Paper
18 March 2022 Determination of ecological protection zones in China and Pakistan based on fuzzy comprehensive evaluation and clustering method
Bowen Jia
Author Affiliations +
Proceedings Volume 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021); 121682M (2022) https://doi.org/10.1117/12.2631306
Event: International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2021, Harbin, China
Abstract
This paper first uses the fuzzy comprehensive evaluation model to evaluate the impact of Saihanba on the environment quantitatively. Then, we determine the locations needed to build ecological protection zones in China. It is necessary to analyze the impact indicators such as energy consumption, the CO2 emissions of each city, and forest coverage; and it can be easily solved through fuzzy comprehensive evaluation and clustering. Moreover, we also use the K-means clustering models to determine the ecological protection zones in need in Pakistan with the air quality index (AQI) of different cities. This will illustrate the generality and effectiveness of applying this environmental assessment method to different countries and cities in different countries. The final results show that the environmental analysis of each country or city by the method can effectively establish ecological protection areas in the corresponding regions.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bowen Jia "Determination of ecological protection zones in China and Pakistan based on fuzzy comprehensive evaluation and clustering method", Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 121682M (18 March 2022); https://doi.org/10.1117/12.2631306
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fuzzy logic

Carbon

Absorption

Data modeling

Carbon dioxide

Process modeling

Climatology

Back to Top