Multi-resources data based environment assessment of the Grand Canal in Beijing with CEAI model

A multi-resource data-based environment assessment of the Grand Canal in Beijing reveals that 34% of its area falls under a middle-level environmental category, with overall conditions deteriorating from suburban to urban regions. The study employed GIS and remote sensing (RS) techniques, utilizing SPOT5 imagery from 2006 to create a raster database of land use and vegetation coverage. By integrating heritage and ecological parameters, researchers developed a model using ArcGIS 9.3 that synthesized environmental conditions—correlating natural factors, economic development, and human impact—to evaluate the canal's state. This approach offers a scalable framework for assessing other sections of the Grand Canal across provinces, supporting sustainable management, protection, and potential UNESCO World Heritage Site designation.

Yang, J., Zhang, J. C., & Zhuang, J. Y. (2012). Multi-resources data based environment assessment of the Grand Canal in Beijing with CEAI model. Procedia Environmental Sciences, 13, 660–669. https://doi.org/10.1016/j.proenv.2012.01.058