| Title | Vulnerability optimization for determining water restoration strategies in industrial park water networks |
|---|---|
| ID_Doc | 24633 |
| Authors | Zhang, YM; Wang, CX; Dou, JH; Li, ZW; Zhang, PD; Tan, RR; Wang, F; Jia, XP |
| Title | Vulnerability optimization for determining water restoration strategies in industrial park water networks |
| Year | 2024 |
| Published | |
| Abstract | Integrated optimization of water networks improves water resource efficiency but also potentially increases vulnerability to disaster-cascading effects. To efficiently respond to disruptions in water networks caused by natural disasters or man-made disruptions, we first simulated the disturbance propagation trajectory among components using the dynamic inoperability input-output model (DIIM), which extended from economic inputoutput model and the inoperability represents the degree of system or component functional loss. Then, we developed a two-stage post-disaster vulnerability optimization model to determine the optimal restoration strategy. The proposed model was demonstrated as the water networks in an industrial park. The results showed that the higher the integration of water networks, the lower the minimum basic restoration costs. System vulnerability increases with restoration cost decreases, and the higher the water network integration, the faster the rise rate. We obtained the optimum restoration strategy for an integrated, optimized water network to maintain the system operation at the lowest cost. Furthermore, the restoration cost of the optimal point for nonintegrated water networks was approximately 3.5 times higher than that of the most integrated water network. The developed model can be used as a risk-and-vulnerability reduction strategy for sustainable water management in industrial park. |
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