Assessment and Analysis of Factors of Eutrophication in Xinlicheng Reservoir
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NETL
NSTL
维普
万方数据
水体富营养化是静态水体水质恶化的重要表现之一，影响因子的分析为水体富营养化治理提供依据。以新立城水库2004-2011年间降水、水温、pH 、营养盐等数据为依据，采用综合营养状态指数法评价水库营养化水平；采用主成分分析及回归统计法，提取主成分并建立回归方程，探讨富营养化与影响因子之间的关系。结果表明，2004-2011年，水质呈现一个先恶化再好转的过程；三个主成分 F1、F2、F3：F1由降水量、水温来水量决定，F2由 SD和 pH 决定，F3由氮磷营养盐决定；并建立三变量的回归方程：TL I ＝48．777＋1．041 F1＋1．411 F2＋2．944 F3，统计量 F相伴概率小于显著性水平 P ＜0．01，通过 F 检验，方程预测结果的平均相对误差为6．53％，预测结果与实际拟合程度较好，认为回归方程效果比较显著。
Analysis of impact factors can provide basis for governing eutrophication ,which is one of the important performance of wa-ter quality deterioration .In this study ,the comprehensive nutrition state index method was adopted to evaluate nutrition level of Xin -licheng reservoir ,the principal component analysis method and regression statistical method were used to extract principal compo -nents and establish regression model for discussing relationship between eutrophication and impact factors .The results showed that the water quality deteriorated first and then better in 2004 to 2011 .The first principal component F1 was mainly decided by precipita-tion ,temperature and inflow ;the second principal component F2 was mainly decided by SD and pH ;the third principal component F3 was mainly decided by nutritive salt such as nitrogen and phosphorus .The regression equation of the three variables was estab-lished as TL I = 48 .777 + 1 .041 F1 + 1 .411 F2 + 2 .944 F3 ,the statistic F concomitant probability was less than significance level . The average relative error of predicted results was 6 .53% ,which indicated that the predicted result was accorded with the actuality and the effect was significant .
XinlichengEutrophicationPrincipal componentMultiple linear regression
NETL
NSTL
维普
万方数据
