辛卓航

个人信息Personal Information

副教授

博士生导师

硕士生导师

任职 : 水利学院副院长

性别:女

毕业院校:东京工业大学

学位:博士

所在单位:水利工程系

学科:水文学及水资源

办公地点:综合实验楼4号楼411

联系方式:xinzh@dlut.edu.cn

电子邮箱:xinzh@dlut.edu.cn

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Comparative study of wet channel network extracted from LiDAR data under different climate conditions

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论文类型:期刊论文

发表时间:2018-08-01

发表刊物:HYDROLOGY RESEARCH

收录刊物:SCIE

卷号:49

期号:4

页面范围:1101-1119

ISSN号:0029-1277

关键字:climate; human impact; LiDAR; temporal stream; valley network; wet channel network

摘要:Temporal streams are vitally important for hydrology and riverine ecosystems. The identification of wet channel networks and spatial and temporal dynamics is essential for effective management, conservation, and restoration of water resources. This study investigated the temporal dynamics of stream networks in five watersheds under different climate conditions and levels of human interferences, using a systematic method recently developed for extracting wet channel networks based on light detection and ranging elevation and intensity data. In this paper, thresholds of canopy height for masking densely vegetated areas and the 'time of forward diffusion' parameter for filtering digital elevation model are found to be greatly influential and differing among sites. The inflection point of the exceedance probability distribution of elevation differences in each watershed is suggested to be used as the canopy height threshold. A lower value for the 'time of forward diffusion' is suggested for watersheds with artificial channels. The properties of decomposed and composite probability distribution functions of intensity and the extracted intensity thresholds are found to vary significantly among regions. Finally, the wet channel density and its variation with climate for five watersheds are found to be reasonable and reliable according to results reported previously in other regions.