DocumentCode :
576709
Title :
Construction of an eco-risk assessment system in arid-oasis areas of China based on RS and GIS model
Author :
Wang, Ruofan ; Nan, Zhongren ; Li, Chengcheng
Author_Institution :
Coll. of Earth & Environ. Sci, Lanzhou Univ., Lanzhou, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
6317
Lastpage :
6320
Abstract :
Based on landscape ecology, this study uses the mathematic models which reflect the landscape structure, dominance and heterogeneity, to build an eco-risk assessment method which can be applied in arid-oasis areas. Using the eco-risk assessment method and the field data measured in 2000 and 2011, we conduct a case study on the eco-risk assessment in the Hei River Basin, which is a typical arid-oasis ecosystem in China. Our results show that the total ecological risk value in the Hei River Basin has decreased from13.7 to 8.3 in the past 10 years and now the northern area is in greater risk than other areas. We can conclude that the eco-risk assessment method presented here can detect the spatial distribution and the time series change of the eco-risk in arid-oasis area. This method could assist environmental management decision making for arid-oasis ecosystem in the future.
Keywords :
ecology; environmental management; geographic information systems; geophysical image processing; risk management; rivers; terrain mapping; time series; vegetation mapping; AD 2000; AD 2011; China; GIS model; Hei River Basin; arid-oasis area; arid-oasis ecosystem; eco-risk assessment system; ecological risk value; environmental management decision making; field data; landscape dominance; landscape ecology; landscape heterogeneity; landscape structure; mathematic model; remote sensing; spatial distribution detection; time series change; Earth; Ecosystems; Educational institutions; Indexes; Measurement; Rivers; Silicon; Geographic Information Systems; Image classification; Risk analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352704
Filename :
6352704
Link To Document :
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