A PCSWMM/GIS-based water balance model for the Reesor Creek watershed

被引:15
|
作者
Smith, D [1 ]
Li, J
Banting, D
机构
[1] Ryerson Univ, ENSCIMAN Program, Toronto, ON, Canada
[2] Ryerson Univ, Dept Civil Engn, Toronto, ON, Canada
[3] Ryerson Univ, Sch Geog, Toronto, ON, Canada
关键词
kriging; GIS; SWMM; water balance; watershed; precipitation; model; lumped; clustered; grid;
D O I
10.1016/j.atmosres.2004.12.010
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This paper presents the results of a study of a watershed experiencing the pressures of landuse change resulting from urban development. The study was undertaken to facilitate an understanding of the water balance of the watershed by developing and implementing watershed procedures that are to be addressed in a watershed plan. There were three components to the research: firstly, observation of the effects of spatially distributed rainfall measurements and their effect on modelling were assessed. Secondly, the model was then calibrated by observing how differing techniques can discretize both the landscape (e.g. land-use and soil type) and incoming precipitation. Finally, a modelling methodology was developed to integrate a Geographic Infon-nation System and a hydrologic model (e.g. Storm Water Management Model) in a water balance analysis on a watershed basis. Results show that, under certain conditions, kriging spatially distributed rainfall values can help predict rainfall at ungauged (virtual) sites. Discretization of a watershed was found to affect the differences between measured and generated runoff volumes; however, this can be refined with calibration. It was seen that a strong correlation between measured and predicted rainfall values did not always guarantee a strong relationship between measured and generated runoff Recommendations include the use of a longer time series of rainfall, streamflow and predicted rainfall to observe temporal variations, and the need to assess the differences in modelled rainfall values generated by various surface interpolation methods (e.g. Inverse Distance Weighting and other kriging options) currently available in GIS packages. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:388 / 406
页数:19
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