Urban Ecosystem Health Assessment of Foshan city based on Entropy and Grey Prediction Model
- DOI
- 10.2991/ism3e-15.2015.104How to use a DOI?
- Abstract
According to the connotation of urban ecosystem health and the ecosystem situation in Foshan, the health assessment index system was constructed which including five factors of vigor, organization, resilience, ecosystem service, population health and the assessment standard was also determined. The index weight was determined by entropy value method. Fuzzy mathematical evaluation method was applied to Foshan urban ecosystem health assessment from 2003 to 2012. Grey predicting model GM (1, 1) was established to analyze dynamic of ecosystem health in future. The results showed that urban ecosystem health developed from sick status to unhealthy status and healthy status in Foshan during 2003-2012. Vigor and organization were two factors advantageous to urban ecosystem health. Ecosystem service had been improved a lot. Resilience and population health were the two main stressful factors of urban ecosystem health. On the whole, Foshan urban ecosystem health showed an improving trend year by year. The status of ecosystem health had much to be improved through proper measures to alleviate or eliminate the stress factors. The GM (1, 1) model had good performance on model fitting and forecasting. It showed the city would maintain a good development in the next five years.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hui Liu PY - 2015/11 DA - 2015/11 TI - Urban Ecosystem Health Assessment of Foshan city based on Entropy and Grey Prediction Model BT - Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering PB - Atlantis Press SP - 436 EP - 440 SN - 2352-5401 UR - https://doi.org/10.2991/ism3e-15.2015.104 DO - 10.2991/ism3e-15.2015.104 ID - Liu2015/11 ER -