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発表 Development of planning methods for shorefront vegetation management focusing on submerged plants

作成年度 2015 年度
論文名 Development of planning methods for shorefront vegetation management focusing on submerged plants
論文名(和訳) (沈水植物に着目した流域スケールでの湖岸植生管理計画手法の開発)
論文副題
発表会 Watershed management symposium 2015,ASCE(アメリカ土木学会 流域管理に関するシンポジウム2015)
誌名 Watershed management symposium 2015,ASCE(アメリカ土木学会 流域管理に関するシンポジウム2015)
巻・号・回
発表年月日 2015/08/05 ~ 2015/08/07
所属研究室/機関名 著者名(英名)
河川生態Masatoshi DENDA
河川生態Kouji KATAGIRI
河川生態Mayumi OOYORI
河川生態Yuichi KAYABA
抄録
Lake Kasumigaura, which is the second largest lake in Japan, was developed for flood control, agriculture land form, and water resource development. The development changed the shore beach into concrete protection and decreased shorefront vegetation. Therefore, many restoration projects were conducted to restore shore beaches and shorefront vegetation. The projects achieved good results on restoration and established the basic technique for restoration at local scales. Subsequently, planning methods were required for basin-scale vegetation restoration of Lake Kasumigaura. Therefore, in the present study, a planning method was developed through a case study onendangered species of submerged vegetation restoration at the basin scale. First, we selected the endangered submerged vegetation species and conducted field transplant experiment to clarify the physical and chemical environment preferences. After the experiment, we determined the preferences at every growth stage for sustainable vegetation maintenance. Second, we conducted 3D hydraulic simulations of Lake Kasumigaura, considering the climate characteristics and water balance of the Lake Kasumigaura basin and extracted a suitable area for restoration on the basis of the preferences. The suitable areas extracted by the methods matched to the vegetation areas in terms of the experience and past observation. These results indicated that the method considering the preferences at a local scale accurately extracted the suitable restoration area from the basin. The results also indicated that the method could extract the physical environment characteristics along the shoreline of Lake Kasumigaura and help in the selection of optimized restoration techniques. Subsequently, we will further develop the method to concentrate on the vegetation restoration area for effective basin management.
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