Articles | Volume 25, issue 5
https://doi.org/10.5194/nhess-25-1597-2025
https://doi.org/10.5194/nhess-25-1597-2025
Research article
 | 
07 May 2025
Research article |  | 07 May 2025

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

Danhua Xin, James Edward Daniell, Zhenguo Zhang, Friedemann Wenzel, Shaun Shuxun Wang, and Xiaofei Chen

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Cited articles

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Aubrecht, C. and León Torres, J. A.: Top-down identification of mixed vs. residential use in urban areas: Evaluation of remotely sensed nighttime lights for a case study in Cuenca City, Ecuador, 1st International Electronic Conference on Remote Sensing, online, 22 June–5 July 2015, MDPI, Basel, Switzerland, 1–7, https://doi.org/10.3390/ecrs-1-d005, 2015. 
Balk, D. and Yetman, G.: The global distribution of population: evaluating the gains in resolution refinement, Center for International Earth Science Information Network, Columbia University, Palisades, New York, USA, https://sedac.ciesin.columbia.edu/downloads/docs/gpw-v3/gpw3_documentation_final.pdf (last access: 25 April 2025), 2004. 
Bhaduri, B., Bright, E., Coleman, P., and Urban, M. L.: LandScan USA: a high-resolution geospatial and temporal modeling approach for population distribution and dynamics, GeoJournal, 69, 103–117, https://doi.org/10.1007/s10708-007-9105-9, 2007. 
Bilham, R.: Lessons from the Haiti earthquake, Nature, 463, 878–879, 2010. 
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Short summary
A high-resolution fixed-asset model can help improve the accuracy of earthquake loss assessment. We develop a grid-level fixed-asset model for China from 1951 to 2020. We first compile the provincial-level fixed asset from yearbook-related statistics. Then, this dataset is disaggregated into 1 km × 1 km grids by using multiple remote sensing data as the weight indicator. We find that the fixed-asset value increased rapidly after the 1980s and reached CNY 589.31 trillion in 2020.
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