Evolution of Desertification Types on the North Shore of Qinghai Lake

IF 2 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI:10.32604/cmc.2022.023195
W. Yu, Jintao Cui, Yang Gao, M. Zhu, L. Shao, Yanbo Shen, Xiaozhao Zhang, Chen Guo, Hanxiaoya Zhang
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引用次数: 4

Abstract

Land desertification is a widely concerned ecological environment problem. Studying the evolution trend of desertification types is of great significance to prevent and control land desertification. In this study, we applied the decision tree classification method, to study the land area and temporal and spatial change law of different types of desertification in the North Bank of Qinghai Lake area from 1987 to 2014, based on the current land use situation and TM remote sensing image data of Haiyan County, Qinghai Province, The results show that the area of mild desertification land and moderate desertification land in the study area has decreased, while the area of severe desertification land and extreme desertification land has increased significantly in the past 30 years. The area of desertification land decreased by 4.02 km2, of which the area of mild and moderate desertification land decreased by 39.73 km2 and 36.8 km2 respectively, and the area of severe and extreme desertification land increased by 32.78 km2 and 39.73 km2 respectively. As for the mutual transformation relationship, the transformation from severe desertification land to extreme desertification land is the main, and the junction of severe desertification land and extreme desertification land is the sensitive area of transformation. In the north shore of Qinghai Lake, the sandy land tends to expand eastward. The research provides reference basis for local land desertification monitoring, and has a great guidance for local effective land desertification and soil and water conservation.
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青海湖北岸沙漠化类型演变
土地沙漠化是一个受到广泛关注的生态环境问题。研究土地沙漠化类型的演变趋势对防治土地沙漠化具有重要意义。在这项研究中,我们应用决策树分类方法,研究土地面积和时空变化规律的不同类型的荒漠化在青海湖北岸地区从1987年到2014年,基于土地利用现状和TM遥感图像数据的海盐县,青海省,结果表明,轻度沙漠化土地和中度沙漠化土地的面积在研究领域有所下降,而重度沙漠化土地和极端沙漠化土地的面积在近30年显著增加。荒漠化土地面积减少4.02 km2,其中轻度和中度荒漠化土地面积分别减少39.73 km2和36.8 km2,重度和极端荒漠化土地面积分别增加32.78 km2和39.73 km2。在相互转化关系上,以重度沙化土地向极端沙化土地的转化为主体,重度沙化土地与极端沙化土地的交界处是转化的敏感区。在青海湖北岸,沙地有向东扩展的趋势。该研究为当地土地沙漠化监测提供了参考依据,对当地有效的土地沙漠化和水土保持具有重要的指导意义。
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来源期刊
Cmc-computers Materials & Continua
Cmc-computers Materials & Continua 工程技术-材料科学:综合
CiteScore
5.30
自引率
19.40%
发文量
345
审稿时长
1 months
期刊介绍: This journal publishes original research papers in the areas of computer networks, artificial intelligence, big data management, software engineering, multimedia, cyber security, internet of things, materials genome, integrated materials science, data analysis, modeling, and engineering of designing and manufacturing of modern functional and multifunctional materials. Novel high performance computing methods, big data analysis, and artificial intelligence that advance material technologies are especially welcome.
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