Use of satellite images is known as a new technique to study changes in vegetation cover. On the other hand, rainfall plays a key role on the condition of vegetation cover. This article investigates the changes in vegetation and its relation to rainfall days and monthly time intervals over the (2000-2003) period. The region of study is part of Azerbaijan province located in an area surrounded. ...

Abstract: We propose and justify a model for seasonal rainfall using a copula of maximum entropy to model the joint distribution and using gamma distributions to model the marginal monthly rainfalls. The model allows correlation between individual months and thereby enables a much improved model for seasonal variation. A central theme is the principle of maximum entropy which we use to find the...

The aim of this study was to determine the independent effects of climatic factors: rainfall, temperature and relative humidity, on the occurrence of dengue hemorrhagic fever (DHF) in Thailand after adjustment for cyclical pattern. Data regarding monthly DHF reported cases by province, monthly rainfall, rain-days, average daily maximum temperature, average daily minimum temperature and average ...

The Natural Resources Conservation Service (NRCS) has assisted local sponsors with analysis, design and construction of approximately 26,000 of the 80,000 dams in the National Inventory of Dams. Many of these dams are reaching their design life and require rehabilitation. Rehabilitation efforts come at a time when NRCS is in the process of evaluating a potential change from a minimum 6-hour sto...

Based on the University of Utah Tropical Rainfall Measuring Mission (TRMM) precipitation feature (PF) database, tropical cyclone PFs (TCPFs) are identified for over 600 storms that reached tropical storm intensity level or above around the globe during eight TC seasons from the period of 1998–2006. Each TC season includes 6 months yr. Six basins are considered: Atlantic (ATL), east-central Paci...

This paper introduces and evaluates DryMOD, a dynamic water balance model of the key hydrological process in drylands that is based on free, public-domain datasets. The rainfall model of DryMOD makes optimal use of spatially disaggregated Tropical Rainfall Measuring Mission (TRMM) datasets to simulate hourly rainfall intensities at a spatial resolution of 1-km. Regional-scale applications of th...

Accurate forecasting of rainfall has been one of the most important issues in hydrological research. In this paper, a novel neural network technique, support vector regression (SVR), to monthly rainfall forecasting. The aim of this study is to examine the feasibility of SVR in monthly rainfall forecasting by comparing it with back–propagation neural networks (BPNN) and the autoregressive integr...