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64 results for “rainfall model”
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Research ArticleOpen accessEvery word in the titleTIME SERIES MODELING OF MONTHLY RAINFALL IN ARID AREAS: CASE STUDY FOR SAUDI ARABIANidhal SaadaStochastic techniques are essential in planning and management of water resources systems especially in arid and semi-arid areas where water is scarce. The forecasting of future events requires identifying proper stochastic models to be used in this process. For this purpose, a Periodic ARMA (PARMA) model and a temporal disaggregation models were used in this study to investigate weather they … …American Journal of Environmental Sciences, Vol. 10, Issue 3 · 3 May 2014 · 7,204 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTime Series Analysis Model for Rainfall Data in Jordan: Case Study for Using Time Series AnalysisP.E. Naill M. MomaniProblem statement: Time series analysis and forecasting has become a major tool in different applications in hydrology and environmental management fields. Among the most effective approaches for analyzing time series data is the model introduced by Box and Jenkins, ARIMA (Autoregressive Integrated Moving Average). Approach: In this study we used Box-Jenkins methodology to build ARIMA model for monthly rainfall data … …American Journal of Environmental Sciences, Vol. 5, Issue 5 · 31 Oct 2009 · 8,813 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comparison of Spatio-Temporal Bayesian Models for Reconstruction of Rainfall Fields in a Cloud Seeding ExperimentSujit k. sahu, Giovanna Jona Lasinio, Arianna orasi, Kanti V. MardiaIn response to the drought experienced in Southern Italy a rain seeding project has been setup and developed during the years 1989-1994. The initiative was taken with the purpose of applying existing methods of rain enhancement technology to regions of south Italy including Puglia. The aim of this study is to provide statistical support for the evaluation of the experimental … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,810 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApplication of Rainfall-runoff Models to Zard River Catchment'sM. B. Rahnama, G. A. BaraniRainfall-runoff models are nonlinear processes according to the sequential and spatial distribution of the rainfall. So, it is difficult to explain the response of catchments systems with the simple models. In the present work simulation of the rainfall-runoff processes have been carried out by the Artificial Neural Networks (ANN) and the HEC-HMS models. The ANN models of Multi Layer Perceptron … …American Journal of Environmental Sciences, Vol. 1, Issue 1 · 31 Mar 2005 · 6,528 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModeling of Rainfall Characteristics for Monitoring of the Extreme Rainfall Event in Makassar CityWahidah Sanusi, Usman Mulbar, Hendra Jaya et al.Flooding is a common problem that occurs in some regions of Indonesia, including Makassar city. In the planning of flood control, rainfall variables are very necessary as the frequency, intensity and duration of rainfall. The relationship of these variables can be expressed in a curve Intensity-Duration-Frequency (IDF). The objectives of this study are to identify the best fitting distribution of … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 10 Apr 2017 · 7,797 accessesView PDFCite
InvestigationOpen accessEvery word in the titleBackpropagation Vs. Radial Basis Function Neural Model: Rainfall Intensity Classification For Flood Prediction Using Meteorology DataSoo See Chai, Wei Keat Wong, Kok Luong GohRainfall is one of the important weather variables that vary in space and time. High mean daily rainfall (>30 mm) has a high possibility of resulting in flood. Accurate prediction of this variable would save human lives and properties. Soft computing methods have been widely applied in this field. Among the various soft computing methods, Artificial Neural Network (ANN) is … …Journal of Computer Science, Vol. 12, Issue 4 · 15 Apr 2016 · 8,705 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpatial Analysis and Modeling the Nitrogen Flush after Rainfall Events at the Field Scale in SWATElizabeth Brooke Haney, Richard Lee Haney, Jeffrey George Arnold et al.Current nitrogen (N) models tend to neglect the contribution of the microbial population to the plant available N pool, resulting in an underestimation of yield and possible over or underestimation of N runoff from natural and agricultural landscapes. We used the measurement of microbial activity coupled with the measurement of their food source, water extractable nitrogen (N) and carbon (C), … …American Journal of Environmental Sciences, Vol. 12, Issue 2 · 11 Apr 2016 · 7,228 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Estimation of Rainfall using Fuzzy Set-Genetic Algorithms ModelTeerawat Thongwan, Anongrit Kangrang, Sahalaph HomwuttiwongProblem statement: Damaged by floods are natural disasters that have violence cause significant damage and economic and social. If we can prevent disasters that may occur in advance is important. So an estimated rainfall data is important information for prevention disasters. Approach: The objective of this study is to apply a fuzzy set theory to estimate rainfall. The genetic algorithm … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 1 · 28 Jan 2011 · 8,020 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModeling the Distribution of Rainfall Intensity using Hourly DataSalisu Dan'azumi, Supiah Shamsudin, Azmi ArisProblem statement: Design of storm water best management practices to control runoff and water pollution can be achieved if a prior knowledge of the distribution of rainfall characteristics is known. Rainfall intensity, particularly in tropical climate, plays a major role in the design of runoff conveyance and erosion control systems. This study is aimed to explore the statistical distribution of … …American Journal of Environmental Sciences, Vol. 6, Issue 3 · 30 Jun 2010 · 9,001 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRainfall Attenuation and Rainfall Rate Measurements in Malaysia Comparison with Prediction ModelsMandeep Singh Jit Singh, Syed Idris Syed Hassan, Mohd Fadzil AinAttenuation due to rain is a primary cause of communication impairment on satellite-earth paths, especially above 10GHz. Rainfall is a serious source of attenuation at such a frequency. This paper presents the characteristics of rain distribution in USM based on measured one minute rain rate. For attenuation of rain, predictions models like ITU and VIHT (Variable Isotherm Height Technique) model … …American Journal of Applied Sciences, Vol. 4, Issue 1 · 30 Apr 2007 · 6,938 accessesView PDFCite