A Comprehensive Evaluation Study on the Ecological Conservation Model of Saihanba, China and Its Application in the Asia-Pacific Regions

Guoli Xu, Cora Un In Wong, Lei Lin Ngan

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Article number04023
JournalE3S Web of Conferences
Publication statusPublished - 31 Jul 2023
Event9th International Conference on Energy Materials and Environment Engineering, ICEMEE 2023 - Virtual, Online, Malaysia
Duration: 8 Jun 202310 Jun 2023


Dive into the research topics of 'A Comprehensive Evaluation Study on the Ecological Conservation Model of Saihanba, China and Its Application in the Asia-Pacific Regions'. Together they form a unique fingerprint.

Cite this