GLOBAL WARMING IMPACT ON URMIA LAKE VULNERABILITY AND HAZARD

Author(s):  
Homayoun Khoshravan ◽  
Homayoun Khoshravan

The main goal of the research is to analyze the global warming impact on Urmia lake vulnerabiliy and hazard. By the study of topographic maps, satellite images and field research, the various types of coasts were identified: mud flats, salt marshes, sandy or cliffed coasts, and islands. Moreover the interpretation of seismic profiles, has led to recognize so important morphological features in the lake bed, such as: erosive channels, colos, mud volcanoes, the raised sandy masses and under water mounts. The main results illustrate the variable morphological behavior of Urmia Lake in different parts of the lake.

Author(s):  
Homayoun Khoshravan ◽  
Homayoun Khoshravan

The main goal of the research is to analyze the global warming impact on Urmia lake vulnerabiliy and hazard. By the study of topographic maps, satellite images and field research, the various types of coasts were identified: mud flats, salt marshes, sandy or cliffed coasts, and islands. Moreover the interpretation of seismic profiles, has led to recognize so important morphological features in the lake bed, such as: erosive channels, colos, mud volcanoes, the raised sandy masses and under water mounts. The main results illustrate the variable morphological behavior of Urmia Lake in different parts of the lake.


Author(s):  
Tiago NUNES ◽  
Miguel COUTINHO

After almost a century of several attempts to establish a coherent land registration system across the whole country, in 2017 the Portuguese government decided to try a new, digital native approach to the problem. Thus, a web-based platform was created, where property owners from 10 pilot municipalities could manually identify their lands’ properties using a map based on satellite images. After the first month of submissions, it became clear that at the current daily rate, it would take years to achieve the goal of 100% rural property identification across just the 10 municipalities. Field research during the first month after launch enabled us to understand landowners’ relationships with their land, map their struggles with the platform, and prototype ways to improve the whole service. Understanding that these improvements would still not be enough to get to the necessary daily rate, we designed, tested and validated an algorithm that allows us to identify a rural property shape and location without coordinates. Today, we are able to help both Government and landowners identify a rural property location with the click of a button.


2012 ◽  
Vol 25 (3) ◽  
pp. 456-481 ◽  
Author(s):  
KRISHNA P. PAUDEL ◽  
L. UPTON HATCH

Energies ◽  
2017 ◽  
Vol 10 (5) ◽  
pp. 641 ◽  
Author(s):  
George Obeng ◽  
Ebenezer Mensah ◽  
George Ashiagbor ◽  
Owusu Boahen ◽  
Daniel Sweeney

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