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The 3‐D Facies and Geomechanical Modeling of Land Subsidence in the Chaobai Plain, Beijing
Author(s) -
Zhu Lin,
Franceschini Andrea,
Gong Huili,
Ferronato Massimiliano,
Dai Zhenxue,
Ke Yinghai,
Pan Yun,
Li Xiaojuan,
Wang Rong,
Teatini Pietro
Publication year - 2020
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/2019wr027026
Subject(s) - geology , groundwater , subsidence , hydrogeology , alluvium , facies , geomorphology , groundwater flow , beijing , hydrology (agriculture) , alluvial fan , hydraulic head , groundwater model , soil science , geotechnical engineering , aquifer , structural basin , china , geography , archaeology
The hydrogeologic systems of alluvial fan are characterized by a heterogeneous distribution of various lithological units/facies. The structure (integral scale and volumetric proportion) of the hydrofacies distribution and the values of the hydrogeomechanical parameters of each facies can play a major role on the system response to groundwater withdrawal in term of land subsidence. We propose a novel approach where stochastically simulated hydrofacies distributions are coupled with 3‐D finite element groundwater flow and geomechanical simulations to characterize land subsidence and horizontal movements due to groundwater withdrawal under a statistical framework. The integrated approach is applied on the Chaobai alluvial plain, China, an area of about 1,100 km 2 where the main wellfields supplying water to Beijing are located. Groundwater pumping from the 1960s to now caused a land subsidence larger than 1 m and the present subsidence rate peaks to 70 mm/year. A Monte Carlo simulation with 100 hydrofacies generations is used. The model outcomes highlight how the heterogeneous structure of the hydrofacies fan reflects into the computed displacement fields. The standard deviation associated to the mean displacement field amounts up to 1/10 of the displacement components. The larger coefficient of variation ( CV up to 0.5) is associated to the zone characterized by longer integral scale and with localized groundwater withdrawals. The computed variability of the subsidence rate, in the range of 1 to 3 mm/year, reflecting the intrinsic heterogeneous nature of an alluvial fan, corresponds to the short‐distance variability of land subsidence measured by persistent scatterer interferometry.