This study deals with the application of the Microsoft Excel for the estimation of the power requirements of some tillage implements. The mathematical formulas embedded in the spreadsheet file have been developed in the previously published papers; however, those formulas were augmented herein in order to contain some agricultural mechanization issues. Another feature of this article is the ability of the spreadsheet to generate trend curves automatically. The comparison of the power expenditure aspects of different tillage implements as well as the inspection of the effect of an arbitrary selected input parameter on the spreadsheet outputs were effectively performed. Numerically, the specific work of the rotary tiller was estimated two times to five times higher than the specific work of drawing implements. Furthermore, as an example of trend curves derived in this article, the increase in disc angle in the range of 25° to 70° reduced the draft and power needs of the disc plow by 66% and 54%, respectively. However, it increased the disc plow specific draft and power by 34% and21%, respectively.

Evaluating the effects of development as an important and efficient management tool is at the disposal of planners to identify the potential environmental effects of a development plan and suggest effective options to eliminate or reduce its negative effects. One of the ways to improve the assessment of environmental impacts according to the conditions of our country is to improve the matrix method. To do this, a mathematical matrix is used and by using large factors, scope and duration of the effect, cumulative and cumulative effects, qualitative variables and compensatory factors of the effect and disagreement, constructive interaction between developers and evaluators is provided. More comprehensive results are obtained. Due to the time constraints in evaluating the effects and the need to make the right decisions and to make the results of the mathematical matrix more understandable, a decision support system was considered. The decision support system is a system that uses human resources and computer capabilities to help solve complex problems improves the quality of the decision and has direct interaction with the user,which Increases efficiency and can help improve learning and the ability to use them by experts and beginners. Excel software programming environment, macro writing, pivot tables and cell functions were used to prepare the initial decision support system. This system was designed in such a way that the project activities and the affected parameters are placed in two adjacent columns instead of in rows and columns. And only the mathematical method is used to evaluate the effects. Activities related to eighteen development projects subject to environmental impact assessment were added to the system. The use of Excel and its programming environment greatly contributed to the flexibility of this system. Using the features and tools of Excel, the evaluation results can be seen in the form of graphs and tables, and based on them, the decision-making process regarding the development plan will be greatly facilitated.

Recently, desert and desertification issues are known as one of the most problem in most countries especially developing countries. With an attention to the natural resources of Iran we can concluded that the most of Iranian lands are classified as deserts. Desert scientists believe that in addition to natural factors, human factors has a significant and important role in desertification. As natural factors are the most of the desertification criteria, models of desertification potential assessment are provided locally. In this time, using of desertification models is the best method for assessment of effective factors on land degradation and desertification severity from experts viewing. Despite of models abundance, one model is the best that has adapted considering to environmental and human conditions. To assess desertification, various research done in outside and inside of Iran. Zehtabian et al (2008) was evaluated soil and water criteria base on Medalus methodology in Ain-e- Khosh’s Dehloran and presented desertification map at the end of research. Desertification intensity class is critical for the entire region based on desertification map. Shakerian et al., (2012)  Evaluated desertification intensity in Jarghooyeh region, based on IMDPA model.their results showed that, this area classified in low class of desertification. According to the new definition of Desert, more parts of Iran encounter desertification problem. In order to challenging with desertification, it is necessary to do some scientific research and assessment in different parts of the country. The results may help to control and reduce the damages resulted from this phenomenon. The aim of this research would be the effects of climate indicator on desertification with method Iranian Model (IMDPA) in central part of Iran.