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The aim of the study is to investigate the spatial and seasonal variation of precipitation in Greece using multi-temporal data analysis techniques. Mean monthly precipitation grids of 1 km² resolution of the period 1950-2000 were used in the analysis. Cross correlation quantified spatio-temporal patterns which are summarized as follows a) the absolute correlations of precipitation versus elevation and longitude are minimized during the winter period, b) the latitude dependency of precipitation presents a seasonal shift where winter precipitation tends to be higher in northern Greece, while summer precipitation tends to be higher in southern Greece. Principal components analysis indicated that the first two components account for the 92.8% of variance in the spatio-temporal variability of precipitation in Greece. Cluster analysis segmented the terrain to 27 regions with distinct seasonal variability of precipitation. The majority of irrigated agricultural land (plains of Macedonia, Thessaly and Thrace) belong to clusters which present the lowest values of annual precipitation (<600 mm year^-1). The derivation of precipitation signatures for each region of Greece using the proposed terrain segmentation approach can support environmental decision and agricultural planning at a regional (country) scale in relation to water resources management. 

human health and the environment. The study aimed to explore the effects of exposure to pesticides on the liver functions and acetycholinesterase levels in serum (AChES) and red blood cells (AChER) of 100 male participating in agricultural work ranging in age between 20 and 60 year with mean age 37.11±9.3. One hundred males matched for age and socio economic status were recruited as a control group to compare levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), bilriubin, alkaline phosphatase (ALP), total protein, AChES and AChER. The results indicate that AST, ALT and ALP were significantly (P<0.05) increased in pesticide-exposed workers compared with control. There was also a highly significantly (P<0.01) decrease in AChER among male agriculture workers compared with controls. At 10 - 50 times of pesticides applications there was a significantly (P<0.05) decrease in AChER and increase in AST, ALT and ALP activity among exposed group. However, there was a negative correlation between AST, ALT, direct bilirubin, and AChES and age among control group and a positive correlation between ALT and AST and age among exposed group. According to the number of pesticide application, there was a positive correlation between AST, ALP, total and direct bilirubin and number of pesticide application. Agricultural villages in Egypt require more attention to decrease the percentage of literacy among the farmers and raise their health awareness. 

The structure of the wind turbines nowadays is a critical element due to their importance from the reliability, availability, safety, and cost points of view. This is more relevant when the offshore wind turbine is considered. This paper introduces a novel design of a Fault Detection and Diagnosis (FDD) model based on ultrasound technique. The FDD model will be able to detect fault/failures via the pulse-echo technique. The pulse-echo is got via piezoelectric transducers that are also employed as sensors. The signal processing is based on two steps. Firstly, a wavelet transform is applied to the measured signals with filtering purposes, in order to enhance the signal to noise ratio. Secondly, a time series modeling approach, as an autoregressive with exogenous input model, is employed for pattern recognition by minimizing the Akaike information criterion. An experimental platform is proposed to test the procedure, where pulse-echo experiments were employed before and after a fault occurred. The results from this paper lead to the identification of an early indication of structural problems induced by internal (material, shape, age, etc.) and external (temperature, humidity, pressure, etc.) factors. The model can anticipate catastrophic faults, reducing the preventive/corrective tasks and costs, etc, and increasing the availability of the wind turbine, and therefore the energy production.

The first set of results is the emissions in each step of the LC (Life Cycle) as well as the total emissions. The second set of results is the energy ratios. The GHG emission saving is 86.69 % with respect to the LC greenhouse emissions from Diesel EN-590 (with a default emissions value of 83.8 g CO_2e MJ_diesel-1) for Scenario 1 and 74.24 % for Scenario 2.