2000—2020年漳河上游生态环境质量动态监测及驱动因素分析  

Bulletin of Soil and Water Conservation,2023,43(1):92-103.Dynamic Monitoring of Ecological Environment Quality and Analysis on Its Driving Factors in Upper Reaches of Zhanghe River Basin During 2000-2020

作　　者：辛会超 王贺封 张安兵 庞吉玉 刘粉粉 Xin Huichao;Wang Hefeng;Zhang Anbing;Pang Jiyu;Liu Fenfen(School of Mining and Geomatics Engineering,Hebei University of Engineering,Handan,Hebei 056038,China;Research Center of Water Ecological Civilization and Social Governance of Hebei Province,Handan,Hebei 056038,China;Handan Polytechnic College,Handan,Hebei 056001,China;School of Earth Science and Engineering,Hebei University of Engineering,Handan,Hebei 056038,China)

机构地区：[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

出　　处：《水土保持通报》2023年第1期92-103,共12页Bulletin of Soil and Water Conservation

基　　金：国家自然科学基金项目“农业干旱时滞效应及时空分布干旱监测模型研究”(42071246);教育部人文社科青年基金项目(19YJCZH155);河北省自然科学基金项目(E2020402006);河北省自然基金委重点项目(D2021402007)。

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。[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]①ARSEI 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.②The 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”.③The 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.

关 键 词：改进型遥感生态指数 生态环境质量 时空变化 驱动因素 漳河上游 

分 类 号：X821[环境科学与工程—环境工程] X87