نتایج جستجو برای: the urmia lake

تعداد نتایج: 16064833  

Journal: :natural environment change 0
khadijeh javan professor, climatology, urmia university, iran mohammad reza azizzadeh lecturer, department of geography, payame noor university, po box 3697-19395, tehran, iran saadi yousefi m.a in physical geography, payame noor university. urmia, iran

drought is one of the most important weather-induced phenomena which may have severe impacts on different areas such as agriculture, economy, energy production, and society. a number of drought indices have been introduced and used in various countries to date. in the current study, four meteorological drought indices including percent of normal precipitation index (pnpi), standard index of ann...

Journal: :محیط شناسی 0
سیده آل محمد کارشناسی ارشد برنامه ریزی، مدیریت و آموزش محیطزیست، دانشگاه تهران احمد رضا یاوری دانشیار گروه برنامه ریزی، دانشکدۀ محیطزیست، دانشگاه تهران اسماعیل صالحی دانشیار گروه برنامهریزی، دانشکدۀ محیطزیست، دانشگاه تهران لعبت زبردست استادیار گروه برنامه ریزی، دانشکدۀ محیطزیست، دانشگاه تهران

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 ...

Urmia Lake is the largest lake in the Iranian plateau and the second largest Salt Lake in the world. This study was conducted to identify hypersaline bacteria in the lake through the screening with molecular markers. For the molecular study of the bacterial microbiome of the lake, samples were collected from water, sludge and soil of the different parts of the lake during different seasons of 2...

Journal: :international journal of environmental research 0
b. feizizadeh 1department of physical geography centre for remote sensing and gis, university of tabriz, iran, department of geography & geology centre for geoinformatics , university of salzburg, 5020, austria t. blaschke department of geography & geology centre for geoinformatics , university of salzburg, 5020, austria h. nazmfar department of geography and urban planning, university of mohaghegh ardabili, ardabil, iran m.h. rezaei moghaddam department of physical geography centre for remote sensing and gis, university of tabriz, iran

although typically small in terms of their spatial footprint, landslide hazards are relativelyfrequent in northern iran. we assess landslide susceptibility for the nearly 20.000 km2 large study area of the urmia lake basin which is dominated by agricultural land use but includes the major settlements areas of the east azerbaijan province, iran. landslide factors are established in form of gis d...

Journal: :international journal of environmental research 2013
b. feizizadeh t. blaschke h. nazmfar m.h. rezaei moghaddam

although typically small in terms of their spatial footprint, landslide hazards are relativelyfrequent in northern iran. we assess landslide susceptibility for the nearly 20.000 km2 large study area of the urmia lake basin which is dominated by agricultural land use but includes the major settlements areas of the east azerbaijan province, iran. landslide factors are established in form of gis d...

ژورنال: علوم آب و خاک 2018

The irrigation and drainage network of Zarrinehroud with an area of 65,000 hectares is the most important network of Lake Urmia basin, with the direct link to the lake. With the current crisis in the lake, an assessment of the existing network's performance is essential in the Urmia Lake Rescue Program. The purpose of this study was, therefore, to evaluate the transmission, distribution, and ut...

Journal: :Traitement Du Signal 2022

Urmia Lake, which is the second largest permanent hypersaline lake in world, shrinking recent decades. Since accurate spatial information about essential to managing current and emerging crises of lake, this study used Lake satellite images time-series investigate drought trends by analyzing via Artificial Neural Networks (ANN). The proposed approach comprising following four steps. First, year...

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