rainfall modeling Articles

  • Rainfall–runoff modelling using genetic programming

    This paper presents the application of genetic programming to the generation of models to assess the total runoff of a basin starting from the total rainfall in it and using data recorded in a sub-basin at the valley of Mexico (the Mixcoac sub-basin to the west of Mexico City). The modelling process is developed contrasting two types of models with different complexity degree: (1) a nonlinear ...


    By IWA Publishing

  • A conceptual grey rainfall-runoff model for simulation with uncertainty

    This paper presents an approach based on grey numbers to represent the total uncertainty of a conceptual rainfall-runoff model. Using this approach, once the grey numbers representing the model parameters have been properly defined, it is possible to obtain simulated discharges in the form of intervals (grey numbers) whose envelope defines a band which represents the total model uncertainty. The ...


    By IWA Publishing

  • Regionalisation of the parameters of the rainfall–runoff model PQRUT

    This paper presents the regionalisation of the three parameter event-based PQRUT model, which is used for design flood analyses. The PQRUT model is used for the analysis of peak flows for which a sub-daily temporal resolution is required. The availability of high-resolution discharge data and disaggregated precipitation data have made it possible to re-evaluate the regional regression ...


    By IWA Publishing

  • Towards a generic rainfall-runoff model for green roofs

    A simple conceptual model for green roof hydrological processes is shown to reproduce monitored data, both during a storm event, and over a longer continuous simulation period. The model comprises a substrate moisture storage component and a transient storage component. Storage within the substrate represents the roof's overall stormwater retention capacity (or initial losses). Following a storm ...


    By IWA Publishing

  • Rainfall, Runoff and Infiltration Re-visited

    Introduction The flow variations in sewers have been modelled for several years with a comparatively high degree of accuracy as far as the diurnal variations and responses to climatic conditions are concerned. However, until comparatively recently the variations in flow due to fluctuations in groundwater levels, soil storage capacity and wetness of the catchment have only been modelled in basic ...


    By Innovyze

  • Stochastic modelling of rainfall and runoff phenomenon: a time series approach review

    Rainfall-runoff simulation and forecasting is essential for disaster management, planning, designing and operation of water resource projects. This paper reviews the till date development and current status of time series analysis-based modelling and simulation attempts of rainfall-runoff phenomenon. The discussion starts with the historical demand to forecast the chaotic natural process of ...


    By Inderscience Publishers

  • A hybrid model coupled with singular spectrum analysis for daily rainfall prediction

    A hybrid model integrating artificial neural networks and support vector regression was developed for daily rainfall prediction. In the modeling process, singular spectrum analysis was first adopted to decompose the raw rainfall data. Fuzzy C-means clustering was then used to split the training set into three crisp subsets which may be associated with low-, medium- and high-intensity rainfall. ...


    By IWA Publishing

  • Feasibility and uncertainty of using conceptual rainfall-runoff models in design flood estimation

    Hydrological models are developed for different purposes including flood forecasting, design flood estimation, water resources assessment, and impact study of climate change and land use change, etc. In this study, applicability and uncertainty of two deterministic lumped models, the Xinanjiang (XAJ) model and the Hydrologiska Byråns Vattenbalansavdelning (HBV) model, in design flood ...


    By IWA Publishing

  • Impact of rainfall temporal resolution on urban water quality modelling performance and uncertainties

    A key control on the response of an urban drainage model is how well the observed rainfall records represent the real rainfall variability. Particularly in urban catchments with fast response flow regimes, the selection of temporal resolution in rainfall data collection is critical. Furthermore, the impact of the rainfall variability on the model response is amplified for water quality ...


    By IWA Publishing

  • Evaluation of approaches for estimation of rainfall and the unit hydrograph

    The impact of rainfall interpolation techniques and unit hydrograph estimation has been explored for four gauged locations in the Brahmani basin in east India. The use of ground-based and satellite-based data, coupled with testing two interpolation techniques (Thiessen polygon and inverse distance weighting), can yield improved rainfall estimates and fits to observed flows. Due to the presence of ...


