Search published articles

Showing 2 results for herischian

Hassan Mahmodzadeh, Sodabeh Panahi, Mahdi Herischian,
Volume 19, Issue 52 (3-2019)

From the late  twentieth century, human kind has found out that if he wants to obtain cost efficiently and continuous utilization of lands, it is better to execute this in a planned framework named management plan. Such idea is became  as an introduction to monitor the land or utilization of lands. Monitoring lands means contribution of an optimized space for land utilization with realization of common upcoming and related to each other in the past, now and in the future.Therefore, the objective  of  this research is to select the suitable lands  with monitoring lands of view in the city of Hamedan using a Multi-Objective Land Allocation method.The aim of Multi-Objective Land Allocation  method use is to contribute  selection of proper lands with monitoring approach based on ideal levels concept which have been executed by 3 different ecologic, socio-economic and strategic aspects existing in the territory.The examined use include agricultural use (water system or dry farming), pasturing use and urban use which based on the highest weight of independent variables, the area has been allocated to mentioned use with land monitoring approach.In what follows, the land suitability map is obtained through MCE operation for each type of land use and the obtained land suitability areas were calculated using these maps for which the results are as follows: irrigated agriculture with 601.176 hectares, dryland farming with 961.193 hectares, urban suitability with 762.984, and rangeland management suitability with 960.552 hectares which is an important criterion for determining the area for implementing MOLA.In the next step, it was time for implementing MOLA module for resolving the contradictions among the  uses.The results of MOLA showed that in average for the three studied aspects, the maximum area was associated with dryland farming with 364.4 hectares which is equivalent to 32% of the studied uses and the maximum weight of 0.4 was associated with irrigated agriculture.These resulted were obtained based on five factors (i.e. the current area of each land use, the favorable area for each land use based on MCE method, the occupational dependencies of different individuals to each land uses, prioritizing the ecological, economic, and social aspects of each land use).Finally, the results showed that selecting the suitable lands with spatial planning point of view using a Multi-Objective Land Allocation method is carried out properly through economic, social, and ecological aspects.

Hassan Mahmoudzadeh, Mahdi Herischian,
Volume 21, Issue 60 (3-2021)

The occurrence of unplanned accidents is a global issue, and lack of preparedness and resilience in this area can lead to significant losses. Therefore, restitution is an important way to strengthen urban communities by utilizing their capacity. In this regard, the main objective of this research is to investigate the difference in the level of resilience indices in the three districts of a metropolitan area of ​​Tabriz. This research is in terms of the type of the target and the method is descriptive of survey type. The required data were collected using library studies and field surveys at the household level. The statistical population of the households in region 1 of Tabriz Metropolitan is estimated to be 382 families according to the Cochran formula. After data collection, the analysis of the difference in resilience with ANOVA and Tukey's post hoc test were analyzed. The results of the research show that there is a difference between the regions in terms of the resiliency indicators. So that the least amount of resilience with an average of 173/46 was allocated to households in area one and the largest with average of 252/61, to the area of ​​three regions of a metropolis of Tabriz. On the other hand, the results of the two-to-two-region comparison show that the mean of zone A alleviation in comparison with the two and three regions was 34/931 and 79/157, respectively, and the resilience of the region of two in Comparison with area 3 is 44/226 times lower than that, but the resilience of area 3 compared to the other two regions is 79/157, 44/226 times more. In the following, suggestions for improving the resilience of the study area are presented.

Page 1 from 1     

© 2024 CC BY-NC 4.0 | Applied researches in Geographical Sciences

Designed & Developed by : Yektaweb