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 ...

  • Regional frequency analysis of short duration rainfall extremes using gridded daily rainfall data as co-variate

    A regional partial duration series (PDS) model is applied for estimation of intensity duration frequency relationships of extreme rainfalls in Denmark. The model uses generalised least squares regression to relate the PDS parameters to gridded rainfall statistics from a dense network of rain gauges with daily measurements. The Poisson rate is positively correlated to the mean annual ...


    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

  • 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

  • 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

  • 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

  • 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

  • Extreme rainfall statistics in the Marche region, Italy

    A statistical analysis of the rainfalls is carried out for detecting a possible trend in the observed data. The rainfall dataset refers to the historical series collected in the hydrographic basins of the Marche region. On the one hand, the annual maximum daily, hourly and sub-hourly rainfalls have been analysed, on the other hand Climate Change Indices by Expert Team on Climate Change ...


    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

  • 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

  • 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

  • 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

  • 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

  • Rainfall changes blamed for India’s groundwater depletion

    Changes in rainfall may be responsible for reducing groundwater storage in India more than withdrawals for agricultural irrigation, according to a recently published analysis. Overextraction has long been thought to be responsible for declines in groundwater, but the researchers found less rainfall to be a more important factor. They believe it’s the result of higher temperatures in the ...


    By Fluence Corporation

  • Modeling probabilistic radar rainfall estimation at ungauged locations based on spatiotemporal errors which correspond to gauged data

    This study presents a probabilistic radar rainfall estimation (PRRE) model to quantify the reliability and accuracy of the resulting radar rainfall estimates at ungauged locations from a radar-based quantitative precipitation estimation (QPE) model. This model primarily estimates the quantiles of the radar rainfall errors at ungauged locations by incorporating seven spatiotemporal variogram ...


    By IWA Publishing

  • Evaluation of the climate generator model CLIGEN for rainfall data simulation in Bautzen catchment area, Germany

    The objectives of this study were to: (i) evaluate the CLImate GENerator model (CLIGEN v.5.22564) to reproduce daily, monthly and yearly precipitation values across Bautzen catchment area, as well as storm patterns including maximum monthly 30 min intensity and average monthly storm duration at two stations, (ii) cross-validate CLIGEN's spatial and temporal prediction ability. Daily ...


    By IWA Publishing

  • A non-linear rainfall-runoff model applied to Amazon small catchments with limited data to simulate the flow duration curves

    In Amazon, hydroelectric power production excludes ungauged small catchments. Thus, the main objective of this paper is the implementation of a non-linear rainfall-runoff model on small catchments in the Amazon region to simulate flow duration curves for the hydropower production. Because the rainfall-runoff process is non-linear, modification is applied to a simple linear model based on the ...


    By Inderscience Publishers

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