increased salinity stress because of rising temperature as a result of global warming. High salinity enhances plants photorespiration and affects its physiology, but Salicornia europaea L. in Urmia Lake has adapted to grow, propagate and occupy increasingly exposed saline habitats. Plant and soil samples were collected in triplicate plots from different sites of retreated beds of Urmia Lake in ...

the present research focuses on the changes of urmia lake level. for this purpose, two timescales have been considered. the trend changes of temperature, precipitation rate and quantitative values of climate type for the observational period from 1968 to 2011 (past scale) and from 2011 to 2100 (future scale) have been analyzed. general circulation model (gcm) is considered for simulating the va...

introduction average per-capita renewable water of iran is decreasing strongly. in near future water wars in the middle east are predictable. exploitation of land resource has the most significant impact on wetlands. wetlands degradation is the serious warning to unsustainable development. despite that the lake urmia is recorded in conservation lists as iranian national parks, ramsar sites and ...

Any variation in environmental characteristics of geomorphosites would lead to destabilisation of their geotouristic values all around the planet. The Urmia lake, with an area of approximately 5,500 km and a catchment area of 51,876 km, and to which various reasons over time, especially in the last fifty years have seen a sharp decline and have decreased by about 93 % in two recent decades. The...

there is a little room for doubt that lake urmia, which is the second largest permanent hyper saline lake in the world,is currently suffering from a lack of appropriate management strategy. accordingly, this study was done using the swotmatrix to analyze the key factors affecting declining water levels and increasing salinity. results of group decisionmakingby brainstorming among a group of exp...

One of the most important hydrological time series task is to determine if there is any trend in the data and how to achieve stationarity when there is nonstationarity behavior in data. Detecting trend and stationarity in hydrological time series may help us to understand the possible links between hydrological processes and global climate changes. In this study yearly, monthly and daily stream...

One of the most important hydrological time series task is to determine if there is any trend in the data and how to achieve stationarity when there is nonstationarity behavior in data. Detecting trend and stationarity in hydrological time series may help us to understand the possible links between hydrological processes and global climate changes. In this study yearly, monthly and daily stream...