The Value Of Buildings And Structures For Permafrost Damage Prediction: The Case Of Eastern Russian Arctic
The Value Of Buildings And Structures For Permafrost Damage Prediction: The Case Of Eastern Russian Arctic
复制标题
建筑物和结构对于永久冻土损害预测的价值：俄罗斯东部北极地区的案例
DOI：
10.24057/2071-9388-2021-058
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发表时间：
2021
影响因子：
--
通讯作者：
A. Pankratov
中科院分区：
文献类型：
--
作者：
S. Badina;A. Pankratov
这项研究的相关性在于，需要获得关于俄罗斯北极地区不断变化的冻土条件可能产生的经济后果的可靠信息，找到预防（减少）潜在损害的方法，提高冻土风险最高地区人口和经济的安全，并确保俄罗斯北极永久冻土区长期均衡的社会经济发展。该研究旨在评估固定资产的成本，包括其最脆弱的部分-建筑物和结构（案例研究：俄罗斯北极亚洲部分的市政当局）。根据俄罗斯经济活动标准行业分类，使用原始统计数据-公司会计报告的封闭数据-对经济部门结构进行了评估。这项工作使用了统计、制图和视觉图形方法，以及分析空间信息和微观经济数据的方法。据计算，俄罗斯北极亚洲部门集中了商业公司的固定资产，总价值约为14.8万亿卢布，其中包括价值10.7万亿卢布的建筑物和结构物。所获得的计算数据可用于在气候变化适应和自然灾害的领土保护领域的国家政策的方向建模。
The relevance of the study lay in the need to obtain reliable information on the possible economic consequences of changing geocryological conditions in the Russian Arctic, to find methods for preventing (reducing) potential damage, increasing the safety of the population and economy in the areas of the highest geocryological risks, and ensuring balanced socio-economic development in the Russian Arctic permafrost zone for the long term. The study aimed to assess the cost of fixed assets, including their most vulnerable part – buildings and structures (case study: municipalities of the Russian Arctic Asian sector). Economic sectoral structure was evaluated in accordance with the Russian Standard Industrial Classification of Economic Activities using primary statistical data – closed data from companies accounting reports. The work used statistical, cartographic, and visual-graphic methods, as well as methods for analyzing spatial information and microeconomic data. According to calculations, the Russian Arctic Asian sector concentrates the fixed assets of commercial companies with a total value of about 14.8 trillion rubles, including buildings and structures worth 10.7 trillion rubles. The obtained calculated data can be used in modeling the directions of state policy in the field of climate change adaptation and territory protection from natural hazards.
影响因子：
2.6
作者：
Luis Suter;D. Streletskiy;N. Shiklomanov
通讯作者：
Luis Suter;D. Streletskiy;N. Shiklomanov
影响因子：
6.7
作者：
A. Vasiliev;D. Drozdov;A. Gravis;G. Malkova;K. Nyland;D. Streletskiy
通讯作者：
A. Vasiliev;D. Drozdov;A. Gravis;G. Malkova;K. Nyland;D. Streletskiy
影响因子：
6.7
作者：
Streletskiy, Dmitry A.;Suter, Luis J.;Eliseev, Dmitry O.
通讯作者：
Eliseev, Dmitry O.