TY - JOUR
T1 - A Comprehensive Evaluation Study on the Ecological Conservation Model of Saihanba, China and Its Application in the Asia-Pacific Regions
AU - Xu, Guoli
AU - In Wong, Cora Un
AU - Lin Ngan, Lei
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences.
PY - 2023/7/31
Y1 - 2023/7/31
N2 - The key of this paper is to extract several representative characteristic indicators and establish the ecosystem characteristic index system of Saihanba by collecting and preprocessing the data in Saihanba area for a comprehensive evaluation. A gray correlation model was used to calculate the correlation degree and rank the cities based on the characteristic indicators, with Beijing as the central point and extended to Xinjiang, Japan and other regions. Through the integration of the data from the official website and books, the data of the representative ecological aspects of the Saihanba was obtained and divided into 12 characteristic indicators to build the characteristic indicator system of the Saihanba ecological environment, and the maximum characteristic value and CR value were solved by using the hierarchical analysis method to assign values to the indicators and obtain the weight vector of each indicator. Based on the principal component analysis, the correlation matrix between the indicators was established to determine the importance of the factors, and finally, a comprehensive comparison and analysis of the changes in environmental conditions before and after the restoration of the Saihanba was performed. Based on the multivariate nonlinear regression fitting bias and optimization and TOPSIS comprehensive evaluation method to assess the importance of the indicators, it can be concluded that Saihanba played an important role in the fight against sandstorms in Beijing; through the evaluation model, the in-depth analysis of environmental indicators in Xinjiang region and Japan, the impact of the ecological model on environmental conditions in different regions was derived, which has positive implications for the promotion of similar ecological reserves.
AB - The key of this paper is to extract several representative characteristic indicators and establish the ecosystem characteristic index system of Saihanba by collecting and preprocessing the data in Saihanba area for a comprehensive evaluation. A gray correlation model was used to calculate the correlation degree and rank the cities based on the characteristic indicators, with Beijing as the central point and extended to Xinjiang, Japan and other regions. Through the integration of the data from the official website and books, the data of the representative ecological aspects of the Saihanba was obtained and divided into 12 characteristic indicators to build the characteristic indicator system of the Saihanba ecological environment, and the maximum characteristic value and CR value were solved by using the hierarchical analysis method to assign values to the indicators and obtain the weight vector of each indicator. Based on the principal component analysis, the correlation matrix between the indicators was established to determine the importance of the factors, and finally, a comprehensive comparison and analysis of the changes in environmental conditions before and after the restoration of the Saihanba was performed. Based on the multivariate nonlinear regression fitting bias and optimization and TOPSIS comprehensive evaluation method to assess the importance of the indicators, it can be concluded that Saihanba played an important role in the fight against sandstorms in Beijing; through the evaluation model, the in-depth analysis of environmental indicators in Xinjiang region and Japan, the impact of the ecological model on environmental conditions in different regions was derived, which has positive implications for the promotion of similar ecological reserves.
UR - http://www.scopus.com/inward/record.url?scp=85170361800&partnerID=8YFLogxK
U2 - 10.1051/e3sconf/202340604023
DO - 10.1051/e3sconf/202340604023
M3 - Conference article
AN - SCOPUS:85170361800
SN - 2555-0403
VL - 406
JO - E3S Web of Conferences
JF - E3S Web of Conferences
M1 - 04023
T2 - 9th International Conference on Energy Materials and Environment Engineering, ICEMEE 2023
Y2 - 8 June 2023 through 10 June 2023
ER -