Related Experiment Video
Updated: Jun 12, 2025

Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole
Published on: August 26, 2019
Effects of changing spatial scale on debris-flow hazard assessment: A case study in the Dadu River basin, China
Lili Zhang1, Jianqiang Zhang2, Zaiyang Ming3
1Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610299, China; University of Chinese Academy of Sciences, Beijing 101408, China.
Abstract:
Debris flows are a prevalent mountain hazard that poses severe risks to human life and property. Debris-flow hazard assessments at the regional scale are vital for risk management, which establish spatial associations between debris flows and their influencing factors based on specific evaluation units. Different spatial scales of evaluation units can influence the spatial attributes and associations obtained by statistics, and further affect the accuracy of hazard assessments. However, there is limited consensus regarding the optimal spatial scale of evaluation units for debris-flow hazard assessment. To address this issue, six different scales of grid cells and forty influencing factors related to topography, material sources, hydrology, and human activities are analyzed by the geographical detector model to assess the debris-flow hazards in the Dadu River basin, China. The results reveal that over 92 % of debris-flow points fall within hazardous zones across all spatial scales, confirming the effectiveness of the assessment model. Topography, particularly local gully topography, dominates the debris-flow occurrence in the study area, while human activities also significantly contribute. As the spatial scale of evaluation units increases, the explanatory power of the influencing factors improves, with the 90 % quantile ranging from 0.23 to 0.46. This result suggests that larger spatial scales weaken the spatial characteristics of the factors. The finer and more informative the factors are, the more sensitive to spatial scale effects. The 10 km × 10 km is identified as the optimal spatial scale, which effectively preserves the local spatial characteristics while avoiding information loss or overload. These findings provide valuable insights for enhancing the accuracy of hazard assessments and improving the efficiency of risk management.
Related Concept Videos
Design Example: Creating a Hydraulic Model of a Dam Spillway
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Typical Model Studies
Applications of GIS: Disaster Management and Emergency Response
Design Example: Design of an Irrigation Channel
Rapidly Varying Flow

