Issue |
E3S Web Conf.
Volume 261, 2021
2021 7th International Conference on Energy Materials and Environment Engineering (ICEMEE 2021)
|
|
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Article Number | 01033 | |
Number of page(s) | 5 | |
Section | Energy Development and Energy Storage Technology Research and Development | |
DOI | https://doi.org/10.1051/e3sconf/202126101033 | |
Published online | 21 May 2021 |
Predicted influence of overhead transmission lines on land-use transfer: A case study on landscape and famous scenery
1
Economic Research Institute of State Grid Hubei Electric Power Company, Wuhan 430077, Hubei, China;
2
Central Southern China Electric Power Design Institute co., ltd. of China Power Engineering Consulting Group, Wuhan 430074, Hubei, China;
3
State Grid Hubei Electric Power co., ltd, Wuhan 430077, Hubei, China;
4
Hubei Central China Technology Development of Electric Power co., ltd, Wuhan 430074, Hubei, China.
* Corresponding author: Ying Gao 2717018534@qq.com
Taking Baihetan—Jiangsu ±800kV UHVDC power transmission project as an example, the influence of tower foundation on land-use types and functions were predicted using ArcGIS platform and eCognition Developer. Through the construction of land-use transfer matrix analysis, the change of land-use transfer situation and structure were discussed. Our results showed that the forest transfer intensities (RT) of Tangya River Scenic spot and Three Gorges Scenic area were 0.64 and 1.49 respectively, the RT of bushes and grasses in Tangya River Scenic spot and Three Gorges Scenic area were 1.01 and 0.37. The RT of forest, bushes and grasses were both not high. The permanent occupation area of project was all transferred into building land, the construction land dynamics degrees (KT) of Tangya River Scenic spot and Three Gorges Scenic area were +0.40% and +0.031% respectively, which were both low. Thus we drew a conclusion that the project construction would have a slight impact on land use pattern and function and would not affect the overall ecological function and structure of landscape and famous scenery.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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