Establishment and Research of Ecological Environment Assessment Method in Mining Area -- Taking Anshan Open-pit Mine as an Example
- DOI
- 10.2991/978-94-6463-102-9_76How to use a DOI?
- Keywords
- Anshan Open Pit Iron Mine; GF-1; Index extraction; Ecological environment assessment
- Abstract
In the process of obtaining natural resources, human beings will inevitably destroy the environment and affect the ecological balance of nature. The establishment of ecological environment evaluation method for mining area and surrounding area can protect the environment of mining area and realize the construction of ecological civilization. In this paper, taking Anshan open-air iron mine as the study area, the spatial resolution image of 2m was obtained by fusion of GF-1 satellite remote sensing image data and DEM image data of the study area, and the remote sensing index information of the mining area, such as NDVI, vegetation coverage, water body information and soil index, was extracted to normalize the ecological impact index. Finally, the comprehensive index method is used to construct the mining area ecological environment comprehensive evaluation model to analyze and evaluate the mining area ecological environment.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhi-wen Hu AU - Shun-bao Liao AU - Yu-na Qi PY - 2022 DA - 2022/12/29 TI - Establishment and Research of Ecological Environment Assessment Method in Mining Area -- Taking Anshan Open-pit Mine as an Example BT - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022) PB - Atlantis Press SP - 747 EP - 755 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-102-9_76 DO - 10.2991/978-94-6463-102-9_76 ID - Hu2022 ER -