| Project/Area Number |
08680607
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
環境保全
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| Research Institution | TOTTORI UNIVERSITY |
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Principal Investigator |
MATSUBARA Yuhei TOTTORI UNIVERSITY,FACULTY OF ENGINEERING,ASSOCIATE PROFESSOR, 工学部, 助教授 (60116374)
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| Co-Investigator(Kenkyū-buntansha) |
KUROIWA Masamitu TOTTORI UNIVERSITY,FACULTY OF ENGINEERING,RESEARCH ASSOCIATE, 工学部, 助手 (10225279)
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| Project Period (FY) |
1996 – 1997
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| Project Status |
Completed (Fiscal Year 1997)
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| Budget Amount *help |
¥2,400,000 (Direct Cost: ¥2,400,000)
Fiscal Year 1997: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 1996: ¥1,400,000 (Direct Cost: ¥1,400,000)
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| Keywords | COASTAL ECOSYSTEM / SWAGRASS / RUBLE MOUND BREAKWATER / NEURAL NETWORK / MITIGATION / シティゲーション |
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| Research Abstract |
Nakaumi lake is shallow with extensive intertidal sand and mud flats. The eelgrass (Zoesta marina) zone in the lake may function as an important refugee for many resident and transient species, especially where other structural habitats are poor. In this research, a new method for eelgrass bed creation is introduced and discussed. Field observations have been carried out and suitability conditions of eelgrass are evaluated by field data. An artificial neural network is developed for estimation of environmental condition of artificial eelgrass (Zoesta marina) zone. The habitat suitability of the bed is evaluated by the number of eelgrass in the field observations. It is found that the neural network is applicable for assessing the habitat suitability of eelgrass bed.
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