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Title: Predicting the impact of land management decisions on overland flow generation: Implications for cesium migration in forested Fukushima watersheds

Abstract

The effects of land use and land cover (LULC) change on environmental systems across the land surface's “criticalzone” are highly uncertain, often making prediction and risk management decision difficult. In a series of nu-merical experiments with an integrated hydrologic model, overland flow generation is quantified for bothpresent day and forest thinning scenarios. A typhoon storm event in a watershed near the Fukushima Dai-ichiNuclear Power Plant is used as an example application in which the interplay between LULC change andoverland flow generation is important given that sediment-bound radionuclides may cause secondary con-tamination via surface water transport. Results illustrate the nonlinearity of the integrated system spanning fromthe deep groundwater to the atmosphere, and provide quantitative tools when determining the tradeoffsofdifferent risk-mitigation strategies.

Authors:
 [1];  [1];  [2];  [1]
  1. Lawrence Berkeley National Laboratory, Berkeley, CA (United States). Energy Geosciences Division
  2. Lawrence Berkeley National Laboratory, Berkeley, CA (United States). Climate and Ecosystem Sciences Division
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory, Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC).
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1462039
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Journal Article
Journal Name:
Advances in Water Resources
Additional Journal Information:
Journal Volume: 113; Journal Issue: C; Journal ID: ISSN 0309-1708
Publisher:
Elsevier
Country of Publication:
United States
Language:
English

Citation Formats

Siirila-Woodburn, Erica R., Steefel, Carl I., Williams, Kenneth H., and Birkholzer, Jens T. Predicting the impact of land management decisions on overland flow generation: Implications for cesium migration in forested Fukushima watersheds. United States: N. p., 2018. Web. doi:10.1016/j.advwatres.2018.01.008.
Siirila-Woodburn, Erica R., Steefel, Carl I., Williams, Kenneth H., & Birkholzer, Jens T. Predicting the impact of land management decisions on overland flow generation: Implications for cesium migration in forested Fukushima watersheds. United States. doi:10.1016/j.advwatres.2018.01.008.
Siirila-Woodburn, Erica R., Steefel, Carl I., Williams, Kenneth H., and Birkholzer, Jens T. Thu . "Predicting the impact of land management decisions on overland flow generation: Implications for cesium migration in forested Fukushima watersheds". United States. doi:10.1016/j.advwatres.2018.01.008.
@article{osti_1462039,
title = {Predicting the impact of land management decisions on overland flow generation: Implications for cesium migration in forested Fukushima watersheds},
author = {Siirila-Woodburn, Erica R. and Steefel, Carl I. and Williams, Kenneth H. and Birkholzer, Jens T.},
abstractNote = {The effects of land use and land cover (LULC) change on environmental systems across the land surface's “criticalzone” are highly uncertain, often making prediction and risk management decision difficult. In a series of nu-merical experiments with an integrated hydrologic model, overland flow generation is quantified for bothpresent day and forest thinning scenarios. A typhoon storm event in a watershed near the Fukushima Dai-ichiNuclear Power Plant is used as an example application in which the interplay between LULC change andoverland flow generation is important given that sediment-bound radionuclides may cause secondary con-tamination via surface water transport. Results illustrate the nonlinearity of the integrated system spanning fromthe deep groundwater to the atmosphere, and provide quantitative tools when determining the tradeoffsofdifferent risk-mitigation strategies.},
doi = {10.1016/j.advwatres.2018.01.008},
journal = {Advances in Water Resources},
issn = {0309-1708},
number = C,
volume = 113,
place = {United States},
year = {2018},
month = {3}
}