DocumentCode :
2321091
Title :
Ecological environment quality evaluation in mining city A case of Panzhihua
Author :
Huaiyong Shao ; Wei Xian ; Yang Wunian ; Jie, Huang ; Zhi, Liu
Author_Institution :
Chengdu Univ. of Technol., Chengdu
fYear :
2009
fDate :
20-22 May 2009
Firstpage :
1
Lastpage :
6
Abstract :
Basing on multi-source remote sensing data, statistical data, supporting of GIS technology, this study carried out the research on comprehensive evaluation of the ecological environment quality of resource-based city - Panzhihua City from five aspects which is biological abundance, vegetation coverage, water density, land degradation and pollution load. The results show that the quality of the overall situation of the ecological environment in Panzhihua City was divided into 5 categories from good to bad, and the area accounting for the city area respectively is 6.58%, 29.44%, 37.04%, 22.65% and 4.29%. The ecological environment situation Along the Jinsha River and Anning River is significantly worse than other regions, and more near from the river, the poorer the quality of the ecological environment. In order to improve the ecological environment of the study area, ecological reconstruction of mining zone region should be strengthened, clean production process should be through every aspect of mineral development, Returning farmland to forest projects should be continue to actively and steadily push forward, and soil erosion should be control maximally.
Keywords :
ecology; geographic information systems; minerals; mining; pollution; remote sensing; statistical analysis; vegetation; Anning River; China; GIS technology; Jinsha River; Panzhihua City; biological abundance; clean production process; ecological environment quality evaluation; forest projects; land degradation; mineral development; mining city; multi-source remote sensing data; pollution load; soil erosion; statistical data; vegetation coverage; water density; Cities and towns; Degradation; Geographic Information Systems; Land pollution; Production; Remote sensing; Rivers; Vegetation; Water pollution; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Urban Remote Sensing Event, 2009 Joint
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3460-2
Electronic_ISBN :
978-1-4244-3461-9
Type :
conf
DOI :
10.1109/URS.2009.5137624
Filename :
5137624
Link To Document :
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