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海河流域生态环境对气象干旱和人类活动的响应
摘要点击 257  全文点击 4  投稿时间:2025-03-20  修订日期:2025-05-21
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中文关键词  改进型遥感生态指数(IRSEI)  海河流域  生态环境  气象干旱  人类活动
英文关键词  improved remote sensing ecological index(IRSEI)  Haihe River Basin  ecological environment  meteorological drought  human activity
DOI  10.13227/j.hjkx.202503239
作者单位E-mail
左仕一 河北师范大学地理科学学院, 石家庄 050024
河北省环境变化遥感识别技术创新中心, 石家庄 050024
河北省环境演变与生态建设省级重点实验室, 石家庄 050024 
zuoshiyi2023@163.com 
胡支涛 河北师范大学地理科学学院, 石家庄 050024
河北省环境变化遥感识别技术创新中心, 石家庄 050024
河北省环境演变与生态建设省级重点实验室, 石家庄 050024 
 
安婧雪 河北师范大学地理科学学院, 石家庄 050024
河北省环境变化遥感识别技术创新中心, 石家庄 050024
河北省环境演变与生态建设省级重点实验室, 石家庄 050024 
 
戴自扬 河北师范大学地理科学学院, 石家庄 050024
河北省环境变化遥感识别技术创新中心, 石家庄 050024
河北省环境演变与生态建设省级重点实验室, 石家庄 050024 
 
李洁 河北师范大学地理科学学院, 石家庄 050024
河北省环境变化遥感识别技术创新中心, 石家庄 050024
河北省环境演变与生态建设省级重点实验室, 石家庄 050024 
 
马燕飞 河北师范大学地理科学学院, 石家庄 050024
河北省环境变化遥感识别技术创新中心, 石家庄 050024
河北省环境演变与生态建设省级重点实验室, 石家庄 050024 
mayf@hebtu.edu.cn 
中文摘要
      随着气候变化的加剧和生态工程的开展,研究生态环境对气象干旱和人类活动如何响应至关重要. 目前相关研究多局限于归一化植被指数(NDVI)和总初级生产力(GPP)等单一要素指标,但是生态环境由诸多要素构成,集合多要素的改进型遥感生态指数(IRSEI)和其他指标有何响应差异,仍然缺乏进一步研究. 选择海河流域这一典型区域作为研究区,首先使用Sen+Mann-Kendall 趋势分析法分析了2001~2020年NDVI、GPP和IRSEI等生态环境评价指标的变化趋势;然后再结合标准化降水蒸散指数(SPEI)等数据,使用Pearson相关性分析和牛顿拉夫逊算法优化后的极端梯度提升(NRBO-XGBoost)模型等方法探讨了不同生态环境评价指标对气象干旱及人类活动的响应. 结果表明:①与传统RSEI相比,IRSEI在海河流域具有明显优势,可有效比较年际差异,突出长时序生态环境的变化情况. ②NDVI、GPP和IRSEI分别有85.72%、94.32%和78.77%的区域呈现上升趋势,且多分布在流域西部和北部山区以及西北部的高原等地区. ③生态环境对各个季节气象干旱的响应具有明显差异. 对夏季和冬季气象干旱分别具有最明显的正向和负向响应;对春秋季节气象干旱的响应相对微弱. ④人类活动驱动生态环境变化差异显著. 人类活动对生态环境的改善程度依次为:草地>森林>灌木>农田>不透水面;其中不透水面呈现出改善与退化并存的特点. 研究结果可以为海河流域生态环境保护与可持续发展提供决策参考.
英文摘要
      With the intensification of climate change and the implementation of ecological engineering, it is crucial to study how the ecological environment responds to meteorological drought and human activities. Currently, relevant research is largely limited to single-element indicators such as the normalized difference vegetation index (NDVI) and gross primary productivity (GPP). However, the ecological environment consists of multiple elements, and there is still a lack of further research on the response differences between the improved remote sensing ecological index (IRSEI) that integrates multiple elements and other indices. Therefore, the Haihe River Basin, a typical region, has been selected as the study area. First, the Sen+Mann-Kendall trend analysis method was employed to analyze the changing trends of ecological environment assessment indicators such as NDVI, GPP, and IRSEI from 2001 to 2020. Then, combined with data such as the standardized precipitation evapotranspiration index (SPEI), Pearson correlation analysis and the NRBO-XGBoost model were used to explore the responses of different ecological environment assessment indices to meteorological drought and human activities. The results indicated that: ① Compared to the traditional RSEI, IRSEI had clear advantages in the Haihe River Basin, effectively comparing interannual differences and highlighting changes in the ecological environment over long periods. ② NDVI, GPP, and IRSEI showed upward trends in 85.72%, 94.32%, and 78.77% of the areas, respectively, with many located in the western and northern mountainous regions of the basin and in the plateaus in the northwest. ③ The ecological environment showed significant differences in response to meteorological drought across different seasons, with the most obvious positive and negative responses in summer and winter, respectively; the response to spring and autumn meteorological droughts was relatively weak. ④ The impact of human activities on ecological environment changes was significant, with the degree of improvement from human activities ranked as follows: grasslands > forests > shrubs > cropland > impermeable surfaces, in which impermeable surfaces exhibited both improvement and degradation characteristics. The research findings can provide decision-making references for the ecological environment protection and sustainable development of the Haihe River Basin.

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