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82 results for “Rainfall Data”
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Research ArticleOpen accessIn the abstractClimate Projections of Future Extreme Events in MalaysiaA.H. Syafrina, M.D. Zalina, A. NorzaidaIn Malaysia, extreme rainfall events are often linked to a number of environmental disasters such as landslides, monsoonal and flash floods. In response to the negative impacts of such disaster, studies assessing the changes and projections of extreme rainfall are vital in order to gather climate change information for better management of hydrological processes. This study investigates the changes and … …American Journal of Applied Sciences, Vol. 14, Issue 3 · 21 Mar 2017 · 8,253 accessesView PDFCite
Research ArticleOpen accessIn the abstractLandslide Susceptibility Analysis Using Numerical and Neural Network, Near Kedarnath, Uttarakhand, IndiaVinay Kumar Singh, Tariq Anwar Ansari, Vikram Vishal, T.N. SinghThe major concern in hilly regions is the stability of those slopes, which have been proclaimed due to unplanned excavation and uneven blasting during road widening and development activity. These slopes again become more vulnerable under dynamic loading and/or various types of human involvement, heavy rainfall and seismic activity. Failure of these slopes leads to loss of property and human … …American Journal of Environmental Sciences, Vol. 16, Issue 1 · 9 Mar 2020 · 7,772 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of Breeding Seasonality in Rusa Deer (Rusa timorensis) Stags via Serum Testosterone ProfilingWan Nor Fitri Wan Jaafar, Abd Wahid Haron, Rosnina Hj Yusoff et al.Breeding seasonality in mammals is influenced by the environmental changes and the endocrine response of the animals to that changes. Comprehension in breeding seasonality enables better reproductive management consequently maximizing the reproductive potential of the stags. Despite that, the study in breeding seasonality in Rusa deer (Rusa timorensis) is still scarce. Five healthy and matured stags were selected for this … …American Journal of Animal and Veterinary Sciences, Vol. 12, Issue 1 · 19 Mar 2017 · 8,608 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting of Humidity of Some Selected Stations from the Northern Part of Bangladesh: An Application of SARIMA ModelMd. Moyazzem Hossain, Md. Atikur Rahman, Md. Zahirul Islam, Ajit Kumar MajumderCommunity risk from natural hazards and climate change depends largely on physical and climatic settings of an area, socio-economic condition of a community and the magnitude, duration and consecutiveness of the hazard or change itself. Impacts of climate change can be characterized by increasing temperatures, rainfall, humidity changes and climate related extreme events such as floods, cyclone, droughts, sea level … …American Journal of Environmental Sciences, Vol. 12, Issue 3 · 10 May 2016 · 8,618 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial 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 accessIn the abstractExploratory Analysis of Rainfall Occurrence in South Sulawesi Region Using Spatial Point ProcessNurtiti Sunusi, Erna Tri Herdiani, Fachrul Nawawi, GiarnoThis paper study the probability of rainfall occurrence in round year in different segment in South Sulawesi region. In this research, rainfall occurrence in round year described by one line which has divided into 12 months. Each one of those months is assumed that the probability of a rainfall follow a homogeneous Poisson distribution. To modeling the rainfall occurrence in … …Journal of Mathematics and Statistics, Vol. 11, Issue 4 · 15 Feb 2016 · 7,450 accessesView PDFCite
Research ArticleOpen accessIn the abstractTIME 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 accessIn the abstractGAUSSIAN COPULA MARGINAL REGRESSION FOR MODELING EXTREME DATA WITH APPLICATIONSutikno, Heri Kuswanto, Iis Dewi RatihRegression is commonly used to determine the relationship between the response variable and the predictor variable, where the parameters are estimated by Ordinary Least Square (OLS). This method can be used with an assumption that residuals are normally distributed (0, σ2). However, the assumption of normality of the data is often violated due to extreme observations, which are often found … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 4 Apr 2014 · 7,620 accessesView PDFCite
Research ArticleOpen accessIn the abstractAPPLYING SEASONAL CLIMATE TRENDS TO AGRICULTURAL PRODUCTION IN TANJUNG KARANG, MALAYSIAMohd Ekhwan Toriman, Lee Qiao Yun, Mohd Khairul Amri Kamarudin et al.The North West Selangor Integrated Agriculture Development Agency (NWS-IADA) is the most productive agricultural part in Selangor, Malaysia. This is partly because of the inherent high fertility of the soils and the moderate variable climate. However, with increasing global concern about climate impacts, this article examines relative importance of climate influences on the paddy production rate over 28 years (1980-2008). … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 1 · 6 Jan 2014 · 7,912 accessesView PDFCite
Research ArticleOpen accessIn the abstractGENERALIZED LINEAR MIXED MODELS WITH SPATIAL RANDOM EFFECTS FOR SPATIO-TEMPORAL DATA: AN APPLICATION TO DENGUE FEVER MAPPINGKrisada Lekdee, Lily IngsrisawangThe Generalized Linear Mixed Models (GLMMs) with spatial random effects for spatio-temporal data are proposed. A hierarchical Bayesian method is used for parameter estimation. The random effects are assumed to be normally distributed and the spatial random effects are assumed to be proper Conditional Autoregressive (CAR) models. The proposed models are applied to Dengue fever data in Northern Thailand, including … …Journal of Mathematics and Statistics, Vol. 9, Issue 2 · 13 May 2013 · 8,065 accessesView PDFCite