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A grid-level fixed-asset model developed for China from 1951 to 2020

Xin, Danhua; Daniell, James Edward 1,2; Zhang, Zhenguo; Wenzel, Friedemann 1,2; Wang, Shaun Shuxun; Chen, Xiaofei
1 Geophysikalisches Institut (GPI), Karlsruher Institut für Technologie (KIT)
2 Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruher Institut für Technologie (KIT)

Abstract:

To better aid quick and accurate assessment of economic loss after the occurrence of future damaging earthquakes, we developed a grid-level fixed-asset model for China covering the period from 1951 to 2020. The modelling process can be divided into two stages: (1) the compilation of provincial-level fixed-asset data series using the perpetual inventory method (PIM) and fixed-asset-related statistics and (2) the disaggregation of provincial-level fixed assets into grid-level assets (1 km×1 km resolution) using different combinations of remote sensing ancillary data (i.e. nighttime light, built-up surface area, population) for different periods, considering their temporal availability. As of 2020, the total estimated value of fixed assets in China reached CNY 589.31 trillion (at 2020 price levels). Consistency checks have been performed by comparing our modelled fixed assets with those from other studies and data sources at different administrative levels, and good consistency has been achieved. An application to the direct economic loss estimation of the 2023 Ms 6.2 Jishishan Earthquake that occurred in Gansu Province, China, is also presented to demonstrate the potential of the developed fixed-asset data for future damaging earthquake loss estimation in China. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000182541
Veröffentlicht am 27.06.2025
Originalveröffentlichung
DOI: 10.5194/nhess-25-1597-2025
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Center for Disaster Management and Risk Reduction Technology (CEDIM)
Geophysikalisches Institut (GPI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 1561-8633, 1684-9981
KITopen-ID: 1000182541
Erschienen in Natural Hazards and Earth System Sciences
Verlag European Geosciences Union (EGU)
Band 25
Heft 5
Seiten 1597 – 1620
Vorab online veröffentlicht am 07.05.2025
Nachgewiesen in Dimensions
Web of Science
OpenAlex
Scopus
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