Ecological sensitivity analysis in Fengshun County based on GIS

Xia Zhou; Hong-ou Zhang

doi:10.1117/12.813074

3 November 2008 Ecological sensitivity analysis in Fengshun County based on GIS

Xia Zhou, Hong-ou Zhang

Proceedings Volume 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments; 71452I (2008) https://doi.org/10.1117/12.813074
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

Ecological sensitivity in Fengshun County was analyzed by using GIS technology. Several factors were considered, which included sensitivity to acid rain, soil erosion, flood and geological disaster. Meanwhile, nature reserve and economic indicator were also considered. After single sensitivity assessment, the general ecological sensitivity was computed through GIS software. Ranging from low to extreme the ecological sensitivity was divided into five levels: not sensitive, low sensitive, moderately sensitive, highly sensitive and extremely sensitive. The results showed there was highly sensitivity in the south-east Fengshun. With the sensitivity and environment characters, the ecological function zone was also worked out, which included three big ecological function zones and ten sub-ecological zones. The three big ecological function zones were hill eco-environmental function zone, platform and plain ecological construction zone, ecological restoration and control zone. Based on the analyzed results, some strategies on environmental protection to each zone were brought forward, which provided the gist for making urban planning and environmental protection planning to Fengshun.

Citation Download Citation

Xia Zhou and Hong-ou Zhang "Ecological sensitivity analysis in Fengshun County based on GIS", Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71452I (3 November 2008); https://doi.org/10.1117/12.813074

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KEYWORDS

Geographic information systems

Floods

Environmental sensing

Environmental science

Vegetation

Ecosystems

Soil science

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