The Response of Ecosystem Service Function to the Change of Land Use in Nansi Lake Basin

2020 ◽  
Vol 09 (02) ◽  
pp. 88-96
Author(s):  
晰钰 程
2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Weiliang Wang ◽  
Tiantian Ju ◽  
Wenping Dong ◽  
Xiaohui Liu ◽  
Chuanxi Yang ◽  
...  

Based on the data analysis of economic development and the water environmental quality from 2002 to 2012 in the Nansi Lake Basin in China, the correlation between economic development and the water environmental quality was researched. Analysis shows that the GDP of the Nansi Lake Basin had an average annual growth of 7.3% in 2012, and the COD andCODMnhad the average annual decrease of 7.69% and 6.79%, respectively, compared to 2002. Basin water environmental quality overall improved, reaching Class III of the “Environmental quality standards for surface water (GB3838-2002).” The pollution of the water environment was analyzed from three aspects: agricultural fertilizers and pesticides, livestock, and aquaculture. Results indicated that the water pollution of the Nansi Lake Basin mainly came from nonpoint source pollution, accounting for more than 80% of the overall pollution. The contributions of both agricultural fertilizers and pesticides account for more than 85% of the overall nonpoint source, followed by livestock and aquaculture. According to the water pollution characteristics of the Nansi Lake Basin, the basin pollution treatment strategy and prevention and treatment system were dissected, to solve the pollution problem of the Nansi Lake Basin.


2015 ◽  
Vol 1092-1093 ◽  
pp. 1017-1020 ◽  
Author(s):  
Jie Zhong Wang ◽  
Li Yuan Yang ◽  
Yun Qian Wang ◽  
Bing Hua Wang

The Environment Kuznets Curve (EKC) hypothesis was applied to explore the relationship between economic growth and heavy metal pollution of lake sediments in Nansi Lake basin. The indicator of economic growth (IEG) was extracted from ten important economic indexes by the method of principal component analysis based on the data from 1978 to 2007. Some representative heavy metals including Hg, Cu, Br and Mn were chosen to analyze the level of heavy metals pollution in Nansi Lake basin. According to the previous research results that the deposition rate of Nansi Lake sediments was 3.5 mm/a, Kriging interpolation method was used to segment the 10.5cm core into 30 parts. The coupling results show that there is an inverted U-shaped curve between IEG and the element Br, half of an inverted U-shaped curve between IEG and Hg and Mn, and a N-shaped curve between IEG and Cu.


2015 ◽  
Vol 30 (4) ◽  
pp. 1099-1113 ◽  
Author(s):  
Dunxian She ◽  
Jun Xia ◽  
Longteng Zhu ◽  
Junmei Lü ◽  
Xiangdong Chen ◽  
...  

2017 ◽  
Vol 29 (1) ◽  
pp. 135-142
Author(s):  
JIANG Yan ◽  
◽  
XUE Lifang ◽  
YU Hongxue ◽  
MENG Yaoyao

Land ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 951 ◽  
Author(s):  
Xinchen Gu ◽  
Aihua Long ◽  
Guihua Liu ◽  
Jiawen Yu ◽  
Hao Wang ◽  
...  

Poyang Lake is a typical lake in the middle and lower reaches of the Yangtze River and is the largest freshwater lake in China. The habitat quality of Poyang Lake has been declining in recent years, leading to a series of ecological problems. An ecological risk evaluation, based on land use, is important in order to promote a coordinated development of land use and the ecological environment. In this paper, land use data from the Poyang Lake basin in the corresponding years are interpreted based on the images from the Landsat satellite mission in seven periods from 1980 to 2020. The lake surface and the 1 km lakeshore zone of Poyang Lake are extracted based on the interpreted land use data. Finally, the ecological service value per unit area of the area is measured by combining it with the Chinese terrestrial ecosystem service value equivalent table, and then with the value of each ecological factor and the value of the changes to land use type. The research results show that: (1) from 1980 to 2000, the lake area of Poyang Lake had an overall decreasing trend (the area slightly increased from 1980 to 1990); from 2000 to 2020, the lake area of Poyang Lake gradually increased (the area slightly decreased from 2015 to 2020). (2) The farmland, forest, grassland and desert areas gradually increased and the wetlands gradually decreased over 40 years; the area of the water body gradually increased from 1980 to 2010, and gradually decreased from 2010 to 2020. (3) The ecosystem service value of the lakeshore zone of Poyang Lake fluctuated around 15,000 × 106 Yuan from year to year.


2020 ◽  
Vol 26 (2) ◽  
pp. 200022-0 ◽  
Author(s):  
Shiguo Xu ◽  
Yixiao Cui ◽  
Chuanxi Yang ◽  
Shujing Wei ◽  
Wenping Dong ◽  
...  

The Fuzzy Comprehensive Evaluation (FCE) and the Principal Component Analysis (PCA) were simulated to assess water quality of the Nansi Lake Basin, China. The membership functions were established via the Nor-Half Sinusoidal Distribution Method, and the weight was calculated via the Exceeding Standard Multiple Method. To enhance the efficiency of extracting principal pollutant, the eigenequation was solved through the Jacobi Method, and the principal components were extracted based on eigenvalue, contribution ratio, accumulating contribution ratio, principal component loading and score. Water quality classification based on “National Surface Water Environmental Quality Standards of China (GB3838-2002) was used to assess the water quality. Considering the difference of the temporal and spatial distribution in average, water quality of Level I was 28.9%, 28.1%, 25.1%, 25.6%, respectively in spring, summer, autumn, and winter, which suggested that water quality in spring and summer was better than in autumn and winter. The order of water quality was Zhaoyang Lake (Level I) > Nanyang Lake (Level I) > Dushan Lake (Level III) > Weishan Lake (Level III and IV). There were four extracted principal components that can replace the fourteen pollutant indexes for assessing water quality. According to the annual mean data of the 1st principal components, the most important pollutions were heavy metals, including As (0.933), Hg (0.931), Cd (0.929), Cr(VI) (0.926), Pb (0.925), and Cu (0.534). It is proved that the combined FCE-PCA model could provide valuable information in the water quality assessment for the Nansi Lake Basin.


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