This study focuses on the estimation of thermal comfort conditions in a high alt. site (1455 m) in Apodotia (MA), Greece, by using the MLP neural network model. This estimation is based on the air temperature (t) and relative humidity (f) data of the middle (1078-1163 m) and of the low altitude...

Determining peak flows for ungaged areas is difficult and involves high uncertainty. Advanced computer capabilities provided by geographical information systems and hydrologic modeling software are used for detailed determination of the parameters involved, both for simple methods as the rational...

Floods are natural disasters that pose a direct threat to human life and often cause significant economic loss. River floods are caused by heavy and/or prolonged rainfall, causing rivers and streams to overflow and sometimes also burst dams or levees. Forest fires increase the risk factor to which...

One of the issues that have recently attracted increased attention from the hydrologic community is the impact of forest fires on the hydrological response of the once vegetated areas. This study presents the investigation of wildfires impact on the hydrological response of the small scale...

Olive oil mill solid residue (OMSR) is the solid waste generated during olive oil production process in three-phase olive mills. It consists of the remaining pulp of olive processing after the extraction of oil, as well as the cracked seeds of the olive fruits, containing thus mainly lignocellulose...

Artificial neural networks (ANNs) are being used increasingly to predict water variables. This study offers an alternative approach to quantify the relationship between time of chlorination in potable water (due to convectional treatment procedure) and chlorination by-products concentration...