黄泛平原河南风蚀易发区生态脆弱性机理及预警机制
Ecological Vulnerability Mechanism and Early Warning Mechanism for Wind-Erosion Prone Areas of the Yellow River Flood Plain in Henan
齐迹 1徐萌 1王塞超 1许丽 1李雪冰 1王天择 1吴卿1
作者信息
- 1. 华北水利水电大学,河南 郑州 450046
- 折叠
摘要
黄河流域生态保护与高质量发展是国家战略的重要组成部分.文章以黄河下游黄泛平原风蚀易发区为研究对象,利用遥感影像和社会经济数据,估算了2000～2020年间风蚀模数.结果表明,河南风蚀易发区面积为13 696.5 km2,风蚀主要由耕地引发,受风功率、降雨、植被覆盖度等多种因素影响.基于风蚀特征和易发机理,选取16个指标对该区生态脆弱性进行评价,发现整体脆弱性较高,但自国家相关战略实施以来,生态环境逐步改善,脆弱性趋于稳定.构建了WL风蚀预警模型,提出基于警情、警源、警兆的预警机制及分级预警,为风蚀防治与生态保护提供技术支持,并为黄河流域的生态保护与高质量发展提供理论依据.
Abstract
Ecological protection and high-quality development in the Yellow River basin are the important part of the national strategies.In the paper,the study focuses on the wind erosion prone areas of the Yellow River flood plain in the lower reaches of the Yellow River.The remote sensing images and the socio-economic data are used for estimation of the wind-erosion modulus of the period from 2000to 2020.The study results indicate that the area of wind-erosion prone area in Henan was 13 696.5 km2,and the wind erosion was mainly aroused from cultivated land and affected by various factors such as wind power,rainfall and vegetation coverage.Based on the characteristics of wind-erosion and prone mechanism,16 indicators are selected to evaluate the ecological vulnerability of the area and the conclusion is that the overall vulnerability is high.However,since the implementation of the State relevant strategies,the ecological environment has been gradually improved and the vulnerability tends to be stable.In the paper,the WL model for early warning of wind-erosion is constructed,and the early warning mechanism and the hierarchical early warning based on the situation,sources and warning signs are proposed,that could provide technical support for wind erosion prevention and ecological conservation,and provide theoretical basis for ecological protection and high quality development of the Yellow River basin.
关键词
黄泛平原/风蚀易发机理/生态脆弱性/预警机制Key words
Yellow River flood plain/wind erosion prone mechanism/ecological vulnerability/early warning mechanism引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据