Related Experiment Video
Updated: Jun 3, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Fuzzy synthetic model for risk assessment on Haihe River basin
Jingling Liu1, Qiuying Chen, Yongli Li
1State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environmental, Beijing Normal University, NO.19 Xinjiekouwaida Street, Haidian District, Beijing, 100875, China. Jingling@bnu.edu.cn
Abstract:
A comprehensive indicator model for risk assessment and a multiple-level theoretical indicator system of the water quality-quantity-ecosystem (WQQE) for the Haihe River basin were constructed in this research. A fuzzy optimization model was used to assess risks for the four water systems of the Haihe River basin, and their risk order from high to lower risk was southern Haihe River system (SH), northern Haihe River system (NH), Tuhaimajiahe River system (TH) and Luanjiyanhai River system (LJ). The highest risk value (SH) was 0.8737. In terms of the WQQE, the secondary parameters for assessment of the four water system risks were 0.3579, 0.7226, 0.9547, and 0.5428 respectively. The results indicated that the main control factors for pollution for LJ, TH, SH and NH differed from each other and involved pollutant level, development of water resources, water flow and quality, ecosystem health and the hydrologic structure.
Related Concept Videos
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Typical Model Studies
Design Example: Creating a Hydraulic Model of a Dam Spillway
Hazard Rate
Modeling and Similitude
Rapidly Varying Flow
