Evaluation of Ecological Environment Quality of Dongjiang River Headwaters Based on Remote Sensing Ecological Index During 2000-2019

Zhou Meng; Liu Youcun; Meng Lihong; Jiao Keqin; LI Qi; Zou Xinyi

doi:10.13961/j.cnki.stbctb.2021.04.032

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Evaluation of Ecological Environment Quality of Dongjiang River Headwaters Based on Remote Sensing Ecological Index During 2000-2019

- Evaluation of Ecological Environment Quality of Dongjiang River Headwaters Based on Remote Sensing Ecological Index During 2000-2019
- Bulletin of Soiland Water Conservation Vol. 41, Issue 4, Pages: 231-240(2021)
- 作者机构：
  
  1. 江西理工大学土木与测绘工程学院,江西,赣州,341000
  2. 江西理工大学资源与环境工程学院,江西,赣州,341000
  3. 赣南师范大学地理与环境工程学院,江西,赣州,341000
  4. 中国科学院西北生态环境资源研究院,甘肃,兰州,730000
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2021.04.032
  CLC： X87;X826
- Published：2021
- 稿件说明：
移动端阅览
Zhou Meng, Liu Youcun, Meng Lihong, et al. Evaluation of Ecological Environment Quality of Dongjiang River Headwaters Based on Remote Sensing Ecological Index During 2000-2019[J]. Bulletin of Soiland Water Conservation, 2021, 41(4): 231-240.
DOI：

Zhou Meng, Liu Youcun, Meng Lihong, et al. Evaluation of Ecological Environment Quality of Dongjiang River Headwaters Based on Remote Sensing Ecological Index During 2000-2019[J]. Bulletin of Soiland Water Conservation, 2021, 41(4): 231-240. DOI： 10.13961/j.cnki.stbctb.2021.04.032.

摘要

[目的] 对2000—2019年东江源区域生态环境变化进行分析，从而为该区水源地的保护和利用提供科学依据。[方法] 以东江源为研究对象，选取2000，2004，2009，2014和2019年5期的Landsat影像数据，提取绿度（NDVI）、湿度（WET）、干度（NDBSI）和热度（LST）4项指标，采用主成分分析法与遥感生态指数（RSEI）法，对东江源生态环境质量进行了评价分析。[结果] 2000—2019年研究区的RSEI指数分别为0.356，0.538，0.332，0.608和0.637，生态环境质量呈现上升、下降和上升趋势，总体上生态环境质量明显改善。生态环境较好的区域主要分布在植被覆盖率较高的中部和东南部，较差的区域主要分布在人类活动密切的东部和西北部的城镇区。研究区内优良等级的生态环境质量占主导地位，其面积比例由2000年的0.204 9%上升到2019年的92.346 4%，生态环境明显变好。热度（LST）和干度指标（NDBSI）重心偏移变化较小，为1.616 km和1.482 km，而绿度（NDVI）和湿度指标（WET）受人口密度和开发程度的影响，绿地分布和土壤含水量随着建设用地的开发而开始分散，使偏移量增大。[结论] 在2000—2019年，除城市交通造成周边的环境质量下降外，其余地区较之前都有明显的改善。植被覆盖和城市用地之间的关系是造成东江源生态环境变化的主要成因。

Abstract

[Objective] The ecological environmental changes in the headwaters of Dongjiang River in 2000—2019 were analyzed to provide scientific basis for the protection and utilization of the water source area. [Methods] Based on Landsat image data of 2000

2004

2009

2014 and 2019

four indexes including green degree (NDVI)

humidity (WET)

dryness (NDBSI) and heat (LST) were extracted. Principal component analysis and remote sensing ecological index (RSEI) were used. The ecological environment quality of the headwaters of Dongjiang River was evaluated and analyzed. [Results] From 2000 to 2019

the RSEI index in the study area was 0.356

0.538

0.332

0.608 and 0.637

respectively. The ecological environment quality showed an upward trend

a downward trend and an upward trend. Overall

the ecological environment quality was significantly improved. The regions with better ecological environment were mainly distributed in the central and southeastern areas with higher vegetation coverage

while the regions with worse ecological environment were mainly distributed in the eastern and northwestern urban areas with close human activities. In the study area

the ecological environment quality of excellent level was dominant

and its area proportion had increased from 0.204 9% in 2000 to 92.346 4% in 2019

indicating that the ecological environment had significantly improved. The shift of gravity center of heat (LST) and dryness index (NDBSI) was 1.616 km and 1.482 km

while the shift of green density (NDVI) and moisture index (WET) was affected by population density and development degree. The distribution of green land and soil moisture began to scatter with the development of construction land

which increased the shift. [Conclusion] From 2000 to 2019

except for the deterioration of the surrounding environmental quality caused by urban transportation

the rest of the region had significant improvement compared with the previous period. The relationship between vegetation cover and urban land use was the main cause of ecological environment change in the headwaters of Dongjiang River.

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