climate is one of the most important factors that influence the quality and quantity of crops. understanding the natural features of any region, especially about the climate, can play a major role in making plans and land use planning. sugar beet, is one of the major industrial plants, that in addition to producing one of the most fundamental basic needs of society, namely sugar, it can have ot...

Background: Forecasting of air pollutants has become a popular topic of environmental research today. For this purpose, the artificial neural network (AAN) technique is widely used as a reliable method for forecasting air pollutants in urban areas. On the other hand, the evolutionary polynomial regression (EPR) model has recently been used as a forecasting tool in some environmental issues. In ...

We report on the development and validation of a neural network (NN) model of PM10 concentrations in terms of photochemical measurements of NO, NO2 and O3 and temporal parameters that include the day of the week and the day of the year with its sinusoidal variation. A long-term record (≈10 yr) from 2001–2012 (inclusive) assembled from measurements taken at 10 station nodes in the air quality mo...

1. introduction in recent years, desert dust frequency has increased in the global system. due to lack of vegetation in the regions prone to dust, the earth’s surface air becomes warm enough in these regions, moves upward and causes a cold downward circular air flow when it collides with upper tropospheric winds. when these winds strongly hit the earth’s surface, they create dust storms (xuan e...

One of the main drivers for this project is the requirement to complement other high-quality surface data-sets with surface wind data for use in climate change detection and attribution studies. The high-quality data may also be used to analyse trends in storminess. Investigations highlighted the following three issues: Over the last two decades Automatic Weather Stations (AWS) have been instal...

Simplifications used in regional climate models decrease the accuracy of the regional climate models. To overcome this deficiency, usually a statistical technique of MOS is used to improve the skill of gridded outputs of the Numerical Weather Prediction (NWP) models. In this paper, an experimental synoptic-climatology based method has been used to calibrate, and decrease amount of errors in GFS...

Landscape-driven microclimates in mountainous terrain pose significant obstacles to predicting the response of organisms to atmospheric warming, but few if any studies have documented the extent of such finescale variation over large regions. This paper demonstrates that ground-level temperature regimes in Great Smoky Mountains National Park (Tennessee and North Carolina) vary considerably over...

Climate is one of the most important factors that influence the quality and quantity of crops. Understanding the natural features of any region, especially about the climate, can play a major role in making plans and land use planning. Sugar beet, is one of the major industrial plants, that in addition to producing one of the most fundamental basic needs of society, namely sugar, it can have ot...

Long-term trends in the abundance of unionids in the western basin of Lake Erie were examined from data collected at 17 stations in 1961, 1972, and 1982. The mean number of unionids at these stations declined over this time period, decreasing from 10 m~2 in 1961, to 6 m~2 in 1972, down to 4 m~2 in 1982. This decline in abundance was reflected in the decrease in the number of stations where muss...

there is a need to analyze and map rainfall erosivity to assess soil erosion at the regional scale. the objectives of this study were to develop a regional model to estimate seasonal erosivity from seasonal rainfall data and to study temporal and spatial distribution of rainfall erosivity for the gorganrood drainage basin in the northeast of iran. six gauging stations with a high temporal reso...