the zoning of phenomena based on geographical location has a long history; any geographical zone is a part on ground level, which possesses noticeable internal consistency in terms of its existing phenomena and processes. agroclimatic zoning is mainly purposed to determine agroclimate regions and to evaluate these zones based on their relative utility in order to cultivate varieties of agricult...

The accurate production of a rainfall environment similar to natural rainfall by a rainfall simulator (RS) is a crucial and challenging task in rainfall instrument testing or calibration. Although the spatial uniformity of rainfall accumulation is a key parameter of an RS, the spatial uniformity comparison between simulated rainfall and natural rainfall, and the spatial uniformity improvements ...

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...

background; brucellosis (malta fever) is a major contagious zoonotic disease, with economic and public health importance. methods; to assess the effect of meteorological (temperature, rainfall, humidity, and wind) and climate parameters on incidence of brucellosis, brucellosis distribution and meteorological zoning maps of zanjan province were prepared using inverse distance weighting (idw) and...

Confidence in the estimation of variations in the frequency of extreme events, and specifically extreme precipitation, in response to climate variability and change is key to the development of adaptation strategies. One challenge to establishing a statistical baseline of rainfall extremes is the disparity among the types of datasets (observations versus model simulations) and their specific sp...

Rainfall prediction is an essential and challenging task in hydro-meteorology. Most of the existing weather dataset used for prediction consists of observatory record of several atmospheric parameters. Identifying the significant parameters from irrelevant and redundant parameter set for weather prediction is important because irrelevant parameters may decrease the prediction accuracy. The main...

in water resources projects knowledge of hydrological parameters is required. some of these parameters depend on the volume of water designed for those projects. in order to obtain a better yearly precipitation mean for karaj watershed, an attempt is made to homogenize the records of the various rainfall stations, using stations having longer recording periods. efforts are also made to determin...

The zoning of phenomena based on geographical location has a long history; any geographical zone is a part on ground level, which possesses noticeable internal consistency in terms of its existing phenomena and processes. Agroclimatic zoning is mainly purposed to determine agroclimate regions and to evaluate these zones based on their relative utility in order to cultivate varieties of agricult...

abstract urban expansion, pollution augmentation, and extention of major industrial activities in metropolitan areas impacted local climates of major cities. transforming big cities into heat islands is one of the most prominent results of such a micro-climate change. in this study, variation of precipitation, temperature and some other important climatic parameters including relative humidity,...