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Titlebook: Stochastic Integral Equations and Rainfall-Runoff Models; Theodore V. Hromadka,Robert J. Whitley Book 1989 Springer-Verlag Berlin Heidelbe

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書目名稱Stochastic Integral Equations and Rainfall-Runoff Models
編輯Theodore V. Hromadka,Robert J. Whitley
視頻videohttp://file.papertrans.cn/878/877973/877973.mp4
圖書封面Titlebook: Stochastic Integral Equations and Rainfall-Runoff Models;  Theodore V. Hromadka,Robert J. Whitley Book 1989 Springer-Verlag Berlin Heidelbe
描述The subject of rainfall-runoff modeling involves a wide spectrum of topics. Fundamental to each topic is the problem of accurately computing runoff at a point given rainfall data at another point. The fact that there is currently no one universally accepted approach to computing runoff, given rainfall data, indicates that a purely deter- ministic solution to the problem has not yet been found. The technology employed in the modern rainfall-runoff models has evolved substantially over the last two decades, with computer models becoming increasingly more complex in their detail of describing the hydrologic and hydraulic processes which occur in the catchment. But despite the advances in including this additional detail, the level of error in runoff estimates (given rainfall) does not seem to be significantly changed with increasing model complexity; in fact it is not uncommon for the model‘s level of accuracy to deteriorate with increasing complexity. In a latter section of this chapter, a literature review of the state-of-the-art in rainfall-runoff modeling is compiled which includes many of the concerns noted by rainfall-runoff modelers. The review indicates that there is still no
出版日期Book 1989
關(guān)鍵詞Integral equation; calculus; floods; model; modeling; operator; statistics; uncertainty; water quality and w
版次1
doihttps://doi.org/10.1007/978-3-642-49309-6
isbn_softcover978-3-642-49311-9
isbn_ebook978-3-642-49309-6
copyrightSpringer-Verlag Berlin Heidelberg 1989
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Rainfall-Runoff Model Criterion Variable Frequency Distributions,this premise in hydrologic studies would indicate that hydrologic model estimates must be functions of random variables, and hence the estimates are random variables themselves. In this chapter, the distribution of the model estimates is considered in order to evaluate the annual T-year values.
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Rainfall-Runoff Aproximation, a point given rainfall data at another point. The fact that there is currently no one universally accepted approach to computing runoff, given rainfall data, indicates that a purely deterministic solution to the problem has not yet been found.
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Rainfall-Runoff Model Criterion Variable Frequency Distributions,s a dominant factor in the development, calibration, and application, of hydrologic models (e.g., Schilling and Fuchs, 1986, among others). Including this premise in hydrologic studies would indicate that hydrologic model estimates must be functions of random variables, and hence the estimates are r
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Using the Stochastic Integral Equation Method,quantities, given rainfall data. Important modeling issues may now perhaps be more rationally examined, such as rainfall-runoff model structure improvement, calibration, development of confidence interval estimates, among others. In this chapter, we will also develop the S.I.E.M. using model output.
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illars of standard mathematical philosophy.On the other hand, this period also witnessed the emergence of avariety of alternative theories of real numbers and correspondingtheories of continua, as well as non-Archimedean geometry,non-standard analysis, and a number of important generalizations ofthe
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