Flood Risk Assessment in Humanitarian Logistics Process Design

This article deals with the relationship between a flood risk assessment and the humanitarian logistics process design related to emergency events caused by flooding. The magnitude and timing of the flooding is estimated using a forecasting model that requires a hydrologic component to convert rainfall into runoff as well as a hydraulic component to route the flow through the stream network predicting time and severity of the flood wave. Once these components are known, and with the intention of mitigating the impact of the flood wave on the population, we provide the relevant aspects to define humanitarian aid and evacuation plans including processes and metrics of it. Finally, an example that integrates both methodologies is included.

[1]  Silvia Rossi,et al.  Agile and lean principles in the humanitarian supply chain , 2012 .

[2]  J. Rojas-Arce,et al.  The Methodology for Strategic Plan Implementation , 2012 .

[3]  Lee D. Han,et al.  What Is An Effective Evacuation Operation , 2007 .

[4]  Christopher Brewster,et al.  Logistical framework for last mile relief distribution in humanitarian supply chains: considerations from the field , 2012 .

[5]  M. Moore,et al.  Managing for Value: Organizational Strategy in for-Profit, Nonprofit, and Governmental Organizations , 2000 .

[6]  Cuauhtémoc Sánchez-Ramírez,et al.  Dynamic Self-Assessment of Supply Chains Performance: an Emerging Market Approach , 2013 .

[7]  A. Regattieri,et al.  A performance measurement system for the evaluation of humanitarian supply chains , 2013 .

[8]  Christopher S. Tang,et al.  Buttressing Supply Chains against Floods in Asia for Humanitarian Relief and Economic Recovery , 2014 .

[9]  T. N. Palmer,et al.  Quantifying the risk of extreme seasonal precipitation events in a changing climate , 2002, Nature.

[10]  Benita M. Beamon,et al.  Last Mile Distribution in Humanitarian Relief , 2008, J. Intell. Transp. Syst..

[11]  K. Smilowitz,et al.  Models for Relief Routing: Equity, Efficiency and Efficacy , 2011 .

[12]  Rafael Caballero,et al.  SSPMO: A Scatter Tabu Search Procedure for Non-Linear Multiobjective Optimization , 2007, INFORMS J. Comput..

[13]  Validation and use of rainfall radar data to simulate water flows in the Rio Escondido basin , 2010 .

[14]  Benita M. Beamon,et al.  Performance measurement in humanitarian relief chains , 2008 .

[15]  R. Shapiro,et al.  From Logistics to Supply Chain Management , 2000 .