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Application of stochastic process modeling in the prediction of emergency response time for public emergencies

Runhan Zhang

Runhan Zhang

Justice Department, Shaanxi Police CollegeXi’an, China
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Zhang, Runhan
  
Mar 19, 2025
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Published Online: Mar 19, 2025
Received: Oct 09, 2024
Accepted: Feb 06, 2025
DOI: https://doi.org/10.2478/amns-2025-0382
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© 2025 Runhan Zhang, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Prediction sequence results
Prediction sequence results

Figure 2.

Comparison of the accuracy of the five prediction methods
Comparison of the accuracy of the five prediction methods

Figure 3.

Changes in concentration of water intake in each water plant
Changes in concentration of water intake in each water plant

Emergency time and impact duration of each water plant

Dry season Flood season
Emergency time/d Impact duration/d Emergency time/d Impact duration/d
Li Zuizi Water Plant 2.59 1.42 0.43 0.34
Fourth Municipal Water Plant 5.98 2.96 1.16 0.64
Third Municipal Water Plant 6.73 2.74 1.23 0.66
First Municipal Water Plant 6.98 2.98 1.35 0.53
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English
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Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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