2015The World Bank Open Knowledge Repository (World Bank)Open access

A Strategy for Implementing Lima’s Long-Term Water Resources Master Plan

Nidhi Kalra, David G. Groves, Laura Bonzanigo, Edmundo Pérez, Cayo Ramos, Brandon Carter, Iván Rodriguez Cabanillas

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Abstract

This study draws upon state-of-the-art methods for decision making under deep uncertainty (DMU) to give SEDAPAL and decision makers in Lima answers to pressing questions. It draws upon several methodologies including Robust Decision Making, Decision Scaling, and Adaptive Pathways, to prioritize the investments in SEDAPAL’s Master Plan. Together these methods help define an investment strategy that is robust, ensuring water reliability across as wide a range of future conditions as possible while also being economically efficient.

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What this paper is about

This study draws upon state-of-the-art methods for decision making under deep uncertainty (DMU) to give SEDAPAL and decision makers in Lima answers to pressing questions. It draws upon several methodologies including Robust Decision Making, Decision Scaling, and Adaptive Pathways, to prioritize the investments in SEDAPAL’s Master Plan. Together these methods help define an investment strategy that is robust, ensuring water reliability across as wide a range of future conditions as possible while also being economically efficient.

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Available abstract

This study draws upon state-of-the-art methods for decision making under deep uncertainty (DMU) to give SEDAPAL and decision makers in Lima answers to pressing questions. It draws upon several methodologies including Robust Decision Making, Decision Scaling, and Adaptive Pathways, to prioritize the investments in SEDAPAL’s Master Plan. Together these methods help define an investment strategy that is robust, ensuring water reliability across as wide a range of future conditions as possible while also being economically efficient.

Key concepts: Term (time), Plan (archaeology), Master plan, Business, Operations management, Process management, Environmental planning, Computer science

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