Semantic Scholar Open Access 2018 117 sitasi

Learning about climate change uncertainty enables flexible water infrastructure planning

S. Fletcher M. Lickley K. Strzepek

Abstrak

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. 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.

Penulis (3)

S

S. Fletcher

M

M. Lickley

K

K. Strzepek

Format Sitasi

Fletcher, S., Lickley, M., Strzepek, K. (2018). Learning about climate change uncertainty enables flexible water infrastructure planning. https://doi.org/10.1038/s41467-019-09677-x

Akses Cepat

Lihat di Sumber doi.org/10.1038/s41467-019-09677-x
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
117×
Sumber Database
Semantic Scholar
DOI
10.1038/s41467-019-09677-x
Akses
Open Access ✓