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Concurrent datasets on land cover and river monitoring in Fukushima decontaminated catchment during 2013–2018

After the Fukushima nuclear accident, the Japanese government implemented extensive decontamination work in (137)Cs contaminated catchments for residents’ health and local revitalization. Whether dramatic land use changes in the upstream decontaminated regions affected river suspended sediment (SS)...

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Autores principales: Feng, Bin, Onda, Yuichi, Wakiyama, Yoshifumi, Taniguchi, Keisuke, Hashimoto, Asahi, Zhang, Yupan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442352/
https://www.ncbi.nlm.nih.gov/pubmed/37604898
http://dx.doi.org/10.1038/s41597-023-02452-0
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author Feng, Bin
Onda, Yuichi
Wakiyama, Yoshifumi
Taniguchi, Keisuke
Hashimoto, Asahi
Zhang, Yupan
author_facet Feng, Bin
Onda, Yuichi
Wakiyama, Yoshifumi
Taniguchi, Keisuke
Hashimoto, Asahi
Zhang, Yupan
author_sort Feng, Bin
collection PubMed
description After the Fukushima nuclear accident, the Japanese government implemented extensive decontamination work in (137)Cs contaminated catchments for residents’ health and local revitalization. Whether dramatic land use changes in the upstream decontaminated regions affected river suspended sediment (SS) and particulate (137)Cs discharge downstream remain unknown because of the poor quantification on land cover changes and long-term river SS dynamics. We here introduce a 6-year concurrent database of the Niida River Basin, a decontaminated catchment, including the first available vector decontamination maps, satellite images in decontaminated regions with a spatial resolution of 10 m, and long-term river monitoring datasets spanning decontamination (2013–2016) and subsequent natural restoration stages (2017–2018). These datasets allow us, for the first time, to directly link the transport dynamics of river SS (particulate (137)Cs) to land use changes caused by humans in real-time, which provide fundamental data for better understanding the river response of sediment to land use change. Moreover, the data obtained by interdisciplinary methods offer a template for land use change impact assessment in other river basins.
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spelling pubmed-104423522023-08-23 Concurrent datasets on land cover and river monitoring in Fukushima decontaminated catchment during 2013–2018 Feng, Bin Onda, Yuichi Wakiyama, Yoshifumi Taniguchi, Keisuke Hashimoto, Asahi Zhang, Yupan Sci Data Data Descriptor After the Fukushima nuclear accident, the Japanese government implemented extensive decontamination work in (137)Cs contaminated catchments for residents’ health and local revitalization. Whether dramatic land use changes in the upstream decontaminated regions affected river suspended sediment (SS) and particulate (137)Cs discharge downstream remain unknown because of the poor quantification on land cover changes and long-term river SS dynamics. We here introduce a 6-year concurrent database of the Niida River Basin, a decontaminated catchment, including the first available vector decontamination maps, satellite images in decontaminated regions with a spatial resolution of 10 m, and long-term river monitoring datasets spanning decontamination (2013–2016) and subsequent natural restoration stages (2017–2018). These datasets allow us, for the first time, to directly link the transport dynamics of river SS (particulate (137)Cs) to land use changes caused by humans in real-time, which provide fundamental data for better understanding the river response of sediment to land use change. Moreover, the data obtained by interdisciplinary methods offer a template for land use change impact assessment in other river basins. Nature Publishing Group UK 2023-08-21 /pmc/articles/PMC10442352/ /pubmed/37604898 http://dx.doi.org/10.1038/s41597-023-02452-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Feng, Bin
Onda, Yuichi
Wakiyama, Yoshifumi
Taniguchi, Keisuke
Hashimoto, Asahi
Zhang, Yupan
Concurrent datasets on land cover and river monitoring in Fukushima decontaminated catchment during 2013–2018
title Concurrent datasets on land cover and river monitoring in Fukushima decontaminated catchment during 2013–2018
title_full Concurrent datasets on land cover and river monitoring in Fukushima decontaminated catchment during 2013–2018
title_fullStr Concurrent datasets on land cover and river monitoring in Fukushima decontaminated catchment during 2013–2018
title_full_unstemmed Concurrent datasets on land cover and river monitoring in Fukushima decontaminated catchment during 2013–2018
title_short Concurrent datasets on land cover and river monitoring in Fukushima decontaminated catchment during 2013–2018
title_sort concurrent datasets on land cover and river monitoring in fukushima decontaminated catchment during 2013–2018
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442352/
https://www.ncbi.nlm.nih.gov/pubmed/37604898
http://dx.doi.org/10.1038/s41597-023-02452-0
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