Considering the undeniable impact of agricultural plants on climatic and regional changes, it seems necessary to conduct regional research to understand the reaction of each agricultural plant in different stages of growth in relation to weather elements. If the temperature of the air along with the warm cloud is lower or higher than a certain threshold, its development will stop. Between the two limits, there is an optimal temperature where the plant grows the fastest. Temperature and clouds are both the most important climatic elements in agriculture. Both climatic parameters together cause stress in wheat and lower the productivity of the product. Considering the strategic nature of wheat, in order to increase the level of production, in the present research, while taking advantage of the experiences and methods and models used in foreign and domestic researches, it was practical in Kermanshah province due to the extent of the land under wheat cultivation and The significant amount of production, which has a special place in this field at the level of the country, the determination of the statistical threshold and the synoptic analysis of warem cloud temperatures on the performance of the wheat crop are investigated. According to the investigations and consultations with agricultural engineers, the maximum temperature along with cloudy days causes the phenomenon of greenhouse and excessive heat, which causes the fall of flowers, rot, sterility of pollen grains, fruit reduction, Premature aging and poverty become seeds, and this phenomenon occurs mostly in the months of May and June.

Since the most important climatic parameter affecting sugar beet cultivation is the temperature, we carried out this research considering climatic elements such as temperature, precipitation and freezing days in relation to autumn sugar beet planting. Daily temperatures of selected stations in a period of 10 years (2005-2015) has been used for agroclimatic analysis. In order to evaluate that, thermal potential assessment, deviation from optimal conditions and active day gradient index (GDD) were used. The evaluation of thermal potential based on the threshold of 0, 4, and 10 degrees Centigrade at the station levels in Kermanshah province showed that Sar-e-Pol-e-Zahab Station has the highest cumulative thermal unit and Kangavar Station has the least one. In Isfahan province, Khour-va-Biabanak station has the highest cumulative thermal unit and Khansar station has the lowest unit. Based on the deviation from optimal conditions in Kermanshah province, Sar-e-Pol-e-Zahab station has the lowest (-27.79) and in Khour-va-Biabanak station (-21.78) had the least deviation from optimal conditions. Planting date at the stations was considered based on the autumn temperature. In Kermanshah province, Sar-e-Pol-e Zahab station had the earliest date of harvest (May 1st.), while this date in Isfahan province was for Khour-va-Biabanak station (May 9th.). Suitable areas for planting in Kermanshah province are found to be the eastern and northeastern regions of Sar-e-Pol-e Zahab and Qasr-Shirin. In the province of Isfahan, the northern and western parts of Khour-va-Biabanak and Kashan were the most proper regions and central areas are in the next steps.
 

In this study, the dust situation in 6 synoptic stations of Kermanshah province was investigated in the period 1987-1992. To study this phenomenon, dust days were extracted in 2009 with code (06) from the current air index. Then data from different bar levels were taken from the National Oceanic and Atmospheric Organization (NCEP / NCAR) database and maps were plotted in the Grads software. Finally, through the processing of MODIS satellite imagery, with the application of the brightness temperature index, round detection and the dust was made and its territory expanded. The results of the study showed that at low ground level, when the European high-pressure system retreated to the north and west, Sudan's low pressure existed in the eastern Mediterranean, and the system moved southwest to the northeast, and when they entered, the disturbance zone is caused due to the lack of moisture in the dust, the main sources of dust in the province of Kermanshah include the deserts of northern Arabia, southern Iraq, and somewhat north of the sub-Saharan Africa.

