Abstract:In order to investigate the key physical geography drivers of lake eutrophication in the secondary topography ladder in China, curve estimation in SPSS was used to analyze the relationships between tropic level index (TLI)/Chl-a and physical geography characteristics of lakes. relationships between TLI and depth, altitude, temperature were fit to cubic/logarithm, quadratic and cubic model, respectively. The relationship between Chl-a and annual sunshine hours (ASH) was fit to quadratic/cubic model. It indicated that the key physical geography drivers of lake eutrophication in the second geography ladder were depth, altitude, temperature and ASH. Lake eutrophication effects, the relationship between Chl-a and transparency and the slopes of linear equation for Chl-a and TP were also analyzed. Transparency was the reciprocal of Chl-a in the lakes in Xinjiang Province, and in the lakes in Yunnan Province transparency and Chl-a were in power function. The slopes of linear equation for Chl-a and TP were 177.595 and 222.758 in lakes in Yunnan and Xinjiang, respectively. This results indicated that the efficiencies of nutrients used by algae were different in the second geography ladder in China.
曹金玲, 许其功, 席北斗, 高如泰, 姜磊, 丁京涛, 毛敬英, 孙雪松. 第二阶梯湖泊富营养化自然地理因素及效应[J]. 中国环境科学, 2011, 31(11): 1849-1855.
CAO Jin-Ling, XU Qi-Gong, XI Bei-Dou, GAO Ru-Tai, JIANG Lei, DING Jing-Tao, MAO Jing-Ying, SUN Xue-Song. Physical geography drivers of lake eutrophication and the characteristics of eutrophication effects in the secondary topography ladder in China. CHINA ENVIRONMENTAL SCIENCECE, 2011, 31(11): 1849-1855.