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On our year-end publishing break, we consider: what is the work and role of little magazines like our own?

Canada
Western-sahara
Congo
Manjil
Gilan
Iran
Abidjan
Lagunes
Coted-ivoire
Argentina
Rudbar
Esfahan

The Danger of Moving Sand Dunes in Iran

Deserts cover 907,293 km2 of Iran’s landscape. Sand dune fields are scattered across the arid and semiarid areas of Iran. Sand dune movement causes severe

Karkheh
Khuzestan
Iran
Chahbahar
Hamadan
Woman
Iraq
Sistan
Gilan
Dashte-kavir
Kerman
Registan

Morocco earthquake and MENA's other deadliest quakes

In light of Morocco's recent devastating earthquakes, The New Arab looks at other seismic natural disasters that have struck the Middle East and North Africa region.

Rudbar
Esfahan
Iran
Egypt
El-asnam
Chlef
Algeria
Cairo
Al-qahirah
Morocco
Agadir
Souss-massa-drâmo

Portrait Schahriar Mandanipur: Finding the Source of Misfortune in the Past

Schahriar Mandanipur has brought a new perspective to Iranian literature. His characters often find themselves confronted with extreme situations, thus being forced to grapple with existential issues. A portrait by Bahman Nirumand

Rudbar
Esfahan
Iran
Iraq
Gurab
Fars
New-york
United-states
Washington
Shiraz
Germany
Iranian

"Remote sensing technique and ICONA based-GIS mapping for assessing the" by Mohsen Alizadeh, Hasan Zabihi et al.

Soil erosion is a major environmental concern because of its devastating effects on agriculture and food production worldwide. In our research, we developed a sophisticated and effective model to predict soil erosion risk and developed a risk map to aid decision making to address earth surface degradation as a means to preserve soil. We describe the modeling process adopting the ICONA (Instituto Nacional para la Conservacion de la Naturaleza) model, in conjunction with an Analytic Hierarchy Process referred to as the AHP, together with the application of a geodatabase and remote sensing data for the Rudbar basin, Guilan Province, Iran. The basin is highly sensitive to soil erosion. With advances in remote sensing and GIS, challenges of conventional methods can be overcome such as the time-consuming and data-intensive identification of soil erosion-prone areas. The land slope, the lithofacies, land-use/cover, vegetation cover, and a digital elevation model (DEM) were our key layer input

Guilan
Gilan
Iran
Rudbar
Esfahan
Instituto-nacional
Conservacion-de-la-naturaleza
Analytic-hierarchy-process
Guilan-province
Normalized-difference-vegetation-index
Kahp

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