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Learning about climate change uncertainty enables flexible water infrastructure planning

Authors :
Megan Lickley
Kenneth Strzepek
Sarah Fletcher
Source :
Nature Communications, Vol 10, Iss 1, Pp 1-11 (2019), Nature Communications
Publication Year :
2019
Publisher :
Nature Publishing Group, 2019.

Abstract

Water resources planning requires decision-making about infrastructure development under uncertainty in future regional climate conditions. However, uncertainty in climate change projections will evolve over the 100-year lifetime of a dam as new climate observations become available. Flexible strategies in which infrastructure is proactively designed to be changed in the future have the potential to meet water supply needs without expensive over-building. Evaluating tradeoffs between flexible and traditional static planning approaches requires extension of current paradigms for planning under climate change uncertainty which do not assess opportunities to reduce uncertainty in the future. We develop a new planning framework that assesses the potential to learn about regional climate change over time and therefore evaluates the appropriateness of flexible approaches today. We demonstrate it on a reservoir planning problem in Mombasa, Kenya. This approach identifies opportunities to reliably use incremental approaches, enabling adaptation investments to reach more vulnerable communities with fewer resources.<br />Water resources planning requires infrastructure development consider regional climatic uncertainties. Here the authors introduce a new dynamic planning framework that captures opportunities to learn about climate change over time. By applying it to reservoir planning in Kenya, they show the value of flexible approaches in responding to learning.

Subjects

Subjects :
0301 basic medicine
bepress|Engineering
Computer science
EarthArXiv|Engineering
General Physics and Astronomy
Water supply
02 engineering and technology
EarthArXiv|Physical Sciences and Mathematics|Earth Sciences
bepress|Physical Sciences and Mathematics|Environmental Sciences
lcsh:Science
Multidisciplinary
EarthArXiv|Engineering|Civil and Environmental Engineering
EarthArXiv|Physical Sciences and Mathematics|Computer Sciences
bepress|Engineering|Civil and Environmental Engineering|Civil Engineering
021001 nanoscience & nanotechnology
EarthArXiv|Physical Sciences and Mathematics|Environmental Sciences|Water Resource Management
Water infrastructure
Risk analysis (engineering)
EarthArXiv|Physical Sciences and Mathematics|Earth Sciences|Hydrology
0210 nano-technology
bepress|Physical Sciences and Mathematics
EarthArXiv|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology
EarthArXiv|Engineering|Civil and Environmental Engineering|Civil Engineering
EarthArXiv|Physical Sciences and Mathematics|Environmental Sciences
Science
bepress|Physical Sciences and Mathematics|Earth Sciences
Climate change
General Biochemistry, Genetics and Molecular Biology
Article
03 medical and health sciences
bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate
bepress|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology
bepress|Physical Sciences and Mathematics|Earth Sciences|Hydrology
Adaptation (computer science)
business.industry
bepress|Physical Sciences and Mathematics|Computer Sciences
bepress|Physical Sciences and Mathematics|Computer Sciences|Numerical Analysis and Scientific Computing
EarthArXiv|Physical Sciences and Mathematics|Oceanography and Atmospheric Sciences and Meteorology|Climate
General Chemistry
EarthArXiv|Physical Sciences and Mathematics
Dynamic planning
EarthArXiv|Physical Sciences and Mathematics|Statistics and Probability
Water resources
030104 developmental biology
bepress|Engineering|Civil and Environmental Engineering
bepress|Physical Sciences and Mathematics|Environmental Sciences|Water Resource Management
EarthArXiv|Physical Sciences and Mathematics|Computer Sciences|Numerical Analysis and Scientific Computing
bepress|Physical Sciences and Mathematics|Statistics and Probability
lcsh:Q
business

Details

Language :
English
ISSN :
20411723
Volume :
10
Issue :
1
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....b16e742242bc3bf9def92bbe65daef96
Full Text :
https://doi.org/10.1038/s41467-019-09677-x