WaterPaths

WaterPaths#

Under construction

Overview#

WaterPaths [1] is a generalizable, open-source, exploratory modeling tool designed to explore and inform long- and short-term regional water supply management and infrastructure planing. It exploits dynamic and adaptive risk-of-failure (ROF) rules [2] to trigger drought mitigation, financial, and infrastructure construction actions to generate planning and management pathways. It is capable for handling a wide range of deep uncertainties that range from hydrological and climate extremes, demand growth, financial risk, as well as infrastructure construction and financing.

Use of WaterPaths require some familiarity with C/C++. To begin working with WaterPaths, we suggest the following training sequence:

Prerequisites#

Familiarity with C/C++ is highly recommended. If you are learning C/C++ for the first time, complete the set of tasks associated with the “C/C++ Crash Course” topic below. Otherwise, feel free to skip this first topic.

Training activities#

Topic	Commitment	Tasks	Readings	Outcomes
C/C++ Crash Course	Long	C++ Essential Training HackerRank 30 Days of Code		1. Understand C/C++ syntax 2. Write, compile and run a C/C++ function
Intro to WaterPaths	Short	Download and compile WaterPaths	[1]	1. Download and compile WaterPaths 2. Replicate examples on the GitHub Repo tutorial
Intro to ROF Triggers	Medium	Calculating ROF Triggers Calculating ROF Triggers Generating ROF Tables Visualizing ROF Trigger Dynamics	[2]	1. Understand ROF triggers 2. Generate ROF tables using WaterPaths 3. Plot ROF and reservoir storage dynamics
Optimization with WaterPaths	Medium	Running WaterPaths in Optimization Mode WaterPaths Tutorial Visualize performance tradeoffs	[3]	1. Optimize the Sedento Valley test case 2. Plot performance tradeoffs.
Large-scale simulation with WaterPaths	2 weeks	Running WaterPaths in Simulation Mode Re-evaluation under Deep Uncertainty	[4]	1. Clearly ifferentiate optimality and robustness 2. Apply skills in Linux and using HPC 3. Simulate a large-scale experiment on a HPC cluster.

Reading list#

[1] Trindade, B.C. et al. (2020) ‘Water pathways: An open source stochastic simulation system for Integrated Water Supply Portfolio Management and infrastructure investment planning’, Environmental Modelling & Software, 132, p. 104772. doi:10.1016/j.envsoft.2020.104772.
[2] Zeff, H.B. et al. (2016) ‘Cooperative drought adaptation: Integrating Infrastructure Development, conservation, and water transfers into adaptive policy pathways’, Water Resources Research, 52(9), pp. 7327–7346. doi:10.1002/2016wr018771.
[3] Trindade, B.C. et al. (2017) ‘Reducing regional drought vulnerabilities and multi-city robustness conflicts using many-objective optimization under deep uncertainty’, Advances in Water Resources, 104, pp. 195–209. doi:10.1016/j.advwatres.2017.03.023.
[4] Trindade, B.C., Reed, P.M. and Characklis, G.W. (2019) ‘Deeply Uncertain Pathways : Integrated multi-city Regional Water Supply Infrastructure Investment and portfolio management’, Advances in Water Resources, 134, p. 103442. doi:10.1016/j.advwatres.2019.103442.