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Showing 2 results for Abbaspour

Mrs Azam Abbaspour, Dr Iraj Ietessam, Dr Hamid Majedi, Dr Azade Shahcheragi,
Volume 0, Issue 0 (3-1921)
Abstract

In todaychr('39')s world, housing and shelter have overshadowed many aspects of human life. Providing adequate housing, especially for low-income urban groups, is one of the most important issues and challenges facing all countries. The desirability of the environment of residential complexes built for low-income groups has always been a challenging issue. In the programs and plans prepared for these groups, due to the huge flood of applicants and also the limited resources and credits, quantitative goals have often been pursued and qualitative goals have been abandoned. A study of the housing pattern of this group in cities shows that attention and application of effective indicators of housing sustainability is one of the categories that should be considered in the process of housing planning. This article, with the aim of analyzing the factors affecting the housing survival of low-income groups, has reviewed the theoretical literature and tested research hypotheses. The statistical population of the study is the residents of Mehr dwelling in Sirjan. After distributing the questionnaire, data analysis was used at two levels of descriptive and inferential statistics. The validity of the structure was confirmed by factor analysis. The reliability of the instrument was also calculated using Cronbachchr('39')s alpha coefficient test of o.7. Data analysis was performed from Sstructural Equation Modeling using Smart PLS software. Findings indicate the relationship between quantitative and qualitative indicators of housing on durability. Quality index with cultural and social criteria and components such as security, privacy, sense of place, user participation has the greatest impact on Durability of low-income housing in Sirjan.

Mrs Somayeh Naderi, Prof. Bohloul Alijani, Prof. Zahra Hedjazizadeh, Dr. Hasan Heidari, Dr. Karim Abbaspour,
Volume 24, Issue 73 (6-2024)
Abstract


Evidence suggests that climate change will create uncertain regional agricultural production stability in the coming decades. This research investigated the impact of climate change on hydrology and sugar beet yield as one of the main crops in the Urmia lake basin using the Soil and Water Assessment Tool (SWAT). To address this, a baseline SWAT model was setup for 1986-2014. Afterward, the output was calibrated (1989-2004) and validated (2005-2014) in the SWAT-CUP software using the SUFI2 algorithm to simulate streamflow of 23 gauging stations and crop yield. The Nash-Sutcliffe efficiency was 0.43 and 0.53 for calibration and validation periods, sequentially. The Percent Bias was 45% and 16% for calibration and validation periods, respectively. As well as the agreement indices of 0.71 and the little Percent Bias (-6% to 10%) for crop production, verified the model's efficiency. The next step was downscaling and bias-correction of the precipitation and temperature data received from 3 climate models, namely GFDL, HadGEM2, and IPSL under RCP4.5 and RCP8.5 using CCT program. Then, the downscaled data were fed to SWAT, and Finally, hydrological fluxes and sugar beet yield were estimated for 2021-2050. Despite a dispersion of precipitation changes ranging from -12% to +35% in most scenarios, results highlight the pivotal role that the warmer temperature (+2.7°C) increases evaporation, resulting in sharpened pressure on water resources and runoff, especially, at the beginning of crop growth season. Finally, the negative impacts on crop productivity (-45%) is not unexpected. This means that sugar beet may suffer from climate change impacts, and the production of this plant will change over the next period in this region.

Keywords: Climate Change, Sugar Beet, Urmia Lake Basin, Sensitivity Analysis, SWAT.

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