Multi-scale planning model for robust urban drought response

Bibliographic Details
Title: Multi-scale planning model for robust urban drought response
Authors: Marta Zaniolo, Sarah Fletcher, Meagan S Mauter
Source: Environmental Research Letters, Vol 18, Iss 5, p 054014 (2023)
Publisher Information: IOP Publishing, 2023.
Publication Year: 2023
Collection: LCC:Environmental technology. Sanitary engineering
LCC:Environmental sciences
LCC:Science
LCC:Physics
Subject Terms: urban drought security, water reuse, water desalination, water infrastructure adaptation, reinforcement learning, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Science, Physics, QC1-999
More Details: Increasingly severe droughts are straining municipal water resources and jeopardizing urban water security, but uncertainty in their duration, frequency, and intensity challenges drought planning and response. We develop the Drought Resilient Interscale Portfolio Planning model (DRIPP) to generate optimal planning responses to urban drought. DRIPP is a generalizable multi-scale framework for optimizing dynamic planning strategies of long-term infrastructure deployment and short-term drought response. It integrates climate and hydrological variability with high-fidelity representations of urban water distribution, available technology options, and demand reduction measures to yield robust and cost-effective water supply portfolios that are location-specific. We apply DRIPP in Santa Barbara, California to assess how least cost water supply portfolios vary under different drought scenarios and identify portfolios that are robust across drought scenarios. In Santa Barbara, we find that drought intensity, not duration or frequency, drives cost increases, reliability risk, and regret of overbuilding infrastructure. Under uncertain drought conditions, a diversified technology portfolio that includes both rapidly deployable, decentralized technologies alongside larger centralized technologies minimizes water supply cost while maintaining high robustness to climate uncertainty.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1748-9326
Relation: https://doaj.org/toc/1748-9326
DOI: 10.1088/1748-9326/acceb5
Access URL: https://doaj.org/article/509ec6624fd54dc9994a095f52291f42
Accession Number: edsdoj.509ec6624fd54dc9994a095f52291f42
Database: Directory of Open Access Journals
More Details
ISSN:17489326
DOI:10.1088/1748-9326/acceb5
Published in:Environmental Research Letters
Language:English