introduction: studying long-term trend changes of meteorological parameters is one of the routine methods in atmospheric studies, especially in the climate change subject. among the meteorological parameters, temperature is always considered as one of the most atmospheric elements and studying it in order to gain a better understanding of the climate change phenomenon, has been effective. in ad...

Streamflow is an important factor in the study of water resource management, floods, and droughts. Dramatic climate change has created extreme rainfall distributions, making the study of streamflow trends and variability even more crucial. In this study, the long-term streamflow data and trends recorded at gauging stations in Northern Taiwan are analyzed using the Mann-Kendall test. The data us...

Seasonal variation in the rates of stillbirth, and of deaths under the age of one year, were studied for England and Wales in order to examine (a) changes in the seasonal variation over the years and (b) the correlation between seasonal rates and seasonal temperatures. The quarterly rates of stillbirths were studied for the period 1928-78; and of deaths under the age of one year, in six differe...

Drought is one of the natural phenomena which occurs in all climates in different parts of the world. Iran is located in the dry belt of the world. The increase of desertification, drought reoccurrence, and destruction by human in this geographical region needs more studies on spatial and temporal trend of rainfall. In this study, trends of climatic drought during 1975-76/ 2004-05 in seasonal a...

Temperature is one of the most important climate variables that many economic and social plans related to its changes. Because of The importance of this issue, this study investigated the changes of it in the province Khuzestan. Meteorological data that used in this study is mean temperature in annual and seasonal timescale. The study area is Abadan, Ahwaz, Dezful and Omidiye stations. For anal...

In this study, we propose an adaptive multiscale ensemble (AME) learning approach, which consists of variational mode decomposition (VMD) and least square support vector regression (LSSVR) for seasonal trend forecasting tourist arrivals. the formulation AME original arrival series is decomposed into trend, seasonal, remaining volatility components. Then, ARIMA used to forecast component, SARIMA...

Although many articles have been written concerning the improved accuracy of combined forecasts, sometimes the obvious is overlooked. By combining seasonal indices and cyclical factors with other explanatory variables, forecasting models acquire increased accuracy for out-of-sample predictions.. This paper encourages the use of least squares forecasting models with time series components. It al...

Among the numerous air pollutants, the strongest proof for adverse health effects has been reported for particulate matter (PM). The aim of this study was the exploration of short-term associations of air pollution with mortalities due to cardiovascular diseases (CVD) in Tehran, Iran, based on hospital and census data from 2007 to 2013. This descriptive and analytical research was conducted in ...

Temperature is one of the most important climate variables that many economic and social plans related to its changes. Because of The importance of this issue, this study investigated the changes of it in the province Khuzestan. Meteorological data that used in this study is mean temperature in annual and seasonal timescale. The study area is Abadan, Ahwaz, Dezful and Omidiye stations. For anal...