APPLICATION OF RECYCLED MATERIALS TO ARTIFICIAL TIDAL FLAT: QUANTITATIVE EVALUATION OF ECOSYSTEM FUNCTIONS
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- MITO Yugo
- 復建調査設計(株)環境部
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- ENDO Toshio
- 横浜港湾空港技術調査事務所
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- IEJIMA Osamu
- 横浜港湾空港技術調査事務所環境課
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- KESYO Junichiro
- 横浜港湾空港技術調査事務所環境課
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- HAGINO Michiaki
- 復建調査設計(株)東京支社
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- SUGANO Takanori
- 復建調査設計(株)環境部
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- KURISU Kazuyuki
- 日本鉱業協会
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- NAKAMOTO Kenji
- 中国電力(株)電源事業本部
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- NAKAMURA Yoshiyuki
- 横浜国立大学大学院都市イノベーション研究院
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- HIBINO Tadashi
- 広島大学大学院工学研究院
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- OKADA Tomonari
- 国土技術政策総合研究所沿岸海洋・防災研究部
Bibliographic Information
- Other Title
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- 再生資源の干潟基盤材への適用と生態系機能の定量的評価
- サイセイ シゲン ノ ヒガタ キバンザイ エ ノ テキヨウ ト セイタイケイ キノウ ノ テイリョウテキ ヒョウカ
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Description
In this study, the field tests were performed by applying ferronickel slag (FNS) and granulated coal ash (GCA) to artificial tidal flats, and corresponding ecosystem functions were quantitatively evaluated. The result of field test revealed that sediment quality and biota corresponding to FNS were observed to be similar to those of sand. In contrast, results obtained for GCA were different from those of sand in terms of reduced dissolved-sulfide concentration in pore water and changes in biota. Subsequently, the seven ecosystem functions pertaining to artificial tidal-flat sediments were defined, and each function was quantified by standardizing the best state for each ecosystem function as 100 points. Furthermore, for each of the seven ecosystem functions, a hierarchical bayesian model (HBM) was established by incorporating influence factors of the ecosystem function and the type of sediment (sand, FNS and GCA) into explanatory variables. The coefficients of HBM were estimated using the Markov Chain Monte Carlo method. It was quantitatively evaluated the ecosystem-function of the FNS and GCA, when compared to sand, based on the coefficients and their credible intervals for the FNS and GCA.
Journal
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- Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering)
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Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering) 74 (2), I_1297-I_1302, 2018
Japan Society of Civil Engineers