Impact Assessment of Digital Elevation Model (DEM) Resolution on Drainage System Extraction and the Evaluation of Mass Movement Hazards in the Upper Catchment

被引:0
|
作者
Akbar, Ahmad Qasim [1 ]
Mitani, Yasuhiro [2 ]
Nakanishi, Ryunosuke [2 ]
Djamaluddin, Ibrahim [3 ]
Sugahara, Takumi [1 ]
机构
[1] Kyushu Univ, Grad Sch Engn, Dept Civil Engn, Fukuoka 8190382, Japan
[2] Kyushu Univ, Fac Engn, Disaster Risk Reduct Res Ctr, Dept Civil Engn, Fukuoka 8190382, Japan
[3] Hasanuddin Univ, Fac Engn, Makassar 90245, Indonesia
关键词
1(st) order drainage system; DEM resolution; drainage system; 0-order basin; landslides; fuzzy classification; hazard management;
D O I
10.3390/geosciences14080223
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Worldwide, landslides claim many lives each year, with an average of 162.6 deaths reported in Japan from 1945 to 2019. There is growing concern about a potential increase in this number due to climate change. The primary source of shallow and rapid landslides within watersheds is the 0-order basins, which are located above the 1(st) order drainage system. These active geomorphological locations govern the frequency of mass movement. Despite the recognition of their importance, little attention has been paid to the role of 0-order basins in initiating landslides. Drainage systems can be extracted using the Digital Elevation Model (DEM) in GIS software. However, the effect of DEM resolution on the extraction of 1(st) order basins remains unexplained. This research develops an algorithm to assess the impact of DEM resolution on the extraction of first-order basins, channel head points, and the identification of approximate 0-order basins. The study includes algorithms to evaluate the correlation between DEM resolution and 1(st) order drainage system extraction using fuzzy classification techniques for approximate 0-order basins. The algorithm was applied in Toho Village, Fukuoka, Japan, defining the most appropriate DEM and stream definition threshold with an 86.48% accuracy and +/- 30 m error margin for channel head points. Critical slip surfaces were identified inside the 0-order basins and validated with a landslide inventory map with a 91% accuracy. The developed algorithms support hazard management and land use planning, providing valuable tools for sustainable development.
引用
收藏
页数:19
相关论文
共 7 条