Functional Data Analysis (FDA) has recently made considerable progress because of easier access to the data that are essentially in the form of curves. Although functional modeling of Iranian precipitation based on temperature or humidity was done before, here we use functional analysis of variance and covariance to analyze the weather data collected randomly from Iranian weather stations in 20...

In the tropics, habitat fragmentation alters forest-climate interactions in diverse ways. On a local scale (less than 1 km), elevated desiccation and wind disturbance near fragment margins lead to sharply increased tree mortality, thus altering canopy-gap dynamics, plant community composition, biomass dynamics and carbon storage. Fragmented forests are also highly vulnerable to edge-related fir...

Hydrologic regime is highly dependent on climate change, as hydrologic cycle components are directly influenced by climatic conditions. This paper analyzes the impacts of climate change on the hydrologic regime of the Atrak River basin in the northeast of Iran. It drains to the Caspian Sea. The data collected at 11 hydrometeorological stations were examined to detect trends in hydroclimatologic...

hurricane-force ocean-surface wind speed in the presence of precipitation encountered in the inner core of hurricanes.

an important and fundamental issue in iran is to utilize water and to avoid wasting it. therefore, climate change can be considered as an effective factor on water resources. the most tangible climate change phenomenon is drought which is much important to be identified. in this study, the effect of climate changes on flow rate in bashar river, shahmokhtar station of yasouj city was evaluated u...

With the wind permanent flow in the cities, obtaining the minimal pollution in the environment is accessible. Different policies have been considered for optimization of cities such as attachment and or reduction of building parts like air-traps, ceiling forms and so on. Due to population growth in cities and the increasing need for resettlement these people in the cities, inevitably, to the hi...

In recent decades artificial neural networks (ANNs) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. This paper presents the application of artificial neural networks to predict drought in Yazd meteorological station. In this research, different archite...