    By IWA Publishing

  • Multivariate models for rainfall based on Markov modulated Poisson processes

    Point process models for rainfall are constructed generally based on Poisson cluster processes. Most commonly used point process models in the literature were constructed either based on Bartlett–Lewis or Neyman–Scott cluster processes. In this paper, we utilize a class of Cox process models, termed the Markov modulated Poisson process (MMPP), to model rainfall intensity. We use ...


    By IWA Publishing

  • Effects of rainfall data resolution on watershed-scale model performance in predicting runoff

    The hydrologic simulation program-FORTRAN (HSPF) model is widely used to develop management strategies for water resources, but its effectiveness is limited by predictive uncertainties associated with model input data. This study evaluated the effect of rainfall data resolution on the model performance when predicting runoff. We examined hourly, 3-hourly, 12-hourly, and 24-hourly temporal ...


    By IWA Publishing

  • The influence of rainfall time resolution for urban water quality modelling

    The objective of this paper is the definition of a methodology to evaluate the impact of the temporal resolution of rainfall measurements in urban drainage modelling applications. More specifically the effect of the temporal resolution on urban water quality modelling is detected analysing the uncertainty of the response of rainfall–runoff modelling. Analyses have been carried out using ...


    By IWA Publishing

  • Markov modulated Poisson process models incorporating covariates for rainfall intensity

    Time series of rainfall bucket tip times at the Beaufort Park station, Bracknell, in the UK are modelled by a class of Markov modulated Poisson processes (MMPP) which may be thought of as a generalization of the Poisson process. Our main focus in this paper is to investigate the effects of including covariate information into the MMPP model framework on statistical properties. In particular, we ...


    By IWA Publishing

  • Comparison of stochastic models of rainfall processes in mountainous climatic conditions

    The main objective of this work was to find a stochastic simulation model that was suitable for designing a rainwater harvesting system for agricultural water utilization and irrigation water in a mountainous region. Several models were applied using daily rainfall data from two sites (Gangneung and Daekwanreung) to assess the accuracy and suitability of the model for simulating the daily ...


    By IWA Publishing

  • Hydrological modeling using Effective Rainfall routed by the Muskingum method (ERM)

    This paper introduces a new rainfall runoff model called ERM (Effective Rainfall routed by Muskingum method), which has been developed based on the popular IHACRES model. The IHACRES model consists of two main components to transfer rainfall to effective rainfall and then to streamflow. The second component of the IHACRES model is a linear unit hydrograph which has been replaced by the classic ...


    By IWA Publishing

  • Hybrid wavelet-support vector machine approach for modelling rainfall–runoff process

    Because of the importance of water resources management, the need for accurate modeling of the rainfall–runoff process has rapidly grown in the past decades. Recently, the support vector machine (SVM) approach has been used by hydrologists for rainfall–runoff modeling and the other fields of hydrology. Similar to the other artificial intelligence models, such as artificial neural network (ANN) ...


    By IWA Publishing

  • Geomorphology-based genetic programming approach for rainfall–runoff modeling

    Nowadays, artificial intelligence approaches such as artificial neural network (ANN) as a self-learn non-linear simulator and genetic programming (GP) as a tool for function approximations are widely used for rainfall–runoff modeling. Both approaches are usually created based on temporal characteristics of the process. Hence, the motivation to present a comprehensive model which also ...


    By IWA Publishing

  • Enhanced accuracy of rainfall–runoff modeling with wavelet transform

    Wavelet transform (WT) is typically used to decompose time series data for only one hydrological feature at a time. This study applied WT for simultaneous decomposition of rainfall and runoff time series data. For the calibration data, the decomposed rainfall and runoff time series calibrate the subsystem response function using the least squares (LS) method at each scale. For the validation ...


    By IWA Publishing

  • Application of IHACRES rainfall-runoff model to the Wadi Dhuliel arid catchment, Jordan

    With increasing stress on water resources in Jordan, application of rainfall-runoff models can be part of the solution to manage and sustain the water sector. In this paper, the metric conceptual IHACRES model is applied to the Wadi Dhuliel arid catchment, north-east Jordan. Rainfall-runoff data from 19 storm events during 1986 to 1992 have been used in this study. Flood estimation was performed ...


    By IWA Publishing

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