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Coordination of natural and built infrastructure to better manage extreme events

A hydro-finance modeling framework

Dados Bibliográficos

ID15548383
AutoresHongkai Gao (0000-0003-0786-8067, Arizona State University, autor correspondente), Reepal Shah (0000-0002-8905-7534, Arizona State University), Dai Yamazaki (0000-0002-6478-1841, The University of Tokyo), T J Bohn (0000-0002-1880-9129, Arizona State University), Glen Low (0000-0001-9010-8928, Second Genome (United States)), John L Sabo (0000-0001-5259-0709, Arizona State University)
Ano2024
Volume20
Fascículo2
Páginas024036-024036
Data de publicação2024-12-31
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEnvironmental Research Letters (JOURNAL)
Identificadores do periódicoISSN: 1748-9326 • E-ISSN: 1748-9326
EditoraIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ada45d
OpenAlexW4405930071
IdiomaEN
Referências citadas36

Natural infrastructure offers a promising, soft-path solution to water security challenges; however, the scientific framework for siting and measuring the efficacy of such restoration projects is nascent. In this paper, we developed a hydro-finance modeling framework to analyze the impact of constructed wetlands on streamflow extremes and cash flow compared to a purely built, or hard path, infrastructure project. Wetlands significantly diminished the flood peak but had variable—and often negative effects—on baseflow. By contrast, flood peak reduction volumes by wetlands were of adequate size to offset flood pool requirements in downstream reservoirs and meet low-flow targets to sustain manufacturing during the dry season. Net positive cash flow originating from avoided costs of water tariffs offset or exceeded capital costs of modestly sized wetlands built on low value land leading to water security solutions that generate revenue. Building back nature can be profitable

Business · Computer security · Critical infrastructure · Environmental resource management · Green infrastructure · Natural (archaeology · Natural disaster · Water infrastructure · Water supply · Computer Science · Environmental Science · Flood Risk Assessment and Management · Reservoir Engineering and Simulation Methods · Water resources management and optimization · Finance · Geology · Oceanography

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