Improved parameter inference in catchment models: 2. Combining different kinds of hydrologic data and testing their compatibility

Water Resources Research - Tập 19 Số 5 - Trang 1163-1172 - 1983
George Kuczera

Tóm tắt

Often some of the parameters of catchment models fitted to runoff data are poorly determined thereby making the task of developing useful regionalization relationships more difficult. The Bayesian methodology developed in part 1 is extended to utilize several kinds of hydrologic data in parameter inference, the goal being to improve the precision of poorly determined parameters. The concept of compatibility is developed using statistical hypothesis tests. Different kinds of data are said to be compatible if differences between their fitted parameters are not statistically significant. The pooling of incompatible data may undermine the model's ability to predict runoff and also induce bias in the parameters. A hierarchy of three levels of information is introduced to enable systematic checking for compatibility. Finally, a case study is presented. Using data on runoff, soil moisture, and interception, it is shown that substantial reductions in parameter uncertainty can be realized; also the importance of compatibility testing is demonstrated.

Từ khóa


Tài liệu tham khảo

Anderson T. W., 1958, An Introduction to Multivariate Statistical Analysis

Box G. E. P., 1973, Bayesian Inference in Statistical Analysis

10.1016/0022-1694(76)90013-5

Johnston P. R. D. H.Pilgrim A study of parameter optimization for a rainfall‐runoff modelRep. 131Sch. of Civ. Eng. Univ. of N.S.W. Sydney 1973.

10.1029/WR018i001p00146

Kuczera G. Improved inference of catchment model parametersRep. 1/1982Dep. of Civ. Eng. Monash Univ. Clayton Victoria 1982b.

Kuczera G., Improved parameter inference in catchment models, 1, Evaluating parameter uncertainty, Water Resour. Res., 10.1029/WR019i005p01151

Langford K. J. P. J.O'Shaughnessy A study of canopy interception in native forests and conifer planatationsRep. MMBW‐W‐0007Melbourne and Metrop. Board of Works Melbourne Victoria 1977.

Langford K. J. H. P.Duncan D. P.Heeps Forecasting streamflow and storage using a soil dryness index modelRep. MMBW‐W‐0031Melbourne and Metrop. Board of Works Melbourne Victoria 1978.

Theil H., 1971, Principles of Econometrics

World Meteorological Organization Intercomparison of conceptual models used in operational hydrological forecastingRep. 7W.M.O. Operat. Hydrol. Geneva 1975.