Data - Based Mechanistic Modelling and Validation of Rainfall - Flow Processes

نویسنده

  • Peter Young
چکیده

DATA-BASED MECHANISTIC MODELLING AND VALIDATION OF RAINFALL-FLOW PROCESSES This appears as Young, P. C. (2001). Data-based mechanistic modelling and validation of rainfall-flow processes. In M. G. Anderson and P.D. Bates (Eds.), Model Validation: Perspectives in Hydrological Science. Chichester: J. Wiley, 117-161. Peter Young1 Centre for Research on Environmental Systems and Statistics, Institute of Environmental and Natural Sciences, Lancaster University, Lancaster LA1 4YQ

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Uncertainty, sensitivity analysis and the role of data based mechanistic modeling in hydrology

In this paper, we discuss the problem of calibration and uncertainty estimation for hydrologic systems from two points of view: a bottom-up, reductionist approach; and a top-down, data-based mechanistic (DBM) approach. The two approaches are applied to the modelling of the River Hodder catchment in North-West England. The bottom-up 5 approach is developed using the TOPMODEL, whose structure is ...

متن کامل

Data-based mechanistic rainfall-runoff continuous-time modelling in urban context

This paper presents a data-based mechanistic modelling (DBM) approach to rainfallrunoff modelling based on the direct identification and estimation of continuous-time models from discrete-time series. It is argued that many mechanistic model parameters are more naturally defined in the context of continuous-time, differential equation models. As a results, there are advantages if such models ar...

متن کامل

Rainfall-runoff modelling using artificial neural networks (ANNs): modelling and understanding

In recent years, artificial neural networks (ANNs) have become one of the most promising tools in order to model complex hydrological processes such as the rainfall-runoff process. In many studies, ANNs have demonstrated superior results compared to alternative methods. ANNs are able to map underlying relationship between input and output data without prior understanding of the process under in...

متن کامل

مدلسازی منطقه‌ای دبی‌های اوج در زیر حوزه‌های آبخیز سد سفیدرود با استفاده از شبکه عصبی مصنوعی

The model in this research was created based on the Artificial Neural Network (ANN) and calibrated in the Sefid-rood dam basin (excluding Khazar zone). This research was done by gathering and selecting peak flows of hydrographs from 12 sub basins, the concentration time of which was equal to or less than 24 hours and was caused only by rainfall. From all the selected sub basins, totally 661 hyd...

متن کامل

مدلسازی منطقه‌ای دبی‌های اوج در زیر حوزه‌های آبخیز سد سفیدرود با استفاده از شبکه عصبی مصنوعی

The model in this research was created based on the Artificial Neural Network (ANN) and calibrated in the Sefid-rood dam basin (excluding Khazar zone). This research was done by gathering and selecting peak flows of hydrographs from 12 sub basins, the concentration time of which was equal to or less than 24 hours and was caused only by rainfall. From all the selected sub basins, totally 661 hyd...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001