Cargando…

A nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting system storage sizing

This article describes a nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting (RWH) system storage sizing and reliability determination. The method is illustrated using the case example of determining storag...

Descripción completa

Detalles Bibliográficos
Autor principal: Wurthmann, Kurt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881684/
https://www.ncbi.nlm.nih.gov/pubmed/31799136
http://dx.doi.org/10.1016/j.mex.2019.10.025
_version_ 1783473996694552576
author Wurthmann, Kurt
author_facet Wurthmann, Kurt
author_sort Wurthmann, Kurt
collection PubMed
description This article describes a nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting (RWH) system storage sizing and reliability determination. The method is illustrated using the case example of determining storage size and associated reliability outcomes for residential RWH systems that provide for the outdoor landscape irrigation demands of single-family homes in Broward and Palm Beach Counties, located in Southeast Florida, U.S.A. The method is useful not only for individual property owners, RWH system designers, and contractors, but also for policy makers who wish to analyze potential savings in water and energy amounts and costs that could result from widespread deployment of residential RWH systems, as discussed in Wurthmann (2019). The method can be easily implemented in Excel and is unique in its combination of: • precision – determines daily levels of precipitation, water supply, and irrigation demand, incorporating the effects of seasonality, • adaptability – user specified historical rainfall data and functional relationships between precipitation and water supply and demand are fully customizable, and • portability – the nonparametric bootstrapping approach overcomes the key challenge posed by parametric stochastic methods; that statistical relationships describing rainfall processes derived in one location are likely not applicable to other locations.
format Online
Article
Text
id pubmed-6881684
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-68816842019-12-03 A nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting system storage sizing Wurthmann, Kurt MethodsX Environmental Science This article describes a nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting (RWH) system storage sizing and reliability determination. The method is illustrated using the case example of determining storage size and associated reliability outcomes for residential RWH systems that provide for the outdoor landscape irrigation demands of single-family homes in Broward and Palm Beach Counties, located in Southeast Florida, U.S.A. The method is useful not only for individual property owners, RWH system designers, and contractors, but also for policy makers who wish to analyze potential savings in water and energy amounts and costs that could result from widespread deployment of residential RWH systems, as discussed in Wurthmann (2019). The method can be easily implemented in Excel and is unique in its combination of: • precision – determines daily levels of precipitation, water supply, and irrigation demand, incorporating the effects of seasonality, • adaptability – user specified historical rainfall data and functional relationships between precipitation and water supply and demand are fully customizable, and • portability – the nonparametric bootstrapping approach overcomes the key challenge posed by parametric stochastic methods; that statistical relationships describing rainfall processes derived in one location are likely not applicable to other locations. Elsevier 2019-11-12 /pmc/articles/PMC6881684/ /pubmed/31799136 http://dx.doi.org/10.1016/j.mex.2019.10.025 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Environmental Science
Wurthmann, Kurt
A nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting system storage sizing
title A nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting system storage sizing
title_full A nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting system storage sizing
title_fullStr A nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting system storage sizing
title_full_unstemmed A nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting system storage sizing
title_short A nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting system storage sizing
title_sort nonparametric bootstrapping method for synthetically generating daily precipitation, water supply, and irrigation demand for rainwater harvesting system storage sizing
topic Environmental Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881684/
https://www.ncbi.nlm.nih.gov/pubmed/31799136
http://dx.doi.org/10.1016/j.mex.2019.10.025
work_keys_str_mv AT wurthmannkurt anonparametricbootstrappingmethodforsyntheticallygeneratingdailyprecipitationwatersupplyandirrigationdemandforrainwaterharvestingsystemstoragesizing
AT wurthmannkurt nonparametricbootstrappingmethodforsyntheticallygeneratingdailyprecipitationwatersupplyandirrigationdemandforrainwaterharvestingsystemstoragesizing