时间为蓄水后1—4年,突变强度沿河岸向外逐渐减弱;(2)各水电站周边植被NDVI整体呈现上升趋势(0.0002-0.0028/a),在建设前、建设中、运营后呈现升(平缓)—-降—-升趋势;(3)区域植被变化主要受到人类活动(水电站建设)与气候变化的共同作用,可解释度达69.12%,人类活动的贡献度远高于气候变化的贡献度。(4)温度、降水与NDVI偏相关系数分别为-0.28和-0.29,温度、降水在水电站不同阶段偏相关系数差别较大,表明水电站会影响区域气候。[结论]水电站在修建期间对植被造成消极影响,运营后对植被产生积极影响。,水电站建设对植被的影响高于气候变化的影响,且水电站的修建可能会影响局部气候,温度和降水与植被NDVI整体相关性降低。

    Abstract:

    [Objective] To explore the effects of hydropower stations on the temporal and spatial changes of vegetation, clarify the response relationship of vegetation changes to hydropower station construction and climate factors, and provide a reliable scientific basis for regional sustainable development and sustainable operation of hydropower stations. [Methods] In this paper, the normalized vegetation index (NDVI) was used to reflect vegetation change. Google Earth Engine (GEE) was used as the computing platform, coupled with ModTrendr algorithm, Theil Sen-MK, contribution degree analysis and partial correlation analysis methods to explore the effects of hydropower stations in the middle reaches of the Jinsha River on the spatial-temporal changes of vegetation during 2000-2022. And analyze the effect of climate in it. [Results] (1) The negative mutations were concentrated from 2011 to 2014, and the mutation area was concentrated in the catchment area. The forward mutation was concentrated in 2015 and 2017, and the mutation area was concentrated within the 5-km buffer zone of the riverbank. The time for vegetation to produce positive response was 1-4 years after impounded water, and the mutation intensity gradually weakened along the riverbank. (2) The vegetation NDVI around each hydropower station presents an overall upward trend (0.0002-0.0028/a), and an upward (gentle) -- downward -- upward trend before, during and after construction; (3) The regional vegetation change is mainly caused by the joint action of human activities (hydropower station construction) and climate change, and the explanation degree is 69.12%. The contribution of human activities is much higher than the contribution of climate change. (4) The partial correlation coefficients of temperature, precipitation and NDVI are -0.28 and -0.29, respectively. The partial correlation coefficients of temperature and precipitation differ greatly in different stages of hydropower station, indicating that hydropower station will affect regional climate. [Conclusion] Hydropower station has a negative impact on vegetation during construction and a positive impact on vegetation after operation. The impact of hydropower station construction on vegetation is higher than that of climate change, and the construction of hydropower station may affect local climate, and the overall correlation between temperature and precipitation and vegetation NDVI decreases.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2024-07-17
  • 最后修改日期:2024-08-29
  • 录用日期:2024-09-14
  • 在线发布日期: 2025-01-09
  • 出版日期:
文章二维码