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Simulation and analysis of ecosystem vulnerability with cascading spread caused by dust migration based on object function GeoPetri net

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  • Su, Jia
  • Huang, Guangqiu

Abstract

To describe the cascading spread problem of ecosystem vulnerability with continuous disturbance, we propose a novel model based on object function GeoPetri net (OFGPNM). The model makes ecological environment Petri net fully reflect in ecological environment system in a graphical manner. On this basis, we design four dynamic indicators (i.e., vulnerability, adaptability, state of cascade spread, state probability) for each sub-ecosystem and two global indicators (i.e., scale of cascade spread and scale rate) for entire ecosystem. Taking Shenfu coal field in Shaanxi Province of China as case study, we simulate the impact of accumulative vulnerability and dynamic evolution of three states over time. The results showed that depending on different states of the subsystem, the factors used to maintain the balance of system's original state are also different. The results showed that cyclic structure of Petri net based on the fluidity of a river made the ecosystem more vulnerable than acyclic structure. The results also showed that the emission rate of mine dust Q0, the tolerance parameter α and the resilience parameter γ had great effect on achieving the optimal state of ecosystem. Q0 played an important role in slowing occurrence time of cascade spread. The rational investments by government in ecological construction and pollution management are the key to balancing economic expenditure with ecological benefits. The obtained results were quite convincing to prove the novel contribution of this research to the field of vulnerability with cascading spread analysis which might continue to be the reference for restoration and reconstruction of the environment.

Suggested Citation

  • Su, Jia & Huang, Guangqiu, 2018. "Simulation and analysis of ecosystem vulnerability with cascading spread caused by dust migration based on object function GeoPetri net," Ecological Modelling, Elsevier, vol. 379(C), pages 54-72.
    • Handle: RePEc:eee:ecomod:v:379:y:2018:i:c:p:54-72
    DOI: 10.1016/j.ecolmodel.2018.04.005
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    References listed on IDEAS

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    1. Chang, Yu-Tsun & Lee, Ying-Chieh & Huang, Shu-Li, 2017. "Integrated spatial ecosystem model for simulating land use change and assessing vulnerability to flooding," Ecological Modelling, Elsevier, vol. 362(C), pages 87-100.
    2. Zhang, Feng & Liu, Xingpeng & Zhang, Jiquan & Wu, Rina & Ma, Qiyun & Chen, Yanan, 2017. "Ecological vulnerability assessment based on multi-sources data and SD model in Yinma River Basin, China," Ecological Modelling, Elsevier, vol. 349(C), pages 41-50.
    3. Chang-Kun Chen & Zhi Li & Yun-Feng Sun, 2010. "A New Model For Describing Evolution And Control Of Disaster System Including Instantaneous And Continuous Actions," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 307-332.
    4. Wang, Yingcong & Xiao, Renbin, 2016. "An ant colony based resilience approach to cascading failures in cluster supply network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 150-166.
    5. Xue, Fei & Bompard, Ettore & Huang, Tao & Jiang, Lin & Lu, Shaofeng & Zhu, Huaiying, 2017. "Interrelation of structure and operational states in cascading failure of overloading lines in power grids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 728-740.
    6. Li, Jian & Chen, Changkun, 2014. "Modeling the dynamics of disaster evolution along causality networks with cycle chains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 251-264.
    7. Helbing, Dirk & Kühnert, Christian, 2003. "Assessing interaction networks with applications to catastrophe dynamics and disaster management," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 328(3), pages 584-606.
    8. Warnier, Martijn & Dulman, Stefan & Koç, Yakup & Pauwels, Eric, 2017. "Distributed monitoring for the prevention of cascading failures in operational power grids," International Journal of Critical Infrastructure Protection, Elsevier, vol. 17(C), pages 15-27.
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    1. Wang, Delu & Wang, Yadong & Huang, Ziyang & Cui, Rong, 2020. "Understanding the resilience of coal industry ecosystem to economic shocks: Influencing factors, dynamic evolution and policy suggestions," Resources Policy, Elsevier, vol. 67(C).

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