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Variability in spatial–temporal recharge under the observed and projected climate: A site-specific simulation in the black soil region of Russia.

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Title: Variability in spatial–temporal recharge under the observed and projected climate: A site-specific simulation in the black soil region of Russia.
Authors: Pozdniakov, Sergey P.1 (AUTHOR), Vasilevsky, Peter Yu.1 (AUTHOR) valenciacf@mail.ru, Grinevskiy, Sergey O.1 (AUTHOR), Lekhov, Vladimir A.1 (AUTHOR), Sizov, Nikolay E.1 (AUTHOR), Wang, Ping2 (AUTHOR)
Source: Journal of Hydrology. Nov2020, Vol. 590, pN.PAG-N.PAG. 1p.
Subjects: Groundwater recharge, Black cotton soil, General circulation model, Weather forecasting, Soil profiles, Climatology, Atmospheric temperature
Geographic Terms: Russia
Abstract: • Groundwater recharge was studied at 3 sites with various landscapes and soil profiles. • Recharge was evaluated by numerical simulations of surface and subsurface water budget. • Results of historical simulation did not reveal any traces of climate change in recharge. • The projected simulation showed that recharge would decrease at the end of 21 century. • The weakness of recharge predictions depends on the uncertainty of climate forecasts. The main purpose of this work is to evaluate diffuse groundwater recharge and its temporal dynamics at sites with different landscapes and soil profiles under observed and projected climate variability. Three typical sites with different landscapes and topsoil profiles were chosen for the field study. Field work consisted of pit development and soil sample collection for laboratory study using the centrifuge method. Soil hydraulic parameters were obtained by the RETC code using the observed values of volumetric water content vs. pressure head. HYDRUS-1D code was used to estimate groundwater recharge based on a 70-year (1945–2015) meteorological dataset with daily resolution (including values of precipitation, air temperature, wind speed, and humidity). This dataset was preprocessed using our SURFBAL code to calculate the surface and topsoil water and energy balance. Retrospective historical simulation results showed that there was a considerable variation in the mean annual groundwater recharge values (49–104 mm/year) for the three studied profiles. The temporal change in groundwater recharge occurred relatively synchronously at all sites and was governed by the change in the current annual aridity index. The results of this historical simulation did not reveal any traces of climate change in the groundwater recharge of the studied region in the last 30–40 years. To predict the recharge variations in the second half of the 21st century, the LARSWG forecast weather generator with the climate projections of the 5th General Circulation Models (GCMs) from the Coupled Model Intercomparison Project 5 (CMIP5) family was used. On average in the case of climate development under the maximum greenhouse gas emissions RCP8.5 scenario, there will be a reduction in groundwater recharge in the studied region in 2060–2080, caused by two factors: change of aridity index, which determines evapotranspiration during a warm season and the accumulation of snow and subsequent meltwater infiltration during the snowmelt periods. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Hydrology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 146811344
AccessLevel: 6
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PubTypeId: academicJournal
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  Data: Variability in spatial–temporal recharge under the observed and projected climate: A site-specific simulation in the black soil region of Russia.
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  Data: <searchLink fieldCode="DE" term="%22Groundwater+recharge%22">Groundwater recharge</searchLink><br /><searchLink fieldCode="DE" term="%22Black+cotton+soil%22">Black cotton soil</searchLink><br /><searchLink fieldCode="DE" term="%22General+circulation+model%22">General circulation model</searchLink><br /><searchLink fieldCode="DE" term="%22Weather+forecasting%22">Weather forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+profiles%22">Soil profiles</searchLink><br /><searchLink fieldCode="DE" term="%22Climatology%22">Climatology</searchLink><br /><searchLink fieldCode="DE" term="%22Atmospheric+temperature%22">Atmospheric temperature</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Russia%22">Russia</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • Groundwater recharge was studied at 3 sites with various landscapes and soil profiles. • Recharge was evaluated by numerical simulations of surface and subsurface water budget. • Results of historical simulation did not reveal any traces of climate change in recharge. • The projected simulation showed that recharge would decrease at the end of 21 century. • The weakness of recharge predictions depends on the uncertainty of climate forecasts. The main purpose of this work is to evaluate diffuse groundwater recharge and its temporal dynamics at sites with different landscapes and soil profiles under observed and projected climate variability. Three typical sites with different landscapes and topsoil profiles were chosen for the field study. Field work consisted of pit development and soil sample collection for laboratory study using the centrifuge method. Soil hydraulic parameters were obtained by the RETC code using the observed values of volumetric water content vs. pressure head. HYDRUS-1D code was used to estimate groundwater recharge based on a 70-year (1945–2015) meteorological dataset with daily resolution (including values of precipitation, air temperature, wind speed, and humidity). This dataset was preprocessed using our SURFBAL code to calculate the surface and topsoil water and energy balance. Retrospective historical simulation results showed that there was a considerable variation in the mean annual groundwater recharge values (49–104 mm/year) for the three studied profiles. The temporal change in groundwater recharge occurred relatively synchronously at all sites and was governed by the change in the current annual aridity index. The results of this historical simulation did not reveal any traces of climate change in the groundwater recharge of the studied region in the last 30–40 years. To predict the recharge variations in the second half of the 21st century, the LARSWG forecast weather generator with the climate projections of the 5th General Circulation Models (GCMs) from the Coupled Model Intercomparison Project 5 (CMIP5) family was used. On average in the case of climate development under the maximum greenhouse gas emissions RCP8.5 scenario, there will be a reduction in groundwater recharge in the studied region in 2060–2080, caused by two factors: change of aridity index, which determines evapotranspiration during a warm season and the accumulation of snow and subsequent meltwater infiltration during the snowmelt periods. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Hydrology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.jhydrol.2020.125247
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Groundwater recharge
        Type: general
      – SubjectFull: Black cotton soil
        Type: general
      – SubjectFull: General circulation model
        Type: general
      – SubjectFull: Weather forecasting
        Type: general
      – SubjectFull: Soil profiles
        Type: general
      – SubjectFull: Climatology
        Type: general
      – SubjectFull: Atmospheric temperature
        Type: general
      – SubjectFull: Russia
        Type: general
    Titles:
      – TitleFull: Variability in spatial–temporal recharge under the observed and projected climate: A site-specific simulation in the black soil region of Russia.
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            NameFull: Pozdniakov, Sergey P.
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            NameFull: Vasilevsky, Peter Yu.
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            NameFull: Grinevskiy, Sergey O.
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            NameFull: Lekhov, Vladimir A.
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            NameFull: Sizov, Nikolay E.
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            NameFull: Wang, Ping
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            – D: 01
              M: 11
              Text: Nov2020
              Type: published
              Y: 2020
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              Value: 590
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            – TitleFull: Journal of Hydrology
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