Digital elevation models for high-resolution base flood elevation mapping in a densely populated city

Yang, Song-Yue; Hsu, Shaohua Marko; Hsiao, Chao-Chih; Chang, Chi-Lung

doi:10.1007/s11069-022-05784-z

Cited by 2 publications

(1 citation statement)

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“…At present, the typical terrain pattern identification technology relies on the digital elevation model (DEM) to obtain elevation data. The elevation data can be gained by combining multi-source data from lidar, multispectral image analysis, surface measuring, topographic survey, remote sensing, etc., with a high spatial resolution and wide coverage, playing an essential role in research on urban disaster risk [3], terrain and landform reconstruction [4] and glacier evolution [5].…”

Section: Introductionmentioning

confidence: 99%

Research on the Identification of Typical Terrain Patterns in Yunnan Province Based on the K-Means Technology

Zhou,

Huai,

Yan

et al. 2024

Atmosphere

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Wire icing is a prevalent challenge in both industrial and scientific domains, and it is widely acknowledged that terrain and water vapor are significant contributing factors in the formation of wire icing. Consequently, the identification of terrains that are prone to inducing water vapor uplift serves as the scientific foundation for predicting ice accumulation on power lines. Yunnan Province, a mountainous province in China, features a large elevation difference. In winter, this region is prone to wire, pole and tower icing, which can affect power transmission and cause economic and property losses. Therefore, it is necessary to conduct research on the identification of typical terrain patterns in this region. In previous terrain studies, more attention has been focused on slope and aspect, watershed analysis and terrain profile analysis. When the purpose of the terrain identification is to analyze which terrains are more prone to collecting water vapor, we hope to obtain slightly larger terrain blocks and analyze the water vapor sources for different terrains in order to identify typical terrains that are conducive to icing formation. A new technology for identifying terrain patterns based on the K-means clustering method is proposed in this study to explore the typical terrain in Yunnan province. Additionally, the influences of different terrain patterns on water vapor movement are also analyzed. The results indicate that the typical terrains in Yunnan are “Valley-Air Channel”, “Topographic Uplifting”, “Ravine”, “Mountain Pass” and “Alpine Divide” patterns. The results show that the identified typical terrain is consistent with observations from satellite images, which verifies the effectiveness of this identification method. Among these five typical terrains, the “Valley-Air Channel”, the “Topographic Uplifting” and the “Mountain Pass” terrains are prone to collecting water vapor and forming ice cover. The “Alpine Divide” terrain is also prone to accumulating water vapor on both sides to form ice cover. The identified typical terrain demonstrates that typical terrain patterns near water bodies are more prone to the occurrence of wire, pole and tower icing because these areas are abundant in water vapor, and the extensive water vapor is easily condensed under the effects of terrain uplifting and cooling. In these key areas, existing wires and towers, as well as those to be constructed in the future, deserve our special attention.

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Section: Introductionmentioning

confidence: 99%