Broiler is one of the most common sources of poultry meat which has become one of the most popular and fastest poultry production in the world. The performance of broilers is directly affected by increasing or decreasing temperature and heat & cold Stress. In this study, it has been attempted to evaluate the cooling and heating degree-days (HDD and CDD) at different broiler breeding periods for Khorasan Razavi province. For this purpose, monthly mean temperature data for the statistical period (1988-1998) derived from 13 synoptic stations of the province were used. The cooling and heating degree-days were calculated for each of the breeding weeks based on specific thresholds and their spatial distribution was assessed. In the next step, the relationship between the cooling and heating degree-days and geographical parameters were evaluated. The results showed that with increasing latitude, the cooling degree-days decreased and the heating degree- days increased. The northern and western regions of the province have shown greater heating requirements in all broiler breeding periods, while the cooling requirements at different stages of broiler breeding have been higher for the eastern and southern regions of the province. In terms of total cooling and heating requirements, the northeast, southwest and western regions of the province; the cities of Khaf, Gonabad, Kashmar, Sarakhs and Sabzwar have the least heating-cooling requirements in the six-week broiler breeding period and are considered suitable climates for the development of this economic activity.

Understanding the main components of the watershed water basin and analyzing their hydrologic behavior are among the key components of any planning and management procedures in the field of water resources engineering. Today, the need to use modern technologies in hydrological modeling of watersheds has been discussed more than before. The purpose of this study is the simulation of hydrological components in various land use categories in the catchment area of the Dez river basin. Since the tool used in the research is the SWAT model and the SUFI-2 algorithm, the database used include a range of input data. In order to determine the level of sensitivity of the model to the input parameters, global sensitivity analysis was performed. Then, by adjusting the selected parameters and using the observation current, the model was calibrated and validated for the periods 2007 - 1994 and 2013 - 2008, respectively. The coefficients of NS, R2, P-factor and R-factor confirmed the model's ability to simulate river flow in the studied basin. The results of the model showed that the areas with forest use share the highest contribution to aquifer nutrition, and the barren lands have the highest surface runoff. Surface runoff has the leading role in creating the main stream of the river and after that the main flow has been effective in this area. The forest use change to Agricultural lands and pasture will change the hydrological parameters of the basin, and the result of these changes will lead to the increase in the surface runoff, the reduction of nutrition of groundwater resources and the reduction of river basin water. The SWAT model can be used as a precursor model in watershed management studies.

The aim of the present study is to dynamically model the spatial-temporal characteristics of dust in the south and southeast of Iran with REG-CM4 model using monthly dust data and RegCM4 data. For this purpose, the dust distribution of the IDW method along with the dust diagrams were plotted. The RegCM4 model was implemented with the paired Lambert image imaging system for 40 km horizontal separation with the paired chemistry model. The location of monthly and annual dust distribution shows the highest amounts of dust for the cities of Zabol, Bandar Abbas, Zahedan and Jask compared to Sirjan, Kahnooj and Lar stations. The highest frequency of dust in Sistan and Baluchestan (48%), Hormozgan (27%) and Fars provinces with 16% and the lowest frequency for Kerman province (9%). In general, the summer seasons (at Sistan station) and the winter (Kerman station) have the highest and minimum dust events, respectively. The time survey also has the highest amount of dust for the warm months of the year and the lowest for the cold months of the year. July at Zabol station and November and December at Sirjan station have the highest and lowest dust levels, respectively. The RegCM4 climate model also shows maximum dust on the southeast, south and south coasts for different variables.