Analysis probative spatial data method for checking patterns spatial accidental and accidental is distribution variables spatial and correlation spatial from more usage and more important tools Analysis for is the research in the case spatial data. The aim in research, is evaluation operation methods find inside in distribution spatial land use city Kerman. That on base of methods find inside kriging ordinary with models circularly, gauss, spherical and exponential for find inside data use and with criteria error inclusive Root Mean Square) RMS( and Standard Root Mean Square) SRMS(,Mean Standard)MS(,Mean and average Mean error)ASE  (pay to evaluation veracity and exactitude. Methodology research present, descriptive – resolution with resolution spatial use software GIS. Results resolution explanatory existence pattern cluster in the land use study, administrative and commercial and pattern diffused for land use medical in the city Kerman. In between four pattern use study follow of better order. Too results research rectitude, specified pattern kriging ordinary with model gauss beater shape pattern distribution spatial use in the city Kerman

Population growth and urbanization development are the main triggering factors of changes in urban land uses. These, in turn, result in changes in the components of radiation balance. The present study tries to analyze the role of urban land uses in radiation balance by calculating net radiation and its analysis. For this purpose, the Landsat 8 satellite image of 2016 was used. Characteristics of radiation flux including net radiation flux (R_N), ground surface albedo (α), incoming longwave radiation (R_L↓), incoming shortwave radiation (R_S↓), outgoing longwave radiation (R_L↑), and ground surface temperature were computed using Sebal algorithm.The values ​​of these components in different land uses (compressed residential, scattered residential, green area and wastelands) were analyzed using one-way analysis of variance (ANOVA) and Tukey’s test. The results of this study showed that the selected land uses have significant differences in the amount of radiation flux, therefore the wastelands are warmer than the residential areas by about 6 ^oC and the residential areas are warmer than the green areas by about 1.5 ^oC. The results also indicated that these differences are due to changes in output energy (α and R_L↑), and any change in land use over time will ultimately lead to a change in the radiation balance and the temperature of those places, which this temperature increase, is different from the increase of the temperature due to global warming.

The limitations and boundaries of agricultural production is dependent on climatic conditions. Weather is one of the most important factors in human activities, especially agriculture. Corn cultivation in the country's food supply is essential.  Kermanshah province, with the potential favorable climate, optimum conditions for corn are cultivated. The aim of this study was to investigate the role of precipitation and temperature in determining the agricultural calendar and to determine suitable areas for planting corn. To do this, climate data from 10 synoptic stations during the period of 20 years (1390-1371) were used. Use, Hoteling test and test observational data were analyzed. According to research, the station is under study, corn crop water demand in the months of June, July, August and September not secure and High temperature areas due to reduced need frequent in the months of May and June and in the lowlands due to a sharp increase in flowering time, seed maintenance and handling problems during the growing season makes this crop. Based on the results of Hotelling test 62 percent of the land area suitable Kermanshah province, 24 percent and 14 percent for maize is unsuitable. And also based on the results of t-test found 47 percent good, 38 percent moderate and 15 percent are unsuitable for corn. As a result, the central area of moderate temperatures for planting, eastern and northern areas of the southern and western areas of the province due to tropical cold and not suitable for maize cultivation.

Strategic management, program coordinator, which is comprehensive and continuous link with the environment and your organization's top talent, the goal of the organization is managed in a proper implementation.  Tuday One of the most important challenges facing large cities is transportation within the city. Lack of strategic planning for urban transport systems also joint ventures that replicate community infrastructure, causing disharmony and conflict with each other and the system, and may have problems connecting subsystems to encapsulation create. The aim of study was to evaluate the performance of systems based on the objectives of the trip and provide transportation Kerman trips and absorption of production / traffic area in planning. Research, analytical - descriptive using traffic assignment models, production, distribution and absorption and to help GIS software and topsis. The results show: Areas 6, 7, 8, 16, 17, 18, 19, 20 and 42 within the central Kerman, attracting more travel than their neighboring areas.

The real world has been created of extremely complex mosaics. The regional analysis entails the study of the mechanism of the processes involved in systems that are capable to explain the emergence, growth and decline of a region, but like any other geographic research, doing comparison in such a study is inevitable. The cities of the world are now the homes of more than half of the world’s population. Perhaps the most important global challenge of our age is to make sure that whether the planet remains habitable and provides sufficient resources for future generations. In this study, a descriptive-analytic method has been used to analyze the effects of information and communication technology in urban sustainable development in west urban areas of Kermanshah province. The statistical population of the study consisted of 184642 people that 386 individuals were randomly selected as the sample. The required data were collected by documentary-library method and field study and analyzed and processed using SPSS software and variance analysis model. The results showed that the cities of Qasr-eShirin, Gilan-e Gharb, KerendGharb, Sarpol-e Zahab and Islam AbadGharb obtained the first to fifth ranks respectively in terms of the affectability from information and communication technology in sustainable urban development.

In this project government endow loam to villagers for improving their houses. This project help to villagers for improvement their life and it help to villagers for preparation for sudden hazards. Improvement rural houses project improve quality of life villagers. Therefore, this project presents for resolving problems and challenges that improvement rural houses project confront with them. Investigative method was descriptive-survey and we used from questionnaire for collecting data. Statistical society includes 50 people that we used from census method for sampling method. Statistical method was technical supervisors in Kermanshah County.  Reliability calculated by alpha Cronbach method that equal 0.72 and validity calculated by K.M.O and Bartlet method that equal (K.M. O=74/0) and Bartlet significant equal (0.0).  But technical supervisors have positive attitude about housing foundation of Islamic revolution performance. They were satisfaction from workshops and upstream supervisors in housing foundation of Islamic revolution of province of Kermanshah. Results shows that there is relationship between distance village from city and quality of building materials quality. Also, there is relationship between knowledge of people about project and time periods. It shows that knowledge people increase. Finally, by factor analysis we understand that there are 5 components that effect on improvement rural houses projects that include: dimension of individual people and technical supervisors, attitude of people to improvement rural houses projects, life quality and improvement in life style, challenge in law and discipline and time of project. They explain 65.85% of total of variance. Also, the findings show that there is a meaningful and reverse relationship between the beginning of the technical observer's period and the amount of his attention to the consciousness of the people at the level of 0/05. Meanwhile, people's awareness has increased over time.

Interactions and sometimes contradictions in economic and cultural priorities which happen due to social transformations, changes in paradigms and changes in economic – political systems led to changes in urban regeneration concept. The role of culture in urban regeneration had significant changes comparing to other factors; and the cultural focuses became the main approach in urban regeneration in recent decades. The quality of built environment and level of residents’ satisfaction plays an important role in regeneration policies of target areas as well. This study investigates the impact of environment quality variables (environmental, physical, economic and social) on level of residents’ satisfaction in cultural neighborhoods of Kerman, with the goal of improving the regeneration process.The method of this research is applied-developmental in terms of the aim, and descriptive and causal comparative in terms of the nature. This study uses questionnaire as a tool for collecting data. The study sample size is 513 and the data were analyzed by SPSS and AMOS softwares. The results demonstrate a significant direct relationship between economic and physical variables as well as social variables and consequently the same relationship between economic and the sense of satisfaction. The results also indicate a significant inverse relationship between environmental variables, which are effective on sense of satisfaction, and economic variables. The results of structural equation modeling (SEM) show that improvement in the condition of economic, physical and environmental variables, will improve condition of social variables and the sense of satisfaction in the studied neighborhoods. Furthermore, analysis showed that economic variables have more effect on social variables and eventually on the sense of satisfaction as compared to physical and environmental variables. Therefore, the negative effects of each four aforementioned factors could be decreased in the studied neighborhood through planning and application of culture-led regeneration policies. Accordingly the increase in the sense of satisfaction would improve the revitalization and sustainability in these neighborhoods.

Assessment of the land's capacity for urban development in the sense of objectifying the potential of the land is among the expected and executable applications. On the other hand, increasing urban population, followed by the growth of cities, due to the expansion of urban development makes moving toward the principles of sustainable development an indispensable act. Kerman as one of Iran's major cities encountering with limited natural and human development, is not an exception. Thus, it is essential to take into account its development structure. This study aims to identify the fertile lands for future development of the city of Kerman. This study is functional in nature and purpose and descriptive-analytic in methodology. In order to achieve the purpose of the study, the method of fuzzy Analytic Hierarchy Process (AHP) and Boolean was employed, and finally by combination of maps, appropriate lands for future development of Kerman were identified. The results of this study showed that the lands located in South, Southwest, and North and northwest of the city of Kerman are in a better position for future development compared to other parts of the city.