rainfall data Articles

  • Investigation of Rainfall-Derived Infiltration & Inflow with the Use of Radar Rainfall Volume Data

    This paper describes an analytical approach to estimating areas with rainfall-derived infiltration & inflow (RDI&I) to an area of several hundred square meters, with the use of historical data of the wastewater treatment plant, and meteorological data. It also presents an application of this method for estimating areas with RDI&I in the Asakawa Treatment Area by analyzing past data of ...

  • Get more out of Water Resources Engineering Models

    The effort required to develop water resources engineering models can be significant. But once developed, in many instances the models are only evaluated for a limited, or a single set of conditions. The results and predictions obtained from these evaluations are the ones used in design, presented in reports and conveyed to decision makers and the public. This approach might serve ...


    By XP Solutions

  • Impact of rainfall data resolution in time and space on the urban flooding evaluation

    Climate change and modification of the urban environment increase the frequency and the negative effects of flooding, increasing the interest of researchers and practitioners in this topic. Usually, flood frequency analysis in urban areas is indirectly carried out by adopting advanced hydraulic models to simulate long historical rainfall series or design storms. However, their results are ...


    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

  • Assessment of rainfall aggregation and disaggregation using data-driven models and wavelet decomposition

    The objective of this study is to develop hybrid models by combining data-driven models, including support vector machines (SVM) and generalized regression neural networks (GRNN), and wavelet decomposition for aggregation and disaggregation of rainfall. The wavelet-based support vector machines (WSVM) and wavelet-based generalized regression neural networks (WGRNN) models are obtained using ...


    By IWA Publishing

  • Trends in rainfall intensity for stormwater designs in Ontario

    The intensities of short-duration rainfall events are fundamental inputs to the design of stormwater management infrastructure. However, since stormwater infrastructure must function as designed for many decades, if there are long-term trends in rainfall intensities, design storms need to be modified. Evidence demonstrates, using data from 13 rain gauges in Ontario, that storm intensities ...


    By IWA Publishing

  • 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

  • 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

  • A spatial-temporal rainfall generator for urban drainage design

    The work presented here is a contribution to the Thames Water project of improving the Counters Creek catchment sewerage system in London. An increase in the number of floods affecting basements in the area has indicated the need for improvements to the system. The cost of such improvements could be very high, and as such it is important to determine whether the traditional approach of applying ...


    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

  • Radar-rainfall estimation algorithms of Hydro-NEXRAD

    Hydro-NEXRAD is a prototype software system that provides hydrology and water resource communities with ready access to the vast data archives of the U.S. weather radar network known as NEXRAD (Next Generation Weather Radar). This paper describes radar-rainfall estimation algorithms and their modular components used in the Hydro-NEXRAD system to generate rainfall products to be delivered to ...


    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

  • Comparison of different radar-raingauge rainfall merging techniques

    The improvement of precipitation estimation with the use of radar-raingauge rainfall merging techniques is influenced by several factors, such as topography, storm types, raingauge network density for adjustment, data quality and the rainfall accumulation time. However, the influence of the raingauge network configuration on the performance of radar-raingauge merging methods is often ignored. ...


    By IWA Publishing

  • The SESAMO early warning system for rainfall-triggered landslides

    The development of Web-based information systems coupled with advanced monitoring systems could prove to be extremely useful in landslide risk management and mitigation. A new frontier in the field of rainfall-triggered landslides (RTLs) lies in the real-time modelling of the relationship between rainfall and slope stability; this requires an intensive monitoring of some key parameters that ...


    By IWA Publishing

  • Statistical characteristics of rainfall in the Onkaparinga catchment in South Australia

    The main objective of this study was to investigate the statistical characteristics of point rainfall and the novelty of the work was the development of a hybrid probability distribution that can model the full spectrum of daily rainfall in the Onkaparinga catchment in South Australia. Daily rainfall data from 1960 to 2010 at 13 rainfall stations were considered. Spatial dependency among the ...


    By IWA Publishing

  • Comparison of spatial rainfall data calculated with a meteorological model and from interpolation of measurements – implications for FRAME modelled wet deposition

    This work quantifies the differences between the two sources of spatial information of precipitation on FRAME modelled wet deposition of oxidised sulphur (SOx), nitrogen (NOy) and reduced nitrogen (NHx) for two years in an area of Poland. The model was run twice, first with precipitation dataset calculated with the WRF model (pWRF). The second run was based on interpolation of measured ...


    By Inderscience Publishers

  • A feasibility of six–hourly rainfall forecast over central India using model output and remote sensing data

    Rainfall forecast has prime importance in an agrarian country like India, wherein the agricultural production is solely dependent on monsoon rainfall. In this paper, an artificial neural network (ANN) technique is used to construct a non–linear mapping between output data from global forecast system (GFS) and rainfall from tropical rainfall measuring mission (TRMM) satellite measurements. The ...


    By Inderscience Publishers

  • Short-term forecasting of urban storm water runoff in real-time using extrapolated radar rainfall data

    Model-based short-term forecasting of urban storm water runoff can be applied in real-time control of drainage systems in order to optimize system capacity during rain and minimize combined sewer overflows, improve wastewater treatment or activate alarms if local flooding is impending. A novel online system, which forecasts flows and water levels in real-time with inputs from extrapolated radar ...


    By IWA Publishing

  • Application of satellite-derived rainfall for hydrological modelling in the data-scarce Black Volta trans-boundary basin

    This study, conducted in the Black Volta basin of Ghana, determined how well TRMM Multi-Satellite Precipitation Analysis (TMPA) data compare with rain gauge measurements. The potential of using the TMPA data as inputs into a hydrological model for runoff simulation in a data-scarce basin was also assessed. Using a point-to-grid approach, accumulations of ground measured rainfall on daily, ...


    By IWA Publishing

  • Effects of data time-step on the accuracy of calibrated rainfall–streamflow model parameters: practical aspects of uncertainty reduction

    The effects of data time-step on the accuracy of calibrated parameters in a discrete-time conceptual rainfall–streamflow model are reviewed and further investigated. A quick-flow decay time constant of 19.9 hr, calibrated for the 10.6 km2 Wye at Cefn Brwyn using daily data, massively overestimates a reference value of 3.76 hr calibrated using hourly data (an inaccuracy of 16.1 hr or ...


    By IWA Publishing

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