Jia Cheng

Prof. Dr. Jia Cheng

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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 September 2017 in Bulletin of the Seismological Society of America
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Journal Article
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JCJia Cheng
Jia Cheng
YRYufang Rong
Yufang Rong
HMHarold Magistrale
Harold Magistrale
GCGuihua Chen
Guihua Chen
XXXiwei Xu
Xiwei Xu
China has a nearly 3000‐year‐long earthquake record listed in various Chinese earthquake catalogs. The magnitudes in those catalogs are expressed in surface‐wave magnitude Ms. However, modern seismic‐hazard analysis prefers earthquake catalogs in moment magnitude Mw. Here, we compile a homogeneous Mw‐based historical earthquake catalog based on three Chinese earthquake catalogs and three global Mw catalogs. For post‐1900 earthquakes, we compare the common events with Ms in Chinese catalogs and with Mw in global catalogs, and derive Ms–Mw regression relationships using a constrained general orthogonal regression method. The regressions are performed separately over two magnitude ranges (5.5≤Ms<7.0 and Ms≥7.0) and three time periods (1900–1965, 1966–1975, and 1976–2015) because earthquake monitoring capabilities in China varied over those magnitudes and time ranges. We use the regression results to convert Ms magnitudes in the Chinese catalog to Mw magnitudes. For pre‐1900 events, we apply the regression results of the 1900–1965 period because the Ms values of the pre‐1900 events were converted from shaking intensity, and the Ms‐intensity relationships were derived from the post‐1900 earthquakes. We also add earthquakes from other catalogs to obtain a more complete Mw‐based catalog for China. The final catalog has about 15,700 earthquakes of Mw≥4.0. The catalog is more complete for eastern China than western China because eastern China has a much longer history of human settlement.

20 November 2019 in Seismological Research Letters
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Journal Article
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JCJia Cheng
Jia Cheng
YRYufang Rong
Yufang Rong
HMHarold Magistrale
Harold Magistrale
GCGuihua Chen
Guihua Chen
XXXiwei Xu
Xiwei Xu
Magnitude‐rupture scaling relations describe how the length, width, and area of fault rupture vary with earthquake magnitude. These parameters are required in seismic hazard models to fit the models’ earthquakes onto faults and to define the site‐rupture distances needed in ground‐motion prediction equations. We collected the magnitude and rupture parameters of 91 earthquakes in Mainland China and nearby regions to study magnitude‐rupture scaling relations. We find no systematic deviations for the subsurface rupture length (RLD) obtained from different methods versus earthquake magnitude. We performed regressions of RLD versus magnitude and versus rupture width using general orthogonal regression. Then, we derived the relations between rupture area and magnitude. Our relations are not statistically different from the results derived by others using global datasets, if the parameters of the five pre‐1900 great earthquakes in eastern China are not used. However, if the five earthquakes are used, the magnitude‐rupture length scaling relation for large strike‐slip earthquakes in eastern China gives shorter rupture lengths than earthquakes in western China and other plate boundary regions in the world.

25 November 2020 in Seismological Research Letters
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JCJia Cheng
Jia Cheng
TCThomas Chartier
Thomas Chartier
XXXiwei Xu
Xiwei Xu
The Xianshuihe fault is a remarkable strike‐slip fault characterized by high slip rate (⁠ ∼10  mm/yr⁠) and frequent strong historical earthquakes. The potential for future large earthquakes on this fault is enhanced by the 2008 Mw 7.9 Wenchuan earthquake. Previous works gave little attention to the probabilities of multisegment ruptures on the Xianshuihe fault. In this study, we build five possible multisegment rupture combination models for the Xianshuihe fault. The fault slip rates and historical earthquakes are used as input constraints to model the future seismicity on the fault segments and test whether the rupture combination models are appropriate. The segment combination model, based essentially on historical ruptures, has produced the seismicity rates most consistent with the historical records, although the model with ruptures on both the entire northern section and southern section should also be considered. The peak ground acceleration values with a return period of 475 yr calculated using the modeled rates on the Xianshuihe fault for both two models are on average larger than the values of the China Seismic Ground Motion Parameters Zonation Map.

26 September 2011 in Science China Earth Sciences
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JCJia Cheng
Jia Cheng
JLJie Liu
Jie Liu
WGWeijun Gan
Weijun Gan
HYHuaiZhong Yu
HuaiZhong Yu
GLGang Li
Gang Li

31 December 2022 in Land
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Yuandong HuangYuandong Huang
Yuandong Huang
Chong XuChong Xu
Chong Xu
LLLei Li
Lei Li
XHXiangli He
Xiangli He
JCJia Cheng
Jia Cheng
XZXujiao Zhang
Xujiao Zhang
The establishment of a regional historical landslide inventory plays an indispensable role in landslide assessment and prevention. In this study, based on the Google Earth platform, an inventory of ancient landslides in Hualong County, Qinghai Province was established. The inventory includes 3517 ancient landslides with individual areas ranging from 2354.6 m2 to 12.44 km2. The dominant characteristics include an elevation of 2600–2800 m, slope of 10–20°, aspects SW, W, and NW, mudstone and sandstone of Paleoproterozoic, Neoproterozoic and Quaternary loess, 8–10 km from faults, 0–1 km from rivers, cultivated and grassland types, NDVI of 0.25–0.3, and an average precipitation in the range of 480–500 mm. In addition, the geometric analysis of landslides shows that the average height and length of ancient landslides in the study area are 151.92 m and 429.52 m, respectively. The power law relationship between the two is L = 0.41 × H1.37. The ancient landslide inventory of this study exhibits an integrated pattern of the development characteristics and spatial distribution of landslides in the Tibetan Plateau and the upper Yellow River basin, as well as providing a significant reference for subsequent landslide susceptibility mapping in the area.

1 November 2021 in Journal of Asian Earth Sciences
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Journal Article
Closed access
JCJia Cheng
Jia Cheng
XXXiwei Xu
Xiwei Xu
JRJunjie Ren
Junjie Ren
SZShimin Zhang
Shimin Zhang
XWXiyan Wu
Xiyan Wu