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首页> 外文期刊>Geomatics,Natural Hazards & Risk >Establishing a georeferenced spatio-temporal database for Chinese coal mining accidents between 2000 and 2015
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Establishing a georeferenced spatio-temporal database for Chinese coal mining accidents between 2000 and 2015

机译：建立2000年至2015年中国煤炭矿业事故的地理位置时空数据库

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摘要

China is a major coal producing country, and also one of the countries which has the most serious coal mine accidents around the world. As a result of geological conditions, underground mining is the main way that coal is exploited in China; serious underground disasters and the corresponding fatality rate are much higher than is the case for surface mining. Although safer modern underground mining methods have been introduced across China, accidents still lead to fatalities and the loss of revenue in some mines. It is important to establish a georeferenced coal mine disasters (CMD) database to aid researchers and decision makers in better understanding the spatio-temporal distribution of such accidents across in China. This study has proposed a method to develop a georeferenced spatio-temporal CMD database via a geographic information system (GIS) platform based on statistical data released by the State Administration of Coal Mine Safety (SACMS) for the period between 2000 and 2015. The different levels and spatio-temporal characteristics of coal mining accidents were analyzed, and the space-time scan statistic permutation (STSSP) model was carried out to detect the CMD clusters; and finally, a spatio-temporal cluster analysis of Chinese coal mining accidents in 2000 and 2015 was conducted.
机译：中国是一个主要的煤炭生产国家，也是世界上最严重的煤矿事故的国家之一。由于地质条件，地下采矿是煤炭在中国开采的主要方式;严重的地下灾害和相应的死亡率远远高于表面挖掘的情况。虽然在中国引入了更安全的现代地下采矿方法，但事故仍然导致一些地雷的死亡率和收入损失。重要的是建立地理学煤矿灾害（CMD）数据库，以帮助研究人员和决策者更好地了解中国此类事故的时空分布。本研究提出了一种方法，可以通过基于国家煤矿安全（SACMS）的统计数据在2000和2015年期间，通过地理信息系统（GIS）平台开发地理信息系统（GIS）平台进行地理信息系统（GIS）平台。不同的分析了煤矿事故的水平和时空特征，并进行了时空扫描统计置换（STSSP）模型以检测CMD簇;最后，进行了2000年和2015年中国煤炭矿业事故的时空聚类分析。

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