长江科学院院报 ›› 2022, Vol. 39 ›› Issue (9): 49-55.DOI: 10.11988/ckyyb.20210505

• 水土保持与生态修复 • 上一篇    下一篇

南水北调中线工程水源区植被时空演化特征

李鹏傲1,2, 姜永涛2, 戚鹏程2, 王丽美2   

  1. 1.河南理工大学 测绘与国土信息工程学院,河南 焦作 473061;
    2.南阳师范学院 自然灾害遥感监测河南省高校重点实验室,河南 南阳 473061
  • 收稿日期:2021-05-21 修回日期:2021-08-14 出版日期:2022-09-01 发布日期:2022-09-21
  • 通讯作者: 姜永涛(1985-),男,山东菏泽人,讲师,博士,从事植被生态遥感监测研究。E-mail:jytwlm@nynu.edu.cn
  • 作者简介:李鹏傲(1998-),男,河北辛集人,硕士研究生,主要从事地理信息科学研究。E-mail:lipengaofly@163.com
  • 基金资助:
    国家自然科学基金项目(U1304402);2019年度河南省自然资源科研项目(豫财招标购-2019-378-16);南阳师范学院校级科研项目(208251);河南省科研服务平台专项(2016151)

Spatio-temporal Evolution Characteristics of Vegetation in Water Source Area of the Middle Route Project of South-to-North Water Diversion

LI Peng-ao1,2, JIANG Yong-tao2, QI Peng-cheng2, WANG Li-mei2   

  1. 1. School of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 473061, China;
    2. Key Laboratory of Natural Disaster and Remote Sensing of Universities across Henan Province, Nanyang Normal University,Nanyang 473061,China
  • Received:2021-05-21 Revised:2021-08-14 Online:2022-09-01 Published:2022-09-21

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摘要： 研究南水北调中线水源区植被时空分布和演化特征,对水源区生态环境保护与社会经济长期稳定发展具有重要意义。利用2010—2019年南水北调中线水源区中分辨率成像光谱仪(MODIS)归一化植被指数(NDVI)数据,基于NDVI最大值合成和一元线性回归方法研究水源区植被时空演化特征,并结合水源区地表温度、降水与土壤湿度等数据探讨植被变化原因。结果表明:①水源区NDVI空间分布与地形强相关,2010—2019年,水源区NDVI均值为整体上升趋势;②2013—2015年水源区NDVI呈现显著的“下降-恢复”特征,可能与2014年水源区地表温度和降水异常导致的旱情、2015年水源区降水恢复以及丹江口水库蓄水水位上升有关;③2010—2019年,水源区植被发生显著变化的区域主要集中在低海拔的人口密集区,反映这些地区的植被更易受气候变化、城镇扩张和“退耕还林、植树造林”政策的影响。此外,南水北调中线工程通水后,丹江口水库水位上升是导致水库区域NDVI降低的原因。研究结果可为南水北调中线水源区生态环境保护提供科学依据。

关键词: 植被时空演化, 南水北调中线工程, 水源区, MODIS, NDVI

Abstract: The spatio-temporal evolution of vegetation in the water source area of the middle route project of South-to-North Water Diversion is researched via data processing and analysis using ArcMap software and Unary Linear Regression Model based on the Moderate-resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) data in 2010—2019.The causes of vegetation change are also discussed in association with the data of surface temperature,precipitation and soil humidity in the water source area.Results manifest that (1) the distribution of NDVI in the source area is strongly correlated with terrain.From 2010 to 2019,the mean value of NDVI displayed a steady upward trend.(2) From 2013 to 2015,NDVI showed a notable decrease-recovery trend,which is possibly related to the extreme drought due to land surface temperature and precipitation anomalies in 2014,the restoration of precipitation and the increase in the water level of Danjiangkou Reservoir in 2015.(3) From 2010 to 2019,the areas with significant changes in NDVI mainly concentrated in low-altitude densely populated areas,indicating that the vegetation in these areas is more susceptible to climate change,urban expansion and the policy of “farm land returning to woodland and planting trees”.In addition,the rising of the water level of Danjiangkou Reservoir after the running of middle route project led to the reduction of NDVI in the reservoir area.The research findings offer scientific basis for the restoration and protection of natural vegetation in the water source area of the Middle Route Project of South-to-North water diversion.

Key words: spatial-temporal variation of vegetation, Middle Route Project of South-to-North Water Diversion, water source area, MODIS, NDVI

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