An ecological sensitivity analysis based on GIS in Fuyang District,Hangzhou City, Zhejiang Province, China

CHEN Shan; JIANG Wenwei; CHEN Yao; WANG Xudong

doi:10.11833/j.issn.2095-0756.2015.06.003

Volume 32 Issue 6

Nov. 2015

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CHEN Shan, JIANG Wenwei, CHEN Yao, WANG Xudong. An ecological sensitivity analysis based on GIS in Fuyang District,Hangzhou City, Zhejiang Province, China[J]. Journal of Zhejiang A&F University, 2015, 32(6): 837-844. doi: 10.11833/j.issn.2095-0756.2015.06.003

Citation:

CHEN Shan, JIANG Wenwei, CHEN Yao, WANG Xudong. An ecological sensitivity analysis based on GIS in Fuyang District,Hangzhou City, Zhejiang Province, China[J]. Journal of Zhejiang A&F University, 2015, 32(6): 837-844. doi: 10.11833/j.issn.2095-0756.2015.06.003

An ecological sensitivity analysis based on GIS in Fuyang District,Hangzhou City, Zhejiang Province, China

doi: 10.11833/j.issn.2095-0756.2015.06.003

1.
School of Landscape Architecture, Zhejiang A & F University, Lin’an 311300, Zhejiang, China

Funds:

国家自然科学基金资助项目（30972342）

Received Date: 2015-01-13
Rev Recd Date: 2015-03-05
Publish Date: 2015-12-20

Abstract

To provide a scientific basis for urban planning and development, an ecological sensitivity analysis, frequently used in urban ecological development, was conducted in Fuyang District of Hangzhou City, Zhejiang Province. Six factors were selected to evaluate ecological sensitivity namely: land use type, slope, aspect, elevation, buffer zone of rivers, and vegetation cover index （NDVI） with ecological sensitivity being classified into five sensitivity grades: extreme, strong, moderate, slight, and non-sensitive. Factor weights were also calculated using an analytic hierarchy process （AHP）. Based on a spatial principal component analysis from geographical information system （GIS） and a factor superposition analysis were used for evaluation. Results for spatial distribution showed that ecological sensitivity in Fuyang District was very high with the area percentage of the five grades being extreme-7.14%, strong-18.95%, moderate-33.98%, slight-20.17%, and non-sensitive-19.76%. A land-use strategy for the different ecological sensitivity regions was presented. ［Ch, 2 fig. 2 tab. 21 ref.］
- environmental ecology,
- ecological sensitivity,
- geographical information system（GIS）,
- spatial principal component analysis,
- Fuyang District

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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An ecological sensitivity analysis based on GIS in Fuyang District,Hangzhou City, Zhejiang Province, China

1. School of Landscape Architecture, Zhejiang A & F University, Lin’an 311300, Zhejiang, China

Funds:

国家自然科学基金资助项目（30972342）

Received Date: 2015-01-13

Rev Recd Date: 2015-03-05

Publish Date: 2015-12-20

Key words:

Abstract: To provide a scientific basis for urban planning and development, an ecological sensitivity analysis, frequently used in urban ecological development, was conducted in Fuyang District of Hangzhou City, Zhejiang Province. Six factors were selected to evaluate ecological sensitivity namely: land use type, slope, aspect, elevation, buffer zone of rivers, and vegetation cover index （NDVI） with ecological sensitivity being classified into five sensitivity grades: extreme, strong, moderate, slight, and non-sensitive. Factor weights were also calculated using an analytic hierarchy process （AHP）. Based on a spatial principal component analysis from geographical information system （GIS） and a factor superposition analysis were used for evaluation. Results for spatial distribution showed that ecological sensitivity in Fuyang District was very high with the area percentage of the five grades being extreme-7.14%, strong-18.95%, moderate-33.98%, slight-20.17%, and non-sensitive-19.76%. A land-use strategy for the different ecological sensitivity regions was presented. ［Ch, 2 fig. 2 tab. 21 ref.］

An ecological sensitivity analysis based on GIS in Fuyang District,Hangzhou City, Zhejiang Province, China

doi: 10.11833/j.issn.2095-0756.2015.06.003

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Related

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