Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Coordination of natural and built infrastructure to better manage extreme events

A hydro-finance modeling framework

Datos Bibliográficos

ID15548383
AutoresHongkai Gao (0000-0003-0786-8067, Arizona State University, autor de correspondencia), 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)
Año2024
Volumen20
Número2
Páginas024036-024036
Fecha de publicación2024-12-31
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEnvironmental Research Letters (JOURNAL)
Identificadores de la revistaISSN: 1748-9326 • E-ISSN: 1748-9326
EditorialIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ada45d
OpenAlexW4405930071
IdiomaEN
Referencias 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

  • A simple hydrologically based model of land surface water and energy fluxes for general circulation models

    Open Access•Xu Liang, Dennis P Lettenmaier et al.•Journal of Geophysical Research:…•1994

  • Global land cover classification at 1 km spatial resolution using a classification tree approach

    Matthew C Hansen, Ruth Defries et al.•International Journal of Remote…•2000

  • Stationarity Is Dead

    Open Access•P C D Milly, Julio L Betancourt et al.•Science•2008

  • Model Projections of an Imminent Transition to a More Arid Climate in Southwestern North America

    Open Access•Robin Seager, Richard Seager et al.•Science•2007

  • Global threats to human water security and river biodiversity

    Open Access•C J Vörösmarty, Peter B Mcintyre et al.•Nature•2010

  • Wetland Resources

    Open Access•Joy B Zedler, Suzanne Kercher•Annual Review of Environment and…•2005

  • Design principles for engineering wetlands to improve resilience of coupled built and natural water infrastructure

    Open Access•Reepal Shah, Yushiou Tsai et al.•Environmental Research Letters•2023

  • Water conservancy projects in China

    Open Access•Junguo Liu, Chuanfu Zang et al.•Global Environmental Change•2013

Velocidad de citaciónhistorical
Altamente citadoNo
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae