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chenyinghaha
铜虫 (初入文坛)
心静_依然: 屏蔽内容, 本版定位文献信息检索，投稿问题请到论文投稿交流去讨论，谢谢合作 2015-05-22 11:08:28
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本帖内容被屏蔽 |
3楼2015-05-22 10:51:23
jssxh
至尊木虫 (知名作家)
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zch79214: 金币+11, ★★★★★最佳答案 2015-01-28 11:03:46
心静_依然: LS-EPI+1, 感谢应助 2015-01-28 15:24:35
感谢参与，应助指数 +1
zch79214: 金币+11, ★★★★★最佳答案 2015-01-28 11:03:46
心静_依然: LS-EPI+1, 感谢应助 2015-01-28 15:24:35
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收录了，以下面文献为例 Urbanization driving forces of unexploited land conversion in ecologically fragile Karst areas of southwest China: A case study of Guiyang city Liu, Yan (School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Street, Nanjing, Jiangus Province 210023, China); Huang, Xianjin; Zhong, Taiyang; Luo, Guangjie Source: Nature Environment and Pollution Technology, v 13, n 1, p 63-71, March 2014 Accession number: 20142517826996 Title: Urbanization driving forces of unexploited land conversion in ecologically fragile Karst areas of southwest China: A case study of Guiyang city Authors: Liu, Yan1; Huang, Xianjin1, 2; Zhong, Taiyang1, 2; Luo, Guangjie1, 3 Author affiliation: 1 School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Street, Nanjing, Jiangus Province 210023, China 2 Land Development and Consolidation Technology Engineering Center of Jiangsu Province, Nanjing, Jiangsu Province 210023, China 3 Institute of Agro-ecological and Rural Development, Guizhou Normal University, Guiyang, Guizhou Province, 550018, China Corresponding author: Huang, X. Source title: Nature Environment and Pollution Technology Abbreviated source title: Nat. Environ. Pollut. Technol. Volume: 13 Issue: 1 Issue date: March 2014 Publication year: 2014 Pages: 63-71 Language: English ISSN: 09726268 Document type: Journal article (JA) Publisher: Technoscience Publications Abstract: Urbanization is regarded to be one of the most important factors driving land use change. In this paper, through an integrated technique of RS, GIS and GPS, unexploited land conversion has been unveiled from 1996-2010 in Guiyang and further examination has been made on the impact of urbanization on unexploited land change. And based on the adjustment of Markov process, land use transition probability and CLUE-S parameters, many scenarios of unexploited land changes in the study area have been simulated. It is found that: (1) the unexploited land in Guiyang has experienced complex changes due to the rapid social and economic change since 1996. It showed a declining trend generally and was reduced from 74.33 km2 in 1996 to 65.72 km2 in 2010, a reduction of 8.61km2 in 14 years. It has a close relationship with the rapid development of urbanization. (2) The urbanization comprehensive parameter (k) showed growth from 2.91% to 4.78% after urbanization development indicators were standardized during 1996-2010. (3) Regression analysis was used to unveil the relationship between urbanization and unexploited land. There was a significant correlation between them, which proved that the urbanization is one of the dominant factors to lead to exploited land change. (4) The unexploited land will show a significant decreasing trend in the coming 20 years, the conversion-out area will be larger than the conversion-in area in three scenarios and the gap will be widened gradually year by year. During multi-scenario simulations, unexploited land area decrease in ecological protection scenario is most prominent, the proportion of unexploited land converted to construction land in economic development scenario is the largest, and the area of grass land becoming unexploited land in unchanging trend scenario is the largest. Number of references: 35 Main heading: Economics Controlled terms: Geographic information systems - Land use - Markov processes - Regression analysis - Urban growth Uncontrolled terms: Comprehensive parameters - Ecological protection - Economic development - Guiyang City - Integrated techniques - Karst areas - Transition probabilities - Urbanization Classification code: 403 Urban and Regional Planning and Development - 403.1 Urban Planning and Development - 723.3 Database Systems - 922.1 Probability Theory - 922.2 Mathematical Statistics - 971 Social Sciences Database: Compendex Compilation and indexing terms, © 2015 Elsevier Inc. |
2楼2015-01-28 10:49:45
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