TL;DR: In this article, a 12 m2 test chamber was heated by solar and ground source heat pump under the physical conditions of Elazig, where slinky pipes were put horizontally in the hole and water-antifreeze mixture was circulated with the circulating pump in the slinky heat exchanger.
Abstract: In the following study, 12 m2 test chamber was heated by solar and ground source heat pump under the physical conditions of Elazig. In order to place slinky heat exchanger pipes, a hole was dug with 1 meter width, 2 meters depth and 15 meters length. Slinky pipes were put horizontally in the hole and water-antifreeze mixture was circulated with the circulating pump in the slinky heat exchanger. The heat taken from the ground was transferred into the environment to be heated through the heat pump. Also the system was operated as solar assisted with the 6 flat-plate solar collectors being placed. Thus, the performance of the operating system could be investigated.
TL;DR: In this article, a data set was obtained from 21 controlled grassland fire, and then four different regression models were tested with this data and forest fire behavior was tried to model.
Abstract: A forest fire starts on the surface of forest and is quite difficult to extinguish when it spreads the hill. Therefore, it is very important to extinguish a forest fire and estimate its behavior before it jumps to hill of trees. In this study, 151 data set was obtained from 21 controlled grassland fire, and then four different regression models were tested with this data and forest fire behavior was tried to model. Hence, weed, litter and humus layer samples were taken from forest floor, and then they were dried in the oven. Additionally, mobile weather station was established in the region, and every stage of fire was measured and recorded on camera. Later in the MATLAB environment, four different regression models were developed with fire data. In all of the models developed, it was used the burned area as the dependent variable and weed, litter, humus, temperature, dew point, relative humidity, wind speed and time as independent variable. One of these regression models that contains coefficients of independent variables multiplied together and its square was R2 with the value of 0.854 (p