One of the problems of controlling erosion and sedimentation in catchment areas is the lack of statistical data to accurately estimate the amount of sedimentation and erosion. In order to implement soil protection programs and determine methods to reduce sedimentation, it is necessary to estimate the total volume of annual sediment production. The purpose of this study is to estimate the erosion intensity and sedimentation of Babolroud catchment located in Mazandaran province using EPM and Fournier empirical methods and to determine the accuracy of these models. The results showed that Babolroud catchment is located on the moderate zone of sedimentation and the value of erosion rate is Z = 0.54. Also according to EPM method the sedimentation rate is . The highest amount of erosion is in the northern part of the catchment, which is due to the existence of Non-cultivable land use and erosive soil formations, including alluvial and marsh soils. In order to evaluate the accuracy of the results obtained from the empirical model, the observed information of the two sedimentation stations was used and the results indicate a relative average difference of 23.24% in the EPM model. Also, the results obtained from the Fournier method indicate the inefficiency of this method in estimating the Babolroud catchment due to the lack of consideration of the erosion potential of the area.

In this research, the sensitivity of the meteorological elements (such as mean temperature, relative humidity and wind speed) to different physical parameterizations in the numerical forecast model (WRF) was evaluated to simulate the climate of the city and adjust the Urban Heat Island of the study area.To study urban environmental issues, the Urban Canopy Model (UCM) was coupled to the WRF model. Several experiments were performed to achieve optimal configuration for simulation in the period from 18-21 August 2016 in the stable atmospheric conditions in summer. Selection of the most appropriate configuration with the least error is proposed as an appropriate setting for urban climate simulations and the study of Urban Heat Island (UHI). Increasing surface reflections to reduce UHI in the range was applied. Two indices of Root Mean Square Error (RMSE), and Mean Bias Error (MBE) were used to evaluate the predictive performance of the model and its corresponding observational values. The results showed that in the province of Tehran, in general, all configurations estimate the air temperature and wind speed less than real and relative humidity more than the actual value. In Alborz province, all configurations estimate the air temperature and wind speed more than real and relative humidity less than real value. By increasing the reflection of urban levels, the mean temperature of Tehran and Alborz provinces decreases 0.6 and 0.2 ° C, respectively. Wind speed, especially in urban areas, increases somewhat. We also see an increase in relative humidity (especially in urban areas) in the studied areas.

A city requires city brand and appropriate strategies for beneficiaries, especially tourists; hence, city development plans can affect the type of city brand orientations. Accordingly, this study was conducted to identify the effective factors to design structural equation modeling (SEM). SEM was employed to rank the factors and find the correlation between them using Forner-Larcker Matrix. This was an applied-correlational study in which, data were collected through convergent mixed methodology, library study, questionnaire, and Semi-structured interviews. Birjand was chosen as the research field and a statistical sample was chosen at descriptive statistics using purposive and snowball sampling methods. Accordingly, 19 subjects were selected from urban experts, and 381 tourists were chosen at the quantitative step using simple random sampling. findings obtained from interviews implied that some points should be considered for the city branding of Birjand. The factors include the significant militarily and academic impact of Birjand on historical aspect and service-based economy of the city, cultural capitals, and the arts that are forgetting, immigration, and implementing the development-driving plans. The research model indicated that city development plans had the highest positive effects on the landscape and mental image regarding city branding plans. Moreover, According to the correlation between components, the highest relationship was between mental image and landscape (0.66).

Geomorphology is related to the processes and forms of the earth's surface, and any human activity, including the construction of bridges, leads to quantitative and qualitative changes in the movement and displacement of materials and kinetic energy and affects the geomorphic system, is the concern and involvement of geomorphologists. Geomorphology, as a systematic science can also study and explain the environmental realities that have been objectified in the form of processes and forms in nature, and introduce their results and output spatially in the form of maps and models. The type of research is applied and the research method is descriptive-analytical and based on the results of the Ph.D. Thesis entitled "Geomorphological modeling of the construction of bridges in urban floodways (Case study: Tehran metropolis)". The results indicate the capability and application of geomorphology in modeling and optimal location and construction of bridges, in order to create more security and welfare of citizens, reduce costs and prevent financial and human losses due to the destruction and improper location of such structures in an urban floodway- river valleys and other natural environments. Also, this study, while enriching the literature of the field in question, has studied, explained, and conceptually modeled the role and application of geomorphology in the optimal location and construction of bridges in urban issues. 
Keywords: Geomorphology, Conceptual Model, urban floodway- river valleys, Bridge Construction.
 

In this study, the spatiotemporal variations of evapotranspiration (ET) were investigated in the southern part of the Aras River catchment. For this purpose, the ET networked data of FLDAS Noah model with horizontal resolution of 0.1 * 0.1 degree were used for a period of 38 years (2019-1982). After validating the data, the average annual ET values ​​for the region were determined first. Then the monthly and seasonal distribution of the parameter were analyzed spatially. Subsequently, ET variations and anomalies were evaluated year to year. Also, the spatial distribution of the occurrence frequency of ET was investigated by considering the absolute thresholds of 50, 80, 100 and 120 mm for the Aras basin. The results show that the annual ET in the east of the basin is higher than the west of the basin. In the seasonal scale, spring and summer have the highest ET values, respectively. In the monthly scale, Mayو June, April and March had the highest ET values, respectively. In contrast, the autumn and winter months have the lowest average ET values. Also, the whole basin during the study period has experienced three distinct periods of ET changes that in the eastern and western parts of the basin, despite the same behavior in the second and third periods, a significant difference was observed in the first period. The results also indicate the existence of positive anomalies after 2002 in the whole basin, the highest values ​​occurred in 2018 in the west of the basin. The study of the frequency of occurrence of absolute ET thresholds on the basin shows the high frequency of ET occurrence at all thresholds in the east of the basin. A study of nearly 4 decades of ET values ​​in the Aras River Basin shows an increase in ET values ​​over the last two decades over the entire basin, which can be attributed to the occurrence of global warming.

 Assessing and predicting future climate change is of particular importance due to its adverse effects on water resources and the natural environment, as well as its environmental, economic and social effects. Meanwhile, rainfall is also an important climatic element that causes a lot of damage in excess conditions. West Azerbaijan Province is no exception. The aim of this study is to model and predict 30 years of rainfall in West Azerbaijan province. The statistical period studied is 32 years (2019-1987). Selected stations in the province include Urmia, Piranshahr, Takab, Khoy, Sardasht, Mahabad and Mako stations. Average slider time series models, Sarima (seasonal Arima), Health Winters were used for analysis and prediction and also linear regression and Mann-Kendall test were used to determine the data trend. The results show an increasing trend of precipitation in Urmia, Piranshahr, Khoy, Sardasht and Mako stations and a decreasing trend in Takab and Mahabad stations. According to the results of comparing the models used, the Health Winters model with the least error in the absolute mean of deviations, mean squared deviations and the percentage of absolute mean errors was introduced as the best precipitation forecasting model for West Azerbaijan province. province.                                     [A1] 

---

One of the aspects of sustainable urban development and balanced physical development is in line with ecological and socio-economic environmental conditions. In the last decades of the twentieth century, despite many efforts in the field of sustainable spatial development of cities, this issue still remains an important challenge for geographers, urban planners, architects and urban planners. In many cities in developing countries, rapid urbanization and increasing urban population have exacerbated environmental hazards. This is doubly important in small cities. Because physical development, in addition to land use change, has met the basic needs of urban society, including the provision of safe and sufficient water, green space per capita, urban waste management and environmental pollution. The present study is applied in terms of purpose and analytical in terms of method. The statistical population consisted of university professors and experts in the field of research in Ardakan who were selected by purposive sampling. They were selected to conduct and implement the research. In order to achieve the research objectives, using a new analytical methodology of interpretive structural modeling (ISM), the relationships between the factors were determined and analyzed in an integrated manner. Finally, using MICMAC analysis, the factors were analyzed according to the impact and effectiveness on other components. The results of the interpretive structural model of the factors affecting the inner development of the city showed that the obtained model includes three levels and the results showed that the managerial and physical factors are the most basic factors affecting the inner development of the city that should be addressed in the first place. In other words, any action to pave the way for the internal development of the city, requires attention to these factors along with other factors

Ancient cities have always had a fundamental difference from today's cities, a difference that was well felt in their body and overall structure, in such a way that they can be well distinguished from today's cities. This difference, which is itself influenced by economic, political, cultural and social conditions, has had more or less changes in the structure of cities, can represent two types of city growth. Organic growth is a continuous and clear growth that made the form subservient to its function, and in contrast to that, the dark and discrete form of the global cities of the modern era. This project has tried to answer the question of whether it is possible to use the characteristics and the way of formation of ancient cities in today's world by studying the shape of the city throughout the past history until today. Or at least, is it possible to achieve a favorable result from the integration of some characteristics of these cities with today's cities? Based on this, in this project, the form of cities from the past to the present during three historical periods before Islam, after Islam and the modern era, and on the other hand, limiting the issue to the way of establishing government centers in the central desert of Iran using the comparative method- Induction has been discussed according to the assumptions of the research. The results showed that the first and second hypotheses have worked more effectively in more unsuccessful experiments, and on the other hand, the third hypothesis has worked more colorfully in more successful experiments, and on the other hand, since the degree of realization of the third hypothesis in the experiment Kerman's success rate is 0.100 and in unsuccessful experiences it is 0. Perhaps this hypothesis can be considered as a relatively superior and preferable hypothesis to check the success rate of related projects.

Using urban growth and development modeling, it is possible to draw a development trend appropriate to the city's position according to environmental and natural factors and population attraction. The purpose of this study is to represent a model of urban development in Shushtar that can be used as a felicitous tool to analyze the complex processes of urban development. To achieve this goal, two databases consist of urban land use maps for educational, medical, habitation, etc and Landsat satellite images for major land uses such as rivers, barren areas, forests, etc were used by GIS and MATLAB software environment in three time periods 1991, 2004 and 2014. Existing urban land use maps were updated by using Landsat satellite imagery after digitization. Then the effective parameters in urban development were entered as inputs with the adaptive neuro-fuzzy inference algorithm (ANFIS). in order to evaluate the performance of the proposed method, training for 1991 and 2004 was performed. the result of urban development forecasting using the algorithm was compared with the current situation in 2014. The results are very close to reality and with an accuracy of 93.7%. The land use change map, which is the result of the change detection process, can be prepared based on multi-time remote sensing images and combined with urban user maps, and the relevant consequences examined. The use of intelligent algorithms in this research has allowed us to execute modeling with high accuracy. The results are satisfactory and this development was predicted for the coming years.