| 绍兴市地质灾害易发分区研究 |
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| 引用本文： | 骆光飞,龚盈盈,钱超,肖瀚,郑丽波,王兆远,张锦涛,叶凌浩,刘云波.绍兴市地质灾害易发分区研究[J].测绘通报,2022,0(12):160. |
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| 作者姓名： | 骆光飞 龚盈盈 钱超 肖瀚 郑丽波 王兆远 张锦涛 叶凌浩 刘云波 |
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| 作者单位： | 1. 浙江省测绘科学技术研究院, 杭州 311100;2. 绍兴市自然资源和规划局, 绍兴 312000;3. 绍兴文理学院土木工程学院, 绍兴 312000 |
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| 基金项目： | 绍兴市地质灾害防治“十四五”规划项目（08021203） |
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| 摘 要： | 为了对绍兴市的地质灾害易发风险性进行定量评估，本文借助GIS软件对绍兴市进行网格划分，构建地质灾害易发风险性评价指标体系和指数评价模型。通过对地质灾害进行定量评估，将绍兴市地质灾害易发程度划分为高、中、低、不易发4个等级，并绘制了绍兴市地质灾害易发性分区成果图。研究成果支撑绍兴市地质灾害防治“十四五”规划，服务于绍兴市的地质灾害防治管理和决策。
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| 关 键 词： | 地质灾害 易发分区 城市规划 风险指数评价模型 |
| 收稿时间： | 2022-04-12 |
Study on geological disaster-prone zoning in Shaoxing city |
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| LUO Guangfei,GONG Yingying,QIAN Chao,XIAO Han,ZHENG Libo,WANG Zhaoyuan,ZHANG Jintao,YE Linghao,LIU Yunbo.Study on geological disaster-prone zoning in Shaoxing city[J].Bulletin of Surveying and Mapping,2022,0(12):160. |
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| Authors: | LUO Guangfei GONG Yingying QIAN Chao XIAO Han ZHENG Libo WANG Zhaoyuan ZHANG Jintao YE Linghao LIU Yunbo |
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| Institution: | 1. Zhejiang Academy of Surveying and Mapping Science and Technology, Hangzhou 311100, China;2. Shaoxing Bureau of Natural Resources and Planning, Shaoxing 312000, China;3. School of Civil Engineering, Shaoxing University, Shaoxing 312000, China |
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| Abstract: | In order to quantitatively assess the geological disaster risk, with the help of GIS software, Shaoxing city is divided into grids, and the evaluation index system and index evaluation model of geological disaster risk are constructed in this paper. Through the quantitative evaluation of geological disasters in Shaoxing city, the vulnerability degree of geological disasters in Shaoxing city is finally divided into four grades:high, medium, low and not easy, and the zoning achievement map of the vulnerability of geological disasters in Shaoxing city is drawn. The research results support the "14th five-year plan" of Shaoxing city geological disaster prevention and control, and serve Shaoxing city geological disaster prevention and control management and decision-making. |
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| Keywords: | geological disaster prone zone urban planning risk index evaluation model |
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