TY  - CHAP
AB  - Abstract A major consequence of global environmental change is projected to be the alteration in flood periodicity, magnitude, and geographic patterns. There are a number of extant methods designed to help identify areas vulnerable to these consequences, the construction of composite vulnerability indices prominent among them. In this paper we have implemented the Order Rated Effectiveness (ORE) model (Klimberg & Ratick, 2020) to produce composite flood vulnerability indicators through the aggregation of six constituent vulnerability indicators future projected for 204 hydrologic subbasins that cover the contiguous US. The ORE aggregation results, when compared with those obtained using the Weighted Linear Combination and Data Envelopment Analysis, provided a more robust and actionable distribution of composite vulnerability results for decision-makers when prioritizing Hydrologic Unit Codes for further analysis and for effectively and efficiently implementing adaptation and mitigation strategies to address the flooding consequences due to global climate change.
VL  - 20
SN  - 978-1-83867-001-6, 978-1-83867-000-9/0276-8976
DO  - 10.1108/S0276-897620200000020009
UR  - https://doi.org/10.1108/S0276-897620200000020009
AU  - Klimberg Ronald
AU  - Ratick Samuel
ED  - Kenneth D. Lawrence
ED  - Dinesh R. Pai
PY  - 2020
Y1  - 2020/01/01
TI  - Developing Composite Indices for Assessing Vulnerability to Floods due to Climate Change: Applying the Order Rated Effectiveness Modeling Method
T2  - Applications of Management Science
T3  - Applications of Management Science
PB  - Emerald Publishing Limited
SP  - 117
EP  - 142
Y2  - 2024/05/04
ER  -