天津师范大学学报（自然科学版）2025，Vol.45Issue(3)：58-67,10.DOI:10.19638/j.issn1671-1114.20250309
基于多源数据的京津冀地区生态环境状况评价与分析
Evaluation and analysis of ecological environment status in Beijing-Tianjin-Hebei region based on multi-source data
摘要
Abstract
To realize the coordinated and sustainable development of social economy and ecological environment in the Bei-jing-Tianjin-Hebei region,the ecological environment status of the Beijing-Tianjin-Hebei region from 2000 to 2020 was calcula-ted based on multi-source data and according to The Technical Specification for Evaluation of Ecological Environment Status(HJ192-2015),and its spatio-temporal variation characteristics were analyzed.The results showed that:① In the past 20 years,the spatial imbalance of eco-environment status of the cities and districts in Beijing-Tianjin-Hebei region was obvious.The eco-environment status index of Chengde and Beijing was relatively high,while the eco-environment index of Langfang and Cangzhou was relatively low.② On the whole,the ecological environment status of the cities in the Beijing-Tianjin-Hebei region showed a stable and good trend.③ The spatial and temporal distribution of eco-environmental status in the Beijing-Tianjin-Hebei region is mainly excellent and good.In 2020,the region with generally good eco-environmental status will account for 45.47％of the total area of the study area,while the region with excellent and average eco-environmental status will account for 38.48％and 15.02％of the total area,respectively.The region with poor ecological environment status only accounted for 1.03％of the study area.The spatial and temporal variation of ecological environment in the study area is quite different,and the ecological environment status around the city and in the topographic and geomorphic transition zone shows a worsening trend.关键词
多源数据/京津冀地区/生态环境状况评价Key words
multi-source data/Beijing-Tianjin-Hebei region/evaluation of ecological environment status分类
生物学引用本文复制引用
艾佳超,宋宜全,杨以琳..基于多源数据的京津冀地区生态环境状况评价与分析[J].天津师范大学学报（自然科学版）,2025,45(3):58-67,10.基金项目
国家科技基础资源调查专项(2019FY202501) （2019FY202501）
天津市研究生科研创新项目(2021YJSS211). （2021YJSS211）
