露天矿测绘对周边城区环境破坏因素建模研究

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英文篇名：Modeling of Environmental Damage Factors in Surrounding Urban Areas by Open-pit Mine Surveying and Mapping 作者：张志强 英文作者：Zhang Zhiqiang;Qinghai Bureau of Environmental Geology Exploration;Qinghai Key Laboratory of environmental geology;Qinghai Geological Environment Protection and Disaster Prevention Engineering Technology Research Center; 关键词：露天矿 ; 测绘 ; 周边 ; 城区 ; 环境 英文关键词：opencast mine;;surveying and mapping;;surrounding;;urban area;;environment 中文刊名：环境科学与管理 英文刊名：Environmental Science and Management 机构：青海省环境地质勘查局;青海省环境地质重点实验室;青海省地质环境保护和灾害防治工程技术研究中心; 出版日期：2019-04-15 出版单位：环境科学与管理 年：2019 期：04 语种：中文; 页：64-68 页数：5 CN：23-1532/X ISSN：1674-6139 分类号：X751

摘要

采用采样与实验方式对城区室外与室内环境破坏数据进行采集,利用聚类方法对采集到的数据进行处理,以处理后的数据为基础生成GF多光谱影像,对其进行校正得到真实的遥感反射率。将真实的遥感反射率进行转换并分类,采用环境破坏因素识别算法对遥感反射率数据进行识别,实现了对周边城区环境破坏因素的识别。经过实验得到,建立的环境破坏因素识别模型的识别正确率比传统模型高出38%,说明建立的环境破坏因素识别模型具有极高的有效性。
        Therefore, the modeling study of environmental damage factors in surrounding urban areas by surface mine surveying and mapping is proposed. Water resource is the most destructive factor to the surrounding urban environment in open-pit mine surveying and mapping, so the main factor to identify the destructive factors of water resource is water resource. The instrument is used to collect and process the outdoor and indoor water resources data in urban area. Based on the processed data, the GF multispectral image is generated, and the real remote sensing reflectance is obtained by correcting the data. The real remote sensing reflectance is transformed and classified, and the remote sensing reflectance data is identified by using the recognition algorithm of environmental damage factors, which realizes the identification of environmental damage factors in surrounding urban areas. The experimental results show that the recognition accuracy of the established model is 38% higher than that of the traditional model, which shows that the established model is highly effective.

引文

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