青藏高原及毗邻山区自然灾害风险地图集(2019-2024)
收藏国家青藏高原科学数据中心2025-03-14 更新2025-04-19 收录
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https://data.tpdc.ac.cn/zh-hans/data/c3c90161-1028-47c7-96ea-16418206c119
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资源简介:
《青藏高原及毗邻山区自然灾害风险地图集》是任务九多次大规模科学考察成果的系统性总结,首次全面的揭示了青藏高原及周边山地灾害体分布与风险格局;阐述了环境、灾害、人类活动的关系、演化与未来风险管控的前景。图集也深入分析了科考一手资料,对典型新老灾害事件与重大城镇、重大工程区风险进行了剖析,分析了灾害成因机理与产生风险的原理,可以支撑未来灾害防治、风险管控工作。地图集内容包括七个图组:序图、孕灾环境、自然灾害分布、典型区自然灾害、典型灾害案例、自然灾害风险、典型区自然灾害风险。共140幅图,含518幅图件,另附对应的文字说明照片。
*Atlas of Natural Disaster Risks in the Qinghai-Tibet Plateau and Adjacent Mountainous Areas* is a systematic summary of the achievements from multiple large-scale scientific expeditions under Task 9. For the first time, it comprehensively reveals the distribution of mountain disaster bodies and the risk pattern across the Qinghai-Tibet Plateau and its surrounding areas. It elaborates on the relationships among environment, disasters and human activities, their evolutionary processes, as well as the prospects for future risk management and control. The atlas also conducts in-depth analyses based on first-hand scientific expedition data, examining the risks posed by typical old and new disaster events, as well as major towns and key engineering zones. It further analyzes the causal mechanisms of disasters and the principles underlying risk generation, providing support for future disaster prevention, mitigation and risk management work. The atlas comprises seven map groups: overview maps, disaster-forming environments, natural disaster distributions, natural disasters in typical regions, typical disaster cases, natural disaster risks, and natural disaster risks in typical regions. It contains a total of 140 maps, encompassing 518 graphic documents, with corresponding written descriptions and photos attached.
提供机构:
唐晨晓
创建时间:
2025-03-04
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是《青藏高原及毗邻山区自然灾害风险地图集(2019-2024)》,基于第二次青藏高原综合科学考察研究,首次系统总结了2019至2024年间青藏高原及周边山区的自然灾害风险分布格局。地图集包含七个图组,共140幅图、518幅图件,以PDF格式提供,内容涵盖孕灾环境、灾害分布、典型案例和风险分析,旨在揭示环境、灾害与人类活动的关系,支持灾害防治和风险管控工作。数据大小为1.11 GB,空间范围覆盖东经66.5°至107.3°、北纬23.1°至40.6°,涉及地质灾害、地震、社会经济等多个主题。
以上内容由遇见数据集搜集并总结生成



