摘要
厘清流域生态环境质量的时空演化特征及其对自然环境和人为因素的响应,对流域生态环境政策实施至关重要.利用谷歌地球引擎建立遥感生态指数(RSEI),结合趋势分析、变异系数和Hurst指数对淮河流域2002~2022年的生态质量时空变化进行评价,并运用地理探测器探究RSEI空间分异性的主要驱动因子.结果表明:(1)近21年淮河流域RSEI总体上改善,但呈阶段性上升-下降趋势,其中差和较差等级面积呈减小趋势,中等级面积呈增加趋势,良和优等级面积呈增加趋势.改善面积占比为55.93%,退化面积占比为22.01%.(2)空间分布上,RSEI整体呈现自东向西逐渐变差的分布特征(西北和西南边缘山区除外).东部稳定性较好,西部和中部稳定性较差.未来流域生态质量变化为反持续性,以改善为主.(3)因子探测结果显示,淮河流域RSEI空间分异主要受到植被因子的驱动作用,其次为海拔.双因子间的交互作用增强了对RSEI空间分异的驱动力,其中植被因子和海拔的交互作用对RSEI空间分异的驱动力最强,达到86.3%.
Clarifying the spatio-temporal evolution of the ecological environment quality of a watershed and its response to the natural environment and human factors are crucial for policy implementation in the ecological environment of the watershed.Using the Google earth engine(GEE)to establish a remote sensing ecological index(RSEI),the spatiotemporal changes in the ecological environment quality of the Huaihe River Basin from 2002 to 2022 were evaluated combined with trend analysis,variation coefficient,and Hurst index.The main driving factors of spatial differentiation of RSEI were explored using the geographic detector.The results showed that:①In the past 21 years,RSEI of the Huaihe River Basin had generally improved,but it showed a gradual upward-downward trend.Overall,the area of poor and less poor grades decreased,the area of medium grades increased,and the area of good and excellent grades increased.The improved area accounted for 55.93%,and the degraded area accounted for 22.01%.②In terms of spatial distribution,RSEI gradually deteriorated from east to west(except in the northwest and southwest marginal mountainous areas).The stability was better in the east and worse in the western and central areas.In the future,the ecological quality change in the basin was prone to be anti-sustainable and mainly improved.③Factor detection results showed that the spatial differentiation of RSEI in the basin was mainly driven by vegetation factors,followed by altitude.The interaction between two factors enhanced the driving force for RSEI spatial differentiation,in which the interaction between vegetation factor and elevation had the strongest driving force for RSEI spatial differentiation,reaching 86.3%.
作者
余慧婕
张方敏
马赫
卢燕宇
YU Hui-jie;ZHANG Fang-min;MA He;LU Yan-yu(Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science&Technology,Nanjing 210044,China;Huaihe River Basin Typical Farm Eco-meteorological Experiment Field,Shouxian National Climatology Observatory,Shouxian 232200,China;Anhui Province Key Laboratory of Atmospheric Science and Satellite Remote Sensing,Anhui Institute of Meteorological Sciences,Hefei 230031,China)
出处
《环境科学》
EI
CAS
CSCD
北大核心
2024年第7期4112-4121,共10页
Environmental Science
基金
江苏省碳达峰碳中和科技创新专项(BK20220017)
中国气象局创新发展专项(CXFZ2023J073)。
