A dynamic model for suspended particulate matter (SPM) in rivers

被引:1
|
作者
Håkanson, L [1 ]
机构
[1] Uppsala Univ, Dept Earth Sci, S-75236 Uppsala, Sweden
来源
GLOBAL ECOLOGY AND BIOGEOGRAPHY | 2006年 / 15卷 / 01期
关键词
dynamic model; Europe; Israel; predictive power; models; rivers; SPM; suspended particulate matter; validation;
D O I
10.1111/j.1466-822x.2006.00196.x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Aim To present a general, process-based river model for suspended particulate matter (SPM). Location General approach based on processes; data from Europe and Israel. Methods The model has been tested and calibrated using an empirical river model for SPM and validated (blind-tested) using data from seven European sites. This modelling gives mean monthly SPM concentrations in water for defined river sites. The model is based on processes in the entire upstream river stretch (and not for given river segments) and calculates the transport of SPM from land to water, primary production of SPM (within the upstream river stretch), resuspension, mineralization and retention of SPM in the upstream river stretch (but not bed load of friction materials, such as sand). The catchment area is differentiated into inflow (similar to dry land) areas and outflow area (similar to wetland areas dominated by relatively fast horizontal SPM-fluxes). The model is simple to apply in practice as all driving variables may be accessed readily from maps. The driving variables are: latitude, altitude, continentality, catchment area and mean annual precipitation. Results Modelled values have been compared to independent empirical data from sites covering a relatively wide domain (catchment areas from 93 to 5250 km(2), precipitation from 400 to 660 mm year(-1), altitudes from -210 to 150 m a.s.l., latitudes from 47 to 59 degrees N and continentalities from 200 to 1000 km from the ocean). When blind-tested, the model predicts annual SPM-fluxes well. Conclusion When modelled values are compared to empirical data, the slope is almost perfect (1.03) and the r(2)-value is 0.9996. This is good, given the fact that there are several simplifications in the model structure. It must, however, be stressed that there are only seven validation cases and that this model has not been tested for small catchments.
引用
收藏
页码:93 / 107
页数:15
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