Dynamic Monitoring of Ecological Environment Quality and Analysis on Its Driving Factors in Upper Reaches of Zhanghe River Basin During 2000—2020

Xin Huichao; Wang Hefeng; Zhang Anbing; PangJiyu; Liu Fenfen

doi:10.13961/j.cnki.stbctb.20230111.002

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Dynamic Monitoring of Ecological Environment Quality and Analysis on Its Driving Factors in Upper Reaches of Zhanghe River Basin During 2000—2020

- Dynamic Monitoring of Ecological Environment Quality and Analysis on Its Driving Factors in Upper Reaches of Zhanghe River Basin During 2000—2020
- Bulletin of Soiland Water Conservation Vol. 43, Issue 1, Pages: 92-103(2023)
- 作者机构：
  
  1. 河北工程大学矿业与测绘工程学院,河北,邯郸,056038
  2. 河北省水生态文明及社会治理研究中心,河北,邯郸,056038
  3. 邯郸职业技术学院,河北,邯郸,056001
  4. 河北工程大学地球科学与工程学院,河北,邯郸,056038
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.20230111.002
  CLC： X87;X821
- Published：2023
- 稿件说明：
移动端阅览
Xin Huichao, Wang Hefeng, Zhang Anbing, et al. Dynamic Monitoring of Ecological Environment Quality and Analysis on Its Driving Factors in Upper Reaches of Zhanghe River Basin During 2000—2020[J]. Bulletin of Soiland Water Conservation, 2023, 43(1): 92-103.
DOI：

Xin Huichao, Wang Hefeng, Zhang Anbing, et al. Dynamic Monitoring of Ecological Environment Quality and Analysis on Its Driving Factors in Upper Reaches of Zhanghe River Basin During 2000—2020[J]. Bulletin of Soiland Water Conservation, 2023, 43(1): 92-103. DOI： 10.13961/j.cnki.stbctb.20230111.002.

摘要

[目的] 探究漳河上游生态环境质量时空变化特征及其驱动因素，为该区域生态环境建设与治理提供科学依据。[方法] 优化重构2000—2020年漳河上游Landsat影像，基于遥感生态指数(RSEI)，引入坡度(slope)、归一化山地植被指数(NDMVI)、颗粒物浓度(DI)3项指标，构建考虑地形和颗粒物影响的改进型遥感生态指数(advanced RSEI，ARSEI)模型，辅以多种空间分析和统计方法对研究区生态环境质量进行定量评价。[结果] ①ARSEI具有较好适用性，能够准确地表征漳河上游生态环境质量状况。NDMVI对ARSEI影响最大，DI最小。 ②研究区生态环境质量整体呈“西南差、东北优”的空间格局，等级以较差和中等为主；研究期内，35.94%的区域表现为改善，并以改善1个等级为主，其中2010—2020年改善最为显著，变化格局呈“整体稳定，局部改变”的特点。 ③不同类型因子的影响力排序为：模型因子＞地形因子＞气象因子＞社会因子＞经济因子；所有影响因子均表现为协同增强作用，NDSI，NDMVI和slope的共同作用下对ARSEI空间异质性的影响最大。[结论] 漳河上游2000—2020年ARSEI均值整体呈上升趋势，生态环境质量得到改善，其变化主要驱动因素为绿度和坡度。

Abstract

[Objective] The spatiotemporal variation characteristics of ecological environment quality and its driving factors in the upper reaches of Zhanghe River basin were analyzed in order to provide a scientific basis for ecological environment construction and management of the region. [Methods] The Landsat images of the upper reaches of Zhanghe River basin from 2000 to 2020 was optimized and reconstructed. Based on remote sensing ecological index (RSEI)

three indicators of slope

normalized difference mountain vegetation index (NDMVI) and difference index (DI) were introduced to construct the advanced remote sensing ecological index (ARSEI) model considering the impact of topography and particulate matter. Spatial analysis and statistical methods were used to quantitatively evaluate the ecological environment quality of the study area. [Results] ① ARSEI has good applicability

and can accurately indicate the ecological environment quality in the upper reaches of Zhanghe River basin. NDMVI had the greatest influence on ARSEI

and DI was the least. ② The overall ecological environment quality showed a spatial pattern of “poor in southwest and excellent in northeast”

and the grades were mainly poor or moderate. During the study period

35.94% of the regions showed improvement

mainly by one grade

of which the improvement from 2010 to 2020 was the most significant

and the change pattern was characterized by “overall stability and local change”. ③ The influence order of different types of factors was model factor ＞ topography factor ＞ meteorological factor ＞ social factor ＞ economic factor. All of the influence factors showed synergistic enhancement

and the interaction of NDSI

NDMVI and slope had the greatest influence on the spatial heterogeneity of ARSEI. [Conclusion] The average value of ARSEI in the upper reaches of Zhanghe River basin showed an overall increasing trend during 2000—2020

and the ecological environment quality was improved. The main driving factors for the change were NDMVI and slope.

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