in the management of river basins, prediction of river water quality is essential to maintain water quality within standard limits. this study performed a time-series analysis of the prediction of chlorine concentration and electrical conductivity time series data for the period of 1991-2005 from sefidrood river in northern iran. the seasonal prediction of chlorine and electrical conductivity t...

Examining climate-related satellite data that strongly relate to seasonal phenomena requires appropriate methods for detecting the seasonality to accommodate different temporal resolutions, high signal variability and consecutive missing values in the data series. Detection of satellite-based Land Surface Temperature (LST) seasonality is essential and challenging due to missing data and noise i...

In a prospective study, which lasted 1 year and was performed on a large cohort of 800 patients treated at an outpatient anticoagulant clinic, we investigated possible seasonal variations in the intensity of the effect of warfarin treatment. For every season--winter, spring, summer and autumn--the mean prothrombin time reported as an international normalised ratio (INR) and the percentages of I...

This study investigated the temporal patterns of annual and seasonal river runoff data at 13 hydrological stations in Lake Issyk-Kul basin, Central Asia. The trends were analyzed using innovative trend analysis (ITA) method with significance testing. ITA results compared Mann-Kendall (MK) test a 95% confidence level. comparison revealed that could effectively identify detected by MK test. Speci...

The hypothesis of a complementary relationship in regional evapotranspiration allows for estimation of actual evapotranspiration on a regional scale by simple, physically based models that take into account feedbacks in land surface-atmosphere dynamics. A regional, seasonal Advection-Aridity model is used to create a monthly time-series of actual evapotranspiration for a period of 27 years at a...

The analysis of the spatial–temporal variability and trends of aerosols over China based on∼11 years (February 2000 to December 2010) of Terra-Multiangle Imaging SpectroRadiometer (MISR) Level 3 aerosol products is the focus. The study shows that the MISR aerosol optical depth (AOD) is in good agreement with corresponding AOD from AERONET stations and suggests that MISR aerosol products have hi...

In the Climate Change literature, the range is predominantly used as a measure of variability, and the presence of trend is typically done on seasonal and/or annual basis. In this study, we used daily average temperature values at 15 spatially distributed sites across Canada to test the presence of trend in variability (using both range and standard deviation) using the bootstrap method by Wood...

Supply chains in industry have a very complex structure. The influence of many parameters is not known. Therefore the control of the material flow is rather difficult. In order to recognize these relationships between the parameters, initially very simple models have to be established. For this examination a linear supply chain with 4 stages will be designed. In all stages the stock is closed-l...

In this paper, we focus on application of fuzzy transform (F-transform) to analysis of time series under the assumption that the latter can be additively decomposed into trend-cycle, seasonal component and noise. We prove that when setting properly width of the basic functions, the inverse F-transform of the time series closely approximates its trend-cycle. This means that the F-transform almos...