Linking landscape structures and ecosystem service value using multivariate regression analysis: a case study of the Chaohu Lake Basin, China

2015 ◽  
Vol 75 (1) ◽  
Author(s):  
Zhiming Zhang ◽  
Junfeng Gao
Keyword(s):  
Regression Analysis ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Chaohu Lake ◽  
Lake Basin ◽  
Ecosystem Service Value ◽  
Service Value ◽  
Chaohu Lake Basin ◽  
The Chaohu Lake Basin

A multi-proxy lacustrine record of last deglacial–early Holocene environmental variability in the lower Yangtze region from the Chaohu Lake Basin, eastern China

2017 ◽  
Vol 88 (3) ◽  
pp. 446-457 ◽  
Author(s):  
Houchun Guan ◽  
Li Wu ◽  
Jinzhe Zhang ◽  
Shihao Shen ◽  
Dongru Chu ◽  
...  
Keyword(s):  
Lacustrine Sediments ◽  
Cold Climate ◽  
Early Holocene ◽  
Chaohu Lake ◽  
Lake Basin ◽  
Chaohu Lake Basin ◽  
Lower Yangtze Region ◽  
Lower Yangtze ◽  
The Chaohu Lake Basin ◽  
Last Deglacial

AbstractThe Rb, Sr, and Ti content, Rb/Sr ratio, grain size, magnetic susceptibility, and magnetic fabric in sediments of the BZK1 core were utilized to reconstruct the evolution of the climatic environment in the Chaohu Lake Basin between the last deglacial and the early Holocene. Multi-proxy analyses indicate that lacustrine sediments in Chaohu Lake clearly record the Bølling-Allerød interstadial, the Younger Dryas event and dry-cold climate events occurring between 10.7 cal ka BP and 10.5 cal ka BP. At approximately 15.6–14.8 cal ka BP, the waters became deeper and the climate turned cool. The climate subsequently shifted to a relatively humid period and the lake was largest from 14.8 to 12.8 cal ka BP. From 12.8 to 11.7 cal ka BP, the climate abruptly turned dry and cold and the lake shrank to its lowest level. During 11.7–10.7 cal ka BP, the climate became relatively humid but, from approximately 10.7 to 10.5 cal ka BP, suddenly reverted to a dry and cold state. These climatic change records suggest that lacustrine sediments from the Chaohu Lake Basin in the lower Yangtze region responded actively to global climate changes, comparable with the environmental records from stalagmites and other lacustrine sediments in the region.

Environment and Culture during the Pre-Qin Period in the Chaohu Lake Basin, Anhui Province, East China

2012 ◽  
Vol 253-255 ◽  
pp. 829-834
Author(s):  
Li Wu ◽  
Feng Li ◽  
Xin Yuan Wang ◽  
Su Yuan Li ◽  
Cheng Zhu
Keyword(s):  
Chinese Culture ◽  
Environmental Changes ◽  
Archaeological Sites ◽  
Chaohu Lake ◽  
Lake Basin ◽  
Humid Climate ◽  
The North ◽  
Chaohu Lake Basin ◽  
Important Position ◽  
The Chaohu Lake Basin

The Chaohu Lake Basin is one of the human influenced regions of the Pre-Qin Period in China, and more than 100 archaeological sites of Pre-Qin Period were found in this area. There are good relationships between temporal-spatial distribution of archaeological sites and environmental changes, especially with the changes of lakeshore of Chaohu Lake caused by the regional climatic oscillation. The relatively warm and humid climate of the Pre-Qin Period, the important position of ancient Chinese culture exchanges between the north and south, the developed water network, and rich biological resources, all of these factors had been the important environmental foundation for the originating and development of the Pre-Qin culture in the basin.

scholarly journals APPLICATION OF CLASSIFICATION ALGORITHM OF MACHINE LEARNING AND BUFFER ANALYSIS IN TORISM REGIONAL PLANNING

2018 ◽  
Vol XLII-3 ◽  
pp. 2297-2302 ◽  
Author(s):  
T. H. Zhang ◽  
H. W. Ji ◽  
Y. Hu ◽  
Q. Ye ◽  
Y. Lin
Keyword(s):  
Land Use ◽  
Regional Planning ◽  
Rapid Development ◽  
Classification Algorithm ◽  
Support Vector ◽  
Chaohu Lake ◽  
Lake Basin ◽  
Multiple Time ◽  
Chaohu Lake Basin ◽  
The Chaohu Lake Basin

Remote Sensing (RS) and Geography Information System (GIS) technologies are widely used in ecological analysis and regional planning. With the advantages of large scale monitoring, combination of point and area, multiple time-phases and repeated observation, they are suitable for monitoring and analysis of environmental information in a large range. In this study, support vector machine (SVM) classification algorithm is used to monitor the land use and land cover change (LUCC), and then to perform the ecological evaluation for Chaohu lake tourism area quantitatively. The automatic classification and the quantitative spatial-temporal analysis for the Chaohu Lake basin are realized by the analysis of multi-temporal and multispectral satellite images, DEM data and slope information data. Furthermore, the ecological buffer zone analysis is also studied to set up the buffer width for each catchment area surrounding Chaohu Lake. The results of LUCC monitoring from 1992 to 2015 has shown obvious affections by human activities. Since the construction of the Chaohu Lake basin is in the crucial stage of the rapid development of urbanization, the application of RS and GIS technique can effectively provide scientific basis for land use planning, ecological management, environmental protection and tourism resources development in the Chaohu Lake Basin.

RS-and GIS-based study on ecological function regionalization in the Chaohu Lake Basin, Anhui Province, China

2013 ◽  
Vol 33 (18) ◽  
pp. 5808-5817 ◽  
Author(s):  
王传辉 WANG Chuanhui ◽  
吴立 WU Li ◽  
王心源 WANG Xinyuan ◽  
王官勇 WANG Guanyong ◽  
孙叶根 SUN Yegen ◽  
...  
Keyword(s):  
Ecological Function ◽  
Anhui Province ◽  
Chaohu Lake ◽  
Lake Basin ◽  
Rs And Gis ◽  
Chaohu Lake Basin ◽  
The Chaohu Lake Basin
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