Design and Realization of the Water Resources Carrying Capacity Evaluation Model for Marine Climate Cities

Yao, L. and Zhang, H., 2018. Design and realization of the water resources carrying capacity evaluation model for marine climate cities. In: Ashraf, M.A. and Chowdhury, A.J.K. (eds.), Coastal Ecosystem Responses to Human and Climatic Changes throughout Asia. To improve the living environment of mari...

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Veröffentlicht in:Journal of coastal research 2018-09, Vol.82 (sp1), p.12-23
Hauptverfasser: Yao, Longqin, Zhang, Hengquan
Format: Artikel
Sprache:eng
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Zusammenfassung:Yao, L. and Zhang, H., 2018. Design and realization of the water resources carrying capacity evaluation model for marine climate cities. In: Ashraf, M.A. and Chowdhury, A.J.K. (eds.), Coastal Ecosystem Responses to Human and Climatic Changes throughout Asia. To improve the living environment of marine climate cities and the carrying level of water resources under maritime climate conditions, a water resources balance scheduling and cycle control-based evaluation model was proposed. The water balance model of marine climate cities was constructed using Gauss-Newton iteration and the volume square root particle filter method. According to the importance of density function, the confidence interval of the water resources carrying capacity level was analyzed, and the optimal allocation of the water resources carrying capacity based on the particle swarm optimization algorithm was made. Using the reduction coefficient of water resources retention to mechanically control the carrying capacity, the water resources carrying capacity evaluation of a marine climate city was achieved. In the embedded environment, software development and design of the water resources carrying capacity evaluation model were performed. The software system of the water resources carrying capacity evaluation model includes the water resources flow evaluation system, water resources mechanical evaluation system, and program compiler, connector, debugger, and other subsystems. Under the control of the kernel decompression program, the executable code was generated by the mechanical evaluation program compiled to realize the software development and model optimization design of the water resources carrying capacity evaluation model. The simulation results showed that this evaluation method presented good forecasting performance of the water resources carrying capacity of marine climate cities and that this improved the monitoring and judgment ability of climate in the adjacent areas. By combining climate regulation and artificial intervention, the maritime climate conditions and the cycle control level of water resources can be improved, which promotes a good application value in climate regulation.
ISSN:0749-0208
1551-5036
DOI:10.2112/SI82-002.1