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Rainfall Modeling Articles & Analysis
198 articles found
The full-house station gives producers plenty to think about: soil moisture at 10, 20, 30, 50, 100 centimetres rainfall solar radiation growing degree days air temperature soil temperature humidity leaf wetness wind speed and direction “An example of how the moisture probe can make money plays out like we had last spring near Regina,” he said. ...
Key features Three different modes of operation Rainfall. Expected operation is driven by radar rainfall data in a configurable area or polygon around the CSO. Uses the Window of Operation concept detailed below. Hydraulic model. Expected operation is driven by a MAP Sewer simplified hydraulic model. This predicts flow in ...
This powerful new Script Editor function gives the user an accessible way to create and evaluate sophisticated mathematical functions and models that can be applied in real-time to the measurement data collected by the GP2 - providing useful outputs from the combination of different types of measurements and/or multiple sensors. ...
We track rain using precipitation models and measure the amount of irrigation water that is applied to the field, and then calculate the farmers’ water use efficiency by dividing the yield by the amount of water on the field. ...
Project Hydrological effects of revegetation on hillsides in the Baviaanskloof, South Africa Carried out by Marjan Sommeijer Country South Africa Background research Marjan Sommeijer travelled to Baviaanskloof in South Africa in 2010 to conduct research for her placement as part of her Bachelor’s degree in International Land and Water Management at Wageningen University. The ...
Data was collected via wireless and cloud-based systems. Simulated rainfall was applied to the plots to expedite data collection and reduce the risk that insufficient rainfall events would occur during the short available trial period. ...
This study provides estimates on initial conditions for urban permeable surfaces via continuous simulation of the infiltration capacity using historical rain data. An analysis of historical rainfall records show that accumulated rainfall prior to large rain events does not depend on the return period of the event. Using an infiltration-runoff ...
The conceptual rainfall–runoff (HBV model) is applied to evaluate impacts of future climate changes on the hydrological system of the Richmond River catchment, Australia. Daily observed rainfall, temperature and discharge and long-term monthly mean potential evapotranspiration from the hydro-meteorological stations within the catchment over ...
Rainfall–runoff process identification, due to uncertainties and complexities, requires advanced modeling strategies. ...
Low Impact Development (LID) Best Management Practices (BMPs) such as bioretentions, green roofs, rain barrels, vegetative swales, and permeable pavements have been implemented to diminish the adverse effects of urbanization. In this study, a hydrological model for a Rainfall-Watershed-Bioretention (RWB) system is developed by using the Environmental Protection ...
The present study aimed to develop a hybrid model to predict the rainfall time series of Urmia Lake watershed. For this purpose, a model based on discrete wavelet transform, ARIMAX and least squares support vector machine (LSSVM) (W-S-LSSVM) was developed. The proposed model was designed to handle linear, nonlinear and ...
This study presents a depth–duration–frequency (DDF) model, which is applied to the annual maxima of sub-hourly rainfall totals of selected stations in England and Wales. ...
Isotope data from streamflow samples taken during rainfall or snowmelt events can be useful for model calibration, particularly to improve model consistency and to reduce parameter uncertainty. To reduce the costs associated with stream water sampling, it is important to choose sampling times with a high information content. We used the ...
Classic rainfall–runoff models usually use historical data to estimate model parameters and mean values of parameters are considered for predictions. However, due to climate changes and human effects, model parameters change temporally. To overcome this problem, normalized difference vegetation index (NDVI) derived from ...
In this study, the impact of LUCC on runoff and pollutants in an urbanizing catchment of Guang-Ming New District in Shenzhen, China, were quantified using a dynamic rainfall-runoff model with the EPA Storm Water Management Model (SWMM). ...
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. ...
Event-based rainfall–runoff models are useful tools for hydrologic design. Of the many loss models, the ‘initial loss-continuing loss’ model is widely adopted in practice. Some of the key limitations with these types of loss models include the arbitrary selection of initial moisture (IM) conditions and lack ...
The goal of this study is to develop models that account for nonlinearity relationships in flood forecasting, which can aid future flood warning and evacuation system models. Water storage estimates from the Gravity Recovery and Climate Experiment, along with observed discharge and rainfall data were used to develop two multivariate ...
Flooding produced by high-intensive local rainfall and drainage system capacity exceedance can have severe impacts in cities. ...
Conceptual rainfall–runoff models are widely used to understand the hydrologic responses of catchments of interest. ...