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Ju Shen

Biographic Data

ID6718615
NAMEJu Shen
GIVEN NAMESJu
FAMILY NAMEShen
SIGNATURESHEN J
AFFILIATIONSShanghai Normal University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS1
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Varying flood exposure due to uncertain data of flood hazard and population distribution

    Open Access•Wendi Shao, Jiaqi Dong et al.•ARTICLE•Environmental Research Letters•2025

    Gridded population and flood hazard data are crucial for flood exposure assessments. However, current assessments incorporate uncertainties related to data selection, yet the mechanisms through which subjective data selection propagate uncertainties in exposure models remain poorly understood. To address this gap, this study conducted a comparative assessment of flood exposure in China using five population datasets and five flood hazard datasets…

  • Policy delivery gaps in the land-based flood risk management in China

    Open Access•Shiqiang Du, Ju Shen et al.•ARTICLE•Environmental Science & Policy•2020•Cited by: 1•References: 6

  • Mapping the capacity of concave green land in mitigating urban pluvial floods and its beneficiaries

    Open Access•Shiqiang Du, Congxiao Wang et al.•ARTICLE•Sustainable Cities and Society•2019

  • Policy delivery gaps in the land-based flood risk management in China

    Open Access•Shiqiang Du, Ju Shen et al.•ARTICLE•Environmental Science & Policy•2020•Cited by: 1•References: 6

  • Mapping the capacity of concave green land in mitigating urban pluvial floods and its beneficiaries

    Open Access•Shiqiang Du, Congxiao Wang et al.•ARTICLE•Sustainable Cities and Society•2019

  • Policy delivery gaps in the land-based flood risk management in China

    Open Access•Shiqiang Du, Ju Shen et al.•ARTICLE•Environmental Science & Policy•2020•Cited by: 1•References: 6

  • Varying flood exposure due to uncertain data of flood hazard and population distribution

    Open Access•Wendi Shao, Jiaqi Dong et al.•ARTICLE•Environmental Research Letters•2025

    Gridded population and flood hazard data are crucial for flood exposure assessments. However, current assessments incorporate uncertainties related to data selection, yet the mechanisms through which subjective data selection propagate uncertainties in exposure models remain poorly understood. To address this gap, this study conducted a comparative assessment of flood exposure in China using five population datasets and five flood hazard datasets…

Flood Risk Assessment and Management (3 works) · Flood myth (2 works) · Geography (2 works) · Attractiveness (1 works) · Business (1 works) · China (1 works) · Climate Change, Adaptation, Migration (1 works) · Disaster Management and Resilience (1 works) · Economics (1 works) · Environmental planning (1 works)

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