| 作成年度 | 2010 年度 |
|---|---|
| 論文名 | Using airborne scanning laser altimetry (LiDAR) to estimate surface connectivity of floodplain water bodies |
| 論文名（和訳） | |
| 論文副題 | |
| 発表会 | |
| 誌名 | River Research and Applications |
| 巻・号・回 | |
| 発表年月日 | 2010/12/01 |
| 所属研究室／機関名 | 著者名（英名） |
|---|---|
| 独立行政法人土木研究所水環境研究グループ自然共生研究センター | Junjiro N. Negishi |
| 独立行政法人土木研究所水環境研究グループ自然共生研究センター | S. Sagawa |
| 独立行政法人土木研究所水環境研究グループ自然共生研究センター | S. Sanada |
| 独立行政法人土木研究所水環境研究グループ自然共生研究センター | M. Kume |
| 国土交通省中部地方整備局木曽川上流河川事務所調査課、独立行政法人土木研究所水環境研究グループ自然共生研究センター | T. Ohmori、T. Miyashita、Y. Kayaba |
| 抄録 |
|---|
| This study tested the applicability of airborne scanning laser altimetry (LiDAR) for characterizing surface connectivity of floodplain water bodies by comparing it with in situ measurements of water levels、 and examined whether LiDAR derived data accurately predicted the occurrence of globally imperilled unionid mussels. We intensively examined 10 isolated and 3 connected floodplain water bodies (IWBs and CWBs、 respectively) located within a 15-km lowland segment of the Kiso River in Japan. Using a digital elevation model (DEM) of floodplain ground surface、 which is derived from LiDAR、 and water surface DEM、 which is obtained from records of water level fluctuations、 the frequency of surface connectivity between IWBs and the main channel (inundation frequency) was calculated. Inundation frequency of IWBs was also measured in situ using water level and temperature probes. Also、 the occurrence of mussels in CWBs and IWBs were examined. LiDAR derived data well predicted in situ derived one with a high level of accuracy (r2?>?0.77)、 validating the LiDAR-based approach. Some errors existed in the predictive model、 indicating that the applicability of LiDAR data is limited by its spatial resolution and snapshot nature. The occurrence of mussels was positively explained by an increasing level of inundation frequency、 and the high accuracies of empirical models were validated using data for other 67 water bodies within the study segment. This study overall demonstrated a high potential of LiDAR data for efficiently monitoring hydrological and biological conditions of floodplain water bodies in the Kiso River and beyond. |
