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

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Bin Feng, Yuichi Onda, Yoshifumi Wakiyama, Keisuke Taniguchi, Asahi Hashimoto, Yupan Zhang

Summary

Researchers compiled six years of satellite and river monitoring data from a catchment in Fukushima, Japan affected by the 2011 nuclear accident, tracking how government decontamination efforts changed land cover and influenced the transport of radioactive cesium-137 particles downstream. The dataset provides a rare real-time record linking human-driven land use changes to river sediment dynamics and is offered as a model for assessing similar situations in other regions.

After the Fukushima nuclear accident, the Japanese government implemented extensive decontamination work in <sup>137</sup>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 <sup>137</sup>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 <sup>137</sup>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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