Disaster risk assessment is a crucial component in scientifically formulating disaster prevention and mitigation strategies and achieving effective disaster risk management. Taking the piedmont alluvial plain area of the Taihang Mountains as a case study, this research employs a hazard-exposure-vulnerabilityresilience (H-E-V-R) assessment framework. By integrating subjective weights with objective weights derived from the CRITIC method through a game-theoretic combined weighting approach, we quantify the contribution of each factor to flood risk and clarify its spatial distribution characteristics. Results show that flood risk exhibits a distinct spatial pattern—high in the north, central, and southern regions, and low around the periphery. High-risk zones are primarily distributed along major river systems such as the Yongding River, Hutuo River, and Zhangwei River, forming belt-like extensions concentrated in core urban clusters including Beijing, Tianjin, Langfang, Shijiazhuang, and Xinxiang. Low-risk areas appear as scattered patches, mainly located in the inland central plains away from major river networks. The primary influencing factors are distance to waterways (0.2220), rainfall intensity (0.1370), and peak flood discharge (0.1127). Validation using historical flood frequency and inundation depth indicates that the higher-risk zones identified by the combined weighting method match historical disaster-prone areas at a rate of 70.59%, while high-hazard zones align with actual inundated areas at 73.97%. These findings provide scientific basis for flood prevention and control in the Taihang foothill plain region and offer valuable support for regional disaster risk management and planning.

Yixin Pang, Haijun Li, Ziyan Zhang, Yao Fan, Bingbin Du, Shuiqing Zhou, Jiachen Lu, Xiaoqing Yu, "Flood Disaster Risk Assessment of the Alluvial-Diluvial Plain in the Piedmont of the Taihang Mountains Based on AHP-CRITIC Combined Weighting" International Journal of Scientific Research and Engineering Development, V9(5): Page(344-355) September - October 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.