An empirical model for prediction of lake water suspended particulate matter

被引:32
作者
Lindström, M [1 ]
Håkanson, L [1 ]
Abrahamsson, O [1 ]
Johansson, H [1 ]
机构
[1] Uppsala Univ, Dept Earth Sci, S-75236 Uppsala, Sweden
关键词
SPM; lakes; empirical model; critical tests;
D O I
10.1016/S0304-3800(99)00081-2
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
It is of fundamental importance in lake mass balance modelling to distinguish between the dissolved and particulate fractions. To do this, the suspended particulate matter concentration (SPM) is needed as well as measured or modelled values of the partition coefficient (K-d). A regression model for SPM based on data from 26 European fakes covering a wide limnological range is presented. The model yields an r(2)-value of 0.87. It predicts lake typical SPM values from lake total phosphorous concentration (TP), reflecting the influence of bioproduction on SPM, pH, reflecting allochthonous and autochthonous influences on SPM and the dynamic ratio (DR), a morphometric parameter reflecting the influence of resuspension on SPM. The model is shown to be stable, easy to use, and since the model parameters have a wide range, the model can be very useful in predictive lake modelling. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
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页码:185 / 198
页数:14
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