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Now showing items 1 - 6 of 6

  • Comparison of three hybrid models to simulate land use changes:a case study in Qeshm Island,Iran

    Kourosh Niya, Ali   Huang, Jinliang   Kazemzadeh-Zow, Ali   Karimi, Hazhir   Keshtkar, Hamidreza   Naimi, Babak  

    Land use change simulation is an important issue for its role in predicting future trends and providing implications for sustainable land management. Hybrid models have become a recognized strategy to inform decision-makers, but further attempts are needed to warrant the reliability of their projected results. In view of this, three hybrid models, including the cellular automata-Markov chain-artificial neural network, cellular automata-Markov chain-logistic regression, and Markov chain-artificial neural network, were applied to simulate land use change on the largest island in Iran, Qeshm Island. The Figure of Merit (FOM) was used to measure the modeling accuracy of the simulations, with the FOMs for the three models 6.7, 5.1, and 4.5, respectively. Consequently, the cellular automata-Markov chain-artificial neural network most precisely simulates land use change on Qeshm Island and is, thus, used to simulate land use change until 2026. The simulation shows that the incremental trend of the built-up class will continue in the coming years. Meanwhile, the areas of valuable ecosystems, such as mangroves, tend to decrease. Despite the protection plans for mangroves, these areas require more attention and conservation planning. This study demonstrates a referential example to select the proper land use models for informing planning and management in similar coastal zones.
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  • Evaluating optimal sites for combined-cycle power plants using GIS:comparison of two aggregation methods in Iran

    Karimi, Hazhir   Soffianian, Alireza   Seifi, Sadri   Pourmanafi, Saeid   Ramin, Hadi  

    This study aims to use an integration of GIS and multi-criteria evaluation for combined-cycle power plant site selection and compares two aggregation methods for Iran. The information layers of the criteria are prepared in the GIS environment and then the layers standardised using fuzzy functions in IDRISI. All layers are combined using two conventional methods of fuzzy logic and weighted linear combination; from this information, the suitability maps were created. Results show that only 2.0% of the region under study is scored high-suitable using the fuzzy logic, while 21% of the area is considered as highly suitable when the weighted linear combination is used. Despite this significant difference, both approaches recommend the ideal place in the north and northwest of the study area. In conclusion, integrating GIS and multi-criteria evaluation is a comprehensive approach that improves and strengthens the suitability of site selection studies.
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  • Use of Intensity Analysis to Characterize Land Use/Cover Change in the Biggest Island of Persian Gulf,Qeshm Island,Iran

    Niya, Ali Kourosh   Huang, Jinliang   Karimi, Hazhir   Keshtkar, Hamidreza   Naimi, Babak  

    In this study, land use/cover change was systematically investigated in the Qeshm Island to understand how human and nature interact in the largest island of Persian Gulf. Land-use maps were prepared for 1996, 2002, 2008, and 2014 using Landsat satellite imagery in six classes including agriculture, bare-land, built-up, dense-vegetation, mangrove, and water-body, and then dynamic of changes in the classes was evaluated using intensity analysis at three levels: interval, category, and transition. Results illustrated that, while the land changes were fast over the first and third time intervals (1996-2002 and 2008-2014), the trend of changes was slow in the second period (2002-2008). Driven by high demand for construction and population growth, the built-up class was identified as an active gainer in all the three time intervals. The class of bare-land was the main supplier of the land for other classes especially for built-up area, while built-up did not act as the active supplier of the land for other classes. The dense-vegetation class was active in all three time intervals. As for the mangrove class, drought and cutting by residents had negative effects, while setting up protected areas can effectively maintain this valuable ecosystem. High demands were observed for land change in relation to built-up and agriculture classes among other classes. The findings of this study can advance our understanding of the relationship and behavior of land use/cover classes among each other over 18 years in a coastal island with arid climate.
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  • Determining Air Pollution Potential Using Geographic Information Systems and Multi-criteria Evaluation:A Case Study in Isfahan Province in Iran

    Karimi, Hazhir   Soffianian, Alireza   Mirghaffari, Nourollah   Soltani, Saeid  

    This paper presents a methodology of determining the air pollution potential based on pollutant source identification and meteorological parameters, using as a case study the Isfahan Province in Iran. First, taking the county as the evaluation unit, the regional air pollution information system database of Isfahan Province was established, supported by Geographic Information Systems. Then, the air pollution potential of the study area was assessed based on the analysis of regional air pollution, review of available literature, seeking advice from experts, and using determining factors such as population density, traffic, industries, wind speed, precipitation, temperature and humidity. A layer for each factor was prepared in GIS. After data acquisition, criteria were set and weighted by experts. Finally, all criteria were integrated using the Weighted Linear Combination method to obtain the spatial distribution of air pollution potential. The results showed that 55% of the total land area in Isfahan Province maintains a high to moderate level of air pollution potential resulting from unsuitable meteorological conditions along with high density of emissions from human activities. However, winds counteract the serious air pollution in some parts. The results suggest that very strict air quality management is needed in days of low wind speed, especially at places of increased air pollution resulting from human activities.
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  • Determining Air Pollution Potential Using Geographic Information Systems and Multi-criteria Evaluation: A Case Study in Isfahan Province in Iran

    Karimi, Hazhir   Soffianian, Alireza   Mirghaffari, Nourollah   Soltani, Saeid  

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  • Site selection and environmental risks assessment of medical solid waste landfill for the City of Kermanshah-Iran

    Karimi, Hazhir   Herki, Bengin M. A.   Gardi, Sirwa Qader   Galali, Saman   Hossini, Hooshyar   Mirzaei, Karamreza   Pirsaheb, Meghdad  

    In this study, an integration of multi-criteria evaluation, geographic information system, and remote sensing techniques were used for site selection of medical waste landfills in Kermanshah, Iran. Also, an environmental risk assessment for the selected site has been conducted in order to minimize the possible hazardous. The GIS and remote sensing were used for acquiring and preparing layers and maps and the multi-criteria evaluation was used for setting aim, criteria selection, criteria weighting, and final decision making. The results showed that only 1.2% of the study area is scored high-suitable, while 90% of the area is considered unsuitable that makes this region critical for preservation. After further assessment and field visits, a suitable site was selected for landfilling. Environmental risk assessment showed that the selected site poses a low-level of risks to the environment and surrounding areas and this is because various environmental and health aspects have been considered in the site selection process.
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