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明光市土地利用动态变化分析及预测 被引量:3

Analysis and prediction of land use dynamic change of Mingguang City
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摘要 文章利用RS技术分别对明光市1998~2018年共5期遥感影像进行监督分类处理,得到土地利用现状数据并进行分析,结合主成分分析法得出引发土地利用发生演变的驱动力因素,最后采用CA-Markov模型对其2023年的土地利用数据进行预测.结果表明:(1)明光市的土地利用类型主要为其他用地,占总面积的35%以上,建筑用地、水体与林地面积逐年增加,耕地面积基本不变.(2)明光市的土地利用多样性指数保持稳定增加的状态,1998~2018年的景观偏离度指数逐年上升,土地利用变化受自然因素与社会经济因素两个方面影响,其中,经济快速发展的影响程度大于人口迁移变化的影响程度.(3)由预测结果可知,到2023年明光市各类土地类型面积变化逐渐趋向平衡,各用地之间相互转变的幅度相较前几年变小. In this paper,RS technology is used to supervise and classify the five remote sensing images of Mingguang City from 1998 to 2018,and then the land use status data are obtained and analyzed.Combined with the principal component analysis method,the driving factors of land use evolution are obtained.Finally,the CA Markov model is used to predict the land use data in 2023.The results showed that:(1)the land use type of Mingguang City was mainly other land,accounting for more than 35%of the total area.The area of construction land,water body and forest land increased year by year,while the area of cultivated land remained basically unchanged.(2)The land use diversity index of Mingguang City has been increasing steadily,and the landscape deviation index has been increasing from 1998 to 2018.Land use change is affected by natural factors and socio-economic factors.Among them,the impact of rapid economic development is greater than that of population migration.(3)It can be seen from the prediction results that by 2023,the area change of various land types in Mingguang City will gradually tend to be balanced,and the range of mutual transformation between various land uses will be smaller than that in previous years.
作者 白义辉 郭忠臣 吴胜辉 王勤 张慧妮 付伟 BAI Yihui;GUO Zhongchen;WU Shenghui;WANG Qin;ZHANG Huini;FU Wei(School of Environment and Surveying Engineering,Suzhou University,234000,Suzhou,Anhui,PRC)
出处 《曲阜师范大学学报(自然科学版)》 CAS 2021年第3期111-117,共7页 Journal of Qufu Normal University(Natural Science)
基金 国家自然科学基金(41804029) 安徽省高等学校自然科学基金(KJ2019A0670 KJ2019A0667) 安徽省大学生创新创业训练计划(201910379140,201910379141) 宿州学院产学研项目(2020xhx039).
关键词 土地利用动态变化 多样性指数 景观偏离度 主成分分析 驱动力因素 CA-Markov模型 land use dynamic change diversity index landscape deviation principal component analysis driving forces CA-Markov model
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