Shadegan wetland, the largest Iranian wetland is among the important international wetlands of 537700 area located in the furthermost jarahi river route at ontset of the Persian Gulf in the south western Iran.It’s basin area is 24310 km3 located in Khuzestan plain lands. This study intends to compare procedure of variations in shadegan wetland conservative values using the world standard method daring 1360s, 1370sand 1380s, in this study it is a empted to deal with considering procedure of variation in shadegan wetland conservative values daring 1360s, 1370s and 1380s and presenting a comparision of their conservative values during this period with respect to sources and feasibilities present in the wetland range and using IUCN conservative valuation criteria. Criteria inserted in these methods include 14 major criteria and 22 minor criteria. That at the end shadegan wetland achieved the potentials and capabilities of assignment either as a conservated coastal-marine area or costal – marine wild shelter achieving 101 scores (out of 140 scores) in 1360s, 110 scores in 1370s and 111 scores in 1380s (out of 150 scores).

This paper looks studies the price change transmission mechanism from producer price index to consumer price index using Vector Autoregressive (VAR) model. We use the monthly data on the PPI, WPI, and CPI for the period 1990:4 to 2005:3. The Results from impulse response function suggest that a positive shock in PPI makes the WPI and CPI to rise immediately and it lasts for more than 12 months. Moreover, a positive shock in WPI makes CPI to rise but in less than 6 months it becomes statistically insignificant in less than 6 months. Moreover, the Variance decomposition of CPI suggests that PPI is the most influential factor in CPI changes, The variance decomposition of WPI also suggests that PPI is a significant factor in WPI changes.

Many Iranian economists believe that producer price index (PPI) inflation lead consumer price index (CPI) inflation. Based on this hypothesis, increasing (decreasing) in PPI inflation is a signal for future increasing (decreasing) in CPI inflation. Using CPI and PPI sub components, this paper tests the abovementioned hypothesis.359 sub components of consumer basket and 751 sub components of producer basket during 1383 to 1392 are information used in calculations. The results show that PPI inflation does not lead CPI inflation, but by eliminating the common sub components between CPI and PPI from PPI components and reconstructing PPI, we see that reconstructed PPI inflation can lead CPI inflation both in long and short run.

Accurate geotechnical classification is essential for designing excavations in urban environments, where soil behavior is  greatly affected by excavation-induced stresses. This study improves the geotechnical characterization of fine-grained alluvial deposits belonging to the youngest sedimentary unit (Unit D) in Rieben’s classification system. A comprehensive investigation was conducted through borehole drilling, Standard Penetration Tests (SPT), pressuremeter testing, and laboratory experiments including triaxial, uniaxial, and direct shear tests. Excavation stability was evaluated using the Morgenstern–Price method under both short-term and long-term conditions. Based on the geotechnical parameters and slope stability simulations, Unit D was subdivided into three distinct zones (D1, D2, and D3) with different excavation behaviors. Zone D1, characterized by lower sand content, allows deeper vertical cuts, whereas the presence of sandy lenses in Zone D3 restricts excavation depth and requires gentler slopes. The findings provide an updated geotechnical classification framework for fine-grained alluvia, offering practical guidelines for safe excavation design and contributing to the broader understanding of alluvial systems in urban geotechnical engineering.

One of the most important market in each economy in financial markets that is strongly affected by other economic variables such as oil price shocks. One of the most important problems in oil export in country is the volatility and Instability of oil price. For this reason in this Thesis we are intendent to evaluate effect of oil price shocks on the stock market in iran. Fot this reasen we have used One of the most famous time series model, that is SVAR to analysis this shoks. The result of this research shows that the relative importants of oil price shoks in comparation to other variable of the model is not so high.

The research investigated the relationship between the growth stock price and value stock price with the stock price crash risk in the listed companies in the Tehran Stock Exchange in this research. The methodology of this research is descriptive correlation whose design is experimental and uses a post-event approach. The multivariate linear regression based on panel data and a combination of cross-sectional and time series will be used to test the research hypotheses which we will investigate the effect of the independent variable on the dependent variable by statistical and econometric methods. Meanwhile, 98 listed companies in the Tehran Stock Exchange for ten years from the beginning of 2013 to the end of 2022 were selected through systematic sampling, the necessary data were extracted, and the developed hypotheses were tested. It was concluded after passing the mentioned steps that the effect of the behavior of growth stock price and value stock price on stock price crash risk is different, and these findings are aligned with the findings of Fulkinshitin et al. [6].