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Improving the quality of managerial decision-making when responding to leashes with the help of information and analytical support

Proceeding
III All-Russian Scientific and Practical Conference of Students, Postgraduates and Young Scientists «Topical issues of law, economic and management»
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Published in:
III All-Russian Scientific and Practical Conference of Students, Postgraduates and Young Scientists «Topical issues of law, economic and management»
Author:
Nikita E. Aleksandrov 1
Scientific adviser:
Dmitrij N. Ermakov2
Work direction:
Менеджмент и маркетинг
Pages:
10-14
Received: 28 March 2022

Rating:
Article accesses:
1270
Published in:
РИНЦ
1 Peoples' Friendship University of Russia
2 Tsentr mirovoi politiki i strategicheskogo analiza FGBUN "Institut Kitaia i sovremennoi Azii RAN"
For citation:
Aleksandrov N. E. (2022). Improving the quality of managerial decision-making when responding to leashes with the help of information and analytical support. Topical issues of law, economic and management, 10-14. Чебоксары: PH "Sreda".

Abstract

The article describes the problem of improving the quality of managerial decision-making when using information and predictive systems in response to floods. The article uses system and model research methods. As a result, it was proposed to expand predictive models by the modern method of interpretation of SHAP and to include consideration of its results in the process of making managerial decisions when responding to floods.

References

  1. 1. Abebe, Y. A., Ghorbani, A., Nikolic, I., Vojinovic, Z., & Sanchez, A. (2018). A coupled flood-agent-institution modelling (CLAIM) framework for urban flood risk management. Environmental Modelling & Software, 483–492.
  2. 2. Alfieri, L. (2013). GloFAS-global ensemble streamflow forecasting and flood early warning. Hydrology and Earth System Sciences, 1161–1175.
  3. 3. Arduino, G., Reggiani, P., & Todini, E. (2005). Recent advances in flood forecasting and flood risk assessment. Hydrology and Earth Sciences, 280–284.
  4. 4. Golnaraghi, M., Thistlethwaite, J., Henstra, D., & Stewart, C. (2020). Flood Risk Management in Canada. Geneva Association.
  5. 5. Grimaldi, S., Petroselli, A., Arcangeletti, E., & Nardie, F. (2013). Flood mapping in ungauged basins using fully continuous hydrologic-hydraulic modeling. Journal of Hydrology, 39–47.
  6. 6. Hopson, T., & Webster, P. (2010). A 1–10-day ensemble forecasting scheme for the major river basins of Bangladesh: forecasting severe floods of 2003–07. Journal of Hydrometeorology, 618–641.
  7. 7. Lundberg, S., & Lee, S.-I. (2017). A Unified Approach to Interpreting Model Predictions. NIPS.
  8. 8. Moore, R., Bell, V., & Jones, D. (2005). Forecasting for flood warning. Comptes Rendus Geosciences, 203–217.
  9. 9. Noji, E. K., & Lee, C. Y. (2005). Disaster preparedness. In H. Frumkin, Environmental health: from global to local. 1st ed. (pp. 745–780). San Francisco, CA: Jossey-Bass Publishers.
  10. 10. Raadgever, G. T., Booister, N., Steenstra, M. K., & Hegger, D. (. (2018). The Relevance of Flood Risk Management and Governance. In Flood Risk Management Strategies and Governance (pp. 85–92). Springer International Publishing.
  11. 11. Thaler, T., & Levin-Keitel, M. (2016). Multi-level stakeholder engagement in flood risk management-A question of roles and power: Lessons from England. Environmental Science & Policy, 292–301.
  12. 12. Thiemig, Bisselink, B., Pappenberger, F., & Thielen, J. (2015). A pan-African medium-range ensemble flood forecast system. Hydrol. Earth Syst. Sci., 3365–3385.
  13. 13. Tullos, D. (2008). Assessing environmental impact assessments – A review and analysis of documenting environmental impacts of large dams. Journal of Environmental Management, 208–223.

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