测绘通报 ›› 2022, Vol. 0 ›› Issue (12): 160-164,169.doi: 10.13474/j.cnki.11-2246.2022.0374

• 测绘地理信息技术应用案例 • 上一篇    下一篇

绍兴市地质灾害易发分区研究

骆光飞1, 龚盈盈2, 钱超2, 肖瀚3, 郑丽波3, 王兆远3, 张锦涛3, 叶凌浩3, 刘云波1   

  1. 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
  • 收稿日期:2022-04-12 出版日期:2022-12-25 发布日期:2023-01-05
  • 通讯作者: 叶凌浩。E-mail:y18758256952@163.com
  • 作者简介:骆光飞(1968-),男,教授级高级工程师,主要从事测绘地理信息生产与技术管理工作。E-mail:lgf8501@163.com
  • 基金资助:
    绍兴市地质灾害防治“十四五”规划项目(08021203)

Study on geological disaster-prone zoning in Shaoxing city

LUO Guangfei1, GONG Yingying2, QIAN Chao2, XIAO Han3, ZHENG Libo3, WANG Zhaoyuan3, ZHANG Jintao3, YE Linghao3, LIU Yunbo1   

  1. 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
  • Received:2022-04-12 Online:2022-12-25 Published:2023-01-05

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。

关键词: 地质灾害, 易发分区, 城市规划, 风险指数评价模型

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.

Key words: geological disaster, prone zone, urban planning, risk index evaluation model

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