Modeling the effects of drought in urban economies using regional input-output analysis.

Aim: This research examines the economic impacts of drought severity and duration to interdependent product ion sectors in an urban catchment. Methodology: We developed a dynamic water input - output model extension to analyze the drought vulnerability and resilience of economic sectors in an urban region. The model utilizes the North American Industry Classificat ion System (NAICS), which encompasses 65 economic sectors in our regional analysis. The model is applied to a case study of the United States (US) National Capital Region, a predominantly urban region that is considered one of the major economic drivers of the US. Results: Simulation results identify the critical economic sectors that experience the highest inoperability and economic losses as a result of water reduction schemes implemented during drought events. In the two scenarios studied (drought warnin g and drought emergency), sectors exhibit disproportionate levels of resilience and sensitivity to the magnitude and duration of water reduction. In each case, the economic loss and inoperability rankings of critical sectors differ due to differences in th e quantity and value of the sectors’ production outputs. Conclusion: Observed data trends provide valuable insights for decision makers in formulating drought preparedness policies, water conservation programs , and short - term responses aimed to reduce wate r consumption in cases of emergency. The dynamic water reallocation I - O model developed in this study can be applied to other drought - prone regions and be used to generate insights on the economic consequences of drought, ecosystem thresholds, and water re allocation

[1]  Michael Young,et al.  CHARTING OUR WATER FUTURE: Economic frameworks to inform decision-making , 2015 .

[2]  I. Cazcarro,et al.  Multiregional input-output model for the evaluation of Spanish water flows. , 2013, Environmental science & technology.

[3]  N. Crossman,et al.  An ecosystem services approach to estimating economic losses associated with drought , 2013 .

[4]  M. Llop.  Water reallocation in the input–output model , 2013 .

[5]  Ana Iglesias,et al.  Diagnosing Causes of Water Scarcity in Complex Water Resources Systems and Identifying Risk Management Actions , 2013, Water Resources Management.

[6]  F. Ward,et al.  Economic Costs of Sustaining Water Supplies: Findings from the Rio Grande , 2012, Water Resources Management.

[7]  Sujoy B. Roy,et al.  Projecting water withdrawal and supply for future decades in the U.S. under climate change scenarios. , 2012, Environmental science & technology.

[8]  N. Graham,et al.  Value of adaptive water resources management in Northern California under climatic variability and change: Reservoir management , 2012 .

[9]  F. Duchin,et al.  POLICIES AND TECHNOLOGIES FOR A SUSTAINABLE USE OF WATER IN MEXICO: A SCENARIO ANALYSIS , 2011 .

[10]  Bin Chen,et al.  Applying the input-output method to account for water footprint and virtual water trade in the Haihe River basin in China. , 2010, Environmental science & technology.

[11]  Kash Barker,et al.  Measuring the efficacy of inventory with a dynamic input-output model , 2010 .

[12]  Joost R. Santos,et al.  PROBABILISTIC MODELING OF WORKFORCE-BASED DISRUPTIONS AND INPUT–OUTPUT ANALYSIS OF INTERDEPENDENT RIPPLE EFFECTS , 2010 .

[13]  François Molle,et al.  Cities vs. agriculture: A review of intersectoral water re‐allocation , 2009 .

[14]  E. Velázquez,et al.  An input-output model of water consumption: Analysing intersectoral water relationships in Andalusia , 2006 .

[15]  Yacov Y. Haimes,et al.  Managing the risk of terrorism to interdependent infrastructure systems through the dynamic inoperability input–output model , 2006, Syst. Eng..

[16]  Joost R. Santos,et al.  INOPERABILITY INPUT-OUTPUT MODEL 2 . 1 . Background : Leontief Input-Output Model , 2005 .

[17]  A. Rose,et al.  Modeling Regional Economic Resilience to Disasters: A Computable General Equilibrium Analysis of Water Service Disruptions , 2005 .

[18]  Y. Haimes,et al.  Leontief-Based Model of Risk in Complex Interconnected Infrastructures , 2001 .

[19]  S. Dufour.  I: Commerce , 2001, Canadian Yearbook of international Law/Annuaire canadien de droit international.

[20]  Adam Rose,et al.  Frontiers of Environmental Economics , 2001 .

[21]  M. Rosegrant,et al.  Impact on food security and rural development of transferring water out of agriculture , 2000 .

[22]  Thomas R. Harris,et al.  Impacts of water reallocation: A combined computable general equilibrium and recreation demand model approach , 2000 .

[23]  R. M. Beemiller,et al.  Regional multipliers: A user handbook for the regional input-output modeling system (RIMS II). Second edition , 1992 .

[24]  C. S. Holling.  Resilience and Stability of Ecological Systems , 1973 .

[25]  W. Leontief.  Quantitative Input and Output Relations in the Economic Systems of the United States , 1936 .