درخت حوزه‌های تخصصی

Purpose- The purpose of the present study was to investigate the causes and factors affecting the improvement of rural housing quality (case study: Oraman District, Sarvabad County). Design/methodology/approach- The present study is an applied research in terms of purpose and has a descriptive-analytical nature. Also, in terms of data collection method, it is a documentary-survey research. In the present study, the quality of rural housing was assessed to evaluate the effective factors in improving the quality of rural housing using the relevant indicators. The statistical population of the study was the Oraman District with 2468 households. The samples of the study were selected by simple random method, and the sample size of 345 households was obtained using the Cochran sampling formula. Finding- The results showed that the economic, physical, social and management factors (P <0.000) are effective in improving the quality of housing in Oraman villages. Also, according to the rating level of the indices, the physical dimension with the mean rating of (3.91) has the highest effect and the management dimension with the mean rating of (1.00) has the lowest effect. Research limitations/implications- Due to the low cooperation of local people and the cultural, ethnic and political sensitivities in the region, this study encountered numerous limitations and difficulties during the distribution of the questionnaire which challenged the research work. Originality / value- The earthquake happened in Western Iran destroyed many homes and killed many people, emphasizing the importance and quality of housing. Given that there has been no research on housing, especially its quality in this area, therefore, investigating the factors contributing to the improvement of housing quality in the future can reduce many of the human and financial losses.

Purpose - Land subsidence is caused by natural factors and human activities around the world. Fars Province, located in the south of Iran, is subject to land subsidence due to the uncontrolled exploitation of groundwater, causing damages to the population and human settlements and also environmental, social and economic areas. Design/methodology/approach - The present research is descriptive in terms of describing land subsidence in the case study region, whereas it is also analytical as time series analysis techniques based on Radar Interferometry (InSAR) is applied to monitor temporal changes in subsidence in Darab and Fasa Plains, including 470 rural points. Using 8 ENVISAT ASAR images spanning between 2005 and 2010, nine Interferograms were processed. In the study area. Geographic Information System (GIS) is then used to study groundwater level decline at the well locations in a 24-year period (from 1991 to 2015). Findings - The results of the research confirm that there is a significant correlation between groundwater water level decline and land surface subsidence. Time series analysis of the processed Interferograms indicate the mean displacement velocity map, demonstrating the maximum subsidence rate of 25 cm/yr. The InSAR analysis reveal within the study area subsidence rate of 25 cm/year in 24 years period and locally exceeding 30 cm/yr in the last decade. This area of significant subsidence is limited in its spatial extent to the agricultural land and is partly influenced by the large-scale over-exploitation of groundwater resources in the region study. The temporal and areal relationships of subsidence and groundwater level data suggest that a significant part of the observed subsidence in the Darab region is caused by intense groundwater extraction which has led to widespread compaction within the upper parts of the up to 300m. Socioeconomic analysis and the subsidence hazard map show that 105523 people are generally at risk of subsidence, of 65068 who are at high risk. In addition, there are 2679 socioeconomic infrastructures such as public service at risk of damage by land subsidence. Research limitations/implications - Limitation in In SAR data access, especially for long-term data was one of the main limitations in land subsidence research and also in this research. Practical implications - Integrated water resource management and the observed extraction of groundwater could influence the subsidence rate in the regions exposed to land subsidence. Originality/value - This research will be important to provide vulnerability in regions with groundwater overexploitation.