View in EDS

Observation-driven model for calculating water harvesting potential from advective fog in (semi-)arid coastal regions.

Saved in:
Bibliographic Details
Title: Observation-driven model for calculating water harvesting potential from advective fog in (semi-)arid coastal regions.
Authors: Lobos-Roco, Felipe1,2 (AUTHOR) felipe.lobos.roco@gmail.com, Arellano, Jordi Vilà-Guerau de3 (AUTHOR) jordi.vila@wur.nl, Rio, Camilo de1,4 (AUTHOR) cdelriol@uc.cl
Source: Hydrology & Earth System Sciences Discussions. 4/24/2024, p1-27. 27p.
Subject Terms: *Water harvesting, *Arid regions, *Fog, *Atmospheric models, *Harvesting time, *Altitudes
Geographic Terms: Chile
Abstract: Motivated by finding complementary water sources in (semi-)arid regions, we develop and assess an observational-driven model to calculate fog harvesting water potential. We aim to integrate this model with routine meteorological data collected under complex meteorological and topographic conditions to characterize the advective fog phenomenon. Based on the mass balance principle, the A dvective fog M odel for (semi-) A rid R egions U nder climate change (AMARU) offers insights into fog water harvesting volumes in time and space domains. The model is based on a simple thermodynamic approach to calculate the dependence of the liquid water content (ql) on height. Based on climatological fog collection records, we introduce an empirical efficiency coefficient. When combined with ql , this coefficient facilitates the estimation of fog harvesting volumes (L m-2). AMARU's outputs are validated against in-situ observations collected over Chile's coastal (semi-)arid regions at various elevations and years (2018–2023). The model's representations of the seasonal cycle of fog harvesting follow observations with errors of ∼10 %. The model satisfactorily estimates the maximum ql (∼0.8 g kg-1) available for fog harvesting potential in the vertical column. To assess spatial variability, we combine the model with satellite-retrieved data, enabling the mapping of fog harvesting potential along the Atacama coast. Our approach enables the application of the combined observational-AMARU model to other (semi-)arid regions worldwide that share similar conditions. Through the quantification of fog harvesting, our model contributes to water planning, ecosystem delimitation efforts, and the study of the climatological evolution of cloud water, among others. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
FullText Text:
  Availability: 0
Header DbId: enr
DbLabel: Energy & Power Source
An: 176808929
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Observation-driven model for calculating water harvesting potential from advective fog in (semi-)arid coastal regions.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lobos-Roco%2C+Felipe%22">Lobos-Roco, Felipe</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> felipe.lobos.roco@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Arellano%2C+Jordi+Vilà-Guerau+de%22">Arellano, Jordi Vilà-Guerau de</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> jordi.vila@wur.nl</i><br /><searchLink fieldCode="AR" term="%22Rio%2C+Camilo+de%22">Rio, Camilo de</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<i> cdelriol@uc.cl</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Hydrology+%26+Earth+System+Sciences+Discussions%22">Hydrology & Earth System Sciences Discussions</searchLink>. 4/24/2024, p1-27. 27p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Water+harvesting%22">Water harvesting</searchLink><br />*<searchLink fieldCode="DE" term="%22Arid+regions%22">Arid regions</searchLink><br />*<searchLink fieldCode="DE" term="%22Fog%22">Fog</searchLink><br />*<searchLink fieldCode="DE" term="%22Atmospheric+models%22">Atmospheric models</searchLink><br />*<searchLink fieldCode="DE" term="%22Harvesting+time%22">Harvesting time</searchLink><br />*<searchLink fieldCode="DE" term="%22Altitudes%22">Altitudes</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Chile%22">Chile</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Motivated by finding complementary water sources in (semi-)arid regions, we develop and assess an observational-driven model to calculate fog harvesting water potential. We aim to integrate this model with routine meteorological data collected under complex meteorological and topographic conditions to characterize the advective fog phenomenon. Based on the mass balance principle, the A dvective fog M odel for (semi-) A rid R egions U nder climate change (AMARU) offers insights into fog water harvesting volumes in time and space domains. The model is based on a simple thermodynamic approach to calculate the dependence of the liquid water content (ql) on height. Based on climatological fog collection records, we introduce an empirical efficiency coefficient. When combined with ql , this coefficient facilitates the estimation of fog harvesting volumes (L m-2). AMARU's outputs are validated against in-situ observations collected over Chile's coastal (semi-)arid regions at various elevations and years (2018–2023). The model's representations of the seasonal cycle of fog harvesting follow observations with errors of ∼10 %. The model satisfactorily estimates the maximum ql (∼0.8 g kg-1) available for fog harvesting potential in the vertical column. To assess spatial variability, we combine the model with satellite-retrieved data, enabling the mapping of fog harvesting potential along the Atacama coast. Our approach enables the application of the combined observational-AMARU model to other (semi-)arid regions worldwide that share similar conditions. Through the quantification of fog harvesting, our model contributes to water planning, ecosystem delimitation efforts, and the study of the climatological evolution of cloud water, among others. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=176808929
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.5194/hess-2024-110
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 27
        StartPage: 1
    Subjects:
      – SubjectFull: Water harvesting
        Type: general
      – SubjectFull: Arid regions
        Type: general
      – SubjectFull: Fog
        Type: general
      – SubjectFull: Atmospheric models
        Type: general
      – SubjectFull: Harvesting time
        Type: general
      – SubjectFull: Altitudes
        Type: general
      – SubjectFull: Chile
        Type: general
    Titles:
      – TitleFull: Observation-driven model for calculating water harvesting potential from advective fog in (semi-)arid coastal regions.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lobos-Roco, Felipe
      – PersonEntity:
          Name:
            NameFull: Arellano, Jordi Vilà-Guerau de
      – PersonEntity:
          Name:
            NameFull: Rio, Camilo de
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 24
              M: 04
              Text: 4/24/2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 18122108
          Titles:
            – TitleFull: Hydrology & Earth System Sciences Discussions
              Type: main
ResultId